Seventy years of stream-fish collections reveal invasions and native range contractions in an Appalachian (USA) watershed
Aim: Knowledge of expanding and contracting ranges is critical for monitoring invasions and assessing conservation status, yet reliable data on distributional trends are lacking for most freshwater species. We developed a quantitative technique to detect the sign (expansion or contraction) and funct...
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description | Aim: Knowledge of expanding and contracting ranges is critical for monitoring invasions and assessing conservation status, yet reliable data on distributional trends are lacking for most freshwater species. We developed a quantitative technique to detect the sign (expansion or contraction) and functional form of range-size changes for freshwater species based on collections data, while accounting for possible biases due to variable collection effort. We applied this technique to quantify stream-fish range expansions and contractions in a highly invaded river system. Location: Upper and middle New River (UMNR) basin, Appalachian Mountains, USA. Methods: We compiled a 77-year stream-fish collections dataset partitioned into ten time periods. To account for variable collection effort among time periods, we aggregated the collections into 100 watersheds and expressed a species' range size as detections per watershed (HUC) sampled (DPHS). We regressed DPHS against time by species and used an information-theoretic approach to compare linear and nonlinear functional forms fitted to the data points and to classify each species as spreader, stable or decliner. Results: We analysed changes in range size for 74 UMNR fishes, including 35 native and 39 established introduced species. We classified the majority (51%) of introduced species as spreaders, compared to 31% of natives. An exponential functional form fits best for 84% of spreaders. Three natives were among the most rapid spreaders. All four decliners were New River natives. Main conclusions: Our DPHS-based approach facilitated quantitative analyses of distributional trends for stream fishes based on collections data. Partitioning the dataset into multiple time periods allowed us to distinguish long-term trends from population fluctuations and to examine nonlinear forms of spread. Our framework sets the stage for further study of drivers of stream-fish invasions and declines in the UMNR and is widely transferable to other freshwater taxa and geographic regions. |
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We developed a quantitative technique to detect the sign (expansion or contraction) and functional form of range-size changes for freshwater species based on collections data, while accounting for possible biases due to variable collection effort. We applied this technique to quantify stream-fish range expansions and contractions in a highly invaded river system. Location: Upper and middle New River (UMNR) basin, Appalachian Mountains, USA. Methods: We compiled a 77-year stream-fish collections dataset partitioned into ten time periods. To account for variable collection effort among time periods, we aggregated the collections into 100 watersheds and expressed a species' range size as detections per watershed (HUC) sampled (DPHS). We regressed DPHS against time by species and used an information-theoretic approach to compare linear and nonlinear functional forms fitted to the data points and to classify each species as spreader, stable or decliner. Results: We analysed changes in range size for 74 UMNR fishes, including 35 native and 39 established introduced species. We classified the majority (51%) of introduced species as spreaders, compared to 31% of natives. An exponential functional form fits best for 84% of spreaders. Three natives were among the most rapid spreaders. All four decliners were New River natives. Main conclusions: Our DPHS-based approach facilitated quantitative analyses of distributional trends for stream fishes based on collections data. Partitioning the dataset into multiple time periods allowed us to distinguish long-term trends from population fluctuations and to examine nonlinear forms of spread. Our framework sets the stage for further study of drivers of stream-fish invasions and declines in the UMNR and is widely transferable to other freshwater taxa and geographic regions.