Alpine Ibex Conservation Strategy

The Alpine ibex in the Italian Alps:

status, potential distribution and management options

for conservation and sustainable development

 

 

 

Istituto Oikos

 

 

Istituto Nazionale per La Fauna Selvatica "Alessandro Ghigi"

 

 

 

Università degli Studi dell’Insubria – Dipartimento di Biologia Strutturale e Funzionale

 

 

 

With the contribution of:

Pending

Gruppo Stambecco EuropaFederazione Italiana della Caccia

 

 

 

Eugenio Dupré, and Luca Pedrotti and Serena Arduino

DRAFT, JuneSeptember October 2001

 

 

Authors:

 

This study draws extensively from the Italian Ungulate Database and recognizes the following scientists as essential contributors:

 

Project coordination:

 

 

The study was funded by WWF International through the Large Herbivore Initiative (Project 9E0154.01).

 

The Italian Ungulate Database was funded by Ministero per le Politiche Agricole, Ministero dell’Ambiente – Servizio Conservazione della Natura and Federazione Italiana della Caccia (Ministry of Agricultural Policy, Ministry of Environment-Nature Conservation Service, and the Italian Hunting Federation).

TABLE OF CONTENTS

Abstract

iii

Acronyms

iv

AcknowledgmentsAcknowledgements

v

   

1. Introduction

1

    1. 1.1 Problem statementt

1

1.2 Background

1

1.3 Project goals and objectives

2

1.4 Project design

3

1.5 Organization / Project team

4

   

2. Overview of ibex issues in the Italian Alps

4

2.1 The Italian Alps

4

2.2 Brief history

5

2.3 Current status

6

2.4 Ecological distribution

7

2.5 Main policy and decision-making levels

8

2.6 Hunting

8

2.7 Protected areas

10

2.8 Status of Alpine chamois and its relationship to ibex

112

   

3. Present status of ibex in the Italian Alps

13

3.1 Collection of data on existing Alpine ibex colonies: methodology

13

3.2 Present distribution

16

3.3 Population size

18

3.4 Status and evolution of population size

25

3.5 Hunting and numerical control

310

   

4. Assessing potential distribution of Alpine ibex in the Italian Alps

354

4.1 Review of similar studies

35

4.2 Methodology

35

4.2.1 Study area and management units

35

4.2.2 Ibex ecology

38

4.2.3 The database and the GIS

39

4.2.4 Data analysis

42

4.3 The predictive model for siliceous environment

43

4.3.1 Case study

43

4.3.2 Model implementation

45

4.4 The predictive model for limestone environment

49

4.4.1 Case study

49

4.4.2 Model implementation

52

4.5 Model validation

55

4.6 Model application

58

4.7 Synthesis

623

   

5. Conclusdiveing remarks

712

5.1 Conclusions

712

5.2 Recommendations

723

5.3 Drafting guidelines for a future conservation strategy of Alpine ibex in Italy

734

5.4 Next steps

756

   

6. References

767

   

Annex

823

 

 

ABSTRACT

 

This study presents the first comprehensive overview of the status of Alpine ibex in the Italian Alps, based on an extensive data collection usingaccording to a standardized methodology. For the first time, a thorough synthesis of information on the 69 Italian ibex colonies is available, covering traditional themes such as distribution, population size and growth rate, but also more specific issues such as the year and cause of origin, number of translocated ibexes, and type of management. Then, a comparison is made between actual current and potential ibex status and distribution, and implications for the conservation and management of the species are presenteddrawn. The potential situation (distribution, size, density) is estimated by applying from the application to the entire Italian Alps of two models that assess the quality of ibex habitat and predict ibex potential distribution at the local scale. The two models had already been conceptually developed from data on different ibex populations living in the Italian Alps (one for the siliceous substratum and one for the calcareous-limestone-dolomite substratum), but, for the purpose of this study , they were redesigned to reflect the coarser scale of the data available for the whole Italian Alps. Their application to the study area according to the underlying lithological substratum revealed the gap between current and potential status and contributed to identifying conservation and management issues and developing recommendations for future reintroduction programmes.

 

 

 

 

 

 

 

 

ACRONYMS

 

EU European Union

GP Game Park

GPNP Gran Paradiso National Park

INFS Istituto Nazionale per la Fauna Selvatica (National Wildlife IInstitute)

LCIE Large Carnivore Initiative for Europe

LHI Large Herbivore Initiative

MU Management Unit

NP National Park

 

ACKNOWLEDGEMENTS

 

Several people contributed to this study, by both providing data and discussing various aspects of ibex conservation in the Italian Alps. The authors wish to thank them for their assistance.

 

Bruno

Bassano

Parco Nazionalea Gran Paradiso

Sandro

Bergamo

Parco Naturale Alta Valsesia

Pierre

Bertieux

Regione Valle d’Aosta

Radames

Bionda

Parco Naturale Alpe Veglia Devero

Carlo

Borgo

 

Enrico

Boscaini

Ufficio Operativo Azienda Regionale delle Foreste Alto Garda

Sandro

Brugnoli

Provincia di Trento

Giuseppe

Canavese

Parco Naturale Alpi Marittime

Marco

Cantini

Provincia di di Como

Giorgio

Carmignola

Provincia di Bolzano

Ermanno

Cetto

Provincia di Trento

Barbara

Chiarenzi

Istituto Oikos

Paolo

Craveri

Provincia di Cuneo

Michele

Da Pozzo

Parco Naturale Dolomiti d’Ampezzo

Renzo

De Battisti

Coordinamento Regionale Veneto Corpo Forestale dello Stato

Paolo

De Martin

Foresta Demaniale di Tarvisio

Andrea

De Matteis

Università di Torino

Mauro

Devalier

Provincia di Belluno

 

Di Bernardo

Foreste Demaniali di Tarvisio

Lilia

Domeneghetti

Regione Valle d’Aosta

Renato

Dotta

 

Heinrich

Erhard

Provincia di Bolzano

Luca

Favalli

Parco Naturale Dolomiti Friulane

Maria

Ferloni

Provincia di Sondrio

Pietro

Ferraris

Parco Naturale Alta Valsesia

Pietro

Gatti

Provincia di Lecco

Fulvio

Genero

Parco Naturale Prealpi Giulie

Marco

Giovo

 

Romano

Maséè

Provincia di Trento

Silvano

Mattedi

Parco Naturale Dolomiti Friulane

Piergiuseppe

Meneguz

Università di Torino

Benito

Moriconi

Comprensorio Alpino Alta Valtellina

Daniele

Moroni

Provincia di Sondrio

Giacomo

Moroni

Provincia di Bergamo

Andrea

Mustoni

Istituto Oikos

Paolo

Orellier

Regione Valle d’Aosta

Michele

Ottino

Parco Nazionale Gran Paradiso

Piergiuseppe

Partel

Parco Naturale Paneveggio Pale di S.Martino

 

 

 

 

 

Franco

Perco

Provincia di Pordenone

 

Aurelio

Perrone

   

Stefano

Piccinini

   

Lucia

Pompilio

   

Alberto

Ricci

Parco Nazionale Stelvio

 

Luca

Rotelli

   

Ettore

Sartori

Parco Naturale Paneveggio Pale di S.Martino

 

Giovanni

Scherini

Istituto Oikos

 

Graziano

Simonini

Provincia di Sondrio

 

Gianmaria

Sommavilla

Provincia di Belluno

 

Marco

Testa

Provincia di di Como

 

Andrea

Vanotti

Provincia di Sondrio

 

Vittorio

Vigorita

Regione Lombardia

 

Gilberto

Volcan

Parco Naturale Adamello Brenta

 

Mathias

Zoeschg

Provincia di Bolzano.

 

 

 

Alpine Ibex Conservation Strategy

The Alpine ibex in the Italian Alps: status, potential distribution and management options for conservation and sustainable development

Eugenio Dupré and Luca Pedrotti

 

 

1. INTRODUCTION

 

1.1 Problem statement

The Alps are a unique mountain ecosystem threatened by increasing human pressure. In this region, conservation and development issues have usually been addressed at the local or national levelscale; rarely at the scale of the entire ecosystem. What seems to have been missing is a regional approach and an overall strategy for the Alps. Only recently have attempts been made to look at the whole Alpine range beyond national boundaries: one is the work of the Large Carnivore Initiative for Europe (LCIE); another is the ecoregional conservation initiative launched in 1999 by the WWF organizations of the Alps. These initiatives deserve to be encouraged and need to be integrated with others.

The LCIE sponsored a study of the large carnivores on of the Alps (bear, wolf, lynx) and was responsible for the development of action plans at European level. As part of the study, the current distribution and the areas suitable to large carnivores throughoutin the entire Alps were identified, as well as were potential corridors (Corsi et al. 1998). SA similar effort research for large herbivores hasdoes not yet exist been undertaken but it would nicely be extremely interestingcomplement the carnivore study.

This study on Alpine ibex is a first attempt to remedy the lack of information on herbivores, and this report describes its results for the entire Italian Alps. Far from being as comprehensive as that of the LCIE on large carnivores, it is a first step towards an Alpine-wide map; it does no’t cover the entire Alps but atl least – and for the first time – it covers the whole Italian portion.

 

1.2 Background

The purpose of the study is to provide a tool that will assist in planning ibex management and distribution in the Italian Alps through an estimation of the extent of available habitat and a comparison of current and potential population. is to assess the present status of Alpine ibex in Italy, to develop a GIS-based model to evaluate the potential ibex winter distribution, to estimate the extent of available habitat, to compare current and potential population, and to provide a tool that will assist in planning ibex presence and management in the Italian Alps. To do so, two models that were already available (one for siliceous and one for calcareous substrata) were redesigned and extended to the entire Italian Alps.

The first model (predictive of the potential distribution of Alpine ibex over siliceous substratum in South Tyrol) was developed by the INFS (Istituto Nazionale per la Fauna Selvatica, the Italian National Wildlife Institute) in cooperation with the public administration in of Bolzano (Pedrotti & Dupré 2000).

The second model (for the potential distribution of Alpine ibex on sedimentary/calcareous substratum) was also recently developed by Istituto Oikos as part of the feasibility study for the re-introduction of ibex in the south-western Dolomites (Paneveggio-Pale di S. Martino Natural Park and Dolomiti Bellunesi National Park) (Pedrotti et al. 2000).

These two substrata (siliceous-metamorphic and sedimentary-calcareous or limestone) represent the main and most common habitat types in the Alpine range. Both models are based on wintering areas because winter is considered the most critical period for ibex survival (Nievergelt 1966, Wiersema 1983a). Assessing the range and distribution of ibex potential wintering areas assists in predicting ibex potential range and driving sound management options. The validation of the two sub-models has proven excellent.

The two predictive models were applied to the whole Italian Alps, according to the different geological substrata, to compare actual current and potential ibex winter distribution. Potential wintering areas turned outwere determined to be much more extended and widely distributed than the actual ones: ibex populations are currently distributed over only about 5,000 km2 only, which represents a small portion of the estimated suitable areas, and the present current distribution ranges of ibex populations are is still small limited in all management units.

However,It is important to state that the two original models were calibrated based on estimated from local data sets;, therefore, a simple extrapolation to the whole alpine range based on data sets collected aton a different scale may presented an intrinsic weakness that needed to be addressed and which is due to the fact that the covariates coefficients of the regression/classification functions were estimated from local spatial data sets acquired at a detailed map scale. Namely, the predictions of the models may have been give incorrect if the models had been applied to environmental data sets arranged (acquired) at a different scale level (i.e., less or more detailed), or may have been misleading if the characteristics of the spatial data set of the predictions area did not conform to the model ones.

For this reason,, for the purpose of this study the two original models were redesigned to yield more generally applicable results and, as a trade-off, they are less accurate when considered at at a small (i.e., small (i.e., more detailed)) scale.

 

1.3 Project goals and objectives

Project goal:

To contribute to the conservation and management of ibex in the Alps through an assessment of their current status (chapter 3) and through the implementation of two models of potential distribution models in the Italian Alps (chapter 4). The synthesis of this information will help to identify the conservation and management priorities and define courses of action at a broad levellarge scale (chapter 5).

Project objectives:

  1. To collect preliminary ibex data available in Italy (distribution, population size, type of management of ibex colonies) (paragraphs 3.2., 3.3 and 3.5).
  2. To digitise and harmonize data into GIS as necessary (chapter 3 and 4).
  3. To define the current status (population size evolution and future trend) of ibex in the Italian Alps (paragraphs 3.3 and 3.4).
  4. To briefly analyse briefly the types of ibex management in the Italian Alps (paragraphs 3.4 and 3.5).
  5. To briefly review briefly other similar studies or habitat suitability models (paragraph 4.1).
  6. To assess the areas ecologically suitable to ibex (i.e., / the potential distribution of ibex) in the Italian Alps (at a broad regional scale) (chapter 4).
  7. To evaluate whether new field surveys are needed (paragraph 4.5).
  8. To draft guidelines/action plan for future conservation and management strategies (including reintroductions) of ibex populations and their important habitat in the Italian Alps, while ensuring the compatible development of human activities (chapter 5).

In particular, chapter 3 is devoted to a thorough overview of ibex status in the Italian Alps. It refers to all the existing ibex colonies and presents an overall census, archive and database with information on year and cause of colony their origin, colony size and growth rate, type of management, etc. This wealth of information had never before been compiled and synthesized for the entire Italian portion and is thus a new contribution.real novelty.

Chapter 4 focuses on the two redesigned models and their extension to the entire Italian Alps. Specific colony data refer only to the sample colonies used to develop the models and the relevant environmental variables. This colony database is more detailed than that described in chapter 3.

 

1.4 Project design

The project was undertaken in five different phases:

Phase 1:

Preliminary activities

  • Contacts with relevant agencies, organisations, local experts and universities of the Italian Alps to ensure their cooperation.
  • Fine-tuning of the ibex models and definition of sample areas for the application extension of the models to other areas.

Phase 2:

Data collection

  • Collection of environmental data (for the data already obtained and used for the Ungulate database of INFS, seeking ofk new permission to re-use the material (for the data already obtained and used for the Ungulate database of INFS).
  • Collection of the ibex data available in all Italian Alpine regions:
  • data concerning distribution, population size and management of each Alpine colony;
  • data concerning location and range of ibex wintering areas in the sample units.
  • Evaluation of whether field surveys are needed to integrate the available data.

Phase 3:

Data input and harmonisation

  • Digitisation of data into GIS (for data obtained in hard copy only) and harmonisation of other digital data (for ibex only; environmental data had already been digitised by public administrations).

Phase 4:

Data analysis

  • Analysis of the status of ibex.
  • Analysis of the types of ibex management.
  • Review of similar studies of habitat evaluation models for ibex.
  • Analysis of the areas ecologically suitable to ibex (at the regional scale).
  • Validation of the models.
  • Production of maps (species distribution and density, areas ecologically suitable to ibex and potential connecting areas, priority areas).

Phase 5:

Development of guidelines for an action plan

  • Contacts with local administrations, organisations (GSE – European Ibex Group) and uUniversities of the Italian Alpine regions to present and discuss preliminary results in order to outline regional management priorities.
  • Production of a final report including the results of the data analysis and the management guidelines defined in cooperation with the local agencies, taking into account the regional management needs that have emerged from the study.

 

1.5 Organisation/Project team

The project team is composed of the Istituto Nazionale per la Fauna Selvatica, the Biodiversity Analysis and Management Unit of the State University of Insubria, the non-profit organisation Istituto Oikos. Istituto Oikos was the project promoter and was responsible for project management; INFS and the State University of Insubria were responsible for the technical implementation and the scientific supervision.

Financing for the project was provided by the Large Herbivore Initiative (LHI) through WWF International.

Co-financing to outline status, distribution and population size of all ungulates distributed in the Italian Alps, and to compile a database for the Italian ungulates was provided by the Italian Ministry of Agricultural Policy, te, the Italian Ministry for Environment and Federazione Italiana della Caccia (FIdC, the main national hunting association).

 

 

2 . OVERVIEW OF IBEX ISSUES IN THE ITALIAN ALPS

 

2.1 The Italian Alps

Italy is a mountainous country with about 35% of its 300,000 km2 lying above 2000m. The Italian Alps are arc-shaped and form the country’s northern border with France, Switzerland, Austria and Slovenia. They can be divided into three contiguous sections: 1) the Western western Alps running south from Aosta almost to the Gulf of Genoa; 2) the cCentral Alps stretching east from Aosta as far as the Brenner pass between Italy and Austria and . They includinge Italy’s highest mountains (Monte Cervino, 4,478m, and Monte Rosa, 4,634m ) and of course Mont Blanc, the highest peak of the entire Alps, (4,808 m), the highest peak of the entire Alps); and 3) the eEastern Alps extending east from beyond the BBrenner to Trieste, and includinge the Dolomites.

According to the boundaries of the Alpine Convention, tThe Italian Alps cover 45about ,39052,600 km2, from the Imperia province to the west, to the province at of Trieste to the east (but the study area of this project is slightly smaller). Fourty-oneTwenty-eight percent of the Alpsir land area lies below 1000m;, 4739% lies between 1000 and 2000m, and the remaining 215% is found above 2000m (Fig. 2.1). The three sections, however, are not homogeneous. T: the Wwestern Alps (Piemonte and Valle d’Aosta regions) have higher peaks on average;. h Here, only 21% of the land area is below 1000m while 34% is above 2000m. I; in the cCentral Alps, 31% of the area lies below 1000m and 27% above 2000m. I; and in the Eastern eastern Alps, with the lowest average elevation, 32% is found below 1000m and only 15% above 2000m.

Figure 2.1 - Distribution of elevation in the Italian Alps: highest massifs are mainly located in the north-western and central portions. The red lines represent the borders of the management units for ibex conservation and management (see par. 3.1 for further explanations).

 

2.2 Brief history

Ibex (Capra ibex) is distributed in Eurasia and Ethiopia in extremely fragmented areas corresponding to main mountain ranges.

Systematicss of Genus Capra is still controversial due to the different classification criteria in use. Capra ibex is subdivided into the following subspecies: Capra i. ibex, the Alpine ibex, distributed all over the Alps; C. i. sibirica, the Siberian ibex, present in Asia, the Russian Turkestan and Central central Siberia, Mongolia, Chinese Turkestan, Kashmir, a limited portion of Tibet, Chitral (Pakistan) and north-western Afghanistan; C. i. nubiana, the Nubian ibex, in Northern northern Egypt, Northnorth-eastern Sudan, Oman and some parts of Arabia, Israel and Jordan; C. i. walie, the Walie ibex, in the Semien massif; C. i. caucasica, in the Westernwestern Caucasian tur or Kuben tur (C. i. severtzovi, according to Ellerman & Morrison-Scott 1951). Recently a subdivision into 5 different species has been proposed, whereby and ibex populations presently occurring in northern Africa and Asia at present would be are usually treated as species distinct from Capra ibex (C. nubiana, C. sibirica, C. walie).

The ancestors of Genus Capra appeared between the end of Miocene and the beginning of Pliocene in Centralcentral-western Asia. Subsequently, according to Geist’s hypothesis (1985, 1987), four radiations originating in the Caucasus led from Ammotragus to the current species of Genus Capra. The most recent one led, during the Riss glaciation, led to today’s form of Capra ibex.

During the last glaciation (Riss) ibex ended up occupiedying their most extended ranges in the Alps and in other mountain areasranges, both in Alpine and non-Alpine countries: Spain, France, Belgium, Luxembourg, Switzerland, Austria, and Germany, Slovenia and Croatia up to Montenegro, the Czech Republic, Slovakia, Hungary and Romania. In Italy, past distribution reached the southern regions of Campania, Basilicata, Puglia and perhaps Sardinia. After the last ice age, ibex disappeared from the territories surrounding the Alps as soon as forests recovered their former, larger ranges, as showed by Neolithic findings in the upper high Po Rriver Bbasin.

After centuries of active extermination mainly due to intensive hunting, at the beginning of the XIX century only about 50-100 individuals of Alpine ibex survived in the Gran Paradiso massif (Valle d’Aosta region, Italy), due to the protection granted by the Royal Savoia Royal Family. Current ibex populations found inon the Alps are generally restricted to mountain areas above the tree line and are the result of both translocations from the original core of 100 individuals and natural colonisation. Re-introductions began at the end of the XIX century in the Swiss Alps, while in Italy they have been significant only in the last 20-30 years. These efforts, together with spontaneous migration from adjoining countries, have increased the number of areas inhabited by ibex, although the distribution is still discontinuous (Stüwe & Nievergelt 1991).

With current conservation and management practices the status of Alpine ibex is now considered safe and the species is listed as Lower Risk in the 1996 IUCN Red List of Threatened Animals.

 

2.3 Current status

Nowadays Alpine ibex is currently distributed throughoutall over the Alps due to re-introduction projects and natural population dispersion. Up to 1990, ibex reintroduction involved 175 different Alpine areas sites were interested by ibex immissionintroduction.! Ibex distribution starts in goes from tthe western Maritime Alps (Argentera massif) in the west and continues eastward to the Stirian limestone Alps in Austria and the eEastern Karawanken Alps on the border between Austria and Slovenia, covering all Alpine countries.

