Spatial asynchrony and cross‐scale climate interactions in populations of a coldwater stream fish
Climate change affects populations over broad geographic ranges due to spatially autocorrelated abiotic conditions known as the Moran effect. However, populations do not always respond to broad‐scale environmental changes synchronously across a landscape. We combined multiple datasets for a retrospe...
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creator | Valentine, George P. Lu, Xinyi Childress, Evan S. Dolloff, C. Andrew Hitt, Nathaniel P. Kulp, Matthew A. Letcher, Benjamin H. Pregler, Kasey C. Rash, Jacob M. Hooten, Mevin B. Kanno, Yoichiro |
description | Climate change affects populations over broad geographic ranges due to spatially autocorrelated abiotic conditions known as the Moran effect. However, populations do not always respond to broad‐scale environmental changes synchronously across a landscape. We combined multiple datasets for a retrospective analysis of time‐series count data (5–28 annual samples per segment) at 144 stream segments dispersed over nearly 1,000 linear kilometers of range to characterize the population structure and scale of spatial synchrony across the southern native range of a coldwater stream fish (brook trout, Salvelinus fontinalis), which is sensitive to stream temperature and flow variations. Spatial synchrony differed by life stage and geographic region: it was stronger in the juvenile life stage than in the adult life stage and in the northern sub‐region than in the southern sub‐region. Spatial synchrony of trout populations extended to 100–200 km but was much weaker than that of climate variables such as temperature, precipitation, and stream flow. Early life stage abundance changed over time due to annual variation in summer temperature and winter and spring stream flow conditions. Climate effects on abundance differed between sub‐regions and among local populations within sub‐regions, indicating multiple cross‐scale interactions where climate interacted with local habitat to generate only a modest pattern of population synchrony over space. Overall, our analysis showed higher degrees of response heterogeneity of local populations to climate variation and consequently population asynchrony than previously shown based on analysis of individual, geographically restricted datasets. This response heterogeneity indicates that certain local segments characterized by population asynchrony and resistance to climate variation could represent unique populations of this iconic native coldwater fish that warrant targeted conservation. Advancing the conservation of this species can include actions that identify such priority populations and incorporate them into landscape‐level conservation planning. Our approach is applicable to other widespread aquatic species sensitive to climate change.
Brook trout (Salvelinus fontinalis) in the southeastern United States are threatened by higher summer temperatures and more frequent winter and spring floods associated with climate change. We found that spatially asynchronous responses to and cross‐scale interactions with these disturbances mea |
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Brook trout (Salvelinus fontinalis) in the southeastern United States are threatened by higher summer temperatures and more frequent winter and spring floods associated with climate change. We found that spatially asynchronous responses to and cross‐scale interactions with these disturbances mean that certain populations of brook trout in the southeastern United States may be more resilient to impacts of climate change than previously thought.</description><identifier>ISSN: 1354-1013</identifier><identifier>EISSN: 1365-2486</identifier><identifier>DOI: 10.1111/gcb.17029</identifier><identifier>PMID: 37987546</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>Abundance ; Analysis ; Annual variations ; Bayesian ; brook trout ; climate ; Climate change ; Climate effects ; Conservation ; Datasets ; Developmental stages ; Environmental changes ; Fish ; Fish conservation ; Fish populations ; Freshwater plants ; Heterogeneity ; Juveniles ; Landscape preservation ; Local population ; Population structure ; Populations ; portfolio effect ; Rivers ; Salvelinus fontinalis ; Segments ; Spring streams ; Stream discharge ; stream fish ; Stream flow ; synchrony ; Trout ; Water temperature ; weather</subject><ispartof>Global change biology, 2024-01, Vol.30 (1), p.e17029-n/a</ispartof><rights>2023 The Authors. published by John Wiley & Sons Ltd.