</description><identifier>ISSN: 1366-9516</identifier><identifier>EISSN: 1472-4642</identifier><identifier>DOI: 10.1111/ddi.12671</identifier><language>eng</language><publisher>Oxford: John Wiley & Sons Ltd</publisher><subject>BIODIVERSITY RESEARCH ; Biological invasions ; Collection ; Collections ; conservation assessment ; Conservation status ; Contraction ; Creeks & streams ; Data collection ; Data points ; Fish ; functional form ; Information theory ; Introduced species ; Invasive fish ; Mountains ; native invaders ; range expansion ; Range extension ; Regression analysis ; Rivers ; Species classification ; species declines ; Spreaders ; Trends ; Variation ; Watersheds</subject><ispartof>Diversity & distributions, 2018-02, Vol.24 (1/2), p.219-232</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-c3541-5fe15a4debf6701a712f7ae1108af8443a5b6f4d327e9519434cf1c70b5083423</citedby><cites>FETCH-LOGICAL-c3541-5fe15a4debf6701a712f7ae1108af8443a5b6f4d327e9519434cf1c70b5083423</cites><orcidid>0000-0003-2043-8627</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/44896748$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/44896748$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,1411,11541,27901,27902,45550,45551,46027,46451,57992,58225</link.rule.ids><linktorsrc>$$Uhttps://onlinelibrary.wiley.com/doi/abs/10.1111%2Fddi.12671$$EView_record_in_Wiley-Blackwell$$FView_record_in_$$GWiley-Blackwell</linktorsrc></links><search><creatorcontrib>Buckwalter, Joseph D.</creatorcontrib><creatorcontrib>Frimpong, Emmanuel A.</creatorcontrib><creatorcontrib>Barney, Jacob N.</creatorcontrib><creatorcontrib>Angermeier, Paul L.</creatorcontrib><title>Seventy years of stream-fish collections reveal invasions and native range contractions in an Appalachian (USA) watershed</title><title>Diversity & distributions</title><description>Aim: Knowledge of expanding and contracting ranges is critical for monitoring invasions and assessing conservation status, yet reliable data on distributional trends are lacking for most freshwater species. We developed a quantitative technique to detect the sign (expansion or contraction) and functional form of range-size changes for freshwater species based on collections data, while accounting for possible biases due to variable collection effort. We applied this technique to quantify stream-fish range expansions and contractions in a highly invaded river system. Location: Upper and middle New River (UMNR) basin, Appalachian Mountains, USA. Methods: We compiled a 77-year stream-fish collections dataset partitioned into ten time periods. To account for variable collection effort among time periods, we aggregated the collections into 100 watersheds and expressed a species' range size as detections per watershed (HUC) sampled (DPHS). We regressed DPHS against time by species and used an information-theoretic approach to compare linear and nonlinear functional forms fitted to the data points and to classify each species as spreader, stable or decliner. Results: We analysed changes in range size for 74 UMNR fishes, including 35 native and 39 established introduced species. We classified the majority (51%) of introduced species as spreaders, compared to 31% of natives. An exponential functional form fits best for 84% of spreaders. Three natives were among the most rapid spreaders. All four decliners were New River natives. Main conclusions: Our DPHS-based approach facilitated quantitative analyses of distributional trends for stream fishes based on collections data. Partitioning the dataset into multiple time periods allowed us to distinguish long-term trends from population fluctuations and to examine nonlinear forms of spread. Our framework sets the stage for further study of drivers of stream-fish invasions and declines in the UMNR and is widely transferable to other freshwater taxa and geographic regions.</description><subject>BIODIVERSITY RESEARCH</subject><subject>Biological invasions</subject><subject>Collection</subject><subject>Collections</subject><subject>conservation assessment</subject><subject>Conservation status</subject><subject>Contraction</subject><subject>Creeks & streams</subject><subject>Data collection</subject><subject>Data points</subject><subject>Fish</subject><subject>functional form</subject><subject>Information theory</subject><subject>Introduced species</subject><subject>Invasive fish</subject><subject>Mountains</subject><subject>native invaders</subject><subject>range expansion</subject><subject>Range extension</subject><subject>Regression analysis</subject><subject>Rivers</subject><subject>Species classification</subject><subject>species declines</subject><subject>Spreaders</subject><subject>Trends</subject><subject>Variation</subject><subject>Watersheds</subject><issn>1366-9516</issn><issn>1472-4642</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp10LtOwzAUBuAIgcR14AGQLLHAkGLHt2SsWi6VkBiAOTpNjqmr1Cl22ipvjyGFDS8-sr7flv8kuWR0xOK6q2s7YpnS7CA5YUJnqVAiO4wzVyotJFPHyWkIS0op5zI7SfpX3KLretIj-EBaQ0LnEVapsWFBqrZpsOps6wLxEUJDrNtC-DkAVxMHnd0i8eA-MGrXedhz6yIg4_UaGqgWNs4376_jW7KDDn1YYH2eHBloAl7s97Pk_eH-bfKUPr88zibj57TiUrBUGmQSRI1zozRloFlmNCBjNAeTC8FBzpURNc80xv8VgovKsErTuaQ5Fxk_S66He9e-_dxg6Mplu_EuPlmyIhdKaS6LqG4HVfk2BI-mXHu7At-XjJbfzZax2fKn2WjvBruzDfb_w3I6nf0mrobEMnSt_0sIkRdKi5x_AdnchGw</recordid><startdate>201802</startdate><enddate>201802</enddate><creator>Buckwalter, Joseph D.</creator><creator>Frimpong, Emmanuel A.</creator><creator>Barney, Jacob N.