2017
DOI: 10.1111/eff.12352
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Fish assemblage production estimates in Appalachian streams across a latitudinal and temperature gradient

Abstract: Production of biomass is central to the ecology and sustainability of fish assemblages.The goal of this study was to empirically estimate and compare fish assemblage production, production-to-biomass (P/B) ratios and species composition for 25 secondto third-order streams spanning the Appalachian Mountains (from Vermont to North Carolina) that vary in their temperature regimes. Fish assemblage production estimates ranged from 0.15 to 6.79 g m −2 year, and P/B ratios ranged from 0.20 to 1.07.There were no signi… Show more

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Cited by 15 publications
(22 citation statements)
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“…With global warming of worldwide concern, the impact of temperature on fisheries production is a rapidly growing area of research (Myers et al 2018;Till et al 2019). Temperature drives many biological processes in freshwater ecosystems because it influences metabolic rates and thus how efficiently an individual converts resources to energy and how much resource is required for survival (or maintenance), growth, and reproduction (Kitchell et al 1977;Hanson et al 1997;Savage et al 2004).…”
Section: Introductionmentioning
confidence: 99%
“…With global warming of worldwide concern, the impact of temperature on fisheries production is a rapidly growing area of research (Myers et al 2018;Till et al 2019). Temperature drives many biological processes in freshwater ecosystems because it influences metabolic rates and thus how efficiently an individual converts resources to energy and how much resource is required for survival (or maintenance), growth, and reproduction (Kitchell et al 1977;Hanson et al 1997;Savage et al 2004).…”
Section: Introductionmentioning
confidence: 99%
“…Production D r a f t estimates integrate critical vital rates such as abundance, recruitment, growth, and mortality (Waters 1977;Downing 1984;Kwak and Waters 1997). Resultantly, production variables are sensitive indicators of ecological change (Waters 1992;Valentine-Rose et al 2007;Benke 2010;Myers et al 2017;Rypel and David 2017). Production is also a measure specifically well-suited to the study of exploited fish populations (Ricker 1946;Waters 1992;Dolbeth et al 2012;Rypel et al 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Climate change in particular is rapidly changing the fisheries ecology of lakes in Wisconsin and elsewhere (Lynch et al 2016;Winfield et al 2016;Hansen et al 2017). The dynamics of fish populations and communities are strongly regulated by temperature; thus, climate change is rapidly re-organizing fisheries (Tonn 1990;Lyons et al 2010;Magee et al 2018;Myers et al 2018;Rypel et al 2018). Recruitment rates of Walleye and abundances of Largemouth Bass in Wisconsin lakes are strongly predicted by temperature but in opposite directions .…”
Section: Simple Lakesmentioning
confidence: 99%
“…The vast majority of lake classification systems rely on static landscape variables that cannot change over time such as lake area, lake depth, and landscape position. Parallel work in stream fisheries has also recognized and integrated this need (Lyons et al 2010;Myers et al 2018). Wehrly et al (2012) recently recognized that fish assemblages in lakes are largely governed by lake thermal regime, and that a modern lake classification system should incorporate temperature and potential consequences of climate change in particular.…”
Section: Introductionmentioning
confidence: 99%
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