Environmental Data Initiative logo
EDI Staging Environment

This data package was submitted to a staging environment for testing purposes only. Use of these data for anything other than testing is strongly discouraged.

Data Package Summary    View Full Metadata

  • Production, biomass, and yield estimates for walleye populations in the Ceded Territory of Wisconsin from 1990-2017
  • Embke, Holly; University of Wisconsin
    Rypel, Andrew
    Carpenter, Stephen; University of Wisconsin
    Sass, Greg
    Cichosz, Thomas
    Hennessy, Joseph
    Vander Zanden, Jake; University of Wisconsin
  • 2019-07-30
  • Embke, H., A. Rypel, S. Carpenter, G. Sass, T. Cichosz, J. Hennessy, and J. Vander Zanden. 2019. Production, biomass, and yield estimates for walleye populations in the Ceded Territory of Wisconsin from 1990-2017 ver 1. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-27).

  • Recreational fisheries are valued at $190B globally and constitute the predominant use of wild fish stocks in developed countries, with inland systems contributing the dominant fraction of recreational fisheries. Although inland recreational fisheries are thought to be highly resilient and self-regulating, the rapid pace of environmental change is increasing the vulnerability of these fisheries to overharvest and collapse. We evaluate an approach for detecting hidden overharvest of inland recreational fisheries based on empirical comparisons of harvest and biomass production. Using an extensive 28-year dataset of the walleye fisheries in Northern Wisconsin, USA, we compare empirical biomass harvest (Y) and calculated production (P) and biomass (B) for 390 lake-year combinations. Overharvest occurs when harvest exceeds production in that year. Biomass and biomass turnover (P/B) both declined by about 30% and about 20% over time while biomass harvest did not change, causing overharvest to increase. Our analysis revealed 40% of populations were production-overharvested, a rate about 10x higher than current estimates based on numerical harvest used by fisheries managers. Our study highlights the need for novel approaches to evaluate and conserve inland fisheries in the face of global change.

  • N: 46.9339      S: 44.4634      E: -86.8734      W: -92.8855
  • knb-lter-ntl.373.1  (Uploaded 2019-07-31)  
  • Data Policies This information is released to the public domain under the Creative Commons license CC-BY 4.0 (see: https://creativecommons.org/licenses/by/4.0/). It may be distributed, remixed, and built upon. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. The consumer of these data ("Data User" herein) should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER
  • Analyze this data package using:           

Copyright 2024 Environmental Data Initiative. This material is based upon work supported by the National Science Foundation under grants #2223103 and #2223104. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Please contact us with questions, comments, or for technical assistance regarding this web site or the Environmental Data Initiative. Please read our privacy policy to know what information we collect about you and to understand your privacy rights.

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

UNM logo UW-M logo