Dietary overlap and selectivity among silver carp and two native filter feeders in the Wabash River

Minder, Mario; Pyron, Mark

doi:10.1111/eff.12365

Cited by 24 publications

(9 citation statements)

References 24 publications

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“…2017). The negative effects of Silver Carp on density and condition of native planktivorous fishes were confirmed by other studies, suggesting that competition with Silver Carp for plankton has negatively affected native planktivore condition and growth (Minder and Pyron 2018; Fletcher et al. 2019).…”

Section: Discussionsupporting

confidence: 62%

“…They found that densities of Gizzard Shad and piscivorous Bowfin Amia calva declined in the Mississippi River after the introduction and irruption of the Silver Carp population, while their laboratory results with age-0 stages of Silver Carp, Gizzard Shad, and Bigmouth Buffalo showed reduced survival of Gizzard Shad and reduced growth of Bigmouth Buffalo in the presence of high Silver Carp densities (Phelps et al 2017). The negative effects of Silver Carp on density and condition of native planktivorous fishes were confirmed by other studies, suggesting that competition with Silver Carp for plankton has negatively affected native planktivore condition and growth (Minder and Pyron 2018;Fletcher et al 2019).…”

Section: Food Web Response Relative To Bigheaded Carp Biomass Across Lake Habitats and Scenariosmentioning

confidence: 57%

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Potential Effects of Bigheaded Carps on Four Laurentian Great Lakes Food Webs

Rutherford

Zhang

Kao

et al. 2021

N American J Fish Manag

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Bigheaded carps (BHCs; Silver Carp Hypophthalmichthys molitrix and Bighead Carp H. nobilis) are economically and culturally important in Asia and Europe but are considered highly invasive throughout the Mississippi River watershed and pose a threat to the food web and fisheries of the Laurentian Great Lakes. We used the Ecopath with Ecosim model framework to evaluate potential risk of BHC population growth and food web effects in four Great Lakes habitats, including mesotrophic waters of Saginaw Bay (Lake Huron) and Lake Erie and the oligotrophic main basins of Lakes Michigan and Huron. We simulated BHC population growth and food web effects under different scenarios of BHC production rates, prey vulnerability to BHCs, and availability of age‐0 BHCs to predation by salmonines. In the main basins of Lakes Michigan and Huron, the projected BHC population growth was low or negative, with a projected final BHC biomass of 0.5–1.1 times the initial introductory biomass (2% of total fish biomass for each BHC species), and BHCs had negligible effects on most food web groups across all scenarios. In contrast, in Saginaw Bay and Lake Erie, the projected BHC biomass was 2.5–12.5 times higher than the initial biomass across all scenarios, and the largest increases occurred under scenarios of high prey vulnerability to BHCs and high BHC production rates. High projected BHC biomass in Saginaw Bay and Lake Erie had negative effects on zooplankton and planktivorous fish groups and mixed effects on piscivores but had relatively negligible effects on most other food web groups across all scenarios. Our results are consistent with reported BHC effects on food webs in the Mississippi River and its tributaries and inform efforts to prevent BHC invasion of the Great Lakes.

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Section: Discussionsupporting

confidence: 62%

Section: Food Web Response Relative To Bigheaded Carp Biomass Across Lake Habitats and Scenariosmentioning

confidence: 57%

Potential Effects of Bigheaded Carps on Four Laurentian Great Lakes Food Webs

Rutherford

Zhang

Kao

et al. 2021

N American J Fish Manag

View full text Add to dashboard Cite

show abstract

“…The proportions of herbivores and detritivores were also low in non‐invaded reaches, indicating that direct competition for Silver Carp within these reaches may be sparse following future invasion. Silver Carp also share significant diet overlap with several species across the UMRS (Minder & Pyron, 2018). As an example, Gizzard Shad ( Dorosoma cepedianum ) is classified as an herbivore and directly competes with Silver Carp.…”

Section: Discussionmentioning

confidence: 99%

Evidence of alternative trophic pathways for fish consumers in a large river system in the face of invasion