In 1993, At present, 31,000 ibex live in the Alps (Weber 1994, Pedrotti & Lovari 1999). Populations have been growing steadily since the 1960s, showing a mean annual growth rate between 3% and 6% (Table 2.1). About 15,000 ibex wereare estimated in Switzerland, 9700 in Italy, 3,200 in Austria, 3,300 in France, 250 in Slovenia and, and 220 in Germany (Shackleton 1997).

On the whole, 1455 different colonies are are estimated in the Alps (Giacometti 1991, Weber 1994).

There exist about 1456 colonies; Oof these, 50% of the individuals and 33% of the colonies are found in Switzerland. However, a wide gap between actual and potential distribution is still present in a large portion of the Alps, although even if with major differences among the Alpine countries. In Switzerland and Austria, for example, all suitable ibex habitat is considered occupied; in France the policy for ibex conservation is to continue re-introducing and restocking populations in appropriate habitat; in Germany only a limited portion of the country provides suitable ibex habitat and the species has a patchy and isolated distribution; and in Italy between 1985 and 2000 ibex increased from 5,100 to 13,000 individuals with and more than 50% (6,900) are found within protected areas.

Table 2.1 – Increase of Alpine ibex population in the Alpine range (1962-1993).

Year

1962

1977

1983

1987

1993

Abundance

6,500

15,000

18,000

23,000

31,000

Mean annual growth

--

5.7%

3.1%

6.3%

5.1%

 

2.4 Ecological distribution

Ibex is a good climber, well adapted to rocky, steep and arid environments and to a fibreer-rich diet. These characteristics, together with a preference for open habitats, make ibex a typical glacier follower like other wild Caprinae. Most habitat suitable to ibex is located both in sub-Mediterranean climate and continental regions, where dry climate characterizes inner valleys.

In the Alps, ibex live mainly above the tree line, visiting lower elevations only in winter and spring. C (chamois, on the contrary, are more adaptable and range from submontane, mixed broadleaf woodlands around 500m or lessower in winter, to alpine areas in summer).

The most important ecological constraints to ibex spatial distribution are the elevation of the rocky montanemountain regions and the type of vegetation available type. Ibex occupy elevation ranges between 1,600 and 2,800m during winter and between 2,300 and 3,200m during summer. Rock cliffs and alpine meadows are most frequented throughout the year. Wintering areas, situated at intermediate elevation, are steep rugged south-exposed slopes (35°-45°) with grassy vegetation,, rugged and interspersed with rocks. Rock cliffs and alpine meadows are the land cover categories most frequented throughout the year. Rock vegetation and scree at the highest elevation are frequented exclusively during summer. Closed and continuous forests and glaciers interfere with ibex dispersal and slow down the colonization of new areas.

Alpine ibex’ and Alpine chamois’ ranges overlap substantially, but because the former tends to keep stay at higher altitudes, competition between them is unlikely to occur (Pfeffer & Settimo 1973, Schröder & Kofler 1984) (see also 2.8). Exceptions are ibex colonies introduced in atypical locations, wheren the two species completely overlap during winter (Kofler & Schröder 1985, 1990).

The ibex dispersion strategy when colonizing new areas is quite slow. Due to their ecological constraints, wWinter ranges characterize ibex as an insular species. are used in a "traditional" way, especially by females (Pedrotti 1995). When colonizing new areas, ibex dispersion strategy is quite slow. Their ecological constraints characterize ibex as an insular species. Ibex do not disperse as fast as like chamois or roe deer, but tend to remain in their traditional ranges while increasing their density (Gauthier et al. 1994). Indeed, only when a certain population density level is reached will new areas will new areas be colonized by young, pioneer individuals, but in winter these individuals stage actual annual migrations as they tend to return to their original wintering areas. Wintering areas are thus used in a "traditional" way, especially by females (Pedrotti 1995), and Ccolonization of new areas becomes permanent only one generation later, with the offspring of pioneer females. The whole process takes 10-15 years (Nievergelt 1966, Gauthier & Villaret 1990).

 

2.5 Main policy and decision-making levels

In Italy, at the national level, the Ministry of Agricultural Policy and the Ministry of Environment are responsible for the management and protection policies of wildlife. Regional and provincial services, as well as national and regional park agencies, are responsible for local management. In both cases (local administrations and protected areas) the advisory agency is the Italian National Wildlife Institute (INFS).

Several independent groups have a strong interests in Alpine ibex conservation, such as the European Ibex Group and the Friends of the Rhaetian Ibex.

 

2.6 Hunting

Based on current hunting legislation, hunting activity is organized according to sub-provincial management units called "Comprensori Alpini" (Fig. 2.2). Each Any hunter is entitled to hunt in only one unit. Within each Comprensorio, hunting of wild ungulates is regulated according to annual harvest plans which specify the sex and age class of the individuals to be hunted. These plans are developed on the basis of the numerical evolution of the populations, determined through censuses (exhaustive or by sample areas).

The INFS has recently developed a data management system (Ungulate Database, Pedrotti & Dupré 2001) containing all the information available for hunting units and protected areas on:

This is an unparalleled source for information on hunting practices in Italy.

The mMean extension of the 49 Comprensori in the western Italian Alps (Piemonte, Valle d’Aosta) is 41,710 ha (min 8,260 ha, max 96,050 ha, sd 23,235 ha); in the western-central Italian Alps (Lombardia, some provinces of Veneto) the mean extension of the 39 Comprensori is 38,360 ha (min 8,210, max 126,680, sd 24,960 ha). In the central-eastern Italian Alps (Trentino-Alto Adige, Veneto, Friuli-Venezia Giulia), instead, the administration of hunting activities mainly follows central European criteria and the basic management unit is the "Riserva Comunale di Diritto" (Community Reserve) open to the access of residents only. The extension of these 845 Community Reserves is a great deal smaller than that of the Comprensori, with a mean value of 2,970 ha (min 73 ha, max 29,365 ha, sd 3,000 ha).

 

 

Figure 2.2 – Basic hunting management units in the Italian Alps (black lines). In red the boundaries of the various provinces; in dark green the protected areas.

 

The dDensity of ungulate hunters is higher in the central-eastern Alps and in the Province of Torino (Fig. 2.3). T: this is usually directly correlated to the size of hunted populations and of the hunting bag. In the eastern Alps and in some Comprensori of the Province of Brescia hunting of roe and red deer is also undertaken with hounds.

Figure 2.3 – Hunters’ density in the management units (Comprensori) of the Italian Alps (from Carnevali et al. 2000).

 

 

2.7 Protected areas

In Italy there exist Ddifferent types of areas in which hunting is not allowed exist in Italy, according to different pieces of legislation. The national legislation on protected areas (L. 394/91), for example, establishes National Parks and Regional Natural Parks; in the latter, any hunting activity is prohibited. , in accordance with national legislation. Exceptions are the Natural Parks of the Autonomous Provinces of Trento and Bolzano: here the 8 existing parks are here under a separate local hunting legislation and hunting takes place according to the different Community Reserves system as in the like in the other part of the remaining provinceial territory. By law hunting is also prohibited in state forests under both national and regional jurisdiction.

The national legislation on hunting and the protection of homeothermic fauna (L. 157/92) calls for hunting-free areas called "Oasi di Protezione" (protection areas) and "Zone di Ripopolamento e Cattura" (areas of repopulation/re-stocking and capture). These are placed under provincial jurisdiction and are managed according to 5-year wildlife management plans (Piani Faunistico-Venatori). At the end of the 5-year period, On the expiration date tthese areas can be placed under a different type of land tenure; , however, at least 20% of the land area in each Alpine province must be closed to hunting (protected areas and state forests also are included in concur to this percentage).

Figure 2.4 – Distribution of protected areas in the Italian Alps. In dark green national and natural parks; in light green "oasi di protezione" and state forests (Foreste Demaniali); in red boundaries of management units for ibex conservation and management (see par. 3.1). for further explanations).

 

Of the 45,390 km2 of the Italian Alpine area under consideration for this study, 21.8% (9,900 km2) is under some form of protection (24.7% in the western Alps and 20.5% in the central-eastern Alps). The distribution of the various types of protected areas, however, is markedly different in the two sectors of the Alps (Fig. 2.4). I: in the western Alps, 50% of the 3,430 km2 under protection is National or Natural Parks and the remaining 50% is Oasi di protezione and state forests. In the central-eastern Alps, 74% of 6,470 km2 i is National and Natural Parks, whereas only 26% is Oasi di protezione and Foreste Demaniali.

 

2.8 Status of Alpine chamois and its relationship to Alpine ibex

The Ungulate Database made it possible to compile a satisfying overview of the current distribution and status of Alpine chamois. Given that ibex and chamois ranges overlap (see 2.4), the information currently available on chamois distribution and abundance represents one key factor to take into account when developing a future strategy for the reintroduction of ibex on the Italian Alps.

Alpine chamois is today unevenly distributed throughout the Italian Alps , even if with different density levels (Fig. 2.5): it is evenly present from the Friuli Venezia Giulia region in the east to the Province of Imperia in the west, and only sporadically present in the Province of Savona, the south-western limit of its range (Tosi & Lovari 1997). The Alpine chamoisIts range extends to 41,130 km2, or 14% of the national territory.

The total chamois population in the Italian Alps is estimated around 123,000 individuals, with a mean density of 4.3 individuals/100 ha calculated on the total extension of the areas suitable to chamois (about 27,000 km2). About 19,500 individuals (or 16% of the entire Italian population) are found in 5 protected areas (the Maritime Alps and the Dolomiti Ampezzane Natural Parks, and the Gran Paradiso, Stelvio and Dolomiti Bellunesi National Parks). The largest population sizes are recorded infor the autonomous provinces of Trento and Bolzano and infor the Piemonte region, where 62% of all Italian chamois are found (37% only in the Trentino-Alto Adige region only).

Chamois densities (calculated only on the the extension of arareas suitable to chamois in each province) are generally higher in the Lecco, Bergamo, Trento and Bolzano provinces (5.5-8.6 chamois/100 ha). Overall highest densities (7.4-10 chamois/100 ha) are found in certain protected areas and private hunting preserves, probably due to a population "compression" consequent toresulting from hunting in adjacent areas and from to the fact that almost all landbase is suitable. The absolute highest densities are recorded for GPNP, Valle d’Aosta side (18 chamois/100 ha) and the Maritime Alps Natural Park (12 chamois/100 ha). Excluding the large national and natural parks, the highest densities are found in the central-eastern Alps (Fig. 2.5), especially in the Trento and Bolzano provinces (concentrating the highest densities in the western part of the Trentino region).

Figure 2.5 – Distribution and density of chamois populations in the Italian Alps; borders of management units for ibex conservation and management are outlined in green (see par. 3.1. for further explanations).

 

Chamois hunting is undertaken in almost all Italian Alps; only in the provinces of Savona, Como, Brescia, Verona, Gorizia and Trieste is is the species is not hunted. In the 1998-99 period 9,000-11,000 chamois were annually harvested (7-9% of the total population, 60% of which in the Trentino-Alto Adige region only). The total number of hunted chamois increased progressively between 1996 and 1999 (respectively 7,617, 8,817, 8,764 and 10,798 individuals harvested). In 1999 hHarvest was numerically significant in the following provinces (1999): Verbania (313 chamois), Torino (418), Sondrio (493), Belluno (768), Aosta (1,007), Trento (2,458) and Bolzano (4,147).

 

 

3. PRESENT STATUS OF IBEX IN THE ITALIAN ALPS

This chapter provides the first complete overview of the status of ibex in the Italian Alps and is based on the Ungulate Database. Local information has been available all along, but never before was it compiled onat such a llarge scale and with standardized methodology.

3.1. Collection of data on existing Alpine ibex colonies: methodology

In 1998-2000 the status of ibex colonies in the Italian Alps was investigated by an extensive review of available literature and by direct contacts with provincial, regional and protected area agencies to gather all the information related to origin, distribution, abundance and evolution of their ibex populations. This information was subsequently refined, corrected and validated by direct contacts and data exchange with researchers and local experts (for a detailed list of the people involved please see AcknowledgmentsAcknowledgements).

The colonies’ distribution ranges were reported on paper maps at 1:25000-50000 scale. Boundaries of colony areas were then digitised in Universal Transverse Mercatore (UTM, zone 32N) coordinates using the geographic information system ArcI/info for NT Windows 2.07 and ArcV-view 3.1. In some cases, provincial agencies and local experts directly supplied distribution ranges of colonies in numerical form. All data were harmonized into a single coverage in shapefile format (see Figg. A.1 and A.2 in Annex).

The polygon data set was joined, by means of an ID colony number, to an Access database file containing all the information collected on each colony (Fig. 3.1). For each ibex colony the following data were collected:

 

Figure 3.1 – The insertion mask for the ibex colonies’ database.

 

The Italian Alpine range was subdivided into 17 ibex management units (MUs) including areas with similar habitat characteristics (Fig. 3.2 and Table 3.1). Such units were defined to include populations which are relatively isolated and with minimum chance of exchange of individuals from one unit to the other. By "Ppopulation" is defined as meant a group of individuals of the same species that lives in a common territory and are that can be characterized by the same demographic parameters.

For this reason, MU boundaries were defined following natural boundaries like main valley bottoms and lowest alpine passes, which are deemed to be the main ecological barriers to ibex movements and thus the features limiting the populations’ ranges. The southernmost boundaries towards the Po plaine were set along the ideal line joining all the 1000m contour lines. Needless to say, given that ibex does not recognize administrative boundaries, in many cases ibex MUs should in many cases extend beyond national borders to include entire populations. This was not attempted as part of this study, but its obvious implications should be kept in mind.to consideration.

Several MUs currently contain ibex colonies completely separate and without exchanges of individuals among them. The MU’s shape and extension were defined on the basis of the species’ potential distribution to allow a comparison with actual distribution, and to support the assist the development of an overall strategy for ibex conservation and management. Average MU extension is 2,670 km2; min extension MU No. 2 "Alpi Marittime" with 930 km2, max extension MU No. 15 "Dolomiti" with 6,100 km2 (Table 3.1). Each MU was named according to the main mountain range included.

 

 

Figure 3.2 – The Italian Alps were subdivided into 17 management units (MUs) that minimize population exchange (red lines); in light green the present distribution of Alpine ibex colonies.

 

Table 3.1 – Size and administrative boundaries of the 17 management units into which the Italian Alps were subdivided for ibex population management purposes.

No.

Management Unit (MU)

Total surface (km2) (km2)

Provinces

1

Imperia

1218

Imperia, Cuneo

2

Alpi Marittime

929

Cuneo

3

V. Maira – Orsiera

3166

Cuneo, Torino

4

V. Lanzo - G. Paradiso - M. Bianco

3594

Torino, Aosta

5

Sx Aosta – M. Rosa - V. Anzasca

3587

Aosta, Biella, Vercelli, Verbania

6

V. Formazza - V. Grande

1339

Verbania, Varese

7

Alpi Lepontine

1292

Como, Sondrio

8

Alpi Retiche - Bernina

1042

Sondrio

9

Alpi Orobie

3190

Lecco, Bergamo, Sondrio, Brescia

10

Adamello

2279

Brescia, Trento

11

Brenta

2936

Trento, Bolzano, Brescia, Verona

12

Alpi Retiche - Ortles - Cevedale

3255

Sondrio, Brescia, Trento, Bolzano

13

V. Venosta - Brennero

2484

Bolzano

14

V. PusteriaPusteria

1547

Bolzano

15

Dolomiti

6104

Bolzano, Trento, Belluno

16

Alpi Carniche - Alpi Giulie

4552

Udine, Pordenone, Belluno, Bolzano

17

Asiago – Grappa

2876

Trento, Verona, Vicenza, Belluno, Treviso

WESTERN ALPS (1-6)

13833

CENTRAL ALPS (7-13)

16478

EASTERN ALPS (14-17)

15078

TOTAL

45389

 

The following ancillary thematic coverages were harmonised and stored into a GIS project in Universal Transverse Mercatore (UTM, zone 32N) coordinates:

 

3.2 Present distribution

At present about 69 colonies are found in the Italian Alps ranging over 5,000 km2 (Fig. 3.3). In some portions of the western and central Alps, distribution of populations has become rather continuous in the last ten years, thus making the identification of well-defined boundaries between colonies more difficult.

Reintroduction programmes started in the 1980s, except for translocation into the Maritime Alps Natural Park (the former Valdieri-Entracque Real Hunting Preserve) in 1921 and some pioneer attempts in the Valle d’Aosta region before the 1980s (see Annex).

In Italy, currentactual Alpine ibex distribution is still quite fragmented and far from meeting itsthe potentiall one. Ibex are present in all Alpine regions, from Friuli–Venezia Giulia to Piemonte, and in all Alpine Provinces (15) with the exception of Trieste, Gorizia, Varese, Biella and Imperia (probably lacking habitat suitable to ibex) (Fig. 3.4). The following figures provide evidence of the scattered ibex distribution: 70% of individuals (9,200) is found in three provinces only (Aosta, Torino and Sondrio); 43% (5,600) are found in three parks, namely the Gran Paradiso National ParkNP and Maritime Alps Natural Park in Piemonte and the Stelvio National Park in Lombardia; and 30% (4,000) are in the Gran Paradiso National Park alone. Furthermore, most of the newborn colonies are still characterized by low numbers and densities.

 

Figure 3.3 – Present distribution of Alpine ibex in the Italian Alps (2000). In light grey, the provinces’ borders .

 

Figure 3.4 – Alpine ibex presence in the different Italian provinces in 2000. In dark green, larger populatin size; light green shows the presence of fragmented small populations and lower population size (less than 500 individuals); initials of provinces are showned (seecfr. Fig. 3.3).

3.3 Population size

As already mentioned, about 13,000 ibex are currently found in the Italian Alps, divided among about 69 colonies. For a detailed description of of the distribution, origin, size and evolution of each colony see the Annex.

Overall, about 6,800 ibex, or 51% of the total, areis found within protected areas where hunting is prohibited (National and Natural Parks, State Forests).

Generally, larger populations are concentrated in six provinces: Cuneo, Torino, Vercelli, Aosta, Sondrio and Bolzano (Table 3.2). However, the single largest colonies are localized in (in brackets the province’s name): Gran Paradiso National Park, Lanzo Valleys (Torino and and Aosta), Stelvio National Park (Sondrio and and BBrescia), Maritime Alps Natural Park (Cuneo), Valtournanche (Aosta), Monzoni–Marmolada Massif (Trento and, Belluno), Pelline Valley, St. Marcel and Rhèemes Valleys (Aosta), Monte Rosa Massif (Aosta, Vercelli and, Verbania), Orobie Alps (Bergamo, Como and, Sondrio), Livigno territory (Sondrio), Palla Bianca Peak and Tessa Group (Bolzano) (Fig. 3.5).

 

Table 3.2 – Alpine ibex population size in the Italian regions in , referred to the 1999-2000. period.

REGION

POPULATION SIZE

Piemonte

3,6975

Valle d’Aosta

5,6435

Lombardia

2,134400

Total central-western Alps

11,474740

Trentino–Alto Adige

99856

Veneto

31600

Friuli–Venezia Giulia

450

Total central-eastern Alps

1,75245

TOTAL

13,226485

 

 

 

 

 

 

 

Figure 3.5 – Ibex distribution and mean population density in the Italian Alps (1999-2000).

 

A comparison between the central-western and the central-eastern Italian Alps shows that abundance is seven times higher in the former, outlining how current abundance distribution of ibex populations is unbalanced (the central-western Alps include Piemonte, Valle d’Aosta and Lombardia; the central-eastern Alps include Trentino–Alto Adige, Veneto and Friuli–Venezia Giulia).

A first rough analysis of suitable ibex wintering areas (Ungulate BatabaseDatabase) showed that they are wider in the central-western Alps than in the central-eastern Alps (2,390 km2 vs. 2,050 km2); also ibex actual distribution and abundance are higher in the central-western Alps. Mean densityies, in relation to weighed to the extent of potential areas, isare 1.3 ibex/100 ha in central-western Alps (0.9 ibex/100 ha without the GPNP population) and 0.25 ibex/100 ha in central-eastern Alps. Mean densityies, in relation to weighed to the extent of potential wintering areas, isare 4.8 ibex/100 ha in central-western Alps (3.6 ibex/100 ha without GPNP population) and 0.8 ibex/100 ha in central-eastern Alps (Pedrotti et al. 2001) (Table 3.3). Highest population densities are found in the provinces of Aosta, Lecco and Vercelli (2.5-2.8 ibex/100 ha); however, Aosta mean density dropsfalls to 0.8 ibex/100 ha if GPNP is not considered. Torino and Bergamo reach densities between 1 and 2 ibex/100 ha. Pordenone, Sondrio, Udine and Cuneo haveare characterized by more than 0.5 ibex/100 ha, while the other provinces have less. are below this value.

