Network ecology in dynamic landscapes

Proceedings of the Royal Society B Biological Sciences, Journal Year: 2021, Volume and Issue: 288(1949)

Published: April 28, 2021

Network ecology is an emerging field that allows researchers to conceptualize and analyse ecological networks their dynamics. Here, we focus on the dynamics of in response environmental changes. Specifically, formalize how network topologies constrain systems into a unifying framework refer as 'ecological framework'. This stresses interplay between species interaction spatial layout habitat patches key identifying which properties (number weights nodes links) trade-offs among them are needed maintain interactions dynamic landscapes. We conclude be functional, should scaled according dispersal abilities landscape heterogeneity. Determining such effective change through space time can help reveal complex changing world.

Language: Английский

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Non-perennial segments in river networks

Nature Reviews Earth & Environment, Journal Year: 2023, Volume and Issue: 4(12), P. 815 - 830

Published: Nov. 23, 2023

Language: Английский

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Destabilizing Effects of Environmental Stressors on Aquatic Communities and Interaction Networks across a Major River Basin

Environmental Science & Technology, Journal Year: 2023, Volume and Issue: 57(20), P. 7828 - 7839

Published: May 8, 2023

Human-driven environmental stressors are increasingly threatening species survival and diversity of river systems worldwide. However, it remains unclear how the affect stability changes across aquatic multiple communities. Here, we used DNA (eDNA) data sets from a human-dominated in China over 3 years analyzed communities under persistent anthropogenic stressors, including land use pollutants. First, found that significantly reduced multifaceted (e.g., richness, Shannon's diversity, Simpson's diversity) but increased synchrony Second, structures interaction networks inferred an empirical meta-food web were changed for example, resulting decreased network modularity negative/positive cohesion. Third, piecewise structural equation modeling proved stress-induced decline mainly depended upon diversity-mediated pathways rather than direct effects stress per se; specifically, increase main biotic drivers variation. Overall, our study highlights destabilizing on as well mechanistic dependencies, through reducing increasing synchrony, changing networks.

Language: Английский

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Drought effects on invertebrate metapopulation dynamics and quasi‐extinction risk in an intermittent river network

Global Change Biology, Journal Year: 2021, Volume and Issue: 27(17), P. 4024 - 4039

Published: May 25, 2021

Abstract Ecological communities can remain stable in the face of disturbance if their constituent species have different resistance and resilience strategies. In turn, local stability scales up regionally heterogeneous landscapes maintain spatial