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Transcending scale dependence in identifying habitat with resource selection functions
Multi-scale resource selection modeling is used to identify factors that limit species distributions across scales of space and time. This multi-scale nature of habitat suitability complicates the translation of inferences to single, spatial depictions of habitat required for conservation of species...
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Published in: | Ecological applications 2012-06, Vol.22 (4), p.1068-1083 |
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creator | DeCesare, Nicholas J Hebblewhite, Mark Schmiegelow, Fiona Hervieux, David McDermid, Gregory J Neufeld, Lalenia Bradley, Mark Whittington, Jesse Smith, Kirby G Morgantini, Luigi E Wheatley, Matthew Musiani, Marco |
description | Multi-scale resource selection modeling is used to identify factors that limit species distributions across scales of space and time. This multi-scale nature of habitat suitability complicates the translation of inferences to single, spatial depictions of habitat required for conservation of species. We estimated resource selection functions (RSFs) across three scales for a threatened ungulate, woodland caribou (
Rangifer tarandus
caribou
), with two objectives: (1) to infer the relative effects of two forms of anthropogenic disturbance (forestry and linear features) on woodland caribou distributions at multiple scales and (2) to estimate scale-integrated resource selection functions (SRSFs) that synthesize results across scales for management-oriented habitat suitability mapping. We found a previously undocumented scale-specific switch in woodland caribou response to two forms of anthropogenic disturbance. Caribou avoided forestry cut-blocks at broad scales according to first- and second-order RSFs and avoided linear features at fine scales according to third-order RSFs, corroborating predictions developed according to predator-mediated effects of each disturbance type. Additionally, a single SRSF validated as well as each of three single-scale RSFs when estimating habitat suitability across three different spatial scales of prediction. We demonstrate that a single SRSF can be applied to predict relative habitat suitability at both local and landscape scales in support of critical habitat identification and species recovery. |
doi_str_mv | 10.1890/11-1610.1 |
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Rangifer tarandus
caribou
), with two objectives: (1) to infer the relative effects of two forms of anthropogenic disturbance (forestry and linear features) on woodland caribou distributions at multiple scales and (2) to estimate scale-integrated resource selection functions (SRSFs) that synthesize results across scales for management-oriented habitat suitability mapping. We found a previously undocumented scale-specific switch in woodland caribou response to two forms of anthropogenic disturbance. Caribou avoided forestry cut-blocks at broad scales according to first- and second-order RSFs and avoided linear features at fine scales according to third-order RSFs, corroborating predictions developed according to predator-mediated effects of each disturbance type. Additionally, a single SRSF validated as well as each of three single-scale RSFs when estimating habitat suitability across three different spatial scales of prediction. We demonstrate that a single SRSF can be applied to predict relative habitat suitability at both local and landscape scales in support of critical habitat identification and species recovery.</description><identifier>ISSN: 1051-0761</identifier><identifier>EISSN: 1939-5582</identifier><identifier>DOI: 10.1890/11-1610.1</identifier><identifier>PMID: 22827119</identifier><language>eng</language><publisher>United States: Ecological Society of America</publisher><subject>Alberta ; Animals ; Applied ecology ; British Columbia ; Caribous ; critical habitat ; Demography ; Ecological modeling ; Ecosystem ; Environmental Monitoring ; Feeding Behavior - physiology ; Habitat conservation ; Habitat selection ; Human Activities ; Lineations ; Modeling ; Natural resources ; Natural resources conservation ; Rangifer tarandus caribou ; Reindeer - physiology ; scale-integrated resource selection function, SRSF ; species distribution model ; woodland caribou ; Woodlands</subject><ispartof>Ecological applications, 2012-06, Vol.22 (4), p.1068-1083</ispartof><rights>Copyright © 2012 Ecological Society of America</rights><rights>2012 by the Ecological Society of America</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a4778-66e3c0b7428b75f85a69418f00a29c99bb1be71a5c26f2dbe1940e39d66b242a3</citedby><cites>FETCH-LOGICAL-a4778-66e3c0b7428b75f85a69418f00a29c99bb1be71a5c26f2dbe1940e39d66b242a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/23213945$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/23213945$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,58238,58471</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22827119$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Schauber, EM</contributor><creatorcontrib>DeCesare, Nicholas