Spatial Distribution of Black Bear Incident Reports in Michigan
Interactions between humans and carnivores have existed for centuries due to competition for food and space. American black bears are increasing in abundance and populations are expanding geographically in many portions of its range, including areas that are also increasing in human density, often r...
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description | Interactions between humans and carnivores have existed for centuries due to competition for food and space. American black bears are increasing in abundance and populations are expanding geographically in many portions of its range, including areas that are also increasing in human density, often resulting in associated increases in human-bear conflict (hereafter, bear incidents). We used public reports of bear incidents in Michigan, USA, from 2003-2011 to assess the relative contributions of ecological and anthropogenic variables in explaining the spatial distribution of bear incidents and estimated the potential risk of bear incidents. We used weighted Normalized Difference Vegetation Index mean as an index of primary productivity, region (i.e., Upper Peninsula or Lower Peninsula), primary and secondary road densities, and percentage land cover type within 6.5-km2 circular buffers around bear incidents and random points. We developed 22 a priori models and used generalized linear models and Akaike's Information Criterion (AIC) to rank models. The global model was the best compromise between model complexity and model fit (w = 0.99), with a ΔAIC 8.99 units from the second best performing model. We found that as deciduous forest cover increased, the probability of bear incident occurrence increased. Among the measured anthropogenic variables, cultivated crops and primary roads were the most important in our AIC-best model and were both positively related to the probability of bear incident occurrence. The spatial distribution of relative bear incident risk varied markedly throughout Michigan. Forest cover fragmented with agriculture and other anthropogenic activities presents an environment that likely facilitates bear incidents. Our map can help wildlife managers identify areas of bear incident occurrence, which in turn can be used to help develop strategies aimed at reducing incidents. Researchers and wildlife managers can use similar mapping techniques to assess locations of specific conflict types or to address human impacts on endangered species. |
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American black bears are increasing in abundance and populations are expanding geographically in many portions of its range, including areas that are also increasing in human density, often resulting in associated increases in human-bear conflict (hereafter, bear incidents). We used public reports of bear incidents in Michigan, USA, from 2003-2011 to assess the relative contributions of ecological and anthropogenic variables in explaining the spatial distribution of bear incidents and estimated the potential risk of bear incidents. We used weighted Normalized Difference Vegetation Index mean as an index of primary productivity, region (i.e., Upper Peninsula or Lower Peninsula), primary and secondary road densities, and percentage land cover type within 6.5-km2 circular buffers around bear incidents and random points. We developed 22 a priori models and used generalized linear models and Akaike's Information Criterion (AIC) to rank models. The global model was the best compromise between model complexity and model fit (w = 0.99), with a ΔAIC 8.99 units from the second best performing model. We found that as deciduous forest cover increased, the probability of bear incident occurrence increased. Among the measured anthropogenic variables, cultivated crops and primary roads were the most important in our AIC-best model and were both positively related to the probability of bear incident occurrence. The spatial distribution of relative bear incident risk varied markedly throughout Michigan. Forest cover fragmented with agriculture and other anthropogenic activities presents an environment that likely facilitates bear incidents. Our map can help wildlife managers identify areas of bear incident occurrence, which in turn can be used to help develop strategies aimed at reducing incidents. Researchers and wildlife managers can use similar mapping techniques to assess locations of specific conflict types or to address human impacts on endangered species.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0154474</identifier><identifier>PMID: 27119344</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Agricultural management ; Agriculture ; Animal behavior ; Animal populations ; Animals ; Anthropogenic factors ; Bears ; Biology and Life Sciences ; Black bear ; Carnivores ; Conservation of Natural Resources ; Deciduous forests ; Ecological monitoring ; Ecology and Environmental Sciences ; Ecosystem ; Endangered species ; Engineering and Technology ; Environmental protection ; Food ; Foraging behavior ; Forests ; Human influences ; Humans ; Laboratories ; Land cover ; Land use ; Landscape ecology ; Mammals ; Michigan ; Models, Theoretical ; Natural & organic foods ; Natural resources ; People and places ; Perceptions ; Property damage ; Psychological aspects ; Roads & highways ; Spatial Analysis ; Spatial distribution ; Statistical models ; Ursidae - physiology ; Ursus ; Ursus americanus ; Variables ; Vegetation index ; Wildlife ; Wildlife conservation ; Wildlife management</subject><ispartof>PloS one, 2016-04, Vol.11 (4), p.e0154474-e0154474</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-1f7c359ba7db7279671f2f60bd97a6ec57def5efc3c4d05572c112e0c9c645b23</citedby><cites>FETCH-LOGICAL-c692t-1f7c359ba7db7279671f2f60bd97a6ec57def5efc3c4d05572c112e0c9c645b23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4847767/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4847767/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27119344$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>McFadden-Hiller, Jamie E</creatorcontrib><creatorcontrib>Beyer, Jr, Dean E</creatorcontrib><creatorcontrib>Belant, Jerrold L</creatorcontrib><title>Spatial Distribution of Black Bear Incident Reports in Michigan</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Interactions between humans and carnivores have existed for centuries due to competition for food and space. American black bears are increasing