Water Body Type Influences Climate–Growth Relationships of Freshwater Drum

Richard, Jordan; Rypel, Andrew L.

doi:10.1080/00028487.2013.806350

Cited by 14 publications

(19 citation statements)

References 82 publications

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“…Growth rates of fishes are frequently variable and scale-dependent (Conover and Present 1990;Rypel 2009Rypel , 2012, changing in response to myriad abiotic and biotic drivers (Houlihan et al 1992;Sass and Kitchell 2005;Black 2009;Rypel 2011;Richard and Rypel 2013). Secondary production calculations integrate growth and mathematically represents half of the structural formula of production (i.e., P ϭ GB).…”

Section: Discussionmentioning

confidence: 99%

Production rates of walleye and their relationship to exploitation in Escanaba Lake, Wisconsin, 1965–2009

Rypel

Goto

Sass

et al. 2015

Can. J. Fish. Aquat. Sci.

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Understanding variability in fish production, biomass, production/biomass (P/B) ratios, and their relationship to exploitation is central to fisheries sustainability. At Escanaba Lake, Wisconsin, USA, data from a compulsory creel census were combined with survey data on fish populations to test for empirical relationships between annual production and exploitation rates of walleye (Sander vitreus). Empirical estimates of walleye production were relatively high and temporally variable in Escanaba Lake. Annual production, biomass, and P/B ratios ranges were 2.4-11.3 kg·ha −1 ·year −1 , 9.1-49.4 kg·ha −1 , and 0.15-0.30 year −1 , respectively. Walleye production rates were significantly and positively correlated with adult (i.e., age 3+) walleye density -the core metric used to manage walleye populations in the Ceded Territory of Wisconsin. However, adult walleye density correlated best with ages 4-6 production. Annual exploitation based on the percentage of individuals removed from the population was linearly related to annual exploitation based on the percentage of production removed. On average, 100% of annual production was harvested at ϳ20% annual exploitation of individuals; thus, higher sustained exploitation rates would deplete walleye biomass in Escanaba Lake over time. A sustainable annual exploitation rate of 20% annually is lower than the 35% limit reference point currently used for walleye management in the Ceded Territory of Wisconsin. Nevertheless, our estimate is strongly concordant with two recent and independent modeling efforts addressing this same topic. We suggest empirical estimates of fish production are a vastly underutilized tool for better understanding sustainable exploitation rates in walleye populations and, likely, fisheries in general.Résumé : La compréhension des variations de la production, de la biomasse et des rapports production/biomasse (P/B) ainsi que de leur lien avec l'exploitation est essentielle à la durabilité des pêches. Au lac Escanaba, au Wisconsin (États-Unis), des données d'un relevé des prises obligatoire ) ont été combinées à des données d'évaluation des populations de poissons afin d'établir s'il y a un lien empirique entre la production annuelle et les taux d'exploitation du doré jaune (Sander vitreus). Les estimations empiriques de la production de dorés jaunes étaient relativement élevées et variables dans le temps au lac Escanaba. La production annuelle, la biomasse et les rapports P/B étaient de 2,4-11,3 kg·ha −1 ·an −1 , 9,1-49,4 kg·ha −1 et 0,15-0,30 an −1 , respectivement. Les taux de production de dorés jaunes présentaient une corrélation significative positive avec la densité de dorés jaunes adultes (c.-à -d. 3 ans et plus), le principal paramètre utilisé dans la gestion des populations de dorés jaunes dans le Territoire cédé du Wisconsin. Toutefois, la densité des dorés adultes présentait la meilleure corrélation avec la production d'individus âgés de 4 à 6 ans. L'exploitation annuelle basée sur le pourcentage d'individus extraits de la population était ...

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Section: Discussionmentioning

confidence: 99%

Production rates of walleye and their relationship to exploitation in Escanaba Lake, Wisconsin, 1965–2009

Rypel

Goto

Sass

et al. 2015

Can. J. Fish. Aquat. Sci.