 

A rough habitat suitability model developed in a previous work (Pedrotti et al. 2001) outlines ranges and distribution of potential ibex wintering areas. This model represents an extremely simplified version of reality and has to be considered at a large scale; however it contributes to a comparative overview of the present and potential situation for the whole Italian Alps. The model assesses winter potential ranges on the basis of the values of elevation, aspect and slope, and assesses global potential distribution assuming all un-forested areasareas not forested aboveover 2000m are suitable summer habitat. Considering the extent and distribution of potential wintering areas derived from the application of the model, it is possible to compute a "mean winter density" for each province as the ratio between current abundance and the extent (in km2) of potential winter areas.

Ibex population of the Gran Paradiso National Park has a winter density of 12.6 ibex/100 ha. The provinces of Vercelli, Torino and Aosta (except the GPNP population) show winter densities between 4 and 8 ibex/100 ha. Lecco, Pordenone, Sondrio, Bergamo, Udine and Cuneo have a density between 2 and 3 ibex/100 ha; Verbania and Brescia about 1 ibex/100 ha and Bolzano, Trento and Belluno between 0.5 and 1.

Without more rigorous predictive models based on objective data and sound statistical procedures, these results provide at least ainteresting orders of magnitude of reference for comparison with the actual situation.

Considering a precautionary density level in wintering areas of 7 ibex/100 ha, the Italian Alps could host at least 30,000 ibex, as opposed to the 13,000 currently present (43% of the potential), of which about 17,000 in the central-western Alps, and about 14,000 in the central-eastern Alps. Having used very conservative potential values, in the Valle d’Aosta region - due to the high actual population density of the GPNP – the difference between real and potential density is even positive. Vercelli, Torino, Sondrio, Lecco and Pordenone are the only provinces where current ibex density is as high as 40% of its the potential one or higherabove. In Cuneo, Bergamo and Udine ibex density values areis between 25% and 40% of its the ppotential ones, while and in the remaining provinces the density isvalues are between 5% and 12% of the potential ones.

Table 3.3 and Fig. 3.5 confirm how present distribution and abundance of Alpine ibex in Italy are still under below their potential values.

 

Table 3.3 – Ibex distribution and population size in the provinces of the Italian Alps (1998-2000). Density was calculated in relation to on potential wintering ranges (km2) (see text) for further explanations). Potential abundance was set at a conservative mean winter density of 7 ibex/100 ha. The last column (Difference %) shows the percentage of present population size against its the estimated potential one. The number of reintroduced colonies is at times expressed aswith a decimal numberfraction (e.g., 3.5) whenn the colony was established by man-made releases after a few individuals had arrived spontaneously but the colony was established by man-made releases.

 

Province

 

Number of colonies

 

Number of reintroduced coloniepopulations

 

Population size

 

Density

/100 ha

 

Winter potential distribution (km2)

 

Potential abundance

 

Difference %

Cuneo

6

3

66870

0.55

284

1988

34%

Torino

6

3.5

2178

1.40

462

3234

67%

GPNP

1

0

765

2.24

114

798

96%

Rest

5

3.5

1413

1.17

348

2436

58%

Vercelli

1

1

600

2.80

87

609

99%

Verbania

5

2

2510

0.39

236

1652

15%

Biella

0

0

0

--

22

154

--

Aosta

12

5

56430

2.55

635

4445

127%

GPNP

1

0

3245

8.89

205

1435

226%

Rest

11

5

2398

0.83

430

3010

80%

Como

1

1

41

--

27

189

--

Lecco

1

1

90

2.57

27

189

48%

Bergamo

2

1

36070

1.34

140

980

38%

Brescia

5

4

181200

0.3300

178

1246

156%

Sondrio

9

3.5

1499380

0.8175

468

3276

462%

CENTRAL-WESTERN ALPS

11474379

1.321

2566

17962

643%

Bolzano

11

2

71820

0.20

957

6699

11%

Trento

4

4

26870

0.15

526

3682

7%

Belluno

3

2

31600

0.313

405

2835

11%

Vicenza

0

0

0

--

9

63

--

Pordenone

1

1

150

0.88

49

343

44%

Udine

2

2

300

0.59

116

812

37%

CENTRAL-EASTERN ALPS

175240

0.25

2062

14434

12%

TOTAL

69

365

13226119

0.83

4628

32396

40%

without GPNP

68

365

9216109

0.61

4309

30163

30%

 

As shown in Table 3.4, the 17 ibex MUs were grouped to form three sections of the Italian Alps of comparable extension: the western Alps (MU 1-6) of 13,830 km2, the central Alps (MU 7-13) of 16,480 km2, and the eastern Alps (MU 14-17) of 15,080 km2. In these three sectors, population density and size decrease from west to east: 9,300 ibex (71%) are estimated for the western Alps, 2,800 (21%) in the central Alps and 1,075 (8%) in the eastern Alps (Fig. 3.6). Summer density is respectively 1.6, 0.5 and 0.3 ibex/100 ha; winter density is 6.0, 1.7 and 0.8 ibex/100 ha. In the western sector, densities remain theare highest even when the historical colony of the GPNP is excluded (summer density: 1.0 ibex/100 ha; winter density: 4.3 ibex/100 ha).

The highest population sizesdensities (>1000 individuals) are found in MUs "Valli di Lanzo – Gran Paradiso – M.te Bianco", "Sx Aosta – M.te Rosa – Valle Anzasca" and "Alpi Retiche – Ortles – Cevedale". Populations above 500 individuals are also found in MUs "Alpi Marittime" and "Dolomiti". Smaller populations below 150 individuals are found in MUs "Alpi Lepontine", "Adamello", "Val Formazza", "Val Pusteria" and "Brenta".

There exist 69 colonies overall: 31 in the western sector, 26 in the central sector and 12 in the eastern sector. Of the 69 colonies, 2 are autochthonous, 36 were created through reintroductions and 31 originated from natural colonization. Of the colonies originated from natural recolonizsation, 11 came from Italian populations, 3 from French ones, 11 from Swiss ones and 6 from Austrian ones. In the western, central and eastern sectors, respectively 42%, 58% and 67% of colonies were created through reintroductions.

Summer density, calculated over the entire summer area available in each MU, varies from 0.1 to 5.8 ibex/100 ha. Not considering the GPNP, the highest summer densities are between 0.8 and 1.6 ibex/100 ha and are found in MUs "Valli di Lanzo – Gran Paradiso – M.te Bianco", "Alpi Marittime", "Sx Aosta – M.te Rosa – Valle Anzasca" and "Alpi Orobie".

Winter density, also calculated over the entire wintering area available in each MU, varies from 0.3 to 12.4 ibex/100 ha. The highest winter densities (3.2-12 ibex/100 ha) are found in MUs "Valli di Lanzo – Gran Paradiso – M.te Bianco", "Alpi Marittime", "Sx Aosta – M.te Rosa – Valle Anzasca" and "Alpi Retiche – Ortles - Cevedale".

The average population density per MU, calculated over the land area currently occupied by each colony, more accurately describes the present situation and varies between 1 and 7.3 ibex/100 ha (GPNP).

 

Table 3.4 – Ibex distribution and population size in the ibex management units of the Italian Alps (1998-2000). Density was estimated according to summer and winter potential ranges (km2) (see text) for further explanations). "Reintro" indicates the number of re-introduced colonies; "Den/distr" indicates the density calculated on omputed on the present distribution range.

No.

Management Unit

Total surface (km2) (km2)

Colony surface

No. of colonies

Reintro

Size

Summer density /100 ha

Winter density /100 ha

Den/distr /100 ha

1

Imperia

1218

0

0

0

0

2

Alpi Marittime

929

285

3

1

606

1.4

7.7

2.1

3

V. Maira – Orsiera

3166

282

6

4.5

368

0.3

1.2

1.3

4

V. Lanzo - G. Paradiso - M. Bianco

3594

1095

9

1.5

6120

3.1

12.4

5.6

4a

GPNP

707

551

1

0

4010

5.8

12.6

7.3

4b

Rest

2887

544

8

1.5

2110

1.6

12.0

3.9

5

Sx Aosta – M. Rosa - V. Anzasca

3587

646

10

5

2135

1.3

4.1

3.3

6

V. Formazza - V. Grande

1339

107

3

1

11107

0.3

0.8

1.0

7

Alpi Lepontine

1292

88

3

0.5

147

0.6

1.5

1.7

8

Alpi Retiche - Bernina

1042

104

2

1

150

0.3

0.7

1.4

9

Alpi Orobie

3190

151

2

2

490

0.8

2.2

3.2

10

Adamello

2279

135

4

4

129

0.2

0.7

1.0

11

Brenta

2936

6

1

1

40

0.2

0.6

6.7

12

Alpi Retiche - Ortles - Cevedale

3255

418

11

6

1344

0.6

3.2

3.2

13

V. Venosta - Brennero

2484

174

3

0.5

494

0.4

1.2

2.8

14

V. Pusteria

1547

79

4

1

86

0.1

0.3

1.1

15

Dolomiti

6104

134

5

4

556

0.3

0.9

4.1

16

Alpi Carniche - Alpi Giulie

4552

113

3

3

450

0.4

1.4

4.0

17

Asiago - Grappa

2876

0

0

0

0

WESTERN ALPS (1-6)

13833

2416

31

13

934036

1.6

6.0

3.9

WA without GPNP

13126

1864

30

13

533026

1.0

4.3

2.9

CENTRAL ALPS (7-13)

16478

1075

26

15

2794

0.5

1.7

2.6

EASTERN ALPS (14-17)

15078

326

12

8

1092

0.3

0.8

3.3

TOTAL

45389

3817

69

36

132262

0.8

3.0

3.5

TOTAL without GPNP

44682

3265

68

36

92162

0.6

2.2

2.8

 

 

 

Figure 3.6 – Presence of Alpine ibex in management units in 2000. Dark green shows higher population size; shades of lighter green show the presence of small, fragmented populations and lower population size.

 

Table 3.5 presents information similar to that ofin Table 3.4 (distribution, size and density of ibex colonies in MUs), but it is relative referred to the 1984-85. period. In that period thereFifteen years ago there were 42 colonies with a total of 6,300 ibex, of which over 60% belonged to the GPNP population. There were about 5,500 ibex (87%) in the western Alps, 700 (11%) in the central Alps and 130 (2%) in the eastern Alps. Not counting the GPNP colony, whose size has remained virtually unchanged, no MU had a population size higher than 600 individuals. Summer density varied from 0.1 to 1 ibex/100 ha, winter density from 0.1 to 5.8.

The average annual population growth rate between 1984-85 and 2000 was almost 10% (excluding the GPNP colony, whose size has been oscillatinges around the carrying capacity, with net annual growth near 0). Average annual net growth increased from west to east due to the different population densities and was 9%, 10% and 15% for the western, central and eastern Alps respectively. The annual net growth rate between 1984-85-85 and 2000 is significantly correlated to the population density calculated over the area actually occupied by each colony (Fig. 3.7). In all MUs growth rates range between 10% and 18%, except for MUs "Alpi Marittime" (2%) and "Alpi Retiche – Ortles - Cevedale" (6%), where density is higher (1.6 and 1.5 ibex/100 ha respectively, see Table 3.6).

 

 

 

 

 

 

 

Table 3.5 – Ibex distribution and population size in the management units of the Italian Alps (1984-85). Density was estimated according to summer and winter potential ranges (km2) (see text). for further explanations). "Reintro" indicates the number of re-introduced colonies; "Den/distr" indicates the density calculated on omputed on the present distribution range.

No.

Management Unit

Total surface (km2)

Colony surface

No. of colonies

Reintro

Size

Summer density /100 ha

Winter density /100 ha

Den/distr /100 ha

1

Imperia

1218

0

0

0

0

2

Alpi Marittime

929

285

3

1

453

1.0

5.8

1.6

3

V. Maira – Orsiera

3166

282

4

2.5

54

0.0

0.2

0.2

4

V. Lanzo - G. Paradiso - M. Bianco

3594

1037

8

1.5

4422

2.2

8.9

4.3

4a

GPNP

707

551

1

0

4010

5.8

12.6

7.3

4b

Rest

2887

486

7

1.5

412

0.3

2.3

0.8

5

Sx Aosta – M. Rosa - V. Anzasca

3587

610

7

4

522

0.3

1.0

0.9

6

V. Formazza – V. Grande

1339

87

1

1

10

0.0

0.1

0.1

7

Alpi Lepontine

1292

42

1

0

40

0.2

0.4

1.0

8

Alpi Retiche – Bernina

1042

104

2

1

35

0.1

0.2

0.3

9

Alpi Orobie

3190

0

0

0

0

0.0

0.0

0.0

10

Adamello

2279

0

0

0

0

0.0

0.0

0.0

11

Brenta

2936

0

0

0

0

0.0

0.0

0.0

12

Alpi Retiche – Ortles - Cevedale

3255

341

6

2

528

0.3

1.3

1.5

13

V. Venosta – Brennero

2484

174

3

0.5

110

0.1

0.3

0.6

14

V. Pusteria

1547

58

2

0.5

8

0.0

0.0

0.1

15

Dolomiti

6104

111

3

3

84

0.0

0.1

0.8

16

Alpi Carniche - Alpi Giulie

4552

95

2

2

40

0.0

0.1

0.4

17

Asiago – Grappa

2876

0

0

0

0

WESTERN ALPS (1-6)

10745

2301

23

10

5461

0.9

3.5

2.4

WA without GPNP

10038

1749

22

10

1451

0.3

1.2

0.8

CENTRAL ALPS (7-13)

16478

660

12

4

713

0.1

0.4

1.1

EASTERN ALPS (14-17)

15078

264

7

6

132

0.0

0.1

0.5

TOTAL

42301

3225

42

19

6306

0.4

1.4

2.0

TOTAL without GPNP

41594

2674

41

19

2296

0.2

0.6

0.9

 

Figure 3.7 – The net growth rate estimated between 1984-85 and 2000 for each management unit is correlated with the population density (population size / distribution area of colonies).

 

Table 3.6 – Ibex population size in the management units of the Italian Alps (1984-85 and 1998-2000). Mean annual growth rate was calculated as the ratio between 2000 colony size and 1984-85 colony size.

No.

Management Unit

Total surface (km2)

Colony Size

1984-85

Colony Size

1998-2000

Mean annual growth rate

1

Imperia

1218

0

0

--

2

Alpi Marittime

929

453

606

0.02

3

V. Maira – Orsiera

3166

54

368

0.14

4

V. Lanzo - G. Paradiso – M. Bianco

3594

4422

6120

0.02

4a

GPNP

707

4010

4010

0.00

4b

Rest

2887

412

2110

0.12

5

Sx Aosta – M. Rosa - V. Anzasca

3587

522

2135

0.10

6

V. Formazza – V. Grande

1339

10

11107

0.17

7

Alpi Lepontine

1292

40

147

0.09

8

Alpi Retiche – Bernina

1042

35

150

0.10

9

Alpi Orobie

3190

0

490

--

10

Adamello

2279

0

129

--

11

Brenta

2936

0

40

--

12

Alpi Retiche – Ortles – Cevedale

3255

528

1344

0.06

13

V. Venosta – Brennero

2484

110

494

0.11

14

V. Pusteria

1547

8

86

0.17

15

Dolomiti

6104

84

556

0.13

16

Alpi Carniche - Alpi Giulie

4552

40

450

0.18

17

Asiago – Grappa

2876

0

0

--

WESTERN ALPS (1-6)

10745

5461

934036

0.04

WA without GPNP

10038

1451

533026

0.09

CENTRAL ALPS (7-13)

16478

713

2794

0.10

EASTERN ALPS (14-17)

15078

132

1092

0.15

TOTAL

42301

6306

132262

0.05

TOTAL without GPNP

41594

2296

92162

0.10

 

3.4 Status and evolution of population size

During historical times ibex populations ranged over the whole Alps up to the 13° east longitude (the line joining Carinthia and Salzburg).

Numerous sources confirm an the great historical iinterest in ibex throughout history. In the Middle Ages ibex were hunted as desirable game and their abundance waswere an important source of food for the people who inhabited the Alpine valleys. Therapeutic power was ascribed to various ibex body parts since the Roman Empire. This subsequently led to the establishment in 1654-1668, by Prince Bishop Guidobald von Thun, of an "Ibex Pharmacopoeia" in the episcopal royal pharmacy of Salzburg. Hunters were required to deliver all the parts of hunted ibex to the pharmacy. The rarer the ibex became, the more valuable the business, and the prospective good profit drove many to poaching. The great value of their attributed to hornsits trophy, the large amount of meat and the supposed thaumaturgic properties of different parts of their its body determined the overexploitation of ibex populations and drove them ibex almost to extinction.

In spite of various attempts at ibex protection, farming and translocation (first in Tyrol in 1538 and then near Salzburg at the end of the XVII century), ibex progressively disappeared from the Alps during the XVI, XVII and XVIII centuries. In Grisons (CH) tThe last ibex in Grisons (CH) were seen in 1650; they disappeared from the Bernese Alps between 1750 and 1800, and from Valais between 1800 and 1850. After centuries of active extermination, in the second half of the XIX century only one ibex population of 50-100 individuals survived on the Gran Paradiso Massif, western Italian Alps, due to the protection granted by the Savoia Royal Family.House.

HThe main reasons that drove ibex to the verge of extinction are hunting and the poaching of highly priced gamedrove ibex to the verge of extinction. Hunters took advantage of the ibex’ typical flight behaviour: in case of danger, instead of running long distances, ibex reach the nearest steep cliff, from the top of which they survey the surroundings. While this escape behaviour proves effective with natural enemies, it is rather ineffective with armed hunters. Thus, w, and with the onset and improvement of firearms, hunting became a serious threat to ibex conservation.

Only the Gran Paradiso population was spared the fate of extermination thanks to strict conservation measures. In 1821, when the future "mother colony" of all Alpine ibexes countedhad less than 100 individuals, the first protective measures were implementedput into place, followed in 1836 by the "Regie Patenti" that declared the ibex area a royal hunting preserve for King Vitctorio Emanuele II. In 1922, the last ibex refuge finally became the Gran Paradiso National Park.

The protection granted to ibex was the first step in for the conservation and restoration of the Alpine ibex population. Even though protection was granted for royal hunting purposes, it contributed to an increase in the size of the ibex population: in 1878, about 2000 ibexes lived in the hunting preserve, and they were about 4000 at the beginning of the XX century their number was about 4000. During the last century, with the exception of the minimum values reached during the two war periods, the abundance of GGran Paradiso population ranged between 3500 and 5000 individuals (Peracino & Bassano 1990).

The hunting limitation or prohibition and the creation of protected areas for ibex protection (Switzerland, 1920; France, 1963) facilitated the colonization of new areas and the increase of ibex populations size. In Switzerland, ibex hunting was prohibited in 1875, year of the first re-introduction programmes; here ibex is are currently strictly protected by federal legislation, and annual hunting quotas have been set since 1977 (Giacometti, in Shackleton 1997). In Liechtenstein, ibex they haves been protected since 1972. In France, they ibex wereas hunted between 1959 and 1976, when the Law on Nature Protection (10.7.76) introduced legal protection for the species (Roucher, in Shackleton 1997). In Germany, ibex they haves been fully protected since 1936, year of the first re-introduction. In Austria, ibex they is are legally hunted in few a small number of populations in the federal provinces of SStyria and Tyrol (Gossow & Zeiler, in Shackleton 1997). In Slovenia, selective hunting of ibex has been permitted since 1953.

In Italy, until 1969 ibex werecould be legally hunted until 1969 only in the Gran Paradiso National Park and in the Alpi Marittime Natural Park (formerly the Hunting Preserve of Valdieri-Entracque). The past hunting law (Legge 27 December 1977, n. 968) listed the species as It used to be listed as "par"particularly protected" species" according to, while the present law on hunting and wildlife conservation (Legge 157/92) lists it as the past hunting law (Legge 27 December 1977, n. 968), and is now considered "protected" species" according to . the present law on hunting and wildlife conservation (Legge 157/92). Since the coming into force of the regional regulations on taxidermic preparation and keeping possession of specimens (1977) there has been a moderate decrease in poaching and illegal trophy sale.

Ibex areis now listed as "lLower rRisk (1c)" species in the 1996 IUCN Red List of Threatened Animals (IUCN 1996) and is listed as "lLower rRisk" (least concern) in the Status Survey and Conservation Action Plan for the Caprinae (Shackleton & IUCN 1997). The species It is listed represented in Appendix III of the Bern Convention (ratified by the Italian government in August 1981) and in Appendix V of the EU Habitat Directive (animal and plant species of community interest whose taking in the wild and exploitation may be subject to management measures; Dir. 92/43/CEE). Appendix E of the Italian D.P.R. 8 September 1997, n. 357 (Regulation for the implementation of the directive 92/43/CEE for the conservation of natural and semi-natural habitat and wildlife and flora) lists ibex as a species whose exploitment in nature may need require strict management.

