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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Veröffentlicht in:Diversity & distributions 2018-02, Vol.24 (1/2), p.219-232
Hauptverfasser: Buckwalter, Joseph D., Frimpong, Emmanuel A., Barney, Jacob N., Angermeier, Paul L.
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container_issue 1/2
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container_title Diversity & distributions
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creator Buckwalter, Joseph D.
Frimpong, Emmanuel A.
Barney, Jacob N.
Angermeier, Paul L.
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.
doi_str_mv 10.1111/ddi.12671
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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. 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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. 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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. 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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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