Estimation of population size and trends for highly mobile species with dynamic spatial distributions
Aim: To develop a more ecologically realistic approach for estimating the population size of cetaceans and other highly mobile species with dynamic spatial distributions. Location: California Current Ecosystem, USA. Methods: Conventional spatial density models assume a constant relationship between...
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Veröffentlicht in: | Diversity & distributions 2018-01, Vol.24 (1/2), p.1-12 |
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description | Aim: To develop a more ecologically realistic approach for estimating the population size of cetaceans and other highly mobile species with dynamic spatial distributions. Location: California Current Ecosystem, USA. Methods: Conventional spatial density models assume a constant relationship between densities and habitat covariates over some time period, typically a survey season. The estimated population size must change whenever total habitat availability changes. For highly mobile long-lived species, however, density-habitat relationships likely adjust more rapidly than population size. We developed an integrated populationredistribution model based on a more ecologically plausible alternative hypothesis: (1) population size is effectively constant over each survey season; (2) if habitat availability changes, then the population redistributes itself following an ideal free distribution process. Thus, the estimated relationship between densities and habitat covariates adjusts rather than population size. We constructed Bayesian hierarchical models corresponding to the conventional and alternative hypotheses and applied them to distance sampling data for Dall's porpoise (Phocoenoides dalli), a highly mobile cetacean with distribution patterns closely tied to cool sea-surface temperatures. Results: The Dall's porpoise data provided strong support for the hypothesis based on an ideal free redistribution process. Our results indicate that the population size of DalPs porpoise within the survey region was relatively stable over each summer/fall survey season, but the distribution expanded and contracted with the extent of suitable habitat. Over multiple survey seasons, the model partitioned variation in observed densities among three sources: variation in population size, the density-habitat relationship and measurement error, leading to lower and more ecologically plausible estimates of interannual variation in population size. Main conclusions: We conclude that the integrated population-redistribution model (IPRM) presented here represents an ecologically plausible model for use in future assessments of the population size and dynamics of cetaceans and other highly mobile long-lived species with variable spatial distributions. |
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Location: California Current Ecosystem, USA. Methods: Conventional spatial density models assume a constant relationship between densities and habitat covariates over some time period, typically a survey season. The estimated population size must change whenever total habitat availability changes. For highly mobile long-lived species, however, density-habitat relationships likely adjust more rapidly than population size. We developed an integrated populationredistribution model based on a more ecologically plausible alternative hypothesis: (1) population size is effectively constant over each survey season; (2) if habitat availability changes, then the population redistributes itself following an ideal free distribution process. Thus, the estimated relationship between densities and habitat covariates adjusts rather than population size. We constructed Bayesian hierarchical models corresponding to the conventional and alternative hypotheses and applied them to distance sampling data for Dall's porpoise (Phocoenoides dalli), a highly mobile cetacean with distribution patterns closely tied to cool sea-surface temperatures. Results: The Dall's porpoise data provided strong support for the hypothesis based on an ideal free redistribution process. Our results indicate that the population size of DalPs porpoise within the survey region was relatively stable over each summer/fall survey season, but the distribution expanded and contracted with the extent of suitable habitat. Over multiple survey seasons, the model partitioned variation in observed densities among three sources: variation in population size, the density-habitat relationship and measurement error, leading to lower and more ecologically plausible estimates of interannual variation in population size. Main conclusions: We conclude that the integrated population-redistribution model (IPRM) presented here represents an ecologically plausible model for use in future assessments of the population size and dynamics of cetaceans and other highly mobile long-lived species with variable spatial distributions.</description><identifier>ISSN: 1366-9516</identifier><identifier>EISSN: 1472-4642</identifier><identifier>DOI: 10.1111/ddi.12663</identifier><language>eng</language><publisher>Oxford: John Wiley & Sons Ltd</publisher><subject>Bayesian analysis ; Bayesian hierarchical model ; California Current ; Cetacea ; Dall's porpoise ; distance sampling ; Distribution patterns ; Ecological effects ; Ecological monitoring ; Editor' Choice and Biodiversity Research ; Environment models ; Environmental changes ; Error analysis ; Habitat availability ; habitat model ; Habitats ; Hypotheses ; Marine mammals ; Mathematical models ; Population ; Population density ; Population number ; Population statistics ; Porpoises ; Sea surface temperature ; Seasons ; spatial density model ; Spatial distribution ; Species ; Variation</subject><ispartof>Diversity & distributions, 2018-01, Vol.24 (1/2), p.1-12</ispartof><rights>Copyright © 2018 John Wiley & Sons Ltd.