The second step in the conservation and restoration of the ibex populations was the numerous re-introduction programmes implemented in different portions of the Alps.

During the second half of the XIX century, the first attempts at re-introductions in Switzerland failed probably due to the poor performance of the hybrid ibexes individuals used: since pure-bred ibexindividuals were difficult to obtain from the GPNP (for release or breeding in enclosures), hybrids ofbetween domestic goats and captive ibex were produced and released into the wild. Although fertile, they gave birth too early (March-April) and were not well adapted to the harsh climate of the Alps (Uri Canton- CH, 1854; Welschtobel- CH, 1879; Ljubelj- SLO, 1898; Gressoney-I, end of XIX century).

In 1875, in its law on hunting and protection of wildlife, Switzerland prescribed the re-introduction of ibex in all suitable areas of the countryConfederation. In 1906, some pure-bred individuals ibexes were obtained from Gran Paradiso NP and established moved to in the Peter and Paul Game Park near St. Gallen (CH). Between 1906 and 1942, a basic breeding stock of at least 109 ibexesibex went from Gran Paradiso NP to Peter and Paul GP and (sincestarting in 1915) to Interlaken-Harder Game Park. They and their descendants are the ancestors of the extremely successful ibex populations now found in the Swiss Alps and in part of the Austrian Alps. From 1911 to 1938 the first mother colonies were founded with captive-bred individualsibexes. At the beginning theyibexes were released in ad hoc enclosures, sometimes with domestic goats. Between 12 and 51 individuals were released Withinwithin each re-introduction project., 12 to 51 individuals were released. The first colony was created in the area of the Graue Hoerner area, in the St. Gallen Alps (Giacometti 1991). In this period the largest and "historic" Swiss colonies were created: Augstmatthorn (1921-24), Piz Albris (1921-28) and Mont Pleureur (1928-29), as well as the colonies of Berchtensgaden (D, 1936-38), Bluhnbach (A, 1924) and Wildalpen (A, 1936). In the mean time (1921), the first Italian re-introduction was implemented in the former Royal Hunting Preserve of Valdieri Entracque. To obtain a viable population, 25 ibexesibex from the Gran Paradiso NP were released in six different stages over 13 years. After the second world war, translocations of captive-bred ibex continued in Austria: . Tthey started in 1951 in Tyrol (Plansee) and, continued in the other provinces until the 1970s in the other provinces, originatingand led to the creation of about 20 new colonies. S However, starting around 1950, most new re-introductions occurred with ibex from the original mother colonies, (especially Gran Paradiso, Mont Pleureur, Augsmathorn and Piz Albris). In the French Hautes High Alpes (Cerces Roche Colombe) a new colony was created in 1959-60 with ibexesibex coming from Mont Pleureur and the Dahlholzi Game Park (Bern), while in High Savoy 135 ibexesibex coming from Mont Pleureur were released in Upper Savoy from 1969 to 1976, all coming from Mont Pleureur. In the latter area there is evidence of natural recolonizsation from the adjacent Gran Paradiso in the period before the release.

Since 1911 ibex have been re-introduced in at least 175 different Alpine areas. Thus, while iIbex conservation has started with the implementation of "passive" protection measures, current abundance but the actual spread of populations was supported by severala great number of "active" translocation programmes aimed atfor the creatingon of new colonies.

In Italy, with the exception of the mother colony of the Gran Paradiso National Park and the historical population of the Alpi Marittime Natural Park, the status of Alpine ibex began improving in the 1960s. In that period the first translocations were undertaken mainly in Valle d’Aosta and in the Stelvio National Park. In the 1970s and especially the 1980s and 1990s, re-introduction programmes became more frequent as well asand natural colonization via immigration from Switzerland and Austria became more frequent (Peracino & Bassano 1986, Tosi et al. 1986; Table 3.7).

In recent years there have been newmore reintroductions of individuals coming from the Gran Paradiso NP and the Grisons Canton, based on feasibility studies and re-introduction plans that take into account environmental and demographic factors and, more recently, also genetic factors (Nascetti et al. 1990, Randi et al. 1990 and 1991, Stüwe et al. 1991, Tosi et al. 1991b). In the last 15 years, Italian ibex colonies have grown from 42 to 69, with 36 populations out of 69 (52%) originating from "man-made" translocations rather than (as opposed to natural recolonizsation) (Table 3.7). In Italy, the first translocation project took place in 1921 on the Argentera Massif (N° 1, Royal Hunting Preserve of Valdieri Entracque – Cuneo, MU "Alpi Marittime"), followed by 7 other ibex releases between 1949 and 1969: thus, 22% of the Italian translocation programmes took place before 1970, 78% (21) Seventy-eight percent (21) of the Italian translocation programmes started after 1970, and , and 58% (28.5) after 1980 alone.. In Italy, the first translocation project, as already mentioned, occurred in 1921 on the Argentera Massif (N° 1, Royal Hunting Preserve of Valdieri Entracque – Cuneo, MU "Alpi Marittime"), followed by 7 other ibex releases between 1949 and 1969, representing the remaining 22% which took place before 1970.

An uncertain number of ibexesibex coming from GPNP was released in Val Veny–Ferret (N° 26, Aosta, MU "V. Lanzo–Gran Paradiso–M. Bianco") in 1949, 1962-65 and 1975. There is evidence of natural immigration from Valais in the 1950s. In the Ayas Valley (N° 32, Aosta, MU "Sx Aosta–M. Rosa–V. Anzasca") some individuals were released iIn the 1960s, some individuals were released in Ayas Valley (N° 32, Aosta, MU "Sx Aosta–M. Rosa–V. Anzasca") and 36 individuals (ibexes coming from GPNP) were released again subsequently released in 1970-72. in that same area.

In the Gressoney Valley (N° 34, Aosta, MU "Sx Aosta–M. Rosa–V. Anzasca") the first translocations date back to the end of the XIX century; 16 more individuals coming from GPNP were then released in 1961-66 and there is evidence of a first attempt of colonization in 1963-67 in Valsesia (N° 36, Vercelli, MU "Sx Aosta–M. Rosa–V. Anzasca") in 1963-67. Here In Valsesia (N° 36, Vercelli, Mgmt Unit "Sx Aosta–M. Rosa–V. Anzasca") a more recent re-introduction programme brought 14 more ibexesibex from GPNP were released between 1974 and 1979.

In the Dolomites tThe first colony in the Dolomites was created in 1965 with 6 ibexesibex from the Grisons Canton. They were released near Sorapiss Mountain (N° 73, Belluno, MU "Dolomiti") from where some and part of them dispersed northwards to form a new colony (named N° 68 "Croda Rossa–Croda del Becco", N° 68, between Belluno and Bolzano). In 1975 four more individuals were taken there from Grisons. were translocated into the Dolomites.

 

In 1966, a translocation of 11 ibexesibex from GPNP were translocated into concerned the area of Macugnaga and Valle Anzasca (N° 37, Verbania, MU "Sx Aosta – M. Rosa – V. Anzasca"), at the same time as the beginning of the natural dispersion from Valais. In the 1967, the second Italian ibex colony on limestone settled in Stelvio National Park (N° 49, Sondrio, MU "Alpi Retiche – Ortles – Cevedale"). The first 17 individuals released in Stelvio National Park came from GPNP, and the other 12, released in 1968 in Val Zebrù, from GPNP and Grisons. From 1969 to 1978 an unknown number of ibexesibex was reintroduced in the Tournanche Valley (N° 31, Aosta, MU "Sx Aosta – M. Rosa – V. Anzasca").

 

Table 3.7 Date of origin of the ibex colonies created by natural dispersion or re-introduction projects.

Period

Autochthonous

colonies

New re-introduced

cColonies

New colonies created by natural dispersion

Number of colonies present at the end of the period

1900-1949

2

1

1

4

1950-1969

--

7

5

16

1970-1979

--

7.5

11.5

35

1980-1989

--

8.5

4.5

45

1990-1995

--

7

7

59

1996-2000

--

5.5

4.5

69

 

Thirty-six ibex reintroduction operations have taken place in the Italian Alps overall; their frequency has increased gradually in the last 30 years. From the information available it is estimated that at least 755 ibex have been translocated since 1921, at an increasing rate: 12% of individuals was released between 1921 and 1969, 18% in the 1970s, 31% in the 1980s and 40% in 1990s (Table 3.8). The average number of individuals used in each reintroduction ranges between 23.0 and 12.1. LThe lowest figures value are recorded refers toin 1996-2000, when cases of Brucellosis were found in the GPNP population.

 

Table 3.8 – History of ibex re-introduction in the Italian Alps.

Period

New re-introduced

colonies

Minimum known number of translocated ibex translocated

Mean number of ibex released in each area of re-introduction area

1900-1949

1

23

23.0

1950-1969

7

66

15.7

1970-1979

7.5

127

16.3

1980-1989

8.5

237

24.1

1990-1995

7

184

19.7

1996-2000

5.5

118

12.1

Total

36.5

755

 

 

The evolution of Tthhe number of ibex colonies with time shows a pattern of linear growth starting in the 1960s. At the end of the 1950s, 8 colonies existed distributed only inon the central-western Alps only (Fig. 3.8). During the following 4 decades, the number of colonies present onin the Italian Alps has progressively increased to 23 (1970), 33 (1980), 52 (1990) and 69 (2000). In the 1960-2000 period, between 10 and 19 new colonies formed during each decade.

 

Figure 3.8 – EHistorical evolution of Alpine ibex colonies in the Italian Alps. Autochthonous colonies are shown in green; darker red indicates older colonies, lighter red younger ones; the red lines outline ibex management units.

 

A remarkable increase in population size is reported for the last 20 years. An overall population of 4400 ibexesibex is estimated for the period 1975-77; 5100-5300 ibex are estimated for 1983-85, 7000 in 1990, and 9700 in 1995. This paper - although lacking missing some updated values - estimates the population of 2000 at more than 13000 ibex, distributed in a fragmented pattern all over the Italian Alps. From 1975 until present, the mean annual net growth rate is about 4.6%, but this rises to 6% considering the 1988-2000 period only (Table 3.9).

 

Table 3.9 Estimates of the mean annual net growth rate of the ibex population in the Italian Alps from 1976 to present; estimates from 1975 to 1995 by Tosi & Perco, 1981, Tosi et al., 1986 and Pedrotti, 1995.

Period

Estimated population size

Mean annual growth

1975-77

4,.400

---

1983-85

5,.100

2%

1988-89

7,.000

6%

1995

9,.700

6%

2000

13,.000

6%

 

 

 

 

 

 

 

3.5 Hunting and numerical control

According to the national law on hunting and the conservation of wildlife (L. 157/92), at present in Italy Alpine ibex is not listed as a game species. This piece of legislation partly modifies and softens the restrictions placed on ibex by the earlier national hunting law (L. 968/77), where the species was listed as "particularly protected". This "delisting", however, is probably due to the constant improvement of the ibex status in the last 30 years. Any illegal hunting is punished with a 3-12 month arrest and a fine of 1000-6000 Euro. Indirect conservation regulations derive also from law n. 394/91 on protected areas, which establishes new national and natural parks where hunting is forbidden or restricted.

Although Alpine ibex is protected at national scale, the Province of Bolzano has implemented a harvest plan since 1991 (Fig. 3.9). Although in the provincial law ibex is not listed as a game species, the numerical control of its populations is allowed on the basis of the experience of Switzerland and Austria (Table 3.10).

 

 

Table 3.10– Distribution and size of annual Alpine ibex harvest in 1999-2000.

REGION

HARVEST

Piemonte

Protected

Valle d’Aosta

Protected

Lombardia

Protected

Province of Trento

Protected*

Province of Bolzano

50 individuals annually harvested

Veneto

Protected

Friuli – Venezia Giulia

Protected

TOTALE

50 individuals

*Only two adult males culled in 1998-99 (see text). for further details).

Figure 3.9 – Distribution of harvest of Alpine ibex harvest. Provinces where selective culling is performed are in red, provinces where Alpine ibex is completely protected in grey.

 

According to art. 6 of its local hunting law (L.P. 17 July 1987 n. 14, updates through L.P. 28 November 1996, n. 23) the Province of Bolzano, which enjoys autonomous statute, began to adopt ibex culling plans (numerical control plans) to "prevent the overgrowth of the ibex population from negatively affecting the natural balance and the abundance of other wildlife species". Furthermore, the fourth paragraph of the same article states that "the councillor responsible for the province may allow an ibex culling plan, limited to adult or weak individuals, in the hunting reserves where a satisfactory ibex abundance is proven". Under the current wildlife management system, the main goal is to keep the sizeabundance of ibex colonies stable and avoid negative interactions with chamois, the most important game species in the area. Considering the recent and still ongoing colonization process of ibex and its high harvest rate, in no colony is the ibex population at carrying capacity level and there are still wide opportunities for the population to expand over other suitable habitat in the area (Carmignola & Krause 2000).

In 1985 the first ibex (a 18-year-old female) was harvested in Val Senales (MU "Val Venosta–Brennero"). In the following years harvest was limited to single old individuals. Since 1991 the larger colonies have been subjected to regular harvest plans: from 1985 to 1999, 350 ibexesibex were culled (193 males and 157 females). In the last three years the mean harvest plan amounted to about 45-50 individuals, equally divided among the sexes. Such mean harvest rate represented 8% of the population size and seems to have counter-balanced populations growth (Fig. 3.10).

 

 

 

Figure 3.10 – Ibex harvest plan in the province of Bolzano in relation to population size.

 

 

 

 

Annual ibex population censuses are undertaken every year in April-May through block count, and a harvest plan is subsequently developed for each colony subjected to culling. Hunting quotas are assigned randomly to the members of the hunting community reserves. When hunting for ibex, hunters must be accompanied by a gamekeeper.

The management strategy currently in place plans to harvest 2/3 of the net recruitment rate for each of the three main colonies ("Palla Bianca–Weisskugel", "Tessa–Senales" and "Tribulaun"). In the last years this led to the stabilization of the three populations.

Whereas the female quota is equally subdivided among the different age classes, for males the harvest plans are addressed especially to mature individuals, lowering the mean age of the male population. From 1985 to 1998, 69% of the harvested males were more than 5 years old and the 1-5-year-old males represented only 31% of the total harvest. Unlike males, the female age structure is much more similar to that of a natural (i.e., unexploited) population (Fig. 3.11).

The effects of the overexploitation of adult males are seen in the census data of the last three years (1997-1999): 74% of counted males are 1-5 years old, 23% are 6-10 years old and only 3% are more than 10 years old. Fig. 3.12 shows the decrease in the mean age of the males counted from 1988 to 1997.

Adults have an important role in the social structure and population balance, especially during the rutting season; unbalanced sex and age ratio may lead to higher mortality rates and lower net growth rates. The impactsoutcome of the hunting activity in South Tyrol is are partly due to present legislative restrictions and partly to hunting practices strictly based on trophy valuation. On this account, a new corrective measure has been introduced since 1999, excluding 4-7 year-old males from the harvest plans.

Figure 3.11 – Age distribution of the ibex harvested in the Province of Bolzano since 1988.

Figure 3.12 – Male age structure in the ibex populations of the Bolzano province (spring census).

 

In 1999, the Province of Trento, based on a legal framework similar to that of the province of Bolzano (art. 31 of provincial law n. 24/91), implemented the first culling of two adult male ibexesibex in the Monzoni–Marmolada colony (MU "Dolomiti"). The Wildlife and Hunting Service suspended the culling programme shortly thereafter because of the pressure from a long debate with the local environmental associations.

 

 

4. ASSESSING POTENTIAL DISTRIBUTION OF ALPINE IBEX IN THE ITALIAN ALPS

This chapter describes the two GIS-based models used to assess and map the quality of ibex winter habitat (including how they were redesigned) and the results of their integrated application to the entire Italian Alps. The results allow for a comparison between real and potential ibex distribution and density, and an estimate of available habitat, therefore providing a management tool for actual ibex distribution.

The models were developed based on sample colonies in two study areas of the Italian Alps, one on siliceous and one on limestone substratum. It is important to underline that each model was developed on a particular geologic substratum, and thus its predictive ability is limited to that specific substratum. The two models already available had therefore to be redesigned and the equations recreated to make them more generally applicable to the entire Italian Alps, thus rendering them less detailed but at the same time better able to make predictions for the areas for which data wereas only available at a coarser scale.

 

 

 

4.1. Review of similar studies

Many authors dealt with the prediction of suitable ibex wintering areas. Some of them, using an holistic approach, based their work on empirical evidence or literature review and produced habitat suitability models based on a subjective synthesis of the analysed data, not adequately supported by statistical validation (Von Elsner-Schack 1983, Apollonio & Grimod 1984, Tosi et al. 1986, Choisy 1994, Peracino & Bassano 1994). Others started promising analyses to assess ibex habitat quality using statistical techniques or Landsat imagery (Wiersema 1983b, Wiersema & Schröder 1985, Wiersema & Zonneveld 1990).

In recent years, the widespread diffusion of geographic information systems and the increasing availability of digital cartography have made it possible and easy to develop GIS-based predictive models supported by a sound (rigorous) statistical approach.

 

4.2 Methodology

4.2.1 Study area and management units

The area interested by this GIS study is similar to that of the Ungulate Database (see parr. 2.1 and 3.1): it covers the whole Italian Alps, from the Friuli–Venezia Giulia region in the east to the Liguria region in the west. While the national Italian border defines a clear northern limit of the study area, the southern limit was set approximately along the 1000m contour line (Fig. 4.1), given that ibex presence will not be recorded below this limit, at least in Italy. The resulting study area extends over 45,389 km2 and includes 23 provinces belonging to 7 different regions. While the minimum altitude is around 300m (on the southern border), the maximum altitude is around 4700m. The entire study area is characterized by rough mountain ranges; the few areas located below 1000m and in deep valleys were later excluded by the model extrapolation.

To describe the potential ibex distribution and compare it to the present status, 17 management units (MUs) were defined as explained in par. 3.1 and shown in Fig. 4.2 (which is similar to Fig. 3.2, but simplified). Table 4.1 lists the MUs (similar to Table 3.1 but with new information on the area above 2000m).

 

Figure 4.1 – The study area for the ibex distribution model in the Italian Alps. The thin lines indicate the regions’ borders.

 

 

To describe the potential ibex distribution and compare it to the present status, 17 management units (MUs) were defined as explained in par. 3.1 and shown in Fig. 4.2 (which is similar to Fig. 3.2, but simplified). Table 4.1 lists the MUs (similar to Table 3.1 but with new information on the area above 2000m).

Figure 4.2 – Map of the 17 ibex management units defined within the Italian Alps.

Table 4.1 – The identification number, name, extent and percentage of area located above 2000m for the 17 ibex management units in the Italian Alps.

ID

NAME

AREA (km2)(km2)

% of area above 2000m

1

Imperia

1218

5.3

2

Alpi Marittime

929

35.3

3

V. Maira - Orsiera

3166

32.0

4

V. Lanzo - G. Paradiso - M. Bianco

3594

47.6

5

Sx Aosta - M. Rosa - V. Anzasca

3587

35.9

6

V. Formazza - V. Grande

1339

21.9

7

Alpi Lepontine

1292

14.5

8

Bernina

1041

39.8

9

Alpi Orobie

3190

11.8

10

Adamello

2279

27.0

11

Brenta

2936

4.8

12

Alpi Retiche - Ortles - Cevedale

3255

54.4

13

V. Venosta - Brennero

2484

41.0

14

V. Pusteria

1547

44.3

15

Dolomiti

6104

19.9

16

Alpi Carniche - Alpi Giulie

4552

17.4

17

Asiago - Grappa

2876

0.8

Total extent

45389

 

A geological map of the Alps was used to distinguish areas mostly interested by limestone from areas with siliceous rocks (Fig. 4.3). As described below, habitat characteristics are so strongly affected by this basic distinction, that separate model functions were extrapolated and applied according to the rock type of the MU. The two different functions of the potential distribution model were developed in two different areas characterized by a stable presence of ibex population: the siliceous rock model was prepared in the northern part of the Venosta valley (Bolzano), the limestone model in the Dolomites (Trento and Belluno provinces).

 

Figure 4.3 – Simplified geological map of the Italian Alps. The grey area is characterised by siliceous environment, the dashed area is mainly limestone.

 

4.2.2 Ibex ecology

The Alpine ibex are widely distributed over Alpine alpine mountain ranges and, like all species of genus Capra, it is well adapted to steep rocky areas poor in vegetation (Nievergelt & Zingg 1986). Alpine ibex have adapted to harsh high altitude environment through behavioural and physiological specializations that include seasonal patterns of habitat use (Francisci et al. 1985,; Hofmann 1971). They inhabit rocky mountainous regions at altitudes between 1000 and 3500 m, with winter range generally between 1600 and 2800 m., and summer range from 2300 to 3200 m (Wiersema 1984). The lowest altitudes are reached during spring, when in many cases the species stays below tree linethe tree line mostly in steep, rocky and open areas. Seasonal and daily altitude migrations are influenced mostly by temperature, food availability and the need for refuge areas (Hofmann 1971).