</creator><creator>Angermeier, Paul L.</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/0000-0003-2043-8627</orcidid></search><sort><creationdate>201802</creationdate><title>Seventy years of stream-fish collections reveal invasions and native range contractions in an Appalachian (USA) watershed</title><author>Buckwalter, Joseph D. ; Frimpong, Emmanuel A. ; Barney, Jacob N. ; Angermeier, Paul L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3541-5fe15a4debf6701a712f7ae1108af8443a5b6f4d327e9519434cf1c70b5083423</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>BIODIVERSITY RESEARCH</topic><topic>Biological invasions</topic><topic>Collection</topic><topic>Collections</topic><topic>conservation assessment</topic><topic>Conservation status</topic><topic>Contraction</topic><topic>Creeks & streams</topic><topic>Data collection</topic><topic>Data points</topic><topic>Fish</topic><topic>functional form</topic><topic>Information theory</topic><topic>Introduced species</topic><topic>Invasive fish</topic><topic>Mountains</topic><topic>native invaders</topic><topic>range expansion</topic><topic>Range extension</topic><topic>Regression analysis</topic><topic>Rivers</topic><topic>Species classification</topic><topic>species declines</topic><topic>Spreaders</topic><topic>Trends</topic><topic>Variation</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Buckwalter, Joseph D.</creatorcontrib><creatorcontrib>Frimpong, Emmanuel A.</creatorcontrib><creatorcontrib>Barney, Jacob N.</creatorcontrib><creatorcontrib>Angermeier, Paul L.</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>Buckwalter, Joseph D.</au><au>Frimpong, Emmanuel A.</au><au>Barney, Jacob N.</au><au>Angermeier, Paul L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Seventy years of stream-fish collections reveal invasions and native range contractions in an Appalachian (USA) watershed</atitle><jtitle>Diversity & distributions</jtitle><date>2018-02</date><risdate>2018</risdate><volume>24</volume><issue>1/2</issue><spage>219</spage><epage>232</epage><pages>219-232</pages><issn>1366-9516</issn><eissn>1472-4642</eissn><abstract>Aim: Knowledge of expanding and contracting ranges is critical for monitoring invasions and assessing conservation status, yet reliable data on distributional trends are lacking for most freshwater species. We developed a quantitative technique to detect the sign (expansion or contraction) and functional form of range-size changes for freshwater species based on collections data, while accounting for possible biases due to variable collection effort. We applied this technique to quantify stream-fish range expansions and contractions in a highly invaded river system. Location: Upper and middle New River (UMNR) basin, Appalachian Mountains, USA. Methods: We compiled a 77-year stream-fish collections dataset partitioned into ten time periods. To account for variable collection effort among time periods, we aggregated the collections into 100 watersheds and expressed a species' range size as detections per watershed (HUC) sampled (DPHS). We regressed DPHS against time by species and used an information-theoretic approach to compare linear and nonlinear functional forms fitted to the data points and to classify each species as spreader, stable or decliner. Results: We analysed changes in range size for 74 UMNR fishes, including 35 native and 39 established introduced species. We classified the majority (51%) of introduced species as spreaders, compared to 31% of natives. An exponential functional form fits best for 84% of spreaders. Three natives were among the most rapid spreaders. All four decliners were New River natives. Main conclusions: Our DPHS-based approach facilitated quantitative analyses of distributional trends for stream fishes based on collections data. Partitioning the dataset into multiple time periods allowed us to distinguish long-term trends from population fluctuations and to examine nonlinear forms of spread. Our framework sets the stage for further study of drivers of stream-fish invasions and declines in the UMNR and is widely transferable to other freshwater taxa and geographic regions.</abstract><cop>Oxford</cop><pub>John Wiley & Sons Ltd</pub><doi>10.1111/ddi.12671</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0003-2043-8627</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | BIODIVERSITY RESEARCH Biological invasions Collection Collections conservation assessment Conservation status Contraction Creeks & streams Data collection Data points Fish functional form Information theory Introduced species Invasive fish Mountains native invaders range expansion Range extension Regression analysis Rivers Species classification species declines Spreaders Trends Variation Watersheds |
title | Seventy years of stream-fish collections reveal invasions and native range contractions in an Appalachian (USA) watershed |
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