Detailed model of shelter areas for the Cantabrian brown bear

Garcı́a, Pilar; Lastra, Javier; Marquínez, J.; Nores, Carlos

doi:10.1016/j.ecoinf.2007.08.003

Cited by 53 publications

(11 citation statements)

References 39 publications

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“…3). This was similar to findings reported in Van Daele et al (1990), Groff et al (1998), Petram et al (2004, and Garcia et al (2007), who reported that terrain was the most important variable affecting winter den-site selection. The steeper slopes that bears selected for den sites may have reflected selection for sites with limited potential for disturbance.…”

Section: Discussionsupporting

confidence: 90%

Brown Bear Den Habitat and Winter Recreation in South‐Central Alaska

Goldstein¹,

Poe

Suring³

et al. 2010

J Wildl Manag

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Increasing demand for backcountry recreation opportunities during winter (e.g., snowshoeing, helicopter-assisted skiing, snowmobiling) in steep, high-elevation terrain has elevated concern about disturbance to brown bears (Ursus arctos) denning on the Kenai Peninsula, Alaska, USA. To help identify areas where such conflicts might occur, we developed a spatially explicit model to predict potential den habitat. The model indicated brown bears selected locations for den sites with steep slopes, away from roads and trails. Den sites were associated with habitat high in elevation and away from potential human contact. We then compared areas with the highest probability of providing den habitat with patterns of snowmobile and nonmotorized recreation on a portion of the Kenai Peninsula. We found limited overlap between the 2 recreation activities and potential den habitat for brown bears. At the landscape scale, however, backcountry skiing overlapped more high-quality den habitat than did snowmobile riding. Our results may be used by land management agencies to identify potential conflict sites and to minimize the potential effects of recreation activities on brown bears in dens.

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Section: Discussionsupporting

confidence: 90%

Brown Bear Den Habitat and Winter Recreation in South‐Central Alaska

Goldstein¹,

Poe

Suring³

et al. 2010

J Wildl Manag

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“…It is important to note that most previous research on the habitat use of this species employed single-scale analysis, often using 1 km extents (e.g. Nielsen et al 2006, García et al 2007, Kořen et al 2011.While the multiscale model output map markedly showed the two population core habitat areas to be associated with the current species range, the local single-scale model (1 km) (Figure 4a) failed to clearly discriminate these cores. The 1 km unscaled model overpredicted the probability of brown bear on less optimal habitat, whereas it underpredicted the probability of occurrence in areas currently occupied by brown bear.…”

Section: Performance and Spatial Patterns Of Scaled And Unscaled Habimentioning

confidence: 95%

“…Brown bear in northwest Spain occurs in two small, largely isolated and endangered subpopulations, with a total estimated number of individuals below 200 (Palomero et al 2007). This isolation is usually attributed to increasing human pressure and to the loss of suitable habitat (Naves and Palomero 1993, Wiegand et al 1998, García et al 2007). The brown bear has been protected in Spain for over three decades and much of the known range of the species falls within different protected areas such as European Nature 2000 Network, Natural Parks, and the Recovery Plans of each of the Regional Institutions involved in its management.…”

Section: Introductionmentioning

confidence: 99%

Scale dependence in habitat selection: the case of the endangered brown bear (Ursus arctos) in the Cantabrian Range (NW Spain)

Sánchez

Cushman

Saura

2013

International Journal of Geographical Information Science

146

109

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Animals select habitat resources at multiple spatial scales. Thus, explicit attention to scale dependency in species-habitat relationships is critical to understand the habitat suitability patterns as perceived by organisms in complex landscapes. Identification of the scales at which particular environmental variables influence habitat selection may be as important as the selection of variables themselves. In this study, we combined bivariate scaling and Maximum entropy (Maxent) modeling to investigate multiscale habitat selection of endangered brown bear (Ursus arctos) populations in northwest Spain. Bivariate scaling showed that the strength of apparent habitat relationships was highly sensitive to the scale at which predictor variables are evaluated. Maxent models on the optimal scale for each variable suggested that landscape composition together with human disturbances was dominant drivers of bear habitat selection, while habitat configuration and edge effects were substantially less influential. We found that explicitly optimizing the scale of habitat suitability models considerably improved single-scale modeling in terms of model performance and spatial prediction. We found that patterns of brown bear habitat suitability represent the cumulative influence of habitat selection across a broad range of scales, from local resources within habitat patches to the landscape composition at broader spatial scales.

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“…Because core areas usually consist of rich food patches and/or refuges (e.g., Plowman et al 2006;Garcia et al 2007), they mark 'hotspots' of high-quality habitat within the home range (Lindstedt et al 1986;van der Ree et al 2001). Core area delineation is therefore fundamental for understanding the behavioral ecology for any given species, as core areas represent locations on which the sustainability of the population depends (Leuthold 1977).…”

Section: Introductionmentioning

confidence: 99%

Variability in core areas of spider monkeys (Ateles geoffroyi) in a tropical dry forest in Costa Rica

2011

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Core areas are highly used parts of the home range on which the survival of solitary or group-living animals depends. We investigated the home range and core area size and area fidelity of a spider monkey community in a tropical dry forest over a 4-year period. Home ranges overlapped extensively across years, subgroup sizes, and seasons. In contrast, spider monkeys used core areas that varied in size and location across the study years, subgroup sizes, and seasons. These shifts in core areas suggest that the understanding of core areas, and thus the spatial requirements, of a species in a particular habitat may be limited if based on short-term studies. In this respect, our findings emphasize the importance of long-term studies of the spatial ecology of any species in a particular habitat. Our study also shows that the yearly home range basically includes all the core areas from different years, seasons, and subgroup sizes (i.e., the super-core area). This is conceptually important for territorial species, such as spider monkeys, which defend a stable home range as it contains not only the current, but also the future core areas.

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Detailed model of shelter areas for the Cantabrian brown bear

Cited by 53 publications

References 39 publications

Brown Bear Den Habitat and Winter Recreation in South‐Central Alaska

Brown Bear Den Habitat and Winter Recreation in South‐Central Alaska

Scale dependence in habitat selection: the case of the endangered brown bear (Ursus arctos) in the Cantabrian Range (NW Spain)

Variability in core areas of spider monkeys (Ateles geoffroyi) in a tropical dry forest in Costa Rica

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