IbexesIbex show a sharp preference for the grassland of xeric and steep slopes (Festucetum variae, Pedrotti 1995), very strong in winter, less in summer when also other vegetation types of rocky areas above tree linethe tree line are selected (Caricetum-curvulae and Seslerietum-semperviretum, Adrosacion, Thlaspion; Wiersema 1983a).

Due to the very severe winter conditions typical of the Alpine region, the ibex winter range is probably the most critical aspect for survival and is limited to small vegetation patches and strips on more or less snow-free, south-facing, steep slopes (over 45-50°) (Tosi et al. 1986,; Wiersema 1983a). In particular, a rugged and , rock-interspersed relief, as well as and slopes with a high degree of small-scale complexity are required (Tosi et al. 1986). On the contrary, summer habitat requirementsneeds (i.e., large continuous mountain areas above tree linethe tree line or above 2000 m) are easier to fulfil in the Alpine area (Choisy 1990).

Ibex show the most distinct and defined habitat needs among ungulates (Gauthier et al. 1991). This explains the ibex’ limited occurrence relatively to other species (e.g., chamois), and but is also a favourable condition for applying habitat modelmodellingization on a GIS basis.

 

4.2.3 The database and the GIS

The study was conducted on a GIS basis with the support of a statistical package for the model definition. The programmes used are Arc/Info 7.1 and ArcVview GIS 3.1 for the GIS aspects, and SPSS 8 for the statistical evaluations.

It is important to underline that each of the two pre-existing models was developed on a particular geologic substratum, and thus its predictive ability is thus limited to that specific substratum. Ridge complexity (land surface ruggedness, Divine et al. 2000) accounts for the higher effect on determining the p-values of the expected predictions. The implemented algorithm used to estimate ridge complexity is strictly dependent on the shape of the contour lines and on the base scale of acquisition. Areas characterised by different geological features (i.e., metamorphic and igneous rocks vs. limestone or dolomites) result in the markedly different development of elevation contour lines at the same map scale.

The maps, gathered from different sources, had various projection parameters; to make them comparable and overlay them, all layers where projected in UTM (Universal Transverse Mercatore) zone 32.

All data handled were georeferenced on maps to allow for a spatially-explicit elaboration and description of the phenomena investigated, and consequently permit the complete mapping of the resulting model on the entire study area of the Italian Alps.

The data can be divided into two categories: 1) distribution of ibex areas, particularly the wintering areas (these data represent the dependent variable in the subsequent analyses), and 2) several layers of different thematic maps for all environmental variables that seem to influence ibex distribution (these data represent the independent variables).

The exact wintering areas were investigated by direct observation during censuses and repeated field trips. The areas identified within the three-year period were reported on a 1:10.000 scale map and used for both for the implementation and the validation of the model. In the text below the areas within inside wintering areas are indicated as "ibex areas", while all areas outside of the wintering areas are indicated as "non ibex areas".

The data obtained from three basic maps describing environmental variables were used as independent variables:

  1. a geological map of the Alps (1:250.000), which was simplified to the only two categories of siliceous and limestone substrata. This map was used only in vector format (Fig. 4.3);
  2. a Corine map of the Corine land use, derived from Landsat data at a scale of approximately 1:100.000. The maps, separately produced by the 7 different Italian Alpine regions, were combined into a single map that was used in raster format. The reclassification of the Corine land use map originated 12 individual maps each representing one of the main land use categories occurring in mountain areas (Fig. 4.4);
  3. the digital terrain model, which provides information on altitude, slope, aspect and ridge complexity. This (in raster format) was created combining the digital terrain model of different regions and provinces. F; for the Liguria, Valle d’Aosta and Friuli Venezia Giulia regions the model was based on made referring to a national model oin a coarser scale. The scales of the different digital terrain models range from 10 to 50m pixel, and for the national model the pixel is 250m. Aspect was reclassified into 6 classes: north (including north-east and north-west), east, south-east, south, south-west and west. Ridge complexity was defined as the mean slope in the surrounding 25 hectares (Land Surface Ruggedness, Divine et al. 2000; Fig. 4.5).

 

Figure 4.4 – Sample of the land use map derived from the Corine land use map (Dolomites area). Some land use categories are originated from aggregation of the original categories.

Figure 4.5 – Examples, referred to a portion of the Dolomites, of the maps produced from the digital terrain model (upper left); different colours indicate different aspect (upper right); the increasing slope is represented by a darker shadedegree of red (lower left); the ridge complexity, defined as the mean slope in the surrounding 25 ha, ranges from 1 = white to 3 = dark green (lower right).

 

Table 4.2 shows a complete list of the independent variables. For each of them a raster map of the Italian Alps was produced for the subsequent modellingization process. All rastersraster were produced with the same origin, the same extent and the same cell size (20m). Thus, further elaboration became a simple algebraic operation on the cell values.

 

Table 4.2 - The complete list of independent variables.

Altitude

Metres above sea level (a.s.l.)

Slope

Degrees

Ridge complexity

Land surface ruggedness (mean slope in the surrounding 25 ha)

Aspect Aspect

For each 20X20m pixel, the mean value in the surrounding 25 ha

N

% of surface facing from north-west to north-east

E

% of surface facing east

SE

% of surface facing south-east

S

% of surface facing south

SW

% of surface facing south-west

W

% of surface facing west

Land use

For each 20X20 m pixel, the mean value in the surrounding 25 ha

Urban

% of urban surface

Agriculture

% of land used for agriculture

Meadows

% of surface withused as meadows

Broadleaf forest

% of surface with broadleaf forest

Mixed forest

% of surface with mixed forest

Coniferous forest

% of surface with coniferous forest

Transitional woodland scrub

% of surface with transitional woodland scrub

Subalpine shrubs

% of surface with shrubs

Alpine pastures

% of surface with pastures

Alpine vegetation

% of surface with fragmented alpine vegetation and boulder fields

Rocks

% of rock surface

Glaciers

% of surface with glaciers

 

      1. Data analysis

The 21 environmental variables give precise and local information on the habitat characteristics for each point: this means that the maps of each variable describe the real habitat in a 20X20m cell, but each cell contains no information on the surrounding area. As there is no doubt that ibexesibex, like all large animals, are aware of the surrounding habitat characteristics within a certain radius (much larger than 20 m), and since this "awareness" should be taken into account, the mean value of each cell in a 280m radius (about 25 ha) was calculated for each variable. The maps were produced by were obtained moving a mobile circular window with a radius of 14 cells overon the original maps a mobile circular window with a radius of 14 cells, and for each position the mean value of all surrounding cells was assigned to the central cell.

The model was created on the basis of a logistic regression performed on the habitat characteristics inside and outside the ibex wintering areas, and two different models where produced for the siliceous and limestone environment. The same procedure was followed in the two areas identified for the case studies (Venosta Valley and Dolomites).

The model implementation, and therefore also the model application, were limited to the areas above 1100m, since no ibex was ever recorded wintering below this altitude. Limiting the area of application of the model is important because the inclusion of larger areas will automatically extendspread the values of the environmental variables to "non ibex areas", and consequently the resulting model will be less precise in determining the areas suitable to ibex wintering.

The classification is sensitive to the relative size of the two groups ("ibex" and "non ibex" areas) and will always favour the classification into the larger group (Hosmer and Lemeshow 1992). As the best possible classification of the predictive model was the stated goal of our analysis, it was decided to extract equal samples from "ibex" and "non ibex" areas (see text below).

To compare ibex winter preference with the available habitat by logistic regression, a random set of 1000 points was collected both within inside the "ibex areas" and inside the "non ibex areas". The locations of these random points were used to collect a sample of habitat characteristics within inside and outside of the ibex winter distribution. The database derived by overlaying the random points onto the maps of environmental variables is the basis for all the statistical elaborations which lead to the model implementation.

Each random point of the "ibex areas" and of the "non ibex areas" was spatially tied with the previously-described environmental variables. To explore the collected variables for the multivariate analysis, each independent variable was assessed by univariate statistics (ANOVA) and fitted with the univariate logistic regression model to asses its contribution and importance. Biologically or statistically insignificant variables were excluded from the model analysis. Any variable whose univariate test had a p-value < 0.25 was considered for the multivariate model along with all variables of known biologic importance.

The habitat and morphological variables characterizing "ibex" and "non ibex" areas were used to implement the predictive model through a stepwise logistic regression (SLR). The dichotomic regression (ibex presence/absence as dependent variable) was performed for the two models on the 2,000 randomly-extracted points. A forward stepwise method was used based on likelihood ratio test with a pentry = 0.1 and a preject = 0.25, according to the aim of the analysis which was to obtain a model containing more variables in order to provide a more complete picture of possible models (Hosmer & Lemeshow 1992). For continuous scaled variables, the assumption of linearity in the logit was checked and the contribution of each interaction among variables to the developed model was assessed.

The fit of the model was assessed through a re-classification table with a probability cut point p = 0.5, which is reported to be the most appropriate method when classification is the stated goal of the analysis (Hosmer and Lemeshow 1992). Furthermore, each model was validated on an independent data set, the model application on the validation areas was compared to the real distribution of ibex wintering areas, and the percentage of the wintering areas given as suitable to ibexesibex by the model was measured.

Finally the two models were applied to the entire Italian Alps; during this last step, the limestone or the siliceous environment model were used based on the information in the geological map. The resulting model will be useful to compare actual and potential ibex distribution and to provide management options in planning future ibex distribution.

 

    1. The predictive model for siliceous environment
      1. Case study
      2. The study site in which the model for the siliceous environment was implemented is located in the north-western part of the Province of Bolzano. It covers about 1368 km2 and is limited north by the national boundary along a mountain ridge from the Resia to the Brenner Passes, and on the other sides by valley bottoms (the Venosta, Passiria, Giovo and Isarco valleys) (Fig. 4.6). Within the study area it is possible to define three different MUs, corresponding to mountain ranges inhabited by partially-separate ibex populations (Fig. 4.7): the "Palla Bianca" MU is located in the western part of the study area and its population amounts to about 170 ibexesibex; the "Tessa" MU is located in the central part with about 160 ibexesibex and the "Tribulaun" MU, in the eastern part, accounts for about 170 ibexesibex. The three populations originated in the 1960s and 1970s due to natural colonization from Austria.

        Figure 4.6 – Geographic location of the study site for the siliceous environment case study, located in a very high mountain range within the Bolzano province.

        The area is characterized by rough and steep mountains with a mean altitude of 3100m and mountain tops ranging from 3000-3700m. Below a large area mostly covered by glaciers and rock cliffs (respectively 6% and 30% of the entire area), vegetation includes alpine grassland (29%), coniferous forest (24%) and meadows (6%). The vegetation class "alpine grassland" includes extensive alpine pastures and natural alpine grassland (Caricetum curvulae and Elynetum) as well as sparse vegetation such as Androsacion alpinae and Thlaspeion located in cirques and steep slopes. The land cover class "rock cliffs" includes very sparse vegetation in boulder fields, rocky slopes and moraines (generally formed by Androsacion valdelii) and bare rock. The lower slopes are mostly forested: mixed mountain forest (spruce and larch) and pure spruce (Picea excelsa) forest. Broadleaf forest (generally mixed beech woods, Fagus sylvatica) are poorly represented. The tree line is located at 1800-2100 m. Higher up are open sub-alpine larch forest and patches of sub-alpine shrubs as alder (Alnus viridis), rhododendron (Rhododendrum sp.), juniper (Juniperus nana), blueberry (Vaccinium sp.) and knee-pine (Pinus mugo) in the small scraps of calcareous rocks.

        Geologically, the main mountain massifs consist mainly of metamorphic rocks.

        The region is characterised by low precipitation (average annual precipitation varies from 442 to 1146 mm; Fliri 1975).

        Figure 4.7 – Map of the study site for the siliceous environment case study. From left to right the thin green line separates the Palla Bianca area, the Tessa area and the Tribulaun area. The red areas indicate the wintering areas actually occupied by ibexesibex.

         

      3. Model implementation

Three different ibex colonies were identified in the study: 1) "Palla bianca" in the western part, 2) "Tessa group" in the central part, and 3) "Tribulaun" in the eastern part. Wintering areas of the first and third colony were used to produce the predictive model, while the wintering areas of "Tessa group" were used for validating the model. The wintering areas included in the first and third one extend over 34.6 km2. The wintering areas include only the area with stable presence of ibexesibex, while occasional trips outside were not reported on the map. Wintering areas polygons were defined as "ibex areas", while the remaining parts of the study area were defined as "non ibex areas".

A preliminary univariate habitat characterization of ibex wintering areas confirms the results reported for other Alpine areas (Gauthier et al. 1991, Nievergelt 1966, Wiersema 1983a, Tosi et al. 1986): in the study area, ibex selected habitat between 2100 and 2900m, rich in alpine vegetation and rock cliffs (Fig. 4.8); no ibex was ever seen below 1500m, nor over 2900m (in winter). They chose slopes between 40° and 60°, mainly facing south-east to south-west, and they preferred areas with considerable ridge complexity (> 1.4) and a high degree of fragmentation between alpine grassland and rocks. The positive selection of heterogeneous and fragmented areas is due to the small-scale availability of the different habitats essential to ibex, namely, pastures, resting sites, escape terrain (Tosi et al. 1986, Pedrotti et al. 2000).

 

 

Figure 4.8 – Environmental characterization of the siliceous study area. Grey bars represent the proportion (%) of ibex wintering areas; white bars represent the composition of the areas not used during winter. The preferred values are those where the grey bar is higher than the white one.

 

The dependence of ibex presence on environmental factors was tested with univariate statistics (ANOVA). All variables - except south-east aspect, urban areas and agriculture - resulted significantly different between "ibex areas" and "non ibex areas". Glaciers were discarded from the analysis because their contribution in fitting the univariate logistic regression was not significant, and the three different forest types were pooled together to better fit the logistic regression. Altogether, 6 out of 21 variables were discarded before performing the multivariate analysis.

The linear relationship of the logit of all continuous variables with the dependent variable was tested (p<0.05). The quadratic terms of altitude, slope, bushes, rocks and alpine vegetation were introduced to take into account the non-linear relationship with the logit. The eight following interactions significantly contributed to the model (likelihood ratio test) and were selected for the stepwise logistic regression: bushes*rocks, growing trees*alpine vegetation, pasture*alpine vegetation, N*SW, N*E, S*E, S*W, SE*SW.

Overall, 28 variables and their interactions were tested in the stepwise logistic regression, after which the final model selected 14 explanatory variables, 3 quadratic terms and 6 interactions (Table 4.3). Five covariates were automatically discarded by the software (growing trees, bushes2, rocks2, bushes*rocks, growing trees*alpine vegetation). The univariate logistic regression showed that ibex presence is significantly and positively correlated with ridge complexity, slope, southern to western aspect, rock cliffs, alpine vegetation, pastures and bushes, and negatively correlated with forest, northern and eastern aspect. Obviously, in the stepwise logistic regression the degree of correlation between ibex presence and covariates may be different due to the interactions among variables.

 

Table 4.3 – Results of the predictive model of winter ibex distribution in siliceous environment. The variables included in the model contribute positively (R>0) or negatively (R<0). "B" represents the coefficient of regression, "SE" its standard error, "y " the contribution of each variable to the final suitability (see text for further details), "∆" the rating, "p" the level of significance and "R" the univariate correlation coefficient (Spearman).

Variables

B

SE(b)

y

p

R

Constant

2.323

1.98

   

0.242

 

Bushes

0.053

0.01

1.70

10

0.000

0.111

Forest

0.035

0.01

1.41

10

0.000

-0.369

Pastures

0.062

0.00

1.86

10

0.000

0.199

Rocks

0.021

0.01

1.24

10

0.000

0.140

Alpine vegetation.

0.167

0.01

5.32

10

0.000

0.321

Altitude

-0.011

0.00

0.35

100

0.000

0.276

Slope

-0.089

0.03

0.91

1

0.001

0.400

East

-0.177

0.02

0.17

10

0.000

-0.204

South

-0.113

0.02

0.32

10

0.000

0.340

SE

-0.149

0.02

0.22

10

0.000

0.065

SW

-0.149

0.02

0.23

10

0.000

0.385

West

-0.128

0.02

0.28

10

0.000

0.210

North

-0.1416

0.02

0.24

10

0.000

-0.263

Ridge complexity.

13.521

1.17

3.87

0.1

0.000

0.599

Elev2

2.7E-06

0.00

1.00

100

0.000

 

Slope2

0.002

0.01

1.00

5

0.001

 

Alpine veg.2

-0.001

0.00

0.99

10

0.000

 

E * N

-0.002

0.00

   

0.005

 

N * SW

0.002

0.00

   

0.000

 

E * S

0.003

0.00

   

0.000

 

S * W

0.003

0.00

   

0.000

 

SE * SW

0.001

0.00

   

0.008

 

Meadows * Alp. Veg.

-0.001

0.00

   

0.000

 

 

- 2 log likelihood constant

2772.6

- 2 log likelihood model

1263.4

Hosmer & Lemeshow goodness of fit

21.8 8 df p<0.05

Nagelkerke R2

0.706

 

The logistic regression equation provides a p-value, ranging from 0 to 1, that represents the probability of each geographic unit to be classified as suitable habitat for ibex. The odds ratios (y ) reported in Table 4.3 define the weight of each variable in increasing the probability to be a suitable habitat: the odd ratios are obtained by the formula exp(B * ∆), meaning that an increase of 10% (∆) in the amount of alpine vegetation (B = 0.167) gives a 5.32 (y ) times greater probability to be a suitable area. Ridge complexity, alpine vegetation, pasture and different aspects resulted the most important covariates for determining the p-values estimates.

To assess the fit between the model and the data set, the expected values of the 2,000 extracted points were estimated and a classification table was obtained (Table 4.4). The overall rate of correct classification was 87%, with 89% of the "ibex areas" and 85% of the "non ibex areas" resulting correctly classified.

 

Table 4.4 - Classification table based on the stepwise logistic regression model for ibex potential wintering areas. "0" indicates the "non ibex areas", "1" indicates the "ibex areas", cut point c = 0.5; n = 2,000.

 

Predicted

 

Observed

0

1

Percent correct

0

849

151

84.9%

1

109

891

89.1%

   

Overall

87.0%

 

The stepwise logistic regression provides a coefficient (B) for each included variable and a constant. The p value for the ibex suitability will be obtained from the formula

P = 1 / (1 + exp(-1 * (constant + B1 * var1 + B2 * var2 + ….))).

This formula was applied to the whole study area above 1100m; afterwards the suitable areas smaller than 1 ha were discarded to give a biological sense to these areas given that no wintering area smaller than 2 ha was recorded (Fig. 4.9). In the study area, extending over about 1400 km2, the potential ibex wintering areas cover 270 km2. In particular, there are 11372 ha with lower probability (50% < p < 75%) to be suitable ibex wintering areas, and 15616 ha with high probability (50% < p < 75%). A simple comparison with current ibex distribution in the same area (3460 ha) indicates that there is still potential for the current colonies to increase their population size, and that only 13% of the suitable territories have already been colonised.

 

Figure 4.9 – Map of model predictions (green) and real ibex wintering areas (red) in the case study areas of Palla Bianca (left) and of Tribulaun (right). Light green indicates p > 50% and < 75%, dark green indicates p > 75%.

 

4.4 The predictive model for limestone environment

4.4.1 Case study

The study site in which the model for the limestone environment was implemented is located in the core of the Dolomites and is almost completely included in the Belluno province (Fig. 4.10). The area extends over about 135 km2; the main mountains included are Marmolada (3343m), Cima di Valfredda (3009), Cima dell’Auta (2623m), Sasso Bianco (2407m) and Sass di Roi (2369m). The eastern and southern boundaries are represented by deep valleys (the Falcade and Cordevole valleys), while the western and northern boundaries follow less evident valleys.

The area is characterized by dolomite, the limestone typical of this area.

The highest mountain of the Dolomites (Mt. Marmolada) is included in the area and in general the environment is characterized by steep mountains with a very high ridge complexity. The mean altitude is around 1800m; about 33% of the land base is located below 1500 m, 34% ranges from 1500 to 2000m, 23% ranges from 2000 to 2500m and only about 10% is situated above 2500m. A glacier is present in the highest area, covering less than 2% of the total area. The land use is mostly characterized by coniferous forest (40%), growing trees (15%), rock cliffs (13%), alpine vegetation (8%), bushes (2%), pastures (10%), while agriculture and settlements cover only 8%. The "alpine vegetation" class includes mainly sparse vegetation located in boulder fields, rocky slopes and moraines, and the "rock cliffs" class includes bare rocks (Seslerietum-semperviretum, Caricetum firmae, Thlaspietum rotundifolii, Potentilletum nitidae); broadleaf forests are poorly represented.

