Data In Support Of Accounting For Spatio-Temporal Variation In Catachability In Joint Species Distribution Models
2022-04-21
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Data In Support Of Accounting For Spatio-Temporal Variation In Catachability In Joint Species Distribution Models
Published Date
2022-04-21
Author Contact
North, Joshua S.
joshuanorth@mail.missouri.edu
joshuanorth@mail.missouri.edu
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Survey Data-Quantitative
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Abstract
Fish data on six species (black crappie (Pomoxis nigromaculatus), bluegill (Lepomis macrochirus), largemouth bass (Micropterus salmoides), northern pike (Esox lucius), walleye (Sander vitreus), and yellow perch (perca flavescens)) caught in gill nets and trap nets between 2000 and 2019 during Minnesota Department of Natural Resources (MNDNR) fisheries surveys done in the months of June through September. Fish catch and effort (number of nets set overnight) comes from over 1,000 Minnesota lakes. In addition to fisheries data, we included additional information concerning lake characteristics, predicted water temperature, and watershed land use. Lake area and maximum depth were obtained from MNDNR public databases. Watershed land use was calculated using the 2016 National Land Cover Database. Water clarity, which is described by annual lake-specific median values derived from remotely sensed Secchi depth courtesy of Max Gilnes. Lastly, water temperatures simulated with the general lake model were also included. Data is now being released as part of the publication process related to the paper that references this data; which is listed below.
Description
Fish catch and effort data, and environmental data for Minnesota lakes used to analyze spatial and temporal variation in catchability and relative abundance. Daily modeled water temperature data throughout the fishing season (not just the surveyed dates) that is used to constrain the effort scaling to have a mean of 1. Readme metadata explainer file for the 2 data files attached.
Referenced by
North, J.N., E.M. Schliep, G.J.A. Hansen, H. Kundel, C.A. Custer, P. McLaughlin, and T. Wagner. Accounting for Spatio-Temporal Variation in Catchability in Joint Species Distribution Models. In Review.
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U.S. Geological Survey Midwest Climate Adaptation Science Center Grant No.G20AC00096
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North, Joshua S.; Schliep, Erin M.; Hansen, Gretchen J.A.; Kundel, Holly; Custer, Christoper A.; McLaughlin, Paul. (2022). Data In Support Of Accounting For Spatio-Temporal Variation In Catachability In Joint Species Distribution Models. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/p4rw-z926.
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raw_temp.csv
Daily modeled water temperature data throughout the fishing season (not just the surveyed dates) that is used to constrain the effort scaling to have a mean of 1.
(377.07 MB)
fish_data_raw.csv
Fish catch and effort data, and environmental data for Minnesota lakes used to analyze spatial and temporal variation in catchability and relative abundance.
(13.02 MB)
readme_227105.txt
Description of data
(16.07 KB)
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