</rights><rights>2017 John Wiley & Sons Ltd</rights><rights>Copyright © 2018 John Wiley & Sons Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3543-84b155553ef722525951a05c0e9ca9a5c1acd31ce53645d6468598820dfc7e723</citedby><cites>FETCH-LOGICAL-c3543-84b155553ef722525951a05c0e9ca9a5c1acd31ce53645d6468598820dfc7e723</cites><orcidid>0000-0003-4095-9390</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/44896729$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/44896729$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>315,782,786,805,1419,11571,27933,27934,45583,45584,46061,46485,58026,58259</link.rule.ids><linktorsrc>$$Uhttps://onlinelibrary.wiley.com/doi/abs/10.1111%2Fddi.12663$$EView_record_in_Wiley-Blackwell$$FView_record_in_$$GWiley-Blackwell</linktorsrc></links><search><contributor>Regan, Helen</contributor><creatorcontrib>Boyd, Charlotte</creatorcontrib><creatorcontrib>Barlow, Jay</creatorcontrib><creatorcontrib>Becker, Elizabeth A.</creatorcontrib><creatorcontrib>Forney, Karin A.</creatorcontrib><creatorcontrib>Gerrodette, Tim</creatorcontrib><creatorcontrib>Moore, Jeffrey E.</creatorcontrib><creatorcontrib>Punt, André E.</creatorcontrib><title>Estimation of population size and trends for highly mobile species with dynamic spatial distributions</title><title>Diversity & distributions</title><description>Aim: To develop a more ecologically realistic approach for estimating the population size of cetaceans and other highly mobile species with dynamic spatial distributions. Location: California Current Ecosystem, USA. Methods: Conventional spatial density models assume a constant relationship between densities and habitat covariates over some time period, typically a survey season. The estimated population size must change whenever total habitat availability changes. For highly mobile long-lived species, however, density-habitat relationships likely adjust more rapidly than population size. We developed an integrated populationredistribution model based on a more ecologically plausible alternative hypothesis: (1) population size is effectively constant over each survey season; (2) if habitat availability changes, then the population redistributes itself following an ideal free distribution process. Thus, the estimated relationship between densities and habitat covariates adjusts rather than population size. We constructed Bayesian hierarchical models corresponding to the conventional and alternative hypotheses and applied them to distance sampling data for Dall's porpoise (Phocoenoides dalli), a highly mobile cetacean with distribution patterns closely tied to cool sea-surface temperatures. Results: The Dall's porpoise data provided strong support for the hypothesis based on an ideal free redistribution process. Our results indicate that the population size of DalPs porpoise within the survey region was relatively stable over each summer/fall survey season, but the distribution expanded and contracted with the extent of suitable habitat. Over multiple survey seasons, the model partitioned variation in observed densities among three sources: variation in population size, the density-habitat relationship and measurement error, leading to lower and more ecologically plausible estimates of interannual variation in population size. Main conclusions: We conclude that the integrated population-redistribution model (IPRM) presented here represents an ecologically plausible model for use in future assessments of the population size and dynamics of cetaceans and other highly mobile long-lived species with variable spatial distributions.</description><subject>Bayesian analysis</subject><subject>Bayesian hierarchical model</subject><subject>California Current</subject><subject>Cetacea</subject><subject>Dall's porpoise</subject><subject>distance sampling</subject><subject>Distribution patterns</subject><subject>Ecological effects</subject><subject>Ecological monitoring</subject><subject>Editor' Choice and Biodiversity Research</subject><subject>Environment models</subject><subject>Environmental changes</subject><subject>Error analysis</subject><subject>Habitat availability</subject><subject>habitat model</subject><subject>Habitats</subject><subject>Hypotheses</subject><subject>Marine mammals</subject><subject>Mathematical models</subject><subject>Population</subject><subject>Population density</subject><subject>Population number</subject><subject>Population statistics</subject><subject>Porpoises</subject><subject>Sea surface temperature</subject><subject>Seasons</subject><subject>spatial density model</subject><subject>Spatial distribution</subject><subject>Species</subject><subject>Variation</subject><issn>1366-9516</issn><issn>1472-4642</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kLtOwzAUhi0EEuUy8ABIlpgY0vqeZERtgUqVWGC2XNuhrtI42Imq8PS4BNg4iy_6_nPsD4AbjKY41cwYN8VECHoCJpjlJGOCkdO0p0JkJcfiHFzEuEMIUcrJBNhl7Nxedc430Few9W1fj6foPi1UjYFdsI2JsPIBbt37th7g3m9cbWFsrXY2woPrttAMjdo7nS5TXNXQuNgFt-mPveIVOKtUHe31z3oJ3h6Xr_PnbP3ytJo_rDNNOaNZwTaYp6K2ygnhhKcHK8Q1sqVWpeIaK20o1pZTwbgRTBS8LAqCTKVzmxN6Ce7Gvm3wH72Nndz5PjRppMRlzspkBPNE3Y-UDj7GYCvZhuQgDBIjebQok0X5bTGxs5E9pB8P_4NysVj9Jm7HxC52PvwlGCtKkZOSfgGvBX29</recordid><startdate>201801</startdate><enddate>201801</enddate><creator>Boyd, Charlotte</creator><creator>Barlow, Jay</creator><creator>Becker, Elizabeth A.</creator><creator>Forney, Karin A.</creator><creator>Gerrodette, Tim</creator><creator>Moore, Jeffrey E.</creator><creator>Punt, André E.