A wolf habitat suitability prediction study in Valais (Switzerland)

Glenz, Christian; Massolo, Alessandro; Kuonen, Diego; Schlaepfer, Rodolphe

doi:10.1016/s0169-2046(01)00119-0

Cited by 73 publications

(72 citation statements)

References 14 publications

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“…Although the projections recreates realistically the known cork oak regeneration patters occurring in montado regions, some limitations arise when considering validation as a fundamental process to assess the relative accuracy of the model response facing independent real data (Rykiel, 1996). The validation of the predictions was not possible in this study due to the impracticality of an immediate validation of future scenarios, which can only be done after several years of collecting relevant site-specific information under well-known local environmental conditions (Glenz et al, 2001;Chaloupka, 2002).…”

Section: Future Perspectivesmentioning

confidence: 99%

Long-term sustainability of cork oak agro-forests in the Iberian Peninsula: A model-based approach aimed at supporting the best management options for the montado conservation

Arosa

Bastos

Cabral

et al. 2017

Ecological Modelling

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a b s t r a c tThe future of the montado, a human shaped agro-forestry ecosystem of South Western Europe, is questioned due to the observed lack of cork oak health and low natural regeneration. We developed a System Dynamics Modelling approach to predict the long-term sustainability of this agro-forest, by recreating cork-oak population dynamics, management practices and the main environmental and biological constrains associated with this ecosystem. Our results indicate that the leading limitations to cork oak regeneration in montado ecosystems result from the intensity and interaction of land management practices, namely livestock and the use of heavy machinery. The main conclusions indicate that limiting the quantity of livestock up to 0.40 LU.ha −1 , and considering soil ploughing with a minimum periodicity of 5 years, are crucial to maintaining sustainable cork oak populations. This study represents a first step to support strategic options for cork oak montado management by providing projections of long-term population trends under realistic social-ecological change scenarios.

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Section: Future Perspectivesmentioning

confidence: 99%

Long-term sustainability of cork oak agro-forests in the Iberian Peninsula: A model-based approach aimed at supporting the best management options for the montado conservation

Arosa

Bastos

Cabral

et al. 2017

Ecological Modelling

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“…In Europe, areas suitable for the wolf are located mostly in the montane regions (Masolo and Meriggi 1998, Glenz et al 2001, Salvatori et al 2002a, b, Ciucci et al 2003. In such regions, climatic and geomorphologic conditions are less appropriate for economic development, so human disturbance is relatively low and abundance of prey and forest cover is usually high (Promberger et al 2000).…”

Section: Introductionmentioning

confidence: 99%

Habitat selection by wolvesCanis lupus in the uplands and mountains of southern Poland

Jędrzejewski

Niedziałkowska

Mysłajek³

et al. 2005

Acta Theriol

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2005. Habitat selection by wolves Canis lupus in the uplands and mountains of southern Poland. Acta Theriologica 50: 417-428.Using data from the National Wolf Census, carried out in Poland in 2000-2001, and GIS techniques we analysed habitat selection by wolves Canis lupus Linnaeus, 1758 in uplands and mountains of southern Poland. We compared ten habitat variables and two parameters related to wolf abundance in 52 circular plots (154 km 2 each) with recorded wolves and 97 randomly selected plots with no signs of wolf presence. Wolf plots were characterized by higher elevation and closer location to the state border than wolf-free plots. Furthermore, wolf plots had higher forest cover, but smaller number of villages and towns and shorter railways and roads than plots without wolves. The best model explaining wolf distribution included forest cover, number of villages, length of roads and railway lines. Compared to northern Poland, the southern part of the country offers worse habitats for wolves due to significantly denser network of settlements and transportation routes.

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“…In 2000 they analyzed suitable habitat for rhinoceros in Kazhiranga National Park (Kushwaha et al 2000) and for mountain goat in Rajaji National Park (Kushwaha et al 2001 Keating (2004) reviewed application and interpretation of logistic regression to promote better use of this method and suggested that it is an important tool for wildlife habitat-selection studies. Logistic regression was also used by Houts (2003) to model probable dispersion of wolves in near future, which were reintroduced into Yellowstone National Park and Central Idaho in 1995, whereas, Glenz et al (2001) predicted suitable habitat for wolf in Valais (Switzerland) using logistic regression. Hirzel et al (2001) used this geospatial technology to assess habitat suitability models for a virtual species in Bern Alps (Switzerland).…”

Section: Use Of Geospatial Technology For Analysis Of Habitat Suitabimentioning

confidence: 99%

Habitat suitability modelling for Gaur (Bos gaurus) using multiple logistic regression, remote sensing and GIS

Imam

Kushwaha

2013

Journal of Applied Animal Research

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The aim of this study is to produce georeferenced ecological information about the suitable habitats available for gaur Bos gaurus in Chandoli tiger reserve, India (178 04? 00ƒ N to 178 19? 54ƒ N and 738 40? 43ƒ E to 738 53? 09ƒ E). Habitat suitability index (H.S.I.) was developed using multiple logistic regression (MLR) integrated with remote sensing (RS) and geographic information system (GIS). Satellite imageries of study area, acquired from Indian remote sensing satellite-P6, linear imaging self-scanning satellite-III of 2005, was digitally processed, whereas topographic maps were used for generating the collateral data in a GIS framework. Various layers of different variables such as forest density, Landuse land cover, measures of proximity to disturbances and water resources and a digital terrain model were created from satellite and topographic data. These layers along with global positioning system location of gaur presence/absence and MLR technique were integrated in a GIS environment for modelling the H.S.

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A wolf habitat suitability prediction study in Valais (Switzerland)

Cited by 73 publications

References 14 publications

Long-term sustainability of cork oak agro-forests in the Iberian Peninsula: A model-based approach aimed at supporting the best management options for the montado conservation

Long-term sustainability of cork oak agro-forests in the Iberian Peninsula: A model-based approach aimed at supporting the best management options for the montado conservation

Habitat selection by wolvesCanis lupus in the uplands and mountains of southern Poland

Habitat suitability modelling for Gaur (Bos gaurus) using multiple logistic regression, remote sensing and GIS

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