 

Figure 4.10 - Geographic position of the study site for the limestone environment case study, located in the core of the Dolomites range, mostly in the Belluno province.

The area is inhabited by about 370 ibexesibex belonging to the Monzoni-Marmolada colony, which originated in 1978 through the re-introduction of 10 individuals in the S. Niccolò valley. The wintering areas of this colony extend over about 11.,5 km2 (Fig. 4.11).

Figure 4.11 – The study area used to develop the model for the limestone environment. In green, the wintering areas of the Marmolada-Monzoni ibex colony; in red, the boundaries of the study area; in blue, urban areas and roads.

 

Like the study area for the siliceous environment, here also the habitat selection does not differ from that reported in other studies (Wiersema 1983a, Tosi et al. 1986). Wintering areas are included between 1900 and 2500m, with alpine pastures, sparse vegetation, boulder fields, rock cliffs and limited forest occurrence. Stable wintering areas have never been observed below 1500 or above 2600m. The slope is always very high, mainly between 40° and 60°; the preferred aspect ranges from south to south-east, and - as expected - the ridge complexity in the wintering areas is higher than outside, even if the whole area is interested by is characterized by an overall high ridge complexity (Fig 4.12).

 

 

Figure 4.12 – Environmental characterization of the limestone study area used to develop the model. Grey bars represent the proportion (%) of ibex wintering areas; white bars represent the composition of the areas not used during winter. The preferred values are those where the grey bar is higher than the white one.

 

4.4.2 Model implementation

The dependence of ibex presence on environmental factors was tested with univariate statistics (ANOVA). All variables - except urban areas and agriculture - resulted significantly different between "ibex areas " and "non ibex areas". Glaciers were discarded from the analysis due to their scarce occurrence and because their contribution in fitting the univariate logistic regression was not significant; the three different forest types and the three aspects from south-west to south-east were pooled together to better fit the logistic regression. Overall, 10 out of 21 variables were discarded before performing the multivariate analysis.

The linear relationship of the logit of all continuous variables with the dependent variable was tested (p<0.05). The quadratic terms of altitude, slope, growing trees and ridge complexity were introduced to take into account the non-linear relationship with the logit. The pastures*forest interaction significantly contributed to the model (likelihood ratio test) and was selected for the stepwise logistic regression.

Quadratic terms are used to improve the discriminating power of the model by compensating for a non linear distribution of values (Fig. 4.13). The quadratic term can be useful if in the logistic function there is no linear relationship between the independent variable and the logit ().

 

Figure 4.13 – Trend of the logit value of the probability of ibex presence in relation to individual environmental variables (see text). for further explanations). South aspect in the upper left box, Altitude in the upper right box, Rock areas in the lower left box.

 

Fifteen variables and their interactions were tested in the stepwise logistic regression (Table 4.5). The univariate logistic regression showed that ibex presence is significantly and positively correlated with ridge complexity, slope, rock cliffs, alpine vegetation, pastures, bushes. Obviously, in the stepwise logistic regression the degree of correlation between ibex presence and covariates may differ due to the interactions among variables.

 

Table 4.5 – Results of the predictive model of winter ibex distribution in dolomite (limestone) environment. The variables included in the model contribute positively (R>0) or negatively (R<0). "B" represents the coefficient of regression, "SE" its standard error, "y " the contribution of each variable to the final suitability (see text for further details), "∆" the rating, "p" the level of significance, and "R" the univariate correlation coefficient (Spearman).

Variables

B

SE(b)

y

p

R

Constant

-66.265

17.02

   

0.001

 

Growing trees

0.378

0.15

43.73

10

0.013

0.055

Grow. trees2

-0.001

0.00

0.99

10

0.001

-0.084

Bushes

0.349

0.15

32.62

10

0.020

0.050

Pastures

0.343

0.15

30.94

10

0.021

0.049

Rocks

0.354

0.15

34.40

10

0.019

0.050

Alpine veg.

0.363

0.15

37.83

10

0.016

0.052

Altitude

0.024

0.01

10.49

100

0.000

0.096

Altitude2

0.000

0.00

1.00

100

0.000

-0.096

Slope

0.068

0.04

1.07

1

0.090

0.025

Slope2

-0.001

0.00

1.00

1

0.044

-0.039

Ridge compl2

10.238

1.82

2.78

0.1

0.000

0.146

Forest

0.303

0.15

20.66

10

0.041

0.040

North

-0.102

0.01

0.36

10

0.000

-0.206

South

-0.020

0.01

0.88

10

0.007

-0.062

Pasture * forest

0.001

0.00

   

0.007

0.062

 

- 2 log likelihood constant

1386.3

- 2 log likelihood model

523.5

Hosmer & Lemeshow goodness of fit

7.1 8 df p<0.52

Nagelkerke R2

0.771

 

The logistic regression equation provides a p-value, ranging from 0 to 1, that represents the probability to be classified as suitable habitat for ibex. The odds ratios (y ) reported in Table 4.5 define the weight of each variable in increasing the probability to be a suitable habitat: the odd ratios are obtained by the formula exp(B * ∆), meaning that an increase of 0.1 points (∆) in the amount of ridge complexity (B = 10.238) gives a 2.78 (y ) times greater probability to be a suitable area.

To assess the fit between the model and the data set, the expected values of the 12,000 points extracted were estimated and a classification table was obtained (Table 4.6). The overall rate of correct classification was 89%, with 93% of the "ibex areas" and 85% of the "non ibex areas" being correctly classified.

 

Table 4.6 - Classification table based on the stepwise logistic regression model for ibex potential wintering areas; "0" indicates the "non ibex areas", "1" indicates the "ibex areas", cut point c = 0.5; n = 21,000.

 

Predicted

 

Observed

0

1

Percent correct

0

427

73

85.4%

1

37

463

92.6%

   

Overall

89.0%

 

The stepwise logistic regression gives a coefficient (B) for each included variable and a constant. The p value for the ibex suitability will be obtained from the formula

P = 1 / (1 + exp(-1 * (constant + B1 * var1 + B2 * var2 + ….))).

This formula was applied to the whole study area above 1100m; afterwards, the suitable areas smaller than 1 ha were discarded to give a biological sense to these areas given that no wintering area smaller than 2 ha was recorded (Fig. 4.14). In the study area, which extends over about 13500 ha, the potential ibex wintering areas cover 2810 ha. In particular, there are 844 ha with lower probability (50% < p < 75%) to be suitable for ibex wintering and 1966 ha with high probability (50% < p < 75%). A simple comparison with actual ibex distribution (1150 ha) in the same area indicates that the ibex colonies still have great potential for increasing their population size (only 41% of the suitable territories have already been colonised).

Figure 4.14 - Map of model predictions (green) and real ibex wintering areas (red) in the case study areas for the limestone environment. Light green indicates p > 50% and < 75%, dark green indicates p > 75%.

 

4.5 Model validation

With the new computer technology it is extremely easy to create any kind of models, however these models have no reliability if they are not validated, which probably is the most difficult task. The validation of a model is essential to know whether the results reflect the reality of the study area, and whether the model is exportable to other situations (Flather & King 1992). The model vValidation is especially important when the model is used to predict the outcome in new areas of future subjects (Hosmer and Lemeshow 1992).

There are two different levels of validation: 1) the evaluation of the correct predictions within the area used by the model, and 2) the comparison of the results of the model in a different area with data collected independently. The results of the first type of validation are almost tautological and most models fit well with the data used to create them. For the models of the siliceous and limestone environments for ibex winter distribution, these results have already been presented and the percentages of correct classifications has to beis considered satisfactory compared to other similar studies (Buckland & Elston 1993, Augustin et al. 1996, Flather & King 1992).

What follows is a discussion of the results of the validations performed on data and area different from those used to implement the models.

In the model for siliceous environment, the data set of the Tessa MU (the middle area in Fig. 4.7) was excluded from the analysis and used only to test the model (i.e., the control area). Within this MU, the extension and distribution of actual ibex wintering areas in the region above 1100m (42,600 ha) wereas compared to the prediction of the model (Fig. 4.15). The result was that, out of the 1969 ha over which ibexesibex were observed during winter, the model had identified 1205 ha (61.2%) as suitable. On the other hand, a large amount of area not actually used by ibex during winter (14671 ha, or 33% of the total area) had been classified as suitable. These results are confirmed by analogous results in the model implementation area and by the population dynamics of the ibex colonies present, typical of expanding and growing populations.

 

Figure 4.15 - Map of model predictions (green) and real ibex wintering areas (red) in the validation area of the Tessa mountain range. Light green indicates p > 50% and < 75%, dark green indicates p > 75%.

For the model of the limestone environment it was difficult to identify the control areas in which the ibex wintering areas had been mapped with the necessary accuracy. Finally, the data sets of two small colonies in the Dolomites were used to perform the validation.

The first control is the Lasties Valley, a small valley in the Sella mountain range, about 10 km north-west from the area inhabited by the Marmolada-Monzoni colony. The Lasties Valley has recently been colonized by few ibexesibex (30 individuals during 2000) spontaneously coming from the larger colony ofin the Marmolada-Monzoni range. In this case the wintering area of the new colony is completely within the areas indicated by the model to beas highly suitable for ibex wintering.

The second control case is probably more significant, because the Croda Rossa–Croda del Becco colony ranges over a large area (about 8500 ha) and has been living there since 1965, with about 70 ibexesibex counted. This area is located at the border between the Bolzano and Belluno provinces, about 25 km north-east of the Marmolada-Monzoni range. The extension and distribution of the actual ibex wintering areas of the Croda Rossa–Croda del Becco colony were compared to the prediction of the model (Fig. 4.16), with the result that, out of the 378 ha over which ibexesibex had been observed during winter, the model had identified 284 ha (or 75.1%) as suitable.

 

Figure 4.16 - Map of model predictions (green) and real ibex wintering areas (red) in the case study areas of the Croda Rossa–Croda del Becco colony. Light green indicates p > 50% and < 75%, dark green indicates p > 75%.

4.6 Model application

The two models were developed and validated through on visual observations of actual ibex wintering areas in the Venosta Valley and in the Dolomites. Subsequently, the two formulas derived from these models were applied to the entire Italian Alps. The geological map in Fig. 4.3 was used to determine which of the two models had to be used in the different parts of the Alps, and as a consequence the final map of potential ibex winter distribution derives from the combination of the siliceous and the limestone environment formulas (Fig. 4.17).

Figure 4.17 – Map of potential ibex winter distribution, produced as the combination of the siliceous and the limestone environment models.

The total extension of the areas suitable as winter habitat in the Italian Alps identified by the two models is 4950 km2, almost 11% of the study area. If the ibex density values actually found in the wintering areas currently used (8-30/100 ha in the two case study areas) is extrapolated to all these potential wintering areas of the Italian Alps, then a potential ibex population of 40,000-150,000 ibex is calculated.

It is not possible to compare in detail the extension of the potential ibex distribution with the actual distribution, since the collected data refer to whole-year space occupancy while the model data focus on wintering distribution only. In any case, real distribution will never raise to the potential level indicated by the model (40,000-150,000) given that - even if summer habitat is generally not the limiting factor - not always is there enough available habitat to permit the round-year presence of the species.

To achieve the potential ibex distribution the availability of wintering areas is crucial (Wiersema 1983a), but it is also important to consider the less critical aspect of summer areas. To this purpose, and according to Tosi et al. (1986), it was decided to consider all the Italian Alpine territory above 2000m as suitable potential summering areas, with the exception of forested areas and glaciers. In the case of the Friuli–Venezia Giulia region, the elevation limit for summering areas was lowered to 1700m, according to the mean elevation of the upper tree line. Needless to say, only mountain ranges with sufficient summer and winter areas can be colonized by the ibex. The MU "Sx Aosta - M. Rosa - V. Anzasca" well represents the importance of both areas. Here ibexesibex are largely distributed and inhabit most of the areas indicated as suitable by the winter distribution model, nevertheless there is a large amount of potential wintering areas in the eastern part of the MU in which no ibex colonies are counted (Fig. 4.18). Comparing the actual ibex distribution to the spatial distribution of the areas above 2000m, it is apparent that almost all wintering areas near summer areas have already been colonized by the species, and that only the large wintering areas in the eastern part of the MU, with almost no territory above 2000m nearby, have not been colonized.

 

Figure 4.18 – Model results for potential wintering areas identification in the management unit "Sx Aosta - M. Rosa - V. Anzasca" (green). Red lines indicate the actual ibex distribution in the area; in brown, the areas above 2000m (potential summer areas).

The following table and two figures report the results of the model in relation to the MUs and to the availability of summering areas.

 

Table 4.7 – Territory extent of the different management units recognised as suitable and not suitable for ibex wintering; t. Total extent of the management units and percentage of territory potentially interested by ibex winter presence.

Extension (ha)

Management Units

Suitable

Not suitable

Total

Suitable (%)

Imperia

8005

113829

121834

6,6%

Alpi Marittime

11378

81502

92880

12,3%

V. Maira – Orsiera

49575

267045

316619

15,7%

V. Lanzo - G. Paradiso - M. Bianco

55853

303523

359376

15,5%

Sx Aosta - M. Rosa - V. Anzasca

51681

307002

358682

14,4%

V. Formazza - V. Grande

17896

116030

133926

13,4%

Alpi Lepontine

10214

118947

129161

7,9%

Bernina

16570

87552

104122

15,9%

Alpi Orobie

26339

292691

319030

8,3%

Adamello

16448

211450

227898

7,2%

Brenta

16633

276974

293607

5,7%

Alpi Retiche - Ortles – Cevedale

31613

293915

325528

9,7%

V. Venosta – Brennero

34074

214366

248440

13,7%

V. Punsteria

25096

129578

154674

16,2%

Dolomiti

75667

534698

610365

12,4%

Alpi Carniche - Alpi Giulie

41346

413849

455194

9,1%

Asiago – Grappa

6666

280890

287556

2,3%

TOTAL

495054

4043840

4538894

10,9%

 

 

 

Figure 4.19 – Model results for the western Italian n Alps. Left, the areas above 2000m (potential summer areas); right, the potential wintering areas.

Figure 4.20 - Model results for the eastern Italian Alps. Top, the areas above 2000m (potential summer areas); bottom, the potential wintering areas.

 

4.7 Synthesis

To predict the distribution and extent of the potential wintering areas actually useable by ibex, only areas near potential summer habitatquarters were considered. In the final map of potential ibex winter distribution all wintering areas identified by the model were included, except those more than 5 km away from other wintering areas or from summer areas (Table 4.8, Figg. 4.21 and 4.22). This was based on the assumption that each ibex population requires adequate extension of both winter and summer areas to meet its seasonal ecological needs, and that such areas need to be somehow connected and not impedein order to allow seasonal migrations.

 

Table 4.8 - Territory Eextent of the different management units recognised as suitable for ibex wintering, percent of area above 2000 m, potential wintering area considering the availability of summering areas, percent of wintering area decrease excluding areas too far from summering areas.

Management Units

Model

(km2) (km2)

% of area above 2000m

Potential

winter area (km2) (km2)

% decrease

Imperia

80

5.3%

71

11%

Alpi Marittime

114

35.3%

110

3%

V. Maira -– Orsiera

496

32.0%

496

0%

V. Lanzo - G. Paradiso - M. Bianco

556

47.6%

552

1%

Sx Aosta - M. Rosa - V. Anzasca

517

35.9%

467

10%

V. Formazza - V. Grande

179

21.9%

108

40%

Alpi Lepontine

102

14.5%

73

28%

Bernina

166

39.8%

166

0%

Alpi Orobie

263

11.8%

211

20%

Adamello

164

27.0%

146

11%

Brenta

166

4.8%

100

40%

Alpi Retiche - Ortles - Cevedale

316

54.4%

309

2%

V. Venosta -– Brennero

341

41.0%

341

0%

V. PusteriaPunteria

251

44.3%

250

1%

Dolomiti

757

19.9%

686

9%

Alpi Carniche - Alpi Giulie

413

17.4%

388

6%

Asiago - Grappa

67

0.8%

19

71%

TOTAL

4948

26.3%

4493

9%

 

 

Figure 4.21 - Model results for the western part of the Italian Alps. Only the wintering areas located within 5 few kilometres offrom potential summering areas were considered; , compare also Fig. 4.19 and table 4.8.

 

Figure 4.22 - Model results for the eastern part of the Italian Alps. Only the wintering areas located within few5 kilometres offrom potential summering areas were considered;, compare also Fig. 4.20 and Table 4.8.

 

Based on the above considerations above, two final versions of the following distribution maps were produced:

The comparison ofbetween the real (chapter 3) with and the potential (chapter 4) situation for each MU are shown in Tables 4.9 and 4.10.

 

 

Table 4.9 – Ibex distribution and population size in the Management Units of the Italian Alps. "Potential summer" and "potential winter areas" were estimated according to the models developed (see text) for further explanations). "Present density" (number of ibex/100 ha) was calculated on the present ranges occupied by each colony (km2).

ID

Management Unit

Total surface (km2 )(km2)

Colony range

(km2)(km2)

Population size

Potential summer area (km2) (km2)

Potential winter area (km2)(km2)

Present density

/100 ha

1

Imperia

1218

0

0

55

6671

0

2

Alpi Marittime

929

285

606

328

110

2.,1

3

V. Maira – Orsiera

3166

282

368

1013

496

1.,3

4

V. Lanzo - G. Paradiso - M. Bianco

3594

1095

6120

1590

552

5.,6

4a

GPNP

707

551

4010

642

144

7,.3

4b

Resto

2887

544

2110

948

408

3,.9

5

Sx Aosta – M. Rosa - V. Anzasca

3587

646

2135

1218

467

3,.3

6

V. Formazza - V. Grande

1339

107

11107

273

108

1,.0

7

Alpi Lepontine

1292

88

147

178

73

1,.7

8

Alpi Retiche – Bernina

1042

104

150

376

166

1,.4

9

Alpi Orobie

3190

151

490

357

211

3,.2

10

Adamello

2279

135

129

554

146

1,.0

11

Brenta

2936

6

40

132

97100

6,.7

12

Alpi Retiche – Ortles - Cevedale

3255

418

1344

1656

309

3,.2

13

V. Venosta – Brennero

2484

174

494

962

341

2,.8

14

V. Pusteria

1547

79

86

655

249250

1,.1

15

Dolomiti

6104

134

556

1188

686

4,.1

16

Alpi Carniche – Alpi Giulie

4552

113

450

774

388

4,.0

17

Asiago – Grappa

2876

0

0

14

1619

0

               
 

WESTERN ALPS (1-6)

13833

2416

934036

4671

1799

3,.9

 

W. Alps without GPNP

13126

1864

533026

3996

1443

2,.9

CENTRAL ALPS (7-13)

16478

1075

2794

4482

1342

2,.6

 

EASTERN ALPS (14-17)

15078

326

1092

2663

1339

3,.3

               
 

TOTAL

45389

3817

132262

11816

449380

3,.5

 

TOTAL without GPNP

44682

3265

92162

11141

4349124

2,.8

 

Table 4.10 – Estimates of Ibex potential distribution and population size in the Management Units of the Italian Alps. "Present density" (number of ibex/100 ha) was calculated on the present ranges occupied by each colony (km2). "Winter density" was calculated on potential wintering ranges (km2) (see text). for further explanations). "Winter potential population size" was set at a conservative mean winter density of 10 ibex/100 ha. "Summer potential population size" was set at a conservative mean summer density of 5 ibex/100 ha. "Population size difference (%)" shows the percentage of present population size against as a percentage of the estimated potential one. "Wintering areas difference (%)" shows the percentage of wintering areas occupied against as a percentage of the estimated potential ones.