</creator><general>John Wiley & Sons Ltd</general><general>John Wiley & Sons, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>C1K</scope><scope>M7N</scope><orcidid>https://orcid.org/0000-0003-4095-9390</orcidid></search><sort><creationdate>201801</creationdate><title>Estimation of population size and trends for highly mobile species with dynamic spatial distributions</title><author>Boyd, Charlotte ; Barlow, Jay ; Becker, Elizabeth A. ; Forney, Karin A. ; Gerrodette, Tim ; Moore, Jeffrey E. ; Punt, André E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3543-84b155553ef722525951a05c0e9ca9a5c1acd31ce53645d6468598820dfc7e723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Bayesian analysis</topic><topic>Bayesian hierarchical model</topic><topic>California Current</topic><topic>Cetacea</topic><topic>Dall's porpoise</topic><topic>distance sampling</topic><topic>Distribution patterns</topic><topic>Ecological effects</topic><topic>Ecological monitoring</topic><topic>Editor' Choice and Biodiversity Research</topic><topic>Environment models</topic><topic>Environmental changes</topic><topic>Error analysis</topic><topic>Habitat availability</topic><topic>habitat model</topic><topic>Habitats</topic><topic>Hypotheses</topic><topic>Marine mammals</topic><topic>Mathematical models</topic><topic>Population</topic><topic>Population density</topic><topic>Population number</topic><topic>Population statistics</topic><topic>Porpoises</topic><topic>Sea surface temperature</topic><topic>Seasons</topic><topic>spatial density model</topic><topic>Spatial distribution</topic><topic>Species</topic><topic>Variation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Boyd, Charlotte</creatorcontrib><creatorcontrib>Barlow, Jay</creatorcontrib><creatorcontrib>Becker, Elizabeth A.</creatorcontrib><creatorcontrib>Forney, Karin A.</creatorcontrib><creatorcontrib>Gerrodette, Tim</creatorcontrib><creatorcontrib>Moore, Jeffrey E.</creatorcontrib><creatorcontrib>Punt, André E.</creatorcontrib><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><jtitle>Diversity & distributions</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Boyd, Charlotte</au><au>Barlow, Jay</au><au>Becker, Elizabeth A.</au><au>Forney, Karin A.</au><au>Gerrodette, Tim</au><au>Moore, Jeffrey E.</au><au>Punt, André E.</au><au>Regan, Helen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimation of population size and trends for highly mobile species with dynamic spatial distributions</atitle><jtitle>Diversity & distributions</jtitle><date>2018-01</date><risdate>2018</risdate><volume>24</volume><issue>1/2</issue><spage>1</spage><epage>12</epage><pages>1-12</pages><issn>1366-9516</issn><eissn>1472-4642</eissn><abstract>Aim: To develop a more ecologically realistic approach for estimating the population size of cetaceans and other highly mobile species with dynamic spatial distributions. Location: California Current Ecosystem, USA. Methods: Conventional spatial density models assume a constant relationship between densities and habitat covariates over some time period, typically a survey season. The estimated population size must change whenever total habitat availability changes. For highly mobile long-lived species, however, density-habitat relationships likely adjust more rapidly than population size. We developed an integrated populationredistribution model based on a more ecologically plausible alternative hypothesis: (1) population size is effectively constant over each survey season; (2) if habitat availability changes, then the population redistributes itself following an ideal free distribution process. Thus, the estimated relationship between densities and habitat covariates adjusts rather than population size. We constructed Bayesian hierarchical models corresponding to the conventional and alternative hypotheses and applied them to distance sampling data for Dall's porpoise (Phocoenoides dalli), a highly mobile cetacean with distribution patterns closely tied to cool sea-surface temperatures. Results: The Dall's porpoise data provided strong support for the hypothesis based on an ideal free redistribution process. Our results indicate that the population size of DalPs porpoise within the survey region was relatively stable over each summer/fall survey season, but the distribution expanded and contracted with the extent of suitable habitat. Over multiple survey seasons, the model partitioned variation in observed densities among three sources: variation in population size, the density-habitat relationship and measurement error, leading to lower and more ecologically plausible estimates of interannual variation in population size. Main conclusions: We conclude that the integrated population-redistribution model (IPRM) presented here represents an ecologically plausible model for use in future assessments of the population size and dynamics of cetaceans and other highly mobile long-lived species with variable spatial distributions.</abstract><cop>Oxford</cop><pub>John Wiley & Sons Ltd</pub><doi>10.1111/ddi.12663</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-4095-9390</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Bayesian analysis Bayesian hierarchical model California Current Cetacea Dall's porpoise distance sampling Distribution patterns Ecological effects Ecological monitoring Editor' Choice and Biodiversity Research Environment models Environmental changes Error analysis Habitat availability habitat model Habitats Hypotheses Marine mammals Mathematical models Population Population density Population number Population statistics Porpoises Sea surface temperature Seasons spatial density model Spatial distribution Species Variation |
title | Estimation of population size and trends for highly mobile species with dynamic spatial distributions |
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