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Biology subjects

Danet, A.

Publications and source records attributed to Danet, A..

3 recordsLinked to original sources

Biodiversity temporal trends are reshaping food web structure and redundancy in riverine ecosystems

Biodiversity temporal changes are expected to profoundly impact ecosystem functioning and stability, yet large-scale empirical evidence remains limited. Bridging this gap requires aligning biodiversity temporal trends with food web theory and Biodiversity-Ecosystem Functioning research, both of which provide strong predictions about the ecological consequences of biodiversity loss. Most insights on those consequences currently rely on spatial comparisons of ecological communities, assuming they reflect temporal trends--a space-for-time substitution. Here, we analyze biodiversity and food web time series from over 400 riverine fish communities across France (1995-2018) to evaluate how biodiversity temporal trends reshape food web structure and community functioning. We examine relationships among species richness, community biomass, and three key food web metrics: connectance, weighted average trophic level, and trophic pathway redundancy. We also test the space-for-time hypothesis using spatial gradients and a theoretical food web model. Our structural equation models and robustness analysis reveal that declines in species richness strongly correlate with reduced community biomass, with top trophic-level species playing a disproportionate role in food web changes. Declining biomass is associated with the loss of top trophic levels and decreased connectance, while temporal changes in species richness negatively correlates with changes in connectance. Both biomass and species richness declines reduce trophic pathway redundancy, suggesting that biodiversity loss weakens community robustness to future perturbations. Our findings align with food web theory and Biodiversity-Ecosystem Functioning research, support the validity of space-for-time approaches for basic food web metrics, and demonstrate the relevance of food web metrics as indicators of ecosystem function and fragility. SignificanceRates of biodiversity loss raise urgent concerns about ecosystem functioning and stability, yet how biodiversity trends directly impact these critical processes remains unclear. For instance, food web & Biodiversity-Ecosystem Functioning research has delivered strong predictions about the ecological consequences of biodiversity loss but lack of empirical assessment. Using an extensive dataset of riverine fish communities, we link biodiversity trends to temporal changes in food web structure. We demonstrate that temporal changes in species richness and community biomass consistently associate with altered food web structure. We found that declining biodiversity reduces trophic pathway redundancy, likely increasing ecosystem vulnerability to perturbations. Our findings suggest that food web structure metrics could serve as valuable indicators for monitoring ecosystem health and guiding conservation strategies.

ecology↗

Response diversity is a major driver of temporal stability in complex food webs

Global change constitutes a major threat to biodiversity and ecosystem functioning which can materialise in the temporal stability of ecological communities. However, the majority of research on stability has focused on single trophic level communities and has not yet integrated classic theory about species richness and food web structure with more recent theory centred on response diversity and stochasticity. Using a stochastic, bioenergenetic food web model, we integrate these multiple bodies of theory to reveal that response diversity is a major driver of community stability. Moreover, our integrated theory reveals that positive stability-richness relationships emerge only in the presence of response diversity. In contrast to previous work, food web structure is only a secondary driver of community stability, but interacts with response diversity to determine the sign of the stability-richness relationship. Our study reveals identifiable pathways by which food web structure and response diversity drive community stability, and raises concerns about how the loss of response diversity (biotic homogenisation) may lead to a breakdown of community stability.

ecology↗

EcologicalNetworksDynamics.jl: A Julia package to simulate the temporal dynamics of complex ecological networks

O_LISpecies interactions play a crucial role in shaping biodiversity, species coexistence, population dynamics, community stability and ecosystem functioning. Our understanding of the role of the diversity of species interactions driving these species, community and ecosystem features is limited because current approaches often focus only on trophic interactions. This is why a new modelling framework that includes a greater diversity of interactions between species is crucially needed. C_LIO_LIWe developed a modular, user-friendly, and extensible Julia package that delivers the core functionality of the bio-energetic food web model. Moreover, it embeds several ecological interaction types alongside the capacity to manipulate external drivers of ecological dynamics like temperature. These new features represent important processes known to influence biodiversity, coexistence, functioning and stability in natural communities. Specifically, they include: a) an explicit multiple nutrient intake model for producers, b) competition among producers, c) temperature dependence implemented via the Boltzmann-Arhennius rule, and d) the ability to model several non-trophic interactions including competition for space, plant facilitation, predator interference and refuge provisioning. C_LIO_LIThe inclusion of the various features provides users with the ability to ask questions about multiple simultaneous processes and stressor impacts, and thus develop theory relevant to real world scenarios facing complex ecological communities in the Anthropocene. It will allow researchers to quantify the relative importance of different mechanisms to stability and functioning of complex communities. C_LIO_LIThe package was build for theoreticians seeking to explore the effects of different types of species interactions on the dynamics of complex ecological communities, but also for empiricists seeking to confront their empirical findings with theoretical expectations. The package provides a straightforward framework to model explicitly complex ecological communities or provide tools to generate those communities from few parameters. C_LI

ecology↗