Self Cite

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“…Changes in food availability and fish density across seasons and years alter growth (e.g., within a waterbody; Matthias et al, 2018). Climate mediates growth through-among other variables-changes in temperature and growing season length (Neuheimer and Taggart, 2007;Richard and Rypel, 2013). Growth patterns, thus, may emerge among spatially separated populations as a result of within system processes (e.g., variation in age-at-maturity) and broad-scale gradients in climate (Massie et al, 2018;Richard and Rypel, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…Climate mediates growth through-among other variables-changes in temperature and growing season length (Neuheimer and Taggart, 2007;Richard and Rypel, 2013). Growth patterns, thus, may emerge among spatially separated populations as a result of within system processes (e.g., variation in age-at-maturity) and broad-scale gradients in climate (Massie et al, 2018;Richard and Rypel, 2013). Assessments of fish growth patterns that consider processes influencing intrinsic and extrinsic variation are, therefore, central to understanding fish responses to climate patterns and to inform fisheries management.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, increment widths among individuals of similar ages may vary due to individual physiological responses to favorable or harsh environmental conditions (Whitney et al, 2016). Decadal growth chronologies for a fish population can be established when multiple age groups within a population are present in samples of hard-part structures over several years (Richard and Rypel, 2013). Growth chronologies derived from fish hard-part structures have been used to assess growth patterns among system types (Richard and Rypel, 2013) as well as along changing climate gradients (e.g., precipitation and temperature; Guyette and Rabeni, 1995;Morrongiello et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…Decadal growth chronologies for a fish population can be established when multiple age groups within a population are present in samples of hard-part structures over several years (Richard and Rypel, 2013). Growth chronologies derived from fish hard-part structures have been used to assess growth patterns among system types (Richard and Rypel, 2013) as well as along changing climate gradients (e.g., precipitation and temperature; Guyette and Rabeni, 1995;Morrongiello et al, 2011). Growth information from fish hard-part structures, thus, enables the assessment of growth patterns among spatially separated populations that incorporate individual-level growth information as well as gradients in climate conditions (Rypel, 2009;Morrongiello et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

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Somatic growth patterns among animal populations are maintained through complex processes that vary among ecosystems. Changes in growth patterns may be concomitant with changes in climate; however, understanding how growth will manifest among ecosystems is limited. Information embedded within fish hard-parts (i.e., otoliths, spines, vertebrae) can account for variation in growth patterns resulting from changing climate conditions. Channel catfish Ictalurus punctatus is a freshwater fish species widely distributed across North America with limited information regarding climate influences on growth and differences in climate-growth relations among ecological systems. We assessed growth (total length) response to changing climate conditions for channel catfish among three waterbody types-pit lakes, irrigation and power-generation reservoirs, and floodcontrol reservoirs in Nebraska, USA. We used linear mixed-effect models and an information theoretic approach to assess the relative strengths among competing hypotheses. The most supported linear mixed-effect model of channel catfish growth was a function of fish age and an interaction between waterbody type and growingdegree-day (GDD). A positive trend existed in GDD from 1990 through 2008 whereby the predicted increase in GDD among waterbody types ranged from 182 GDD to 189 GDD. The predicted change in channel catfish growth resulting from increased GDD ranged from 1% to 39% among waterbody types. Channel catfish population rate functions, thus, may not respond similarly to climate conditions across ecosystem types. Changes in climate variables may contribute to system-specific responses in population dynamics for channel catfish as well as other similar freshwater species. The establishment of relations between climate and growth variables for a freshwater generalist with a plastic diet and broad temperature tolerance serves as an indication of the breadth of responses possible for freshwater fishes under global changes in climate conditions.

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Climate change is among the most serious environmental challenge facing humanity and the ecosystems that provide the goods and services on which it relies. Climate change has had a major historical influence on global biodiversity and will continue to impact the structure and function of natural ecosystems, including the provision of natural services such as fisheries. Freshwater fishery professionals (e.g. fishery managers, fish biologists, fishery scientists and fishers) need to be informed regarding the likely impacts of climate change. Written for such an audience, this chapter reviews the drivers of climatic change and the means by which its impacts are predicted. It details observed and future predicted effects of climate change on freshwater ecosystems across Arctic, temperate and tropical climatic zones and highlights those areas where data are currently limiting our understanding of how and if climate change is affecting freshwater fisheries. Observed and predicted consequences of climatic change on the ecology of freshwater fishes are examined at different levels of biological organization, including individual, population, community and ecosystem levels, and future scenarios are discussed. The chapter examines the likely impacts of such changes on the exploitation and management of freshwater fishes across recreational, artisanal and commercial fishery sectors, including observations on the vulnerability of fishers themselves to climate change.

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Water Body Type Influences Climate–Growth Relationships of Freshwater Drum

Cited by 14 publications

References 82 publications

Production rates of walleye and their relationship to exploitation in Escanaba Lake, Wisconsin, 1965–2009

Production rates of walleye and their relationship to exploitation in Escanaba Lake, Wisconsin, 1965–2009

Ecosystem-specific growth responses to climate pattern by a temperate freshwater fish

Climate change and freshwater fisheries

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