J</creatorcontrib><creatorcontrib>Hebblewhite, Mark</creatorcontrib><creatorcontrib>Schmiegelow, Fiona</creatorcontrib><creatorcontrib>Hervieux, David</creatorcontrib><creatorcontrib>McDermid, Gregory J</creatorcontrib><creatorcontrib>Neufeld, Lalenia</creatorcontrib><creatorcontrib>Bradley, Mark</creatorcontrib><creatorcontrib>Whittington, Jesse</creatorcontrib><creatorcontrib>Smith, Kirby G</creatorcontrib><creatorcontrib>Morgantini, Luigi E</creatorcontrib><creatorcontrib>Wheatley, Matthew</creatorcontrib><creatorcontrib>Musiani, Marco</creatorcontrib><title>Transcending scale dependence in identifying habitat with resource selection functions</title><title>Ecological applications</title><addtitle>Ecol Appl</addtitle><description>Multi-scale resource selection modeling is used to identify factors that limit species distributions across scales of space and time. This multi-scale nature of habitat suitability complicates the translation of inferences to single, spatial depictions of habitat required for conservation of species. We estimated resource selection functions (RSFs) across three scales for a threatened ungulate, woodland caribou (
Rangifer tarandus
caribou
), with two objectives: (1) to infer the relative effects of two forms of anthropogenic disturbance (forestry and linear features) on woodland caribou distributions at multiple scales and (2) to estimate scale-integrated resource selection functions (SRSFs) that synthesize results across scales for management-oriented habitat suitability mapping. We found a previously undocumented scale-specific switch in woodland caribou response to two forms of anthropogenic disturbance. Caribou avoided forestry cut-blocks at broad scales according to first- and second-order RSFs and avoided linear features at fine scales according to third-order RSFs, corroborating predictions developed according to predator-mediated effects of each disturbance type. Additionally, a single SRSF validated as well as each of three single-scale RSFs when estimating habitat suitability across three different spatial scales of prediction. We demonstrate that a single SRSF can be applied to predict relative habitat suitability at both local and landscape scales in support of critical habitat identification and species recovery.</description><subject>Alberta</subject><subject>Animals</subject><subject>Applied ecology</subject><subject>British Columbia</subject><subject>Caribous</subject><subject>critical habitat</subject><subject>Demography</subject><subject>Ecological modeling</subject><subject>Ecosystem</subject><subject>Environmental Monitoring</subject><subject>Feeding Behavior - physiology</subject><subject>Habitat conservation</subject><subject>Habitat selection</subject><subject>Human Activities</subject><subject>Lineations</subject><subject>Modeling</subject><subject>Natural resources</subject><subject>Natural resources conservation</subject><subject>Rangifer tarandus caribou</subject><subject>Reindeer - physiology</subject><subject>scale-integrated resource selection function, SRSF</subject><subject>species distribution model</subject><subject>woodland caribou</subject><subject>Woodlands</subject><issn>1051-0761</issn><issn>1939-5582</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqNkUtv1TAQhS0EoqWw4AeAIrGBRcAzSfxYVlV5SJVgUdhadjKhrnKdYDsq99_jS8pDAiS88YzON0eeY8YeA38JSvNXADWIQ3OHHYNudN11Cu-WmndQcyngiD1I6ZqXg4j32RGiQgmgj9mny2hD6ikMPnyuUm8nqgZaSk-hp8qHypcq-3F_0K-s89nm6sbnqypSmtdYoEQT9dnPoRrX8L1ID9m90U6JHt3eJ-zj6_PLs7f1xfs3785OL2rbSqlqIajpuZMtKie7UXVW6BbUyLlF3WvtHDiSYLsexYiDI9Atp0YPQjhs0TYn7Pnmu8T5y0opm50v20yTDTSvyQBvUCndSv4fKCoOEhpd0Bcb2sc5pUijWaLf2bgvkDkkbgDMIXEDhX16a7u6HQ0_yR8RF6DbgBs_0f7fTub89ANyKB_UAheqzD3Z5q5TnuMv3wbLE9uu6M823eb9MgdDyf5mtgyjyV_z36k_lvgGKX6qHw</recordid><startdate>201206</startdate><enddate>201206</enddate><creator>DeCesare, Nicholas J</creator><creator>Hebblewhite, Mark</creator><creator>Schmiegelow, Fiona</creator><creator>Hervieux, David</creator><creator>McDermid, Gregory J</creator><creator>Neufeld, Lalenia</creator><creator>Bradley, Mark</creator><creator>Whittington, Jesse</creator><creator>Smith, Kirby G</creator><creator>Morgantini, Luigi E</creator><creator>Wheatley, Matthew</creator><creator>Musiani, Marco</creator><general>Ecological Society of America</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7QG</scope><scope>7SN</scope><scope>7ST</scope><scope>7U6</scope><scope>C1K</scope></search><sort><creationdate>201206</creationdate><title>Transcending scale dependence in identifying habitat with resource selection functions</title><author>DeCesare, Nicholas J ; Hebblewhite, Mark ; Schmiegelow, Fiona ; Hervieux, David ; McDermid, Gregory J ; Neufeld, Lalenia ; Bradley, Mark ; Whittington, Jesse ; Smith, Kirby G ; Morgantini, Luigi E ; Wheatley, Matthew ; Musiani, Marco</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a4778-66e3c0b7428b75f85a69418f00a29c99bb1be71a5c26f2dbe1940e39d66b242a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Alberta</topic><topic>Animals</topic><topic>Applied ecology</topic><topic>British Columbia</topic><topic>Caribous</topic><topic>critical habitat</topic><topic>Demography</topic><topic>Ecological modeling</topic><topic>Ecosystem</topic><topic>Environmental Monitoring</topic><topic>Feeding Behavior - physiology</topic><topic>Habitat conservation</topic><topic>Habitat selection</topic><topic>Human Activities</topic><topic>Lineations</topic><topic>Modeling</topic><topic>Natural resources</topic><topic>Natural resources conservation</topic><topic>Rangifer tarandus caribou</topic><topic>Reindeer - physiology</topic><topic>scale-integrated resource selection function, SRSF</topic><topic>species distribution model</topic><topic>woodland caribou</topic><topic>Woodlands</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>DeCesare, Nicholas J</creatorcontrib><creatorcontrib>Hebblewhite, Mark</creatorcontrib><creatorcontrib>Schmiegelow, Fiona</creatorcontrib><creatorcontrib>Hervieux, David</creatorcontrib><creatorcontrib>McDermid, Gregory J</creatorcontrib><creatorcontrib>Neufeld, Lalenia</creatorcontrib><creatorcontrib>Bradley, Mark</creatorcontrib><creatorcontrib>Whittington, Jesse</creatorcontrib><creatorcontrib>Smith, Kirby G</creatorcontrib><creatorcontrib>Morgantini, Luigi E</creatorcontrib><creatorcontrib>Wheatley, Matthew</creatorcontrib><creatorcontrib>Musiani, Marco</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Animal Behavior Abstracts</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Ecological applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>DeCesare, Nicholas J</au><au>Hebblewhite, Mark</au><au>Schmiegelow, Fiona</au><au>Hervieux, David</au><au>McDermid, Gregory J</au><au>Neufeld, Lalenia</au><au>Bradley, Mark</au><au>Whittington, Jesse</au><au>Smith, Kirby G</au><au>Morgantini, Luigi E</au><au>Wheatley, Matthew</au><au>Musiani, Marco</au><au>Schauber, EM</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transcending scale dependence in identifying habitat with resource selection functions</atitle><jtitle>Ecological applications</jtitle><addtitle>Ecol Appl</addtitle><date>2012-06</date><risdate>2012</risdate><volume>22</volume><issue>4</issue><spage>1068</spage><epage>1083</epage><pages>1068-1083</pages><issn>1051-0761</issn><eissn>1939-5582</eissn><abstract>Multi-scale resource selection modeling is used to identify factors that limit species distributions across scales of space and time. This multi-scale nature of habitat suitability complicates the translation of inferences to single, spatial depictions of habitat required for conservation of species. We estimated resource selection functions (RSFs) across three scales for a threatened ungulate, woodland caribou (
Rangifer tarandus
caribou
), with two objectives: (1) to infer the relative effects of two forms of anthropogenic disturbance (forestry and linear features) on woodland caribou distributions at multiple scales and (2) to estimate scale-integrated resource selection functions (SRSFs) that synthesize results across scales for management-oriented habitat suitability mapping. We found a previously undocumented scale-specific switch in woodland caribou response to two forms of anthropogenic disturbance. Caribou avoided forestry cut-blocks at broad scales according to first- and second-order RSFs and avoided linear features at fine scales according to third-order RSFs, corroborating predictions developed according to predator-mediated effects of each disturbance type. Additionally, a single SRSF validated as well as each of three single-scale RSFs when estimating habitat suitability across three different spatial scales of prediction. We demonstrate that a single SRSF can be applied to predict relative habitat suitability at both local and landscape scales in support of critical habitat identification and species recovery.</abstract><cop>United States</cop><pub>Ecological Society of America</pub><pmid>22827119</pmid><doi>10.1890/11-1610.1</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Alberta Animals Applied ecology British Columbia Caribous critical habitat Demography Ecological modeling Ecosystem Environmental Monitoring Feeding Behavior - physiology Habitat conservation Habitat selection Human Activities Lineations Modeling Natural resources Natural resources conservation Rangifer tarandus caribou Reindeer - physiology scale-integrated resource selection function, SRSF species distribution model woodland caribou Woodlands |
title | Transcending scale dependence in identifying habitat with resource selection functions |
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