Exploring the spatio-temporal dynamics of disturbed metacommunities: a
mechanistic modeling approach to species resistance and resilience
strategies in Drying River Networks
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.