ID

Management Unit

Present density

Winter density

Winter potential population size

Summer potential population size

Population size difference

(Proportion againstreal vs.ersus potential %)

Wintering areas

difference

(real vs. ersus (Proportion against potential %)

1

Imperia

0

0,0

660

276

--

--

2

Alpi Marittime

2,.1

5,.5

1103

1640

55%

49%

3

V. Maira – Orsiera

1,.3

0,.7

4958

5063

7%

15%

4

V. Lanzo - G. Paradiso - M. Bianco

5,.6

11,.1

5516

8534

   

4a

PNGPNP

7,.3

27,.8

2300

3375

174%

63%

4b

Resto

3,.9

5,.2

3220

5160

66%

37%

5

Sx Aosta – M. Rosa - V. Anzasca

3,.3

4,.6

4669

6419

46%

35%

6

V. Formazza - V. Grande

1,.0

1,.0

1080

1421

10%

21%

7

Alpi Lepontine

1,.7

2,.0

733

917

20%

42%

8

Alpi Retiche – Bernina

1,.4

0,.9

1656

2071

9%

16%

9

Alpi Orobie

3,.2

2,.3

2105

1801

27%

20%

10

Adamello

1,.0

0,.9

1460

3064

9%

21%

11

Brenta

6,.7

0,.4

970

659

6%

--

12

Alpi Retiche - Ortles - Cevedale

3,.2

4,.3

3092

8821

43%

30%

13

V. Venosta - Brennero

2,.8

1,.4

3407

5079

14%

22%

14

V. Pusteria

1,.1

0,.3

2491

3413

3%

11%

15

Dolomiti

4,.1

0,.8

6856

5963

8%

9%

16

Alpi Carniche - Alpi Giulie

4,.0

1,.2

3885

3869

12%

11%

17

Asiago - Grappa

0

0,.0

161

72

 

--

               
 

WESTERN ALPS (1-6)

3,.9

5,.2

17986

23354

52%

 
 

W. Alps without GPNP

2,.9

3,.4

15686

19979

34%

 
 

CENTRAL ALPS (7-13)

2,.6

2,.1

13424

22411

21%

 
 

EASTERN ALPS (14-17)

3,.3

0,.8

13392

13316

8%

 
               
 

TOTAL

3,.5

3,.0

44802

59081

30%

 
 

TOTAL without GPNP

2,.8

2,.2

42502

55706

22%

 

 

In the sample areas used for developing the model the actual winter areas actually occupied by ibex within the sample areas used for developing the model, densities are estimated at between 8 and 30 individuals/100 ha. To compare current actual withand potential presence in each MU, very conservative density values were applied to the potential areas (10 ibex/100 ha for winter areas; 5 ibex/100 ha for summer areas) (Table 4.10). The resulting potential population sizes obtained are therefore should be to be considered as minimum values, as indicatedproven by the high population densities reached in some protected areas (GPNP, Stelvio NP, Alpi Marittime Natural Park, Valsesia Natural Park). Current Actual density (calculated over the entire range occupied by each colony and therefore including both summer and winter areasquarters) is higher than 5/100 ha only in GPNP,; while in other long-established MUs it is 2-4/100 ha.

MU 4 "V. Lanzo - G. Paradiso - M. Bianco" refers only to the portion outside of GPNP (GPNP actual population is assumed to be considered the same as the potential one).

In 2 of the 17 MUs (MU 1 "Imperia" and MU 17 "Asiago - Grappa") the extent of the potential ibex areas is so small that the 2 MUs are considered unsuitable to the stable continued presence of ibex.

Overall, the extent of potential summer areas is higher in the central Alps (4480 km2), intermediate in the western Alps (4000 km2 excluding GPNP) and lower in the eastern Alps (2650 km2). The extent of the suitable wintering areas, on the contrary, is comparable in the three subregions (1350-1450 km2). Average MU density, calculated over the ranges occupied, is 2.6-3.3 ibex/100 ha. Considering Focusing on the entire Italian portion of the Alps (about 45,400 km2), the extent of suitable summer areas is 11,800 km2 (11,150 km2 without GPNP) and the extent of suitable winter areas is 4,480 km2 (4,120 km2 without GPNP).

Average winter MU densities, calculated for over the extent ofon potential winter areas of each MU, range between 0.3 and 5.5 ibex/100 ha, andprovingindicating their large differences between the real actual and the potential situation varies a great deal. As usualespectedexpected, GPNP stands out with a winter density of 27 ibex/100 ha.

Densities calculated over the extent offoron potential winter areas decrease from west to east: 3.4 ibex/100 ha in the western Alps, 2.1 ibex/100 ha in the central Alps and 0.8 ibex/100 ha in the eastern Alps, corresponding to 34%, 21% and 8% of the potential value, respectively. In other words, the difference between real and potential density is lower in the west and increases moving eastwards along the Italian Alps.

The proportion of the potential winter areas currently actually occupied (those predicted by the model and included within the range of each population) and versus the total potential winter areas is a good indicator of how well ibex are distributed in each MU (Table 4.10). MUs with a proportion of <20% have a distribution that is still low and requires direct translocations. MUs with a proportion of >30% require actions mainly aimed at encouraging the natural growth and dispersion of the colonies already existing.

For an overview of MU potential densities to use as a reference, the extent of potential summer and winter areas was multiplied by very conservative estimates of summer and winter density (5 and 10 ibex/100 ha respectively). The potential densities obtained are therefore to be considered as minimum values, as the high population densities reached in some protected areas prove (GPNP, Stelvio NP, Alpi Marittime Natural Park, Valsesia Natural Park).

 

The implementation of the models leads us to a total estimated potential ibex population in the Italian Alps of 44,800 in winter and 59,100 in summer. Given that the actual population is 13,000 ibex, the proportion of real popyulationpopulation against as a proportion of potential population is about 30%.

In 6 of the 17 MUs, potential summer populations are lower than winter ones, leading to the hypothesis that the limiting factors linked are tied more to the summer season have more weight (for example, in summer ibex seek areas at higher elevation, meaning that the availability of high-altitude summer areas is an important limiting factor). Of these 6 MUs, MU 1 and MU 17 had already been considered unsuitable forto stable ibex presence; MU 9 ("Alpi Orobie") has relatively low mean altitudes (the crest line is between 2500 and 2900m); and MUs 11 ("Brenta"), 15 ("Dolomiti") and 16 ("Alpi Carniche-Alpi Giulie") are in the calcareous-dolomite portion of the central-eastern Alps, with lower mean altitudes.

In 2 of the 15 MUs suitable to a stable ibex population (MU 7 "Alpi Lepontine" and MU 11 "Brenta"), the minimum potential population is <1000 individuals. This figure was chosen as a cut pointthreshold for priority actions, which should be focused on large (>1000 ibex) populations first. The size of MUs 7 and 11 penalises them in the ranking for priority actions.

Table 4.11 synthesises the status of ibex populations in the various MUs compared to the potential situation, and recommends priority actions for the conservation and management of these populations. Priority is ranked according to a 0-3 scale. Under "Actions", the interventions deemed important to achieve the potential objectives are listed. Actions include translocations and other direct interventions aimed at encouraging and speeding up natural recolonizsation. They purposefully do not include regular monitoring ofn the status, genetics, demography and ecology of the populations. Although not included here, they are considered paramount for a correcteffective, long-term management of strategy of the species.

 

Table 4.11 – Synthesis of the priority actions recommended for each Management Unit of the Italian Alps, aimed ato increasinge range and size of the ibex colonies. At this point, actions such as monitoring and research (status, demography, genetics) have not been considered.

"Current presence" is considered "low" when the density over the entire winter area is <1 ibex/100 ha, "good" when density is >4 ibex/100 ha, "medium" when it is intermediate.

"Distribution" is described as "low" when the proportion of winter area occupied is less than 20% against theof the total potential areaone is <20%;; "good" when the proportion is equal to or >30%, "medium" when it is intermediate.

"Priority for action" is expressed asin "0" (no priority), 1, 2 orand 3 (high priority), depending on: a) the current population size and distribution compared to the potential situation, b)on existing reintroduction programmes, and c) on high chamois density. "0" indicates either GPNP or MUs unsuitable to ibex presence, or the GPNP, where no actions aren is planned to increase population distribution and size.

ID

Management Unit (MU)

Current presence

Distribution

Priority for action

Actions recommended

1

Imperia

--

--

0

  • None.

2

Alpi Marittime

Good

Good

1

  • Encourage dispersion towards the north-western portion of the MU.

3

V. Maira - Orsiera

Low

Low

3

  • Continue reintroduction programme initiated began in the Cuneo province in 1999.
  • Consider new reintroductions in the Torino province.

4

V. Lanzo - G. Paradiso - M. Bianco

       

4a

PNGPNP

Good

Good

0

  • None.

4b

RestoRest

Good

Good

1

  • Encourage population increase in southern portion of the MU.

5

Sx Aosta – M. Rosa - V. Anzasca

Good

Good

1

  • Encourage population increase especially outside of protected areas.

6

V. Formazza -– V. Grande

Medium

Medium

2

  • Encourage dispersion towards northern portion of the MU (possibly new translocations).

7

Alpi Lepontine (1)

Medium

Good

1

  • Monitor trends inof the population of the Alpi Lepontine in the Como province and consider new translocations.

8

Alpi Retiche – Bernina

Low

Low

2

  • Encourage dispersion and increase in central-eastern portion of the MU.
  • Val Codera and Valle dei Ratti show good suitability for future translocations.

9

Alpi Orobie

Medium

Medium

1

  • Encourage merging of the western and eastern colonies.

10

Adamello

Low

Medium

3

  • Continue reintroduction programme in areas where ibex presence is still low (high chamois density).

11

Brenta (1)

--

--

2

  • Monitor the Alto Garda colony (sub-optimal range).
  • Consider reintroduction in the Brenta Group (high chamois density).

12

Alpi Retiche - Ortles – Cevedale

Good

Good

1

  • Implement reintroductions in the provinces of Trento and Bolzano to speed up the reicolonizsation process.

13

V. Venosta – Brennero

Medium

Medium

2

  • Encourage further dispersion of the populations present.
  • Reconsider current criteria for hunting management.

14

V. Pusteria

Low

Low

3

  • Encourage further population dispersion, including , otheralso through reintroduction programmes (presence of mange).
  • Reconsider current criteria for hunting management.

15

Dolomiti

Low

Low

3

  • Continue current reintroduction programmes and encourage new translocations (presence of mange; high chamois density).

16

Alpi Carniche - Alpi Giulie

Medium

Low

2

  • Plan future reintroductions in north-western portion of the MU.

17

Asiago – Grappa

--

 

0

  • None.

(1) Minimum potential population <1000 individuals.

 

 

 

 

 

5. CONCLUDINGSIVE REMARKS

5.1 Conclusions

However:

 

5.2 Recommendations

 

5.3 Drafting guidelines for a future conservation strategy forof Alpine ibex in Italy

An Alpine ibex management strategy or action plan should be developed and , which needs to be shared by all the relevant key players. Issues such as 1) monitoring, 2) translocations, 3) genetic implications, 4) habitat management, 5) hunting and harvest, etc. should be addressed.

  1. Monitoring:
  2. - Greater efforts should be made to standardize count and census methods (Tosi & Scherini 1989).

  3. Translocations. Planning and implementation of translocation projects should be based on careful assessment of environmental, sanitary, demographic and genetic issues (Tosi et al. 1997), namely:

- The selection of reintroduction areas should be supported by environmental evaluation models (Meneguz et al. 1986,; Tosi et al. 1986,; Pedrotti and Dupré 2000,; this report).

- All areas potentially selected for reintroduction will haveneed to first undergo a preventive environmental analysis to verify whether they are suitable from a healthsanitary point of view (i.e., thesee present mange epidemic in the north-eastern Italian Dolomites). The original populations from whichere specimens for translocation are captured should undergo regular health control to avoid the potential spreading of pathologies diseases (Anon. 1997).

- Priority for ibex release should be given to protected areas or other areas capable oftof ensureinging efficient surveillance against poaching and disturbance. This does not exclude a priori transfer to controlled hunting areas, as long as the transfer is undertaken after adequate communication with the hunters and is followed by regular monitoring, perhaps using radiotelemetry (Tosi & Pedrotti 1990, Tosi et al. 1991a).

- For the highest chance of success, the founders’ stock should always be as numerous as possible (at least 40-50 individuals in no more than three years of release) (Gauthier & Villaret 1990). It would be preferable to focus resources on few operations with severalmany founders, rather than several operations with few (10-20) founders.

- In reintroduction areas, grazing of domestic sheep and goats should be limited in order to decrease the chance of diseases and parasite transmission and of hybridisation (some cases of hybridisation were found in both the western and central Italian Alps, in areas of recent ibex reintroduction with high goat density;, e.g., the Ossola Valley in Piemonte and the Chiavenna Valley in Lombardia).

3) Genetic implications:

- The founders’ stock to create new colonies should be selected according to the latest findings on the genetic variability of the different populations (Luikart 2001). Ideally, individuals from It is recommended to use individuals directly from the Gran Paradiso mother colony should be used to , which fully satisfyies this requirement (Nascetti et al. 1990, Randi et al. 1990). Alternatively, and/or individuals coming from the areas established for the longest time and with the largest colonies. should be used.

- The recent results on the genetic variability of Italian ibex colonies (DNA analysis, Luikart 2001) provide interesting input to the future planning selection of the stocks to use in reintroductions. However, the samples analysed so far are limited and do not refer to all the populations potentially qualified to provide founding individuals. This research theme should be further developed and tailored to the information needed for planning selecting stocks which are as suitable as possible. It would also be useful to verify by electrophoresis and DNA analysis that none of the founders show traces of hybridisation with domestic goats (Randi et al. 1990).

- Finally, a network or coordination should be established among the ibex colonies that provide founders’ stocks (Gran Paradiso NP, Alpi Marittime NP, Stelvio NP, etc.) in order to plan exchanges and vary the origin of the individual ibex released in each area.

4) Habitat management:

5) Hunting and harvest: detailed guidelines should be developed for rational ibex management through hunting. The following should be included in the guidelines:

define harvest rates:

 

5.4 Next steps

Reintroduction programmes to narrow the gap between present and potential ibex distribution in a short time should be encouraged because of: a) Tthe discontinuity of the ibex areas and the parallel isolation of many colonies, b) the ibex’ limited colonization ability, and c) the general current lower densities compared to the potential carrying capacity of the Italian Alps. encourage the development of reintroduction programmes to narrow the gap between present and potential ibex distribution in a short time.

 

This study represents the first step of a process;: other steps will have to follow. Now that a comprehensive overview of the current status of Alpine ibex in Italy is available, and that the gap between to itscurrent and potential levels of distribution and density has been identifiedquantified, we have a yardstick against which to pace our efforts and measure our success in ibex conservation. What is needed at this point is the translation of this information into management actions. To this end the following actions should be taken:purpose:

 

 

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ANNEX

 

Data on the ibex colonies of the Italian Alps

 

 

 

 

 

 

 

Figure A.1 – Current distribution of Alpine ibex in the western Italian Alps (2000). Numbers indicate the ibex colony identification code reported in the following tables (IDcol); red line indicates the borders of the ibex management units; light grey lines indicate the province borders.

Figure A.2 – Current distribution of Alpine ibex in the central-eastern Italian Alps (2000). Numbers indicate the ibex colony identification code reported in the following tables (IDcol); red line indicates the borders of the ibex management units; light grey lines indicate the province borders.

 

Table A.1 – Distribution, origin, size and evolution of Italian Alpine ibex colonies (1984-2000). "IDcol" and "IDmu" are the identification numbers of the colony and the management unit, respectively; "Prov" is the abbreviation of the Italian province; "Born" indicates the year of origin of the colony; "Colony size" is reported for three time intervals. Italian provinces: Cuneo (CN), Torino (TO), Aosta (AO), Vercelli (VC), Verbania (VB), Sondrio (SO), Como (CO), Lecco (LC), Bergamo (BG), Bolzano (BZ), Brescia (BS), Trento (TN), Belluno (BL), Pordenone (PN), Udine (UD).

No. ibex

Colony size

IDcol

Colony name

Management Unit

IDmu

Prov

Born

Origin

released

1984-85

1994-95

2000

1

Parco Naturale Alpi Marittime

Alpi Marittime

2

CN

1920

re-introduction

23

409

475

552

2

Ciastella

Alpi Marittime

2

CN

1970

immigration

0

20

25

30

3

Valle Stura

Alpi Marittime

2

CN

1970

immigration

0

24

24

24

4

Oronaye

Val Maira - Orsiera

3

CN

1990

immigration

0

0

0

5

5

Maurin

Val Maira - Orsiera

3

CN

1990

immigration

0

0

0

17

6

Chersogno

Val Maira - Orsiera

3

CN

2000

re-introduction

10

0

0

10

7

Alta Val Varaita

Val Maira - Orsiera

3

CN

1999

re-introduction

10

0

0

30

8

Monviso-Val Pellice

Val Maira - Orsiera

3

TO

1978

re-introduction

24

20

100

140

9

P.ta Vergia - P. Cornour

Val Maira - Orsiera

3

TO

1978

immigration

0

6

0

0

10

Germanasca - Massello - Troncea

Val Maira - Orsiera

3

TO

1978

re/immigration

12

15

78

150

11

Orsiera – Rocciavrè

Val Maira - Orsiera

3

TO

1995

re-introduction

12

0

5

16

12

Roc del Boucher

Val Maira - Orsiera

3

TO

1970

re-introduction

17

13

0

0

13

M. Levi - C. Vallonetto

V. Lanzo - G. Paradiso - M. Bianco

4

TO

1990

re-introduction

38

30

60

70

14

Rocciamelone – Lera

V. Lanzo - G. Paradiso - M. Bianco

4

TO

1970

immigration

0

15

40

40

15

Valli di Lanzo

V. Lanzo - G. Paradiso - M. Bianco

4

TO

1960

immigration

0

70

437

997

16

PNGPGPNP - Valle dell'Orco

V. Lanzo - G. Paradiso - M. Bianco

4

TO

autochthonous

autochthonous

0

595

669

595

17

PNGPGPNP - Val Soana

V. Lanzo - G. Paradiso - M. Bianco

4

TO

autochthonous

autochthonous

0

170

168

170

18

PNGPGPNP - Val di Cogne

V. Lanzo - G. Paradiso - M. Bianco

4

AO

autochthonous

autochthonous

0

1297

1297

1297

 

 

No. ibex

Colony size

IDcol

Colony name

Management Unit

IDmu

Prov

Born

Origin

released

1984-85

1994-95

2000

19

PNGPGPNP – Valsavarenche

V. Lanzo - G. Paradiso - M. Bianco

4

AO

autochthonous

autochthonous

0

1407

1407

1407

20

PNGPGPNP – Val di Rhemes

V. Lanzo – G. Paradiso – M. Bianco

4

AO

autochthonous

autochthonous

0

541

541

541

21

Clavalité – Champocer

V. Lanzo – G. Paradiso – M. Bianco

4

AO

autochthonous

autochthonous

0

80

273

251

22

Valle di S. Marcel – Riserva Grand Avert

V. Lanzo – G. Paradiso – M. Bianco

4

AO

autochthonous

autochthonous

0

35

133

172

23

Sx Valle di Rhemes – V. Grisenche

V. Lanzo – G. Paradiso – M. Bianco

4

AO

autochthonous

immigration

0

157

331

260

24

Rutor – Val Grisenche

V. Lanzo – G. Paradiso – M. Bianco

4

AO

1990

immigration

0

0

127

95

25

La Thuille – Piccolo S.Bernardo

V. Lanzo – G. Paradiso – M. Bianco

4

AO

1970

re-introduction

5

0

0

0

26

Val Veny – Val Ferret

V. Lanzo – G. Paradiso – M. Bianco

4

AO

1950

re/immigration

4

25

100

225

27

Gr. Rochere – Golliaz

Sx Aosta – M. Rosa – V. Anzasca

5

AO

1970

immigration

0

25

65

55

28

M. Fallère

Sx Aosta – M. Rosa – V. Anzasca

5

AO

1990

immigration

0

0

36

40

29

Gran S. Bernardo

Sx Aosta – M. Rosa – V. Anzasca

5

AO

1970

immigration

0

20

50

110

30

Ollomont – Valpelline

Sx Aosta – M. Rosa – V. Anzasca

5

AO

1970

immigration

0

40

282

281

31

La Granda – Luseney – Dx Tournanche

Sx Aosta – M. Rosa – V. Anzasca

5

AO

1969

re-introduction

5

63

225

424

32

Ayas – Gr. Tournalin – M. Bettaforca

Sx Aosta – M. Rosa – V. Anzasca

5

AO

1960

re-introduction

36

106

309

323

33

M. Zerbion

Sx Aosta – M. Rosa – V. Anzasca

5

AO

1990

immigration

0

0

14

36

 

 

No. ibex

Colony size

IDcol

Colony name

Management Unit

IDmu

Prov

Born

Origin

released

1984-85

1994-95

2000

34

Gressoney – C. Rosso – C. Bianco

Sx Aosta – M. Rosa – V. Anzasca

5

AO

1961

re-introduction

16

70

89

101

35

M. Nery

Sx Aosta – M. Rosa – V. Anzasca

5

AO

1990

re-introduction

5

0

6

25

36

Valsesia

Sx Aosta – M. Rosa – V. Anzasca

5

VC

1963

re/immigration

14

113

280

600

37

Macugnaga – Valle Anzasca

Sx Aosta – M. Rosa – V. Anzasca

5

VB

1966

re-introduction

11

65

85

100

38

Valle Antrona

Sx Aosta – M. Rosa – V. Anzasca

5

VB

1980

immigration

0

20

30

40

39

Veglia – Devero

V. Formazza – V. Grande

6

VB

1977

re-introduction

13

10

28

81

40

Alpi Lepontine

Alpi Lepontine

7

SO-CO

1996

re/immigration

20

0

0

27

41

V. Bregaglia – Cranna-Acqua Fraggia

Alpi Lepontine

7

SO

1960

immigration

0

40

115

120

42

Val Masino – V. di Mello

Alpi Retiche – Bernina

8

SO

1984

re-introduction

32

21

40

70

43

Val Malenco – Sasso di Fora-Sasso Moro

Alpi Retiche – Bernina

8

SO

1984

immigration

0

14

60

80

44

A. Orobie – P. 3 Signori – M. Legnone

Alpi Orobie

9

LC-BG-SO

1989

re-introduction

29

0

83

190

45

A. Orobie: Fiumenero-V. Seriana

Alpi Orobie

9

BG-SO

1987

re-introduction

61

0

177

300

46

Sperella – Viola – Redasco

Alpi Retiche – Ortles – Cevedale

12

SO

1970

immigration

0

35

85

88

47

Livigno – PNS

Alpi Retiche – Ortles – Cevedale

12

SO

1920

immigration

0

60

190

298

48

PNS – Valle di Fraele

Alpi Retiche – Ortles – Cevedale

12

SO

1992

re-introduction

15

0

21

50

49

PNS – Val Zebrù – Braulio

Alpi Retiche – Ortles – Cevedale

12

SO

1967

re-introduction

29

345

550

700

 

