Brown bear habitat suitability in the Pyrenees: transferability across sites and linking scales to make the most of scarce data
1. Identification of suitable habitats for small, endangered populations is important to preserve key areas for potential augmentation. However, replicated spatial data from a sufficient number of indi- viduals are often unavailable for such populations, leading to unreliable habitat models. This is th...
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Online Access: | http://hdl.handle.net/10261/51723 https://doi.org/10.1111/j.1365-2664.2012.02139.x |
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ftcsic:oai:digital.csic.es:10261/51723 2024-02-11T10:09:19+01:00 Brown bear habitat suitability in the Pyrenees: transferability across sites and linking scales to make the most of scarce data Martin, Jodie Revilla, Eloy Quenette, Pierre-Yves Naves, Javier Allaine, Dominique Swenson, Jon E. 2012 http://hdl.handle.net/10261/51723 https://doi.org/10.1111/j.1365-2664.2012.02139.x en eng http://dx.doi.org/10.1111/j.1365-2664.2012.02139.x Journal of Applied Ecology 2012, 49, 621–631 http://hdl.handle.net/10261/51723 doi:10.1111/j.1365-2664.2012.02139.x open attractive sink habitat Cantabrian mountains Carnivore conservation habitat model nested scales Pyrenees Mountains Source habitat spatial scale transferability Ursus arctos artículo http://purl.org/coar/resource_type/c_6501 2012 ftcsic https://doi.org/10.1111/j.1365-2664.2012.02139.x 2024-01-16T09:38:43Z 1. Identification of suitable habitats for small, endangered populations is important to preserve key areas for potential augmentation. However, replicated spatial data from a sufficient number of indi- viduals are often unavailable for such populations, leading to unreliable habitat models. This is the case for the endangered Pyrenean brown bear Ursus arctos population, with only about 20 individu- als surviving in two isolated groups. 2. We conducted habitat suitability analyses at two spatial scales (coarse and local). Given the lim- ited available data, we used information from the nearby Cantabrian brown bear population in Spain to develop a two-dimensional model (human and natural variables) at a coarse scale, based on logistic regression, which we applied in the Pyrenees. At a local scale, we used bear presence in the Pyrenees to describe the population’s ecological niche and develop a habitat suitability model using presence-only methods. We combined these models to obtain a more integrative understand- ing of bear requirements. 3. The coarse-scale model showed a good transferability to the Pyrenees, identifying preference for areas with high forest connectivity, masting trees, rugged terrain and shrubs and avoidance of areas with anthropogenic structures. The local-scale model was consistent with the coarse-scale model. Bears showed a trade-off between food resources (scarcer at high elevations) and human presence (higher at low elevations). 4. Our models illustrated that there is unoccupied good habitat for bears in the Pyrenees that could host new individuals. Combining two scales allowed us to identify areas that should be prioritized for management actions and also those that should be easier to manage for bears. 5. Synthesis and applications. Our study illustrates how a nested-scale approach, combining coarse data from a different population and fine-scale local data, can aid in the management of small popu- lations with limited data. This was applied to remnant brown bear populations to identify ... Article in Journal/Newspaper Ursus arctos Digital.CSIC (Spanish National Research Council) Journal of Applied Ecology no no |
institution |
Open Polar |
collection |
Digital.CSIC (Spanish National Research Council) |
op_collection_id |
ftcsic |
language |
English |
topic |
attractive sink habitat Cantabrian mountains Carnivore conservation habitat model nested scales Pyrenees Mountains Source habitat spatial scale transferability Ursus arctos |
spellingShingle |
attractive sink habitat Cantabrian mountains Carnivore conservation habitat model nested scales Pyrenees Mountains Source habitat spatial scale transferability Ursus arctos Martin, Jodie Revilla, Eloy Quenette, Pierre-Yves Naves, Javier Allaine, Dominique Swenson, Jon E. Brown bear habitat suitability in the Pyrenees: transferability across sites and linking scales to make the most of scarce data |
topic_facet |
attractive sink habitat Cantabrian mountains Carnivore conservation habitat model nested scales Pyrenees Mountains Source habitat spatial scale transferability Ursus arctos |
description |
1. Identification of suitable habitats for small, endangered populations is important to preserve key areas for potential augmentation. However, replicated spatial data from a sufficient number of indi- viduals are often unavailable for such populations, leading to unreliable habitat models. This is the case for the endangered Pyrenean brown bear Ursus arctos population, with only about 20 individu- als surviving in two isolated groups. 2. We conducted habitat suitability analyses at two spatial scales (coarse and local). Given the lim- ited available data, we used information from the nearby Cantabrian brown bear population in Spain to develop a two-dimensional model (human and natural variables) at a coarse scale, based on logistic regression, which we applied in the Pyrenees. At a local scale, we used bear presence in the Pyrenees to describe the population’s ecological niche and develop a habitat suitability model using presence-only methods. We combined these models to obtain a more integrative understand- ing of bear requirements. 3. The coarse-scale model showed a good transferability to the Pyrenees, identifying preference for areas with high forest connectivity, masting trees, rugged terrain and shrubs and avoidance of areas with anthropogenic structures. The local-scale model was consistent with the coarse-scale model. Bears showed a trade-off between food resources (scarcer at high elevations) and human presence (higher at low elevations). 4. Our models illustrated that there is unoccupied good habitat for bears in the Pyrenees that could host new individuals. Combining two scales allowed us to identify areas that should be prioritized for management actions and also those that should be easier to manage for bears. 5. Synthesis and applications. Our study illustrates how a nested-scale approach, combining coarse data from a different population and fine-scale local data, can aid in the management of small popu- lations with limited data. This was applied to remnant brown bear populations to identify ... |
format |
Article in Journal/Newspaper |
author |
Martin, Jodie Revilla, Eloy Quenette, Pierre-Yves Naves, Javier Allaine, Dominique Swenson, Jon E. |
author_facet |
Martin, Jodie Revilla, Eloy Quenette, Pierre-Yves Naves, Javier Allaine, Dominique Swenson, Jon E. |
author_sort |
Martin, Jodie |
title |
Brown bear habitat suitability in the Pyrenees: transferability across sites and linking scales to make the most of scarce data |
title_short |
Brown bear habitat suitability in the Pyrenees: transferability across sites and linking scales to make the most of scarce data |
title_full |
Brown bear habitat suitability in the Pyrenees: transferability across sites and linking scales to make the most of scarce data |
title_fullStr |
Brown bear habitat suitability in the Pyrenees: transferability across sites and linking scales to make the most of scarce data |
title_full_unstemmed |
Brown bear habitat suitability in the Pyrenees: transferability across sites and linking scales to make the most of scarce data |
title_sort |
brown bear habitat suitability in the pyrenees: transferability across sites and linking scales to make the most of scarce data |
publishDate |
2012 |
url |
http://hdl.handle.net/10261/51723 https://doi.org/10.1111/j.1365-2664.2012.02139.x |
genre |
Ursus arctos |
genre_facet |
Ursus arctos |
op_relation |
http://dx.doi.org/10.1111/j.1365-2664.2012.02139.x Journal of Applied Ecology 2012, 49, 621–631 http://hdl.handle.net/10261/51723 doi:10.1111/j.1365-2664.2012.02139.x |
op_rights |
open |
op_doi |
https://doi.org/10.1111/j.1365-2664.2012.02139.x |
container_title |
Journal of Applied Ecology |
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1790609165260947456 |