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Climate and land-use changes interact to drive long-term reorganization of riverine fish communities globally

Significance Understanding the mechanisms by which biological communities are reorganized by environmental change is a key question facing ecologists. Using a global database of fish abundance time series spanning recent decades, together with community-level indices describing species temperature and flow affinities, we show that two important aspects of climate change (water temperature and streamflow alteration) are interacting with land-use modification to drive increases in the dominance of species that prefer warm- and slow-water habitats. Although these community reorganizations show substantial geographical variation, they can be explained by a combination of degree of environmental changes and initial community composition. These findings offer insights to improve ecological forecasting in the future to better inform and prioritize conservation actions in freshwater ecosystems.
- Laboratoire Parole et Langage France
- University of Tennessee at Knoxville United States
- Tennessee State University United States
- French National Centre for Scientific Research France
- Washington State University United States
570, Internationality, Time Factors, Climate Change, community temperature index, Theoretical, Rivers, Models, Water Movements, Animals, freshwater, Geography, freshwater ecosystems, Fishes, Temperature, 500, Models, Theoretical, river fragmentation, climate vulnerability, community flow index, ecosystems
570, Internationality, Time Factors, Climate Change, community temperature index, Theoretical, Rivers, Models, Water Movements, Animals, freshwater, Geography, freshwater ecosystems, Fishes, Temperature, 500, Models, Theoretical, river fragmentation, climate vulnerability, community flow index, ecosystems
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).71 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
