Testing landscape resistance layers and modeling connectivity for wolverines in the western United States

In the conterminous United States, wolverines (Gulo gulo) occupy semi-isolated patches of high elevation subalpine habitats at naturally low densities. The long-term success of the wolverine metapopulation requires open space in valley bottoms that link the mountain ranges of the western US to facil...

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Main Authors: Kathleen A. Carroll, Andrew J. Hansen, Robert M. Inman, Rick L. Lawrence, Andrew B. Hoegh
Format: Article
Language:English
Published: Elsevier 2020-09-01
Series:Global Ecology and Conservation
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2351989419308935
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spelling doaj-7d29488b439e42fdaa8ca2f75a7f70cf2020-11-25T03:00:39ZengElsevierGlobal Ecology and Conservation2351-98942020-09-0123Testing landscape resistance layers and modeling connectivity for wolverines in the western United StatesKathleen A. Carroll0Andrew J. Hansen1Robert M. Inman2Rick L. Lawrence3Andrew B. Hoegh4Montana State University, Department of Ecology, Bozeman, MT, USA; Corresponding author.Montana State University, Department of Ecology, Bozeman, MT, USAMontana Fish, Wildlife and Parks, Helena, MT, USAMontana State University, Department of Land Resources and Environmental Sciences, Bozeman, MT, USAMontana State University, Department of Mathematical Sciences, Bozeman, MT, USAIn the conterminous United States, wolverines (Gulo gulo) occupy semi-isolated patches of high elevation subalpine habitats at naturally low densities. The long-term success of the wolverine metapopulation requires open space in valley bottoms that link the mountain ranges of the western US to facilitate dispersal. No previous analysis has used empirical data to determine the degree to which dispersing wolverines are sensitive, or not, to differences in habitat quality outside of areas suitable for a home range. This sensitivity is important because it influences conservation actions. Improving wolverine habitat connectivity models among mountain ranges will benefit future wolverine conservation aimed at maintaining gene flow among populations. To determine how to most accurately model wolverine habitat connectivity, we used a resource selection function to model habitat and then generated six circuit theory connectivity maps. Each connectivity map represented a degree of sensitivity to movement within low-quality habitats. We used three validation metrics to compare these different connectivity surfaces and determine which layer best approximated observed wolverine dispersal using relocation data. We found that a strong negative logistic exponential relationship between habitat quality and resistance best described observed wolverine dispersal (c = 8). This suggests that once outside of habitat suitable for a home range, wolverines are only moderately sensitive to changes in habitat quality. However, we found that there is still some lower threshold of dispersal habitat quality for wolverines, as dispersing wolverines follow lower-resistance pathways that connect high-quality habitat and do not move indiscriminately across the landscape. Our results highlight the need to disentangle dispersal data from home range data through validation using dispersal data. Our findings also indicate that the validation of connectivity metrics is an essential component of conservation planning to best support the persistence of species.http://www.sciencedirect.com/science/article/pii/S2351989419308935ConnectivityWolverineCircuit theoryPathwayCarnivoreAnimal movement
collection DOAJ
language English
format Article
sources DOAJ
author Kathleen A. Carroll
Andrew J. Hansen
Robert M. Inman
Rick L. Lawrence
Andrew B. Hoegh
spellingShingle Kathleen A. Carroll
Andrew J. Hansen
Robert M. Inman
Rick L. Lawrence
Andrew B. Hoegh
Testing landscape resistance layers and modeling connectivity for wolverines in the western United States
Global Ecology and Conservation
Connectivity
Wolverine
Circuit theory
Pathway
Carnivore
Animal movement
author_facet Kathleen A. Carroll
Andrew J. Hansen
Robert M. Inman
Rick L. Lawrence
Andrew B. Hoegh
author_sort Kathleen A. Carroll
title Testing landscape resistance layers and modeling connectivity for wolverines in the western United States
title_short Testing landscape resistance layers and modeling connectivity for wolverines in the western United States
title_full Testing landscape resistance layers and modeling connectivity for wolverines in the western United States
title_fullStr Testing landscape resistance layers and modeling connectivity for wolverines in the western United States
title_full_unstemmed Testing landscape resistance layers and modeling connectivity for wolverines in the western United States
title_sort testing landscape resistance layers and modeling connectivity for wolverines in the western united states
publisher Elsevier
series Global Ecology and Conservation
issn 2351-9894
publishDate 2020-09-01
description In the conterminous United States, wolverines (Gulo gulo) occupy semi-isolated patches of high elevation subalpine habitats at naturally low densities. The long-term success of the wolverine metapopulation requires open space in valley bottoms that link the mountain ranges of the western US to facilitate dispersal. No previous analysis has used empirical data to determine the degree to which dispersing wolverines are sensitive, or not, to differences in habitat quality outside of areas suitable for a home range. This sensitivity is important because it influences conservation actions. Improving wolverine habitat connectivity models among mountain ranges will benefit future wolverine conservation aimed at maintaining gene flow among populations. To determine how to most accurately model wolverine habitat connectivity, we used a resource selection function to model habitat and then generated six circuit theory connectivity maps. Each connectivity map represented a degree of sensitivity to movement within low-quality habitats. We used three validation metrics to compare these different connectivity surfaces and determine which layer best approximated observed wolverine dispersal using relocation data. We found that a strong negative logistic exponential relationship between habitat quality and resistance best described observed wolverine dispersal (c = 8). This suggests that once outside of habitat suitable for a home range, wolverines are only moderately sensitive to changes in habitat quality. However, we found that there is still some lower threshold of dispersal habitat quality for wolverines, as dispersing wolverines follow lower-resistance pathways that connect high-quality habitat and do not move indiscriminately across the landscape. Our results highlight the need to disentangle dispersal data from home range data through validation using dispersal data. Our findings also indicate that the validation of connectivity metrics is an essential component of conservation planning to best support the persistence of species.
topic Connectivity
Wolverine
Circuit theory
Pathway
Carnivore
Animal movement
url http://www.sciencedirect.com/science/article/pii/S2351989419308935
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