Threshold responses of riverine fish communities to land use conversion across regions of the world
Abstract
The growing human enterprise has sparked greater interest in identifying ecological thresholds in land use conversion beyond which populations or communities demonstrate abrupt nonlinear or substantive change in species composition. Such knowledge remains fundamental to understanding ecosystem resilience to environmental degradation and informing land use planning into the future. Confronting this challenge has been largely limited to inferring thresholds in univariate metrics of species richness and indices of biotic integrity and has largely ignored how land use legacies of the past may shape community responses of today. By leveraging data for 13,069 riverine sites from temperate, subtropical, and boreal climate zones on four continents, we characterize patterns of community change along diverse gradients of urbanization and agricultural land use, and identity threshold values beyond which significant alterations in species composition exists. Our results demonstrate the apparent universality by which freshwater fish communities are sensitive to even low levels of watershed urbanization (range of threshold values: 1%–12%), but consistently higher (and more variable) levels of agricultural development (2%–37%). We demonstrated that fish community compositional thresholds occurred, in general, at lower levels of watershed urbanization and agriculture when compared to threshold responses in species richness. This supports the notion that aggregated taxon‐specific responses may better reflect the complexity of assemblage responses to land use development. We further revealed that the ghost of land use past plays an important role in moderating how current‐day fish communities respond to land use intensification. Subbasins of the United States experiencing greater rates of past land use change demonstrated higher current‐day thresholds. Threshold responses of community composition, such as those identified in our study, illustrate the need for globally coordinated efforts to prioritize country‐specific management and policy initiatives that ensure that freshwater fish diversity is not inevitably lost in the future.
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Analysis of species-level or functional-group responses allows for estimation of thresholds for major community shifts in response to environmental change.
“Analysis of species‐level or functional‐group responses allows for estimation of thresholds for major community shifts in response to environmental change (Baker & King, 2010; Brejão et al., 2017; Chen & Olden, 2020).”
From Threshold responses of floating meadow fish communities to floodplain forest cover in the lower Amazon River (2025) · cites this paper as Chen & Olden, 2020
Cites
Global effects of land use on local terrestrial biodiversity
Newbold, T., Hudson, L. N., Hill, S. L. L., Contu, S., Lysenko, I., Senior, R. A., Börger, L., Bennett, D. J., Choimes, A., Collen, B., et al. (2015) · Nature · doi:10.1038/nature14324 · Cited by 4,352 · see citing works
Bending the Curve of Global Freshwater Biodiversity Loss: An Emergency Recovery Plan
Tickner, D., Opperman, J. J., Abell, R., Acreman, M., Arthington, A. H., Bunn, S. E., Cooke, S. J., Dalton, J., Darwall, W., Edwards, G., et al. (2020) · BioScience · doi:10.1093/biosci/biaa002 · Cited by 1,241 · cited 1× · see citing works
“Land use conversion is a pervasive threat to freshwater ecosystems that compromises water quality, increases water temperature, and alters hydrologic regimes and physical habitat (Reid et al., 2019; Tickner et al., 2020).”
BackgroundSelf-citationEllis, E. C., Kaplan, J. O., Fuller, D. Q., Vavrus, S., Klein Goldewijk, K., & Verburg, P. H. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1217241110 · Cited by 812 · see citing works
Estimating local biodiversity change: a critique of papers claiming no net loss of local diversity
Gonzalez, A., Cardinale, B. J., Allington, G. R. H., Byrnes, J., Arthur Endsley, K., Brown, D. G., Hooper, D. U., Isbell, F., O'Connor, M. I., & Loreau, M. (2016) · Ecology · doi:10.1890/15-1759.1 · Cited by 354 · see citing works
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Grinstead, S., Arantes, C. C., Winemiller, K. O., Kelso‐Winemiller, L. C., de Oliveira, J. A., Petrere, M., & Freitas, C. E. C. (2025) · Conservation Biology · doi:10.1111/cobi.70110
- Authors
- Chen, K., & Olden, J. D.
- Affiliations
- Nanjing Agricultural University (CN)
- University of Washington (US)
- Corresponding author
- Olden, Julian D.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2020-07-07
- Volume
- 26
- Issue
- 9
- Pages
- 4952-4965
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W3036883640
- Cited by
- 106
- References
- 4
- Citations by year
- 2026: 15 · 2025: 25 · 2024: 14 · 2023: 15 · 2022: 22 · 2021: 14 · 2020: 1
- FWCI
- 8.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Global Change Biology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- China Scholarship Council (201806855012)
- Nanjing Agricultural University
- University of Washington
- Topics
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Fish Ecology and Management Studies
- Physical Sciences › Environmental Science › Ecology › Freshwater macroinvertebrate diversity and ecology
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
- Keywords
- ecological thresholds, riverine fish communities, land use conversion, urbanization, agricultural land use, species composition change, freshwater biodiversity, land use legacy, ecosystem resilience, species richness, biological integrity, watershed development
- MeSH terms
- Agriculture, Animals, Fishes, Humans, Urbanization, Ecosystem, Biodiversity
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