Community science helps digitize 78 years of fish and habitat data for thousands of lakes in Michigan, USA


  • Tranvik, L. J. et al. Lakes and reservoirs as regulators of carbon cycling and climate. Limnology and Oceanography 54, 2298–2314 (2009).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • Peters N. E. et al. Hydrology and biogeochemistry linkages. In: Wilderer P. ed. Treatise on water science, Vol. 2. Oxford, Academic Press. Pp. 271–304. (2011).

  • U.S. Department of the Interior, U.S. Fish and Wildlife Service [USDOI]. National survey of fishing, hunting, and wildlife-associated recreation. U.S. Department of Commerce, U.S. Census Bureau. https://www.fws.gov/sites/default/files/documents/Final_2022-National-Survey_101223-accessible-single-page.pdf (2022).

  • Lansford, N. H. & Jones, L. L. Recreational and aesthetic value of water using hedonic price analysis. Journal of Agricultural and Resource Economics 20(2), 341–355 (1995).


    Google Scholar
     

  • Reynaud, A. & Lanzanova, D. A global meta-analysis of the value of ecosystem services provided by lakes. Ecological Economy 137, 184–194, https://doi.org/10.1016/j.ecolecon.2017.03.001 (2017).

    Article 

    Google Scholar
     

  • O’Reilly, C. M. et al. Rapid and highly variable warming of lake surface waters around the globe. Geophysical Research Letters 42(10), 773–781 (2015).


    Google Scholar
     

  • U.S. Environmental Protection Agency [USEPA]. National Lakes Assessment 2012: A Collaborative Survey of Lakes in the United States. EPA 841-R-16-113. U.S. Environmental Protection Agency, Washington, DC. https://nationallakesassessment.epa.gov/ (2016).

  • Reid, A. J. et al. Emerging threats and persistent conservation challenges for freshwater biodiversity. Biological Reviews 94, 849–873, https://onlinelibrary.wiley.com/doi/full/10.1111/brv.12480 (2018).

    Article 
    PubMed 

    Google Scholar
     

  • Alofs, K. M., Jackson, D. A. & Lester, N. P. Ontario freshwater fishes demonstrate differing range-boundary shifts in a warming climate. Divers. Distrib. 20, 123–136 (2014).

    Article 

    Google Scholar
     

  • Hansen, G. J. A., Read, J. S., Hansen, J. F. & Winslow, L. A. Projected shifts in fish species dominance in Wisconsin lakes under climate change. Global Change Biol 23, 1463–1476 (2017).

    Article 
    ADS 

    Google Scholar
     

  • King, K. B. S. et al. Using historical fish catch data to evaluate predicted changes in relative abundance in response to a warming climate. Ecography 2023, 8, https://doi.org/10.1111/ecog.06798 (2023).

    Article 

    Google Scholar
     

  • Whittier, T. R. et al. Indicators of Ecological Stress and Their Extent in the Population of Northeastern Lakes: A Regional-Scale Assessment. BioScience 52(3), 235–247 (2012).

    Article 

    Google Scholar
     

  • Solokas M. et al. Shrinking body size and climate warming: many freshwater salmonids do not follow the rule. Global Change Biology. https://doi.org/10.1111/gcb.16626 (2023).

  • Lynch, A. J. et al. Climate change effects on North American inland fish populations and assemblages. Fisheries 41(7), 346–361, https://doi.org/10.1080/03632415.2016.1186016 (2016).

    Article 

    Google Scholar
     

  • Magee, M. R. et al. Scientific advances and adaptation strategies for Wisconsin lakes facing climate change. Lake and Reservoir Management 35(4), 364–381, https://doi.org/10.1080/10402381.2019.1622612 (2019).

    Article 

    Google Scholar
     

  • Tingley, R. W. et al. Adapting to climate change: guidance for the management of inland glacial lake fisheries. Lake and Reservoir Management 35(4), 435–452, https://doi.org/10.1080/10402381.2019.1678535 (2019).

    Article 

    Google Scholar
     

  • Müller, F. et al. Assessing resilience in long-term ecological data sets. Ecological Indicators 65, 10–43 (2016).

    Article 

    Google Scholar
     

  • Kling, M. M., Auer, S. L., Comer, P. J., Ackerly, D. D. & Hamilton, H. Multiple axes of ecological vulnerability to climate change. Global Change Biology 26(5), 2798–2813 (2020).

    Article 
    ADS 
    PubMed 

    Google Scholar
     

  • Moore, J. W. & Schindler, D. E. Getting ahead of climate change for ecological adaptation and resilience. Science 376(6600), 1421–1426 (2022).

    Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar
     

  • Willis, K. J. et al. How can a knowledge of the past help to conserve the future? Biodiversity conservation and the relevance of long-term ecological studies. Philosophical Transactions of the Royal Society: 362175–187 (2007).