 

No. ibex

Colony size

IDcol

Colony name

Management Unit

IDmu

Prov

Born

Origin

released

1984-85

1994-95

2000

50

PNS –Umbrail – Stelvio

Alpi Retiche – Ortles – Cevedale

12

BZ

1973

immigration

0

30

10

10

51

PNS – Val di Rezzalo – Sobretta

Alpi Retiche – Ortles – Cevedale

12

SO

1987

re/immigration

19

0

29

20

52

PNS – Gavia – Sobretta

Alpi Retiche – Ortles – Cevedale

12

BS

1992

re-introduction

7

0

12

30

53

PNS – Val Canè – Serottini

Alpi Retiche – Ortles – Cevedale

12

BS-SO

1984

re-introduction

11

7

29

40

54

C. Baitone – V. del Miller

Adamello

10

BS

1995

re-introduction

24

0

10

60

55

Tredenus – Frisozzo

Adamello

10

BS-TN

1996

re-introduction

11

0

0

10

56

S. Valentino – Danerba

Adamello

10

TN-BS

1995

re-introduction

23

0

10

50

57

Val di Genova – V. Borzago

Adamello

10

TN

1998

re-introduction

24

0

0

9

58

Alto Garda – Tombea – Caplone

Brenta

11

BS

1989

re-introduction

5

0

22

40

59

Ultimo – Orecchia di Lepre

Alpi Retiche – Ortles - Cevedale

12

BZ-TN

1996

re-introduction

8

0

0

15

60

Sesvenna

Alpi Retiche - Ortles - Cevedale

12

BZ

1968

immigration

0

51

95

83

61

Palla Bianca - Weisskugel

V. Venosta - Brennero

13

BZ

1968

immigration

0

30

121

171

62

Tessa - Senales

V. Venosta - Brennero

13

BZ

1969

re/immigration

6

30

185

163

63

Tribulaun

V. Venosta - Brennero

13

BZ

1978

immigration

0

35

135

160

64

Val di Vizze - Pfitschertal

V. Pusteria

14

BZ

1971

immigration

0

3

8

17

65

Ponte di Ghiaccio - Eisbruggspitze

V. Pusteria

14

BZ

1983

re/immigration

20

5

35

24

66

Tauri - Tauern

V. Pusteria

14

BZ

1989

immigration

0

0

5

24

67

Cima Dura - Durreck

V. Pusteria

14

BZ

1985

immigration

0

0

30

21

68

Croda Rossa Croda del Becco

Dolomiti

15

BL-BZ

1975

re-introduction

17

28

55

70

69

Sella

Dolomiti

15

TN-BZ

1993

immigration

0

0

4

30

70

Monzoni - Marmolada

Dolomiti

15

TN-BL

1978

re-introduction

10

26

210

370

71

Pale di S.Martino

Dolomiti

15

TN-BL

2000

re-introduction

10

0

0

10

No. ibex

Colony size

IDcol

Colony name

Management Unit

IDmu

Prov

Born

Origin

released

1984-85

1994-95

2000

72

Sciliar

Dolomiti

15

BZ

1998

immigration

0

0

0

1

73

Antelao - Marmarole

Dolomiti

15

BL

1965

re-introduction

4

30

57

76

74

Col di Lana

Dolomiti

15

BL

1993

immigration

0

0

0

1

75

Tofane

Dolomiti

15

BL

1999

immigration

0

0

0

1

76

Dolomiti friulane

Alpi Carniche - Alpi Giulie

16

PN

1985

re-introduction

31

11

80

150

77

M.te Plauris

Alpi Carniche - Alpi Giulie

16

UD

1989

re-introduction

12

0

25

60

78

Tarvisio

Alpi Carniche - Alpi Giulie

16

UD

1978

re-introduction

38

29

60

240

79

Formazza

V. Formazza - V. Grande

6

VB

1998

immigration

0

0

0

8

80

Premia

V. Formazza - V. Grande

6

VB

1998

immigration

0

0

0

18

81

M. Giove

V. Formazza - V. Grande

6

VB

1998

immigration

0

0

0

4

82

Monte Serraglio

Alpi Retiche - Ortles - Cevedale

12

SO

1995

immigration

0

0

0

10

 

 

Table A.2 – Distribution, origin, size and evolution of Italian Alpine ibex colonies (1984-2000). "IDcol" is the identification number of each colony; "Colony size" is reported for three time intervals; "Management" shows where ibex are captured for re-introduction programmes, shot for culling reason, hunted or protected; "Source – Validation" lists people who supplied and validated the information on ibex colonies.

Colony size

IDcol

Colony name

1984-85

1994-95

2000

Distribution

Management

Source – Validation

1

Parco Naturale Alpi Marittime

409

475

552

V. Gesso, V. Rovine, V. di Trinità, Valdieri, Argentera, M. Matto, V. Meris

Captured

Canavese

2

Ciastella

20

25

30

Valle di Corborant, M. Laroussa, C. Collalunga, M. le Sterliere

Protected

Canavese

3

Valle Stura

24

24

24

Distribuzione puntiforme e frammentaria lungo tutta la destra orografica della V. Stura da V di S.Anna a Colle della Maddalena e V. Ischiator

Protected

Canavese

4

Oronaye

0

0

5

Testata tra Vallle Stura e Val Maira. M. Oronaye e V.ne Onerzio

Protected

 

5

Maurin

0

0

17

Dx orografica V. Maurin al confine con Francia

Protected

 

6

Chersogno

0

0

10

M. Chersogno, sx orografica V Maira

Protected

Meneguz-Dematteis

7

Alta Val Varaita

0

0

30

Alta Val Varaita. V.ne di S.Anna – Bellino C. Battagliola e Chianale – Roc di Niera, fino a Sampeyre – C Lobbie

Protected

Meneguz-Dematteis

8

Monviso-Val Pellice

20

100

140

Monviso, Alta Val Po – M. Granero, Alta V Pellice – Bric Bucie – C. la Croce, Pontechianale V. Varaita, M. Aiguillette. Scambi con PN Queyras

Protected

Giovo

9

P.ta Vergia – P. Cornour

6

0

0

Tra V Pellice e V Germanasca; Piz Cornour – P.ta Vergia

Protected

Giovo

 

 

 

Colony size

IDcol

Colony name

1984-85

1994-95

2000

Distribution

Management

Source – Validation

10

Germanasca – Massello – Troncea

15

78

150

Massiccio tra V Chisone, V Troncea e V Germanasca; Bric Rosso, Bric Ghininvert, M Barifreddo, P.ta Vergia; M Rognosa, M Appenna, V Argentiera sino a G. Queyron sul confine. Scambi con PN Queyras (FRA) e V Pellice

Protected

Giovo

11

Orsiera – Rocciavrè

0

5

16

M. Orsiera – M Rocciavrè – C. Robinet; sx orog V Chisone, dx orog V di Susa e Val Sangone

Protected

 

12

Roc del Boucher

13

0

0

Alta Val di Susa, prima del Sestriere; Val Thuras e Val Argentera, sul Roc del Boucher

Protected

Meneguz

13

M. Levi - C. Vallonetto

30

60

70

Sx orog media Val di Susa; tra M. Levi e C. Vallonetto

Protected

Meneguz

14

Rocciamelone - Lera

15

40

40

Rocciamelone, Moncenisio

Protected

Meneguz

15

Valli di Lanzo

70

437

997

Val Viù: M Lera, P.ta Corna, Mtorre Ovarda, Croce Rossa, M Ciorneva; Val d'Ala: Uia di Ciaramella, Uia di Modrone, Cellerina P.ta Rossa; Val Grande: C. Monfrè, Levanna, Corno Bianco, Col Girard, Cima Piccola, Uia di Mombran

Captured

Borgo

16

PNGPGPNP - Valle dell'Orco

595

669

595

 

Captured

Bassano

17

PNGPGPNP - Val Soana

170

168

170

 

Captured

Bassano

18

PNGPGPNP - Val di Cogne

1297

1297

1297

 

Captured

Bassano

19

PNGPGPNP - Valsavarenche

1407

1407

1407

 

Captured

Bassano

20

PNGPGPNP - Val di Rhemes

541

541

541

 

Captured

Bassano

21

Clavalité - Champocer

80

273

251

V. Clavalité, P. Tersiva, V. Fenis, Dondenaz - Champocher), M. Glacier, (M. Avic e Parco?)

Protected

Bertieux

 

Colony size

IDcol

Colony name

1984-85

1994-95

2000

Distribution

Management

Source – Validation

22

Valle di S. Marcel - Riserva Grand Avert

35

133

172

V. S.Marcel, Petite/Grande Roise, Becca Salè, M. Emilius? M. Grauson?

Protected

Bertieux

23

Sx Valle di Rhemes - V. Grisenche

157

331

260

Sx orogr V. di Rhemes, AFV Conte Rossi, Gr. Rousse, B.ca di Tos

Protected

Bertieux

24

Rutor - Val Grisenche

0

127

95

Oasi di Rutor, Leseney, Plontaz; Sx V. Grisanche, Rutor, M. Paramont, M. Ormelune

Protected

Bertieux

25

La Thuille - Piccolo S.Bernardo

0

0

0

10 capi nel '75; estinta

Protected

Bertieux

26

Val Veny - Val Ferret

25

100

225

Tutta la parte nord di V. Veny e V. Ferret; compresa l'AFV Monte Bianco

Protected

Bertieux

27

Gr. Rochere - Golliaz

25

65

55

Grande Rochere, M. Cormet, La Saxe, Comba di Liconi, Gran Golliaz, 'V. del Gran S. Bernardo, Etroubles

Protected

Bertieux

28

M. Fallère

0

36

40

M. Fallère, Croix de Chaligne

Protected

Bertieux

29

Gran S. Bernardo

20

50

110

Valle del Gran S. Bernardo: M. Dronaz, M. Mort, Pain de Sucre, C. Menouve, M. Velan, St. Rhemy

Protected

Bertieux

30

Ollomont - Valpelline

40

282

281

V. di Ollomont, M. Avril, M. Morion, Dx orog Valpelline fino a M. Braulé

Protected

Bertieux

31

La Granda - Luseney - Dx Tournanche

63

225

424

Dx orografica V. Tournanche e cresta che la divide da Valpelline; Tsaat a l'etsena, M. Faroma; Chateaux des Dames; Luseney, M. Morion

Protected

Bertieux

32

Ayas - Gr. Tournalin - M. Bettaforca

106

309

323

Alta V. d'Ayas (Champoluc); testata e dx orog; Breithorn, Gr. Tourmalin

Protected

Bertieux

33

M. Zerbion

0

14

36

M. Zerbion

Protected

Bertieux

Colony size

IDcol

Colony name

1984-85

1994-95

2000

Distribution

Management

Source – Validation

34

Gressoney - C. Rosso - C. Bianco

70

89

101

sx orog V. Gressoney; Ciampa, Trista, Corno Bianco

Protected

Bertieux

35

M. Nery

0

6

25

Dx orog bassa V Gressoney; M. Nery

Protected

Bertieux

36

Valsesia

113

280

600

Valle Vogna, Valle Otro, Corno Bianco, M. Rosa, M. Tagliaferro, Alagna, Carcoforo, P.zo Montevecchio, fino a Fobello

Protected

Bergamo

37

Macugnaga - Valle Anzasca

65

85

100

P.zzo Bianco, Cima di Iazzi, M. Moro, Oasi M. Rosa

Protected

Bassano

38

Valle Antrona

20

30

40

P.zzo di Saas, P.zo Bottarello, P.zo Montalto, P. Turiggia; Valle Antrona e V. Bognanco

Protected

Bionda

39

Veglia - Devero

10

28

81

M. Leone, P. Mottiscia, P.Boccareccio, M. Cervandone, P.zo di Valdeserta

Protected

Bionda

40

Alpi Lepontine

0

0

27

V. del Dosso, M. Duria, V. di Livo, V. Bares, V. Bodengo, Strem

Protected

Ferloni - Vanotti

41

V. Bregaglia - Cranna-Acqua Fraggia

40

115

120

Cranna, Carmezzano, Acqua Fraggia, P.zo Galleggione, P.zo Sommavalle, V. di Lei, M. te dei Forni, Valle Mola, M. Saragiolo, Sommasassa, Groppera, Pizzo Peloso

Protected

Ferloni - Vanotti

42

Val Masino – V. di Mello

21

40

70

Val di Mello, Val Torrone, Valle del Ferro, Valle Zocca, Valle Pioda, Val Porcellizzo

Protected

Ferloni – Vanotti

43

Val Malenco – Sasso di Fora-Sasso Moro

14

60

80

1 sito: Monte dell’oro, Chiareggio, P.so Muretto, P.so Tremoggia Sasso di Fora; 2 sito: Sasso Moro, M. Forbici

Protected

Ferloni – Vanotti

44

A. Orobie – P. 3 Signori – M. Legnone

0

83

190

M. Legnone, P.zo Alto, P.zzo dei 3 Signori, Val Bona

Protected

Pedrotti

 

Colony size

IDcol

Colony name

1984-85

1994-95

2000

Distribution

Management

Source – Validation

45

A. Orobie: Fiumenero-V. Seriana

0

177

300

P. Redorta, P. Coca, Barbellino, V. Morta, P. Recastello, C. Soliva, P.zo del Diavolo, M. Aga, P. Ceppo, V. Grabiasca

Protected

Pedrotti

46

Sperella – Viola – Redasco

35

85

88

Val Grosina, Val Viola – C.no Dosdè, C.ma Soaseo, Vetta Sperella, Val di Sacco, Valle di Avedo, Sasso di Conca, Cima Redasco, Cima de’ Piazzi

Protected

Ferloni – Vanotti

47

Livigno – PNS

60

190

298

Val Cantone, Valle delle Mine, Val Nera, Val di Campo, Valle del Fieno, Valle del Monte, Valle Forcola, Val Saliente, Val Federia, Val Viera, Val Trenzeira, C. del Fopel, Punta dell’acqua, M. Serra con PNS

Captured

Ferloni – Vanotti – Pedrotti

48

PNS – Valle di Fraele

0

21

50

Valle Alpisella, Cime di Plator, Cancano, M. Sumbraida, P.so Foscagno, Val Pila, Canal Torto, Val Pettini, Valle del Gallo

Protected

Ferloni – Vanotti – Pedrotti

49

PNS – Val Zebrù – Braulio

345

550

700

Val Zebrù, Valle dei Forni, M. Cristallo, Cresta di Reit, V. del Braulio

Captured

Pedrotti

50

PNS –Umbrail – Stelvio

30

10

10

M. Cavallaccio, P.zo Forcola, V. Trafoi

Protected

Pedrotti

51

PNS – Val di Rezzalo – Sobretta

0

29

20

V. Rezzalo, M. Sobretta

Protected

Pedrotti

52

PNS – Gavia – Sobretta

0

12

30

Passo Gavia, Corno dei 3 Signori, Val Savoretta

Protected

Pedrotti

53

PNS - Val Canè - Serottini

7

29

40

V. Canè, Pietra Rossa, Serottini

Protected

Pedrotti

54

C. Baitone - V. del Miller

0

10

60

Conca del Baitone, Corni di Durello, Valrossa, Valle del Miller, Corno del Miller, Val Salarno, M. Marser, Val Adamè, Val d'Avio e Aviolo

Protected

Pedrotti

 

 

Colony size

IDcol

Colony name

1984-85

1994-95

2000

Distribution

Management

Source – Validation

55

Tredenus - Frisozzo

0

0

10

Val Paghera, Conca del Volano, M. Sablunera, Val Dois, Cima Mezzamalga, M. Listino, al d'Arno, M. Recastello, Val Danerba

Protected

Pedrotti

56

S. Valentino - Danerba

0

10

50

V. Borzago, V. S.Valentivo, V. Breguzzo, V. Daone - Danerba, M. Recastello

Protected

Mustoni

57

Val di Genova - V. Borzago

0

0

9

Val di Lares, Mandrone, C. Busazza, C. Presanella, Ago di Nardis

Protected

Mustoni

58

Alto Garda - Tombea - Caplone

0

22

40

Alto Garda Bresciano, M.te Tombea, M. Caplone

Protected

Boscaini

59

Ultimo - Orecchia di Lepre

0

0

15

Gioveretto, P.so di Soy, Orecchia di Lepre, Saent

Protected

Carmignola

60

Sesvenna

51

95

83

P. Lad, P. Russenna, C. Grion, P. Sesvenna, Val Slingia, Val di Laudes, Urtiola, V. Monastero

Hunted

Carmignola

61

Palla Bianca - Weisskugel

30

121

171

P. Clopai, Valle Lunga, Palla Bianca, P.so Planol, C. Dentrovalle, P. Valbella, P. Saldura, Val Planol, Val Mazia

Hunted

Carmignola

62

Tessa - Senales

30

185

163

M. Re, M. Principe, C. delle Anime, l'Altissima, C. Fiammante, Gigat, C di Quairas, Similaun, P. di Finale, Giogo Alto, Val di Plan, Val di Fosse, Val Senales, P.so del Rombo

Hunted

Carmignola

63

Tribulaun

35

135

160

Tribulaun, V. di Fleres, V. Ridanna, M. Alto, C. di Tempo, C. Libera, Pan di Zucchero, C. di Malavalle, Alpi di Stubai

Hunted

Carmignola

64

Val di Vizze - Pfitschertal

3

8

17

Croda alta, La Gerla

Protected

Carmignola

 

 

 

Colony size

IDcol

Colony name

1984-85

1994-95

2000

Distribution

Management

Source – Validation

65

Ponte di Ghiaccio - Eisbruggspitze

5

35

24

P.ta Rossa, Gran Pilastro, Scoglio rosso, Mesule, Cima di Campo, Sasso Nero, Val di Fundres, Val Selva dei Molini, Val di Rio Bianco

Hunted

Carmignola

66

Tauri - Tauern

0

5

24

M. Fumo, P.co dei 3 Signori, Vetta d'Italia

Hunted

Carmignola

67

Cima Dura - Durreck

0

30

21

C. Dura, P. Palù, Val di Riva, Valle Aurina

Hunted

Carmignola

68

Croda Rossa Croda del Becco

28

55

70

Seekofel, Croda del Becco, Croda Rossa, Fanes, Sennes

Hunted

Carmignola

69

Sella

0

4

30

Val Lasties, P.so Sella, Mesule

Protected

Brugnoli

70

Monzoni - Marmolada

26

210

370

Monzoni, Ort, Col Ombert, P.so Cirelle, C.me dell’Auta, Marmolada, Ombretta

Hunted

Brugnoli

71

Pale di S.Martino

0

0

10

 

Protected

Partel

72

Sciliar

0

0

1

P.so Molignon

Protected

Carmignola

73

Antelao - Marmarole

30

57

76

M. Antelao, G.ppo Marmarole, M.te Oten

Protected

Debattisti

74

Col di Lana

0

0

1

 

Protected

Debattisti

75

Tofane

0

0

1

 

Protected

Debattisti

76

Dolomiti friulane

11

80

150

M.te Turlon - M.te Vacalizza - M.te Pramaggiore, M. Duranno, M. Lodina, M. Cridola?

Protected

Genero

77

M.te Plauris

0

25

60

M.te Plauris, M.te Lavara, Cima di Cervada

Protected

Genero

 

Colony size

IDcol

Colony name

1984-85

1994-95

2000

Distribution

Management

Source – Validation

78

Tarvisio

29

60

240

M.te Cacciatore, Iof Fuart, Montasio, Cimone

Protected

 

79

Formazza

0

0

8

 

Protected

Pompilio

80

Premia

0

0

18

 

Protected

Pompilio

81

M. Giove

0

0

4

M. Giove

Protected

Bionda

82

Monte Serraglio

0

0

10

Monte Serraglio

Protected

Ferloni - Vanotti