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Exploring the spatio-temporal dynamics of disturbed metacommunities: a mechanistic modeling approach to species resistance and resilience strategies in Drying River Networks
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  • Lysandre Journiac,
  • Franck Jabot,
  • Claire Jacquet,
  • Annika Künne,
  • Mathis Messager,
  • Louise Mimeau,
  • Thibault Datry,
  • Nuria Bonada,
  • FRANCOIS Munoz,
  • Loïc Chalmandrier
Lysandre Journiac
Université Grenoble Alpes
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Franck Jabot
French National Research Institute for Agriculture, Food
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Claire Jacquet
Université de Montpellier
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Annika Künne
Friedrich Schiller University Jena
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Mathis Messager
INRAE
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Louise Mimeau
INRAE
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Thibault Datry
INRAE
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Nuria Bonada
University of Barcelona
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FRANCOIS Munoz
Université Grenoble Alpes
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Loïc Chalmandrier
Université Grenoble Alpes

Corresponding Author:loic.chalmandrier@univ-grenoble-alpes.fr

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Abstract

Understanding how natural disturbance regimes drive biodiversity patterns is a major research challenge. Disturbances disrupt local communities by increasing population mortality and alter dispersal between communities. Yet, how species’ ecological strategies and disturbance regimes intertwine to shape the structure of metacommunities across space and time remains poorly understood. Drying river networks (DRNs) exemplify ecosystems structured by natural disturbances: drying events disrupt both local habitat within reaches and connectivity among flowing sections. Drying-wetting cycles thus alter two major mechanisms shaping metacommunity diversity: ecological drift and dispersal dynamics. In this study, we present a mechanistic metacommunity model that simulates species’ ability to withstand drying in place (resistance strategy) and to recolonize communities after rewetting (resilience strategy). Coupling this model with realistic hydrological models, we simulated community dynamics in four European DRNs encompassing variable flow intermittence regimes. Our aim was to investigate the relative importance of flow intermittence, network connectivity and species’ ecological strategies in shaping spatio-temporal biodiversity patterns. We show that higher connectivity increases reach-level α-diversity and decreases reach-level temporal β-diversity, whereas flow intermittence has the opposite effects. At the metacommunity scale, more intermittent DRNs exhibited low mean α-diversity and high spatial β-diversity, while DRNs with downstream drying exhibited high temporal β-diversity. Finally, we show that high levels of species drying resistance and dispersal counteract the effect of flow intermittence, leading to high mean α-diversity and low spatial and temporal β-diversities at the metacommunity scale. In contrast, maximal dispersal distance had complex, non-linear effects on spatial and temporal β-diversities, because dispersal amplifies both community stochasticity and biotic homogenisation. Altogether, our work emphasises how stochastic recolonisation of disturbed communities and biotic homogenisation interact with species resilience and resistance strategies to shape the spatio-temporal structure of biodiversity.