  • Dietl, G. P. et al. Conservation Paleobiology: Leveraging Knowledge of the Past to Inform Conservation and Restoration. The Annual Review of Earth and Planetary Sciences 43, 79–103, https://doi.org/10.1146/annurev-earth-040610-133349 (2015).

    Article 
    ADS 
    CAS 

    Google Scholar
     

  • Stein, E. D. et al. Establishing Targets for Regional Coastal Wetland Restoration Planning Using Historical Ecology and Future Scenario Analysis: The Past, Present, Future Approach. Estuaries and Coasts 43, 207–222, https://doi.org/10.1007/s12237-019-00681-4 (2020).

    Article 

    Google Scholar
     

  • Tingley, M. W. & Beissinger, S. R. Detecting range shifts from historical species occurrences: new perspectives on old data. Trends in Ecology and Evolution 24(11), 625–33, https://doi.org/10.1016/j.tree.2009.05.009 (2009).

    Article 
    PubMed 

    Google Scholar
     

  • Pyke, G. H. & Ehrlich, P. R. Biological collections and ecological/environmental research: a review, some observations and a look to the future. Biological Reviews of the Cambridge Philosophical Society 85, 247–266 (2010).

    Article 
    PubMed 

    Google Scholar
     

  • Urban, M. C. et al. Improving the forecast for biodiversity under climate change. Science 353(6304), aad8466 (2016).

    Article 
    PubMed 

    Google Scholar
     

  • Kwok, R. Historical data: Hidden in the past. Nature 549, 419–421, https://doi.org/10.1038/nj7672-419 (2017).

    Article 

    Google Scholar
     

  • Astudillo-Clavijo, V., Mankis, T., & López-Fernández, H. Opening the museum’s vault: historical field records preserve reliable ecological data. The American Naturalist. https://doi.org/10.1086/728422 (2024).

  • Thomer, A., Vaidya, G., Guralnick, R., Bloom, D., & Russell L. From documents to datasets: A MediaWiki-based method of annotating and extracting species observations in century-old field notebooks. Zookeys. (209):235-53. https://doi.org/10.3897/zookeys.209.3247 (2012).

  • Singer, R. A., Ellis, S. & Page, L. M. Awareness and use of biodiversity collections by fish biologists. Journal of Fish Biology 96(2), 297–306 (2020).

    Article 
    PubMed 

    Google Scholar
     

  • Lendemer, J. et al. The extended specimen network: A strategy to enhance US biodiversity collections, promote research and education. BioScience 70(1), 23–30, https://doi.org/10.1093/biosci/biz140 (2020).

    Article 
    PubMed 

    Google Scholar
     

  • Kelly, J. A., Farrell, S. L., Hendrickson, L. G., Luby, J. & Mastel, K. L. A critical literature review of historic scientific analog data: uses, successes, and challenges. Data Science Journal 21, 14–14 (2022).

    Article 

    Google Scholar
     

  • Hamad, K., & Kaya, M. A detailed analysis of optical character recognition technology. International Journal of Applied Mathematics Electronics and Computers, (Special Issue-1), 244-249 (2016).

  • Cox, J. et al. Defining and Measuring Success in Online Citizen Science: A Case Study of Zooniverse Projects. in Computing in Science & Engineering 17(no. 4), 28–41, https://doi.org/10.1109/MCSE.2015.65 (2015).

    Article 

    Google Scholar
     

  • Dickinson, J. L. et al. The current state of citizen science as a tool for ecological research and public engagement. Frontiers in Ecology and the Environment 10(6), 291–297, https://doi.org/10.1890/110236 (2012).

    Article 

    Google Scholar
     

  • Grabda, E. E. et al. Mismatch between climate-based bioenergetics model of fish growth and long-term and regional-scale empirical data. Canadian Journal of Fisheries and Aquatic Sciences 82, 1–15, https://doi.org/10.1139/cjfas-2024-0266 (2025).

    Article 

    Google Scholar
     

  • Zooniverse. Panoptes-cli. v1.1.5. Github repository. https://github.com/zooniverse/panoptes-cli (2021).

  • Alofs, K. M. et al. Community science brings together natural history collections and historical survey data to understand changing ecological patterns. Bioscience https://doi.org/10.1093/biosci/biae131 (2024).

    Article 

    Google Scholar
     

  • Krawczyk, C., Langley, A., Allen, C., McMaster, A. & Wolfenbarger, Z. zooniverse/aggregation-for-caesar: Version 4.0.0 (v4.0.0). Zenodo https://doi.org/10.5281/zenodo.6979588 (2022).

  • Bailey, R. M., William, C. L., & Smith, G. R. An Atlas of Michigan Fishes with Keys and Illustrations for Their Identification. Miscellaneous Publications, Museum of Zoology, University of Michigan. No. 192, pp5-10. ISSN 0076-8405 (2004).

