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Data in Support of Predicting Climate Change Impacts on Poikilotherms Using Physiologically Guided Species Abundance Models

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Citation

Schliep, Erin M; North, Joshua S; Kundel, Holly; Custer, Christopher A; Ruzich, Jenna K; Hansen, Gretchen J A. (2022). Data in Support of Predicting climate change impacts on poikilotherms using physiologically guided species abundance models. Retrieved from the Data Repository for the University of Minnesota, https://doi.org/10.13020/g1kt-4583.

Summary

Fish catch and effort data for three species caught in gill nets and trap nets between 1988 and 2019 as part of Minnesota Department of Natural Resources (MNDNR) fisheries surveys conducted during the summer and early fall are included from over 1,300 Minnesota lakes. The three fish species included are: bluegill (Lepomis marochirus) a warm-water adapted species, yellow perch (Perca flavescens) a cool-water adapted species, and cisco (Coregonus artedi) a cold-water adapted species. Additional data concerning lake characteristics and surrounding land cover were also included. Mean July lake surface temperature was calculated using simulated daily water temperatures. Watershed land use including agricultural, barren, forest, grass, shrub, [...]

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Attached Files

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BLG_YEP_TLC_MN_with_predictors_allyears.csv 5.14 MB text/csv
readme.txt 13.44 KB text/plain

Purpose

Fish catch and effort data for three species, along with lake characteristics, and watershed land cover. Additionally, there is mean July surface temperature derived from modeling and remotely sensed Secchi depth. Files include a Readme text file, and the data as a csv.

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ScienceBase WMS

Communities

  • Midwest CASC
  • National and Regional Climate Adaptation Science Centers

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citationTypeData Release
parts
typeDOI
valuedoi.org/10.13020/g1kt-4583

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