Simulating drying and human impacts on river networks to evaluate biological quality indices performance through the lens of metacommunity theory
Abstract
Incorporating metacommunity perspectives into bioassessment represents a major challenge in managing drying river networks, where drying‐induced fragmentation compromises the performance of biological indices to assess their ecological status. Current indices focus on local community responses to stressors and neglect the effect of regional processes, such as spatiotemporal connectivity and dispersal, on metacommunity assembly. In this work, we explored the effect of drying on the performance of a widely used biological index IBMWP (Iberian Biological Monitoring Working Party) using metacommunity simulations on a synthetic drying river network. We assessed how different gradients of drying‐driven fragmentation and human impact extent determine local richness and the biological index scores by combining simulations with biomonitoring information. We used a coalescent metacommunity model to simulate the exchange of individuals between local communities along synthetic drying river networks subjected to different drying extent, intensity and human impact extent scenarios. Additionally, we considered two major characteristics for each simulated taxon: (i) tolerance to human impacts and (ii) dispersal strategy (flying, swimming or drifting). For each simulation, we obtained local richness and the biological index value. Then, we calculated biological index performance, defined as the capacity to distinguish between impacted and non‐impacted sites. Finally, we tested our approach in six non‐impacted European drying river networks, with available drying information. Our results showed that low spatiotemporal connectivity consistently led to decreased local richness and low index scores, reflecting poor biological quality. As drying extent and intensity increased, drying‐induced fragmentation significantly reduced the biological index performance. With a 50% increase in drying extent, index performance fell around 60% and at high drying levels, it dropped more than 90%. This decay followed a convex pattern, with a marked drop as soon as drying appeared in the catchment and levelling off at higher drying extents. Synthesis and applications . This work constitutes a first step towards developing simulation‐based assessments that incorporate catchment drying patterns to support biomonitoring of drying river networks. Our approach can inform stakeholders when current methods are likely to fail and contribute to decision‐making on whether adapting current methods is possible or developing new indices is necessary. Read the free Plain Language Summary for this article on the journal's blog .
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BibTeX
@article{ersoy2026simulating,
title = {{Simulating drying and human impacts on river networks to evaluate biological quality indices performance through the lens of metacommunity theory}},
author = {Zeynep Ersoy and David Cunillera Montcusi and Martí Piñero-Fernández and Miguel Cañedo-Argüelles and María Mar Sánchez-Montoya and Núria Bonada and Núria Cid},
journal = {Journal of Applied Ecology},
year = {2026},
month = nov,
doi = {10.1111/1365-2664.70408},
url = {https://hal.science/hal-05854015v1},
note = {CC BY-NC},
}
RIS
TY - JOUR
TI - Simulating drying and human impacts on river networks to evaluate biological quality indices performance through the lens of metacommunity theory
AU - Zeynep Ersoy
AU - David Cunillera Montcusi
AU - Martí Piñero-Fernández
AU - Miguel Cañedo-Argüelles
AU - María Mar Sánchez-Montoya
AU - Núria Bonada
AU - Núria Cid
PY - 2026
DA - 2026/11/05
JO - Journal of Applied Ecology
DO - 10.1111/1365-2664.70408
UR - https://hal.science/hal-05854015v1
AB - Incorporating metacommunity perspectives into bioassessment represents a major challenge in managing drying river networks, where drying‐induced fragmentation compromises the performance of biological indices to assess their ecological status. Current indices focus on local community responses to stressors and neglect the effect of regional processes, such as spatiotemporal connectivity and dispersal, on metacommunity assembly. In this work, we explored the effect of drying on the performance of a widely used biological index IBMWP (Iberian Biological Monitoring Working Party) using metacommunity simulations on a synthetic drying river network. We assessed how different gradients of drying‐driven fragmentation and human impact extent determine local richness and the biological index scores by combining simulations with biomonitoring information. We used a coalescent metacommunity model to simulate the exchange of individuals between local communities along synthetic drying river networks subjected to different drying extent, intensity and human impact extent scenarios. Additionally, we considered two major characteristics for each simulated taxon: (i) tolerance to human impacts and (ii) dispersal strategy (flying, swimming or drifting). For each simulation, we obtained local richness and the biological index value. Then, we calculated biological index performance, defined as the capacity to distinguish between impacted and non‐impacted sites. Finally, we tested our approach in six non‐impacted European drying river networks, with available drying information. Our results showed that low spatiotemporal connectivity consistently led to decreased local richness and low index scores, reflecting poor biological quality. As drying extent and intensity increased, drying‐induced fragmentation significantly reduced the biological index performance. With a 50% increase in drying extent, index performance fell around 60% and at high drying levels, it dropped more than 90%. This decay followed a convex pattern, with a marked drop as soon as drying appeared in the catchment and levelling off at higher drying extents. Synthesis and applications . This work constitutes a first step towards developing simulation‐based assessments that incorporate catchment drying patterns to support biomonitoring of drying river networks. Our approach can inform stakeholders when current methods are likely to fail and contribute to decision‐making on whether adapting current methods is possible or developing new indices is necessary. Read the free Plain Language Summary for this article on the journal's blog .
SN - 0021-8901
SN - 1365-2664
ER -