  • Michigan Department of Natural Resources (MDNR). FISHHUB Service, FISH Hydro Polygons. Downloaded 15 Nov 2024. https://midnr.maps.arcgis.com/home/item.html?id=3e5ecc59566c409d8b38c86f7ca62e08&sublayer=3 (2024).

  • Open Knowledge Foundation. reconcile-csv-0.1.2 https://okfnlabs.org/reconcile-csv/ (2013).

  • King, K. et al. CHANGES Project – Lake Summary Curated Data [Data set], University of Michigan – Deep Blue Data. https://doi.org/10.7302/72e8-ka38 (2025).

  • King, K. et al. CHANGES Project – Fish Collection Curated Data [Data set], University of Michigan – Deep Blue Data. https://doi.org/10.7302/1pz4-x763 (2025).

  • King, K. et al. CHANGES Project – Fish Growth Curated Data [Data set], University of Michigan – Deep Blue Data. https://doi.org/10.7302/h8hp-gw58 (2025).

  • Alofs, K. et al. Collections, Heterogeneous data, and Next Generation Ecological Studies (CHANGES) – Michigan Lake Surveys. University of Michigan – Deep Blue Data. https://doi.org/10.7302/ggk0-sx94 (2024).

  • Alofs, K. et al. CHANGES Project – Lake Summary (SUMM) [Data set], University of Michigan – Deep Blue Data. https://doi.org/10.7302/k18b-m416 (2024).

  • Alofs, K. et al. CHANGES Project – Fish Collection (FISHc) [Data set], University of Michigan – Deep Blue Data. https://doi.org/10.7302/mr06-c572 (2024).

  • Alofs, K. et al. CHANGES Project – Fish Growth Analysis (GROW) [Data set], University of Michigan – Deep Blue Data. https://doi.org/10.7302/w1a0-8t39 (2024).

  • Cheruvelil, K. S. et al. LAGOS-US LOCUS v1.0: Data module of location, identifiers, and physical characteristics of lakes and their watersheds in the conterminous U.S. Limnology and Oceanography Letters 6(5), 270–292, https://doi.org/10.1002/lol2.10203 (2021).

    Article 

    Google Scholar
     

  • Winslow, L. A., Hansen, G. J. A., Read, J. S. & Notaro, M. Large-scale modeled contemporary and future water temperature estimates for 10774 Midwestern U.S. Lakes. Scientific Data 4, 170053, https://doi.org/10.1038/sdata.2017.53 (2017).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Hansen, G. J. A., Wehrly, K. E., Vitense, K., Walsh, J. R. & Jacobson, P. C. Quantifying the Resilience of Coldwater Lake Habitat to Climate and Land Use Change to Prioritize Watershed Conservation. Ecosphere 13(7), e4172, https://doi.org/10.1002/ecs2.4172 (2022).

    Article 

    Google Scholar
     

  • Rypel, A. L., Lyons, J., Griffin, J. D. T. & Simonson, T. D. Seventy-Year Retrospective on Size-Structure Changes in the Recreational Fisheries of Wisconsin. Fisheries 41(5), 230–243, https://doi.org/10.1080/03632415.2016.1160894 (2016).

    Article 

    Google Scholar
     

  • Loewen, C. J. G. et al. Bioregions are predominantly climatic for fishes of northern lakes. Global Ecology and Biogeography 31, 233–246, https://doi.org/10.1111/geb.13424 (2022).

    Article 

    Google Scholar
     

  • Meineke, E. K., Davies, T. J., Daru, B. H. & Davis, C. C. Biological collections for understanding biodiversity in the Anthropocene. Philosophical Transactions of the Royal Society 374(1763), 20170386374 (2018).


    Google Scholar
     

  • Turner, T. F. et al. Long-term ecological research in freshwaters enabled by regional biodiversity collections, stable isotope analysis, and environmental informatics. BioScience 73(7), 479–493 (2023).

    Article 
    PubMed 

    Google Scholar
     

  • Nanglu, K. et al. The nature of science: The fundamental role of natural history in ecology, evolution, conservation, and education. Ecology and Evolution. 13, e10621 (2023).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Perrine, J. D. & Patton, J. L. Letters to the Future. In Canfield M. R. (Ed) Field Notes on Science & Nature. Harvard University Press, Cambridge, Massachusetts (2011).

  • R Core Team. R: a language and environment for statistical computing version 4.4.0. R Foundation for Statistical Computing, Vienna, Austria. Available from https://www.R-project.org/ (2024).

  • King, K. CHANGES-UM/summ_fishc_grow: Lake summary, fish collection, and fish growth data (v1.0.0). Zenodo https://doi.org/10.5281/zenodo.15389937 (2025).



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