Gatto

Ickes

Chick

2022

River Research & Apps

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Large rivers are susceptible to anthropogenic alteration, which can result in drastic changes to their functional ecology. We evaluated spatial–temporal changes in the functional fish communities of the Upper Mississippi River System (UMRS) using data from six study reaches. Species were classified into one of 14 feeding guilds and mass per unit effort (MPUE) was then calculated for each feeding guild annually per gear type. MPUE was standardized using the multigear mean standardization method (MGMS) and log‐transformed. Both ANOSIM and Chi‐square tests were used to determine differences in MPUE among reaches. We then estimated functional diversity by calculating the number of functional groups (N), Margalef's d, Pielou's J′, Shannon's Diversity, and Simpson's Diversity Index. An AR(1) time series model was used to investigate proportional changes in each guild over 25 years. To evaluate the effect of invasive Carp species in invaded reaches, a Chow test was applied to observations between 2000 and 2005. Analyses revealed differences in the functional fish community among reaches. We found differences in functional diversity metrics among study reaches, but there was little evidence that this differed between invaded and non‐invaded reaches. Results determined that invertivore/detritivores have been consistently declining system‐wide, with few groups showing a net change. There was also little evidence that invasion altered the proportion of any functional guild. Evaluating the spatial–temporal patterns of functional communities is beneficial to understanding the resilience of a system and can provide further insight into its trophic needs when considering future restoration initiatives.

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“…To answer these questions, we take one‐day forecasting of in‐stream nitrate concentrations in Wabash River Basin (WRB) in the Midwestern US as a case study. The WRB is the epicentre of nutrient pollution in the United States (Gammon, 1998; Minder & Pyron, 2018; Muenich et al, 2016; Tan et al, 2016; US Army Corps of Engineers, 2011) and includes a growing network of real‐time nutrient monitoring that could be leveraged for operational forecasting. Illinois, Indiana and Ohio are actively expanding nutrient monitoring with real‐time sensors in the basin and water quality impairments are increasingly concerning (Tan et al, 2016), making the WRB a relevant test case relvantent from management and practical standpoints.…”

Section: Introductionmentioning

confidence: 99%

A machine learning approach to water quality forecasts and sensor network expansion: Case study in the Wabash River Basin, United States

Balson

Ward

2022

Hydrological Processes

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Midwestern cities require forecasts of surface nitrate loads to bring additional treatment processes online or activate alternative water supplies. Concurrently, networks of nitrate monitoring stations are being deployed in river basins, co-locating water quality observations with established stream gauges. However, tools to evaluate the future value of expanded networks to improve water quality forecasts remains challenging. Here, we construct a synthetic data set of stream discharge and nitrate for the Wabash River Basin-one of the United States' most nutrient polluted basinsusing the established Agro-IBIS and THMB models. Synthetic data enables rapid, unbiased and low-cost assessment of potential sensor placements to support management objectives, such as near-term forecasting. Using the synthetic data, we established baseline 1-day forecasts for surface water nitrate at 12 cities in the basin using support vector machine regression (SVMR; RMSE 0.48-3.3 ppm). Next, we used the SVMRs to evaluate the improvement in forecast performance associated with deployment of additional nitrate sensors. We identified the optimal sensor placement to improve forecasts at each city, and the relative value of sensors at each candidate location. Finally, we assessed the co-benefit realized by other cities when a sensor is deployed to optimize a forecast at one city, finding significant positive externalities in all cases. Ultimately, our study explores the potential for machine learning to make near-term predictions and critically evaluate the improvement realized by expanding a monitoring network. While we use nitrate pollution in the Wabash River Basin as a case study, this approach could be readily applied to any problem where the future value of sensors and network design are being evaluated.

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Dietary overlap and selectivity among silver carp and two native filter feeders in the Wabash River

Cited by 24 publications

References 24 publications

Potential Effects of Bigheaded Carps on Four Laurentian Great Lakes Food Webs

Potential Effects of Bigheaded Carps on Four Laurentian Great Lakes Food Webs

Evidence of alternative trophic pathways for fish consumers in a large river system in the face of invasion

A machine learning approach to water quality forecasts and sensor network expansion: Case study in the Wabash River Basin, United States

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