Applying ecological thresholds to inform conservation and restoration efforts for stream fishes

Brumm, K.J., Schinegger, Rafaela., Schürz, M., Gruber, G., Borgwardt, F., Seliger, C., & Infante, D.M. (2026). Applying ecological thresholds to inform conservation and restoration efforts for stream fishes. npj Biodiversity 10.1038/s44185-026-00144-7. (In Press)

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Abstract

Understanding stream fish responses to landscape stressors is fundamental to designing management strategies to conserve and restore fluvial ecosystems. Landscape stressors, including agricultural, pasture, and urban land use, often elicit threshold responses in stream fishes, causing rapid declines in abundance with comparatively small increases in stressor intensity. However, the use of thresholds to inform conservation and restoration decision-making remains limited, particularly when targeting entire stream fish assemblages at continental spatial extents. Here, we apply known threshold values to characterize the vulnerability of stream fishes across ~1.73 million stream reaches in the United States and Europe. We develop a decision-support framework that integrates threshold status indices with network catchment summaries of protected area coverage to prioritize (a) conservation actions in poorly protected catchments approaching land use thresholds and (b) restoration actions in catchments that have exceeded thresholds despite high protected area coverage. Our findings highlight the vulnerability of stream fishes to landscape stressors across two continents and demonstrate how integrating threshold-based vulnerability assessments with protected area summaries can support management decision-making and help address the freshwater biodiversity crisis.

Item Type: Article
Research Programs: Biodiversity and Natural Resources (BNR)
Biodiversity and Natural Resources (BNR) > Biodiversity, Ecology, and Conservation (BEC)
Depositing User: Michaela Rossini
Date Deposited: 29 Jun 2026 07:26
Last Modified: 29 Jun 2026 07:26
URI: https://pure.iiasa.ac.at/21681

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