in abundance and populations are expanding geographically in many portions of its range, including areas that are also increasing in human density, often resulting in associated increases in human-bear conflict (hereafter, bear incidents). We used public reports of bear incidents in Michigan, USA, from 2003-2011 to assess the relative contributions of ecological and anthropogenic variables in explaining the spatial distribution of bear incidents and estimated the potential risk of bear incidents. We used weighted Normalized Difference Vegetation Index mean as an index of primary productivity, region (i.e., Upper Peninsula or Lower Peninsula), primary and secondary road densities, and percentage land cover type within 6.5-km2 circular buffers around bear incidents and random points. We developed 22 a priori models and used generalized linear models and Akaike's Information Criterion (AIC) to rank models. The global model was the best compromise between model complexity and model fit (w = 0.99), with a ΔAIC 8.99 units from the second best performing model. We found that as deciduous forest cover increased, the probability of bear incident occurrence increased. Among the measured anthropogenic variables, cultivated crops and primary roads were the most important in our AIC-best model and were both positively related to the probability of bear incident occurrence. The spatial distribution of relative bear incident risk varied markedly throughout Michigan. Forest cover fragmented with agriculture and other anthropogenic activities presents an environment that likely facilitates bear incidents. Our map can help wildlife managers identify areas of bear incident occurrence, which in turn can be used to help develop strategies aimed at reducing incidents. Researchers and wildlife managers can use similar mapping techniques to assess locations of specific conflict types or to address human impacts on endangered species.</description><subject>Agricultural management</subject><subject>Agriculture</subject><subject>Animal behavior</subject><subject>Animal populations</subject><subject>Animals</subject><subject>Anthropogenic factors</subject><subject>Bears</subject><subject>Biology and Life Sciences</subject><subject>Black bear</subject><subject>Carnivores</subject><subject>Conservation of Natural Resources</subject><subject>Deciduous forests</subject><subject>Ecological monitoring</subject><subject>Ecology and Environmental Sciences</subject><subject>Ecosystem</subject><subject>Endangered species</subject><subject>Engineering and Technology</subject><subject>Environmental protection</subject><subject>Food</subject><subject>Foraging behavior</subject><subject>Forests</subject><subject>Human influences</subject><subject>Humans</subject><subject>Laboratories</subject><subject>Land cover</subject><subject>Land use</subject><subject>Landscape ecology</subject><subject>Mammals</subject><subject>Michigan</subject><subject>Models, Theoretical</subject><subject>Natural & organic foods</subject><subject>Natural resources</subject><subject>People and places</subject><subject>Perceptions</subject><subject>Property damage</subject><subject>Psychological aspects</subject><subject>Roads & highways</subject><subject>Spatial Analysis</subject><subject>Spatial distribution</subject><subject>Statistical models</subject><subject>Ursidae - 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American black bears are increasing in abundance and populations are expanding geographically in many portions of its range, including areas that are also increasing in human density, often resulting in associated increases in human-bear conflict (hereafter, bear incidents). We used public reports of bear incidents in Michigan, USA, from 2003-2011 to assess the relative contributions of ecological and anthropogenic variables in explaining the spatial distribution of bear incidents and estimated the potential risk of bear incidents. We used weighted Normalized Difference Vegetation Index mean as an index of primary productivity, region (i.e., Upper Peninsula or Lower Peninsula), primary and secondary road densities, and percentage land cover type within 6.5-km2 circular buffers around bear incidents and random points. We developed 22 a priori models and used generalized linear models and Akaike's Information Criterion (AIC) to rank models. The global model was the best compromise between model complexity and model fit (w = 0.99), with a ΔAIC 8.99 units from the second best performing model. We found that as deciduous forest cover increased, the probability of bear incident occurrence increased. Among the measured anthropogenic variables, cultivated crops and primary roads were the most important in our AIC-best model and were both positively related to the probability of bear incident occurrence. The spatial distribution of relative bear incident risk varied markedly throughout Michigan. Forest cover fragmented with agriculture and other anthropogenic activities presents an environment that likely facilitates bear incidents. Our map can help wildlife managers identify areas of bear incident occurrence, which in turn can be used to help develop strategies aimed at reducing incidents. Researchers and wildlife managers can use similar mapping techniques to assess locations of specific conflict types or to address human impacts on endangered species.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27119344</pmid><doi>10.1371/journal.pone.0154474</doi><oa>free_for_read</oa></addata></record> |
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subjects | Agricultural management Agriculture Animal behavior Animal populations Animals Anthropogenic factors Bears Biology and Life Sciences Black bear Carnivores Conservation of Natural Resources Deciduous forests Ecological monitoring Ecology and Environmental Sciences Ecosystem Endangered species Engineering and Technology Environmental protection Food Foraging behavior Forests Human influences Humans Laboratories Land cover Land use Landscape ecology Mammals Michigan Models, Theoretical Natural & organic foods Natural resources People and places Perceptions Property damage Psychological aspects Roads & highways Spatial Analysis Spatial distribution Statistical models Ursidae - physiology Ursus Ursus americanus Variables Vegetation index Wildlife Wildlife conservation Wildlife management |
title | Spatial Distribution of Black Bear Incident Reports in Michigan |
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