</rights><rights>2023 The Authors. Global Change Biology published by John Wiley & Sons Ltd.</rights><rights>2023. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (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-c3889-6ca7209b02bd428ab62abdc0e7c34c3f4bd09126353b8b9edd49993d2c889b2d3</citedby><cites>FETCH-LOGICAL-c3889-6ca7209b02bd428ab62abdc0e7c34c3f4bd09126353b8b9edd49993d2c889b2d3</cites><orcidid>0000-0003-0191-5678 ; 0000-0002-1046-4568 ; 0000-0001-8452-5100 ; 0009-0009-0403-7576 ; 0000-0002-0664-9594 ; 0000-0003-0271-4878</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fgcb.17029$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fgcb.17029$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37987546$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Valentine, George P.</creatorcontrib><creatorcontrib>Lu, Xinyi</creatorcontrib><creatorcontrib>Childress, Evan S.</creatorcontrib><creatorcontrib>Dolloff, C. Andrew</creatorcontrib><creatorcontrib>Hitt, Nathaniel P.</creatorcontrib><creatorcontrib>Kulp, Matthew A.</creatorcontrib><creatorcontrib>Letcher, Benjamin H.</creatorcontrib><creatorcontrib>Pregler, Kasey C.</creatorcontrib><creatorcontrib>Rash, Jacob M.</creatorcontrib><creatorcontrib>Hooten, Mevin B.</creatorcontrib><creatorcontrib>Kanno, Yoichiro</creatorcontrib><title>Spatial asynchrony and cross‐scale climate interactions in populations of a coldwater stream fish</title><title>Global change biology</title><addtitle>Glob Chang Biol</addtitle><description>Climate change affects populations over broad geographic ranges due to spatially autocorrelated abiotic conditions known as the Moran effect. However, populations do not always respond to broad‐scale environmental changes synchronously across a landscape. We combined multiple datasets for a retrospective analysis of time‐series count data (5–28 annual samples per segment) at 144 stream segments dispersed over nearly 1,000 linear kilometers of range to characterize the population structure and scale of spatial synchrony across the southern native range of a coldwater stream fish (brook trout, Salvelinus fontinalis), which is sensitive to stream temperature and flow variations. Spatial synchrony differed by life stage and geographic region: it was stronger in the juvenile life stage than in the adult life stage and in the northern sub‐region than in the southern sub‐region. Spatial synchrony of trout populations extended to 100–200 km but was much weaker than that of climate variables such as temperature, precipitation, and stream flow. Early life stage abundance changed over time due to annual variation in summer temperature and winter and spring stream flow conditions. Climate effects on abundance differed between sub‐regions and among local populations within sub‐regions, indicating multiple cross‐scale interactions where climate interacted with local habitat to generate only a modest pattern of population synchrony over space. Overall, our analysis showed higher degrees of response heterogeneity of local populations to climate variation and consequently population asynchrony than previously shown based on analysis of individual, geographically restricted datasets. This response heterogeneity indicates that certain local segments characterized by population asynchrony and resistance to climate variation could represent unique populations of this iconic native coldwater fish that warrant targeted conservation. Advancing the conservation of this species can include actions that identify such priority populations and incorporate them into landscape‐level conservation planning. Our approach is applicable to other widespread aquatic species sensitive to climate change.
Brook trout (Salvelinus fontinalis) in the southeastern United States are threatened by higher summer temperatures and more frequent winter and spring floods associated with climate change. We found that spatially asynchronous responses to and cross‐scale interactions with these disturbances mean that certain populations of brook trout in the southeastern United States may be more resilient to impacts of climate change than previously thought.</description><subject>Abundance</subject><subject>Analysis</subject><subject>Annual variations</subject><subject>Bayesian</subject><subject>brook trout</subject><subject>climate</subject><subject>Climate change</subject><subject>Climate effects</subject><subject>Conservation</subject><subject>Datasets</subject><subject>Developmental stages</subject><subject>Environmental changes</subject><subject>Fish</subject><subject>Fish conservation</subject><subject>Fish populations</subject><subject>Freshwater plants</subject><subject>Heterogeneity</subject><subject>Juveniles</subject><subject>Landscape preservation</subject><subject>Local population</subject><subject>Population structure</subject><subject>Populations</subject><subject>portfolio effect</subject><subject>Rivers</subject><subject>Salvelinus fontinalis</subject><subject>Segments</subject><subject>Spring streams</subject><subject>Stream discharge</subject><subject>stream fish</subject><subject>Stream flow</subject><subject>synchrony</subject><subject>Trout</subject><subject>Water temperature</subject><subject>weather</subject><issn>1354-1013</issn><issn>1365-2486</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNp1kMlOwzAQhi0EomU58ALIEhc4hHpJE_sIFZtUiQNwtrwFUrlxsBOh3ngEnpEnwW2AAxJzmRnpm1-jD4AjjM5xqsmzVue4RIRvgTGmxTQjOSu21_M0zzDCdAT2YlwghChBxS4Y0ZKzcpoXY6AfWtnV0kEZV41-Cb5ZQdkYqIOP8fP9I2rpLNSuXsrOwrrpbJC6q30T0wJb3_ZODquvoITaO_OWyABjF6xcwqqOLwdgp5Iu2sPvvg-erq8eZ7fZ_P7mbnYxzzRljGeFliVBXCGiTE6YVAWRymhkS01zTatcGcQxKeiUKqa4NSbnnFNDdLpWxNB9cDrktsG_9jZ2YllHbZ2TjfV9FIRxQkqUBCX05A-68H1o0neCcMxwwQhdU2cDtbERbCXakESElcBIrM2LZF5szCf2-DuxV0trfskf1QmYDMBb7ezq_yRxM7scIr8ARcSOfw</recordid><startdate>202401</startdate><enddate>202401</enddate><creator>Valentine, George P.</creator><creator>Lu, Xinyi</creator><creator>Childress, Evan S.</creator><creator>Dolloff, C. Andrew</creator><creator>Hitt, Nathaniel P.</creator><creator>Kulp, Matthew A.</creator><creator>Letcher, Benjamin H.</creator><creator>Pregler, Kasey C.</creator><creator>Rash, Jacob M.</creator><creator>Hooten, Mevin B.</creator><creator>Kanno, Yoichiro</creator><general>Blackwell Publishing Ltd</general><scope>24P</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H97</scope><scope>L.G</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0191-5678</orcidid><orcidid>https://orcid.org/0000-0002-1046-4568</orcidid><orcidid>https://orcid.org/0000-0001-8452-5100</orcidid><orcidid>https://orcid.org/0009-0009-0403-7576</orcidid><orcidid>https://orcid.org/0000-0002-0664-9594</orcidid><orcidid>https://orcid.org/0000-0003-0271-4878</orcidid></search><sort><creationdate>202401</creationdate><title>Spatial asynchrony and cross‐scale climate interactions in populations of a coldwater stream fish</title><author>Valentine, George P. ; Lu, Xinyi ; Childress, Evan S. ; Dolloff, C. Andrew ; Hitt, Nathaniel P. ; Kulp, Matthew A. ; Letcher, Benjamin H. ; Pregler, Kasey C. ; Rash, Jacob M. ; Hooten, Mevin B. ; Kanno, Yoichiro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3889-6ca7209b02bd428ab62abdc0e7c34c3f4bd09126353b8b9edd49993d2c889b2d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Abundance</topic><topic>Analysis</topic><topic>Annual variations</topic><topic>Bayesian</topic><topic>brook trout</topic><topic>climate</topic><topic>Climate change</topic><topic>Climate effects</topic><topic>Conservation</topic><topic>Datasets</topic><topic>Developmental stages</topic><topic>Environmental changes</topic><topic>Fish</topic><topic>Fish conservation</topic><topic>Fish populations</topic><topic>Freshwater plants</topic><topic>Heterogeneity</topic><topic>Juveniles</topic><topic>Landscape preservation</topic><topic>Local population</topic><topic>Population structure</topic><topic>Populations</topic><topic>portfolio effect</topic><topic>Rivers</topic><topic>Salvelinus fontinalis</topic><topic>Segments</topic><topic>Spring streams</topic><topic>Stream discharge</topic><topic>stream fish</topic><topic>Stream flow</topic><topic>synchrony</topic><topic>Trout</topic><topic>Water temperature</topic><topic>weather</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Valentine, George P.</creatorcontrib><creatorcontrib>Lu, Xinyi</creatorcontrib><creatorcontrib>Childress, Evan S.</creatorcontrib><creatorcontrib>Dolloff, C. Andrew</creatorcontrib><creatorcontrib>Hitt, Nathaniel P.</creatorcontrib><creatorcontrib>Kulp, Matthew A.</creatorcontrib><creatorcontrib>Letcher, Benjamin H.</creatorcontrib><creatorcontrib>Pregler, Kasey C.</creatorcontrib><creatorcontrib>Rash, Jacob M.</creatorcontrib><creatorcontrib>Hooten, Mevin B.</creatorcontrib><creatorcontrib>Kanno, Yoichiro</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>MEDLINE - Academic</collection><jtitle>Global change biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Valentine, George P.</au><au>Lu, Xinyi</au><au>Childress, Evan S.</au><au>Dolloff, C. Andrew</au><au>Hitt, Nathaniel P.</au><au>Kulp, Matthew A.</au><au>Letcher, Benjamin H.</au><au>Pregler, Kasey C.</au><au>Rash, Jacob M.</au><au>Hooten, Mevin B.</au><au>Kanno, Yoichiro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial asynchrony and cross‐scale climate interactions in populations of a coldwater stream fish</atitle><jtitle>Global change biology</jtitle><addtitle>Glob Chang Biol</addtitle><date>2024-01</date><risdate>2024</risdate><volume>30</volume><issue>1</issue><spage>e17029</spage><epage>n/a</epage><pages>e17029-n/a</pages><issn>1354-1013</issn><eissn>1365-2486</eissn><abstract>Climate change affects populations over broad geographic ranges due to spatially autocorrelated abiotic conditions known as the Moran effect. However, populations do not always respond to broad‐scale environmental changes synchronously across a landscape. We combined multiple datasets for a retrospective analysis of time‐series count data (5–28 annual samples per segment) at 144 stream segments dispersed over nearly 1,000 linear kilometers of range to characterize the population structure and scale of spatial synchrony across the southern native range of a coldwater stream fish (brook trout, Salvelinus fontinalis), which is sensitive to stream temperature and flow variations. Spatial synchrony differed by life stage and geographic region: it was stronger in the juvenile life stage than in the adult life stage and in the northern sub‐region than in the southern sub‐region. Spatial synchrony of trout populations extended to 100–200 km but was much weaker than that of climate variables such as temperature, precipitation, and stream flow. Early life stage abundance changed over time due to annual variation in summer temperature and winter and spring stream flow conditions. Climate effects on abundance differed between sub‐regions and among local populations within sub‐regions, indicating multiple cross‐scale interactions where climate interacted with local habitat to generate only a modest pattern of population synchrony over space. Overall, our analysis showed higher degrees of response heterogeneity of local populations to climate variation and consequently population asynchrony than previously shown based on analysis of individual, geographically restricted datasets. This response heterogeneity indicates that certain local segments characterized by population asynchrony and resistance to climate variation could represent unique populations of this iconic native coldwater fish that warrant targeted conservation. Advancing the conservation of this species can include actions that identify such priority populations and incorporate them into landscape‐level conservation planning. Our approach is applicable to other widespread aquatic species sensitive to climate change.
Brook trout (Salvelinus fontinalis) in the southeastern United States are threatened by higher summer temperatures and more frequent winter and spring floods associated with climate change. We found that spatially asynchronous responses to and cross‐scale interactions with these disturbances mean that certain populations of brook trout in the southeastern United States may be more resilient to impacts of climate change than previously thought.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>37987546</pmid><doi>10.1111/gcb.17029</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0003-0191-5678</orcidid><orcidid>https://orcid.org/0000-0002-1046-4568</orcidid><orcidid>https://orcid.org/0000-0001-8452-5100</orcidid><orcidid>https://orcid.org/0009-0009-0403-7576</orcidid><orcidid>https://orcid.org/0000-0002-0664-9594</orcidid><orcidid>https://orcid.org/0000-0003-0271-4878</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Abundance Analysis Annual variations Bayesian brook trout climate Climate change Climate effects Conservation Datasets Developmental stages Environmental changes Fish Fish conservation Fish populations Freshwater plants Heterogeneity Juveniles Landscape preservation Local population Population structure Populations portfolio effect Rivers Salvelinus fontinalis Segments Spring streams Stream discharge stream fish Stream flow synchrony Trout Water temperature weather |
title | Spatial asynchrony and cross‐scale climate interactions in populations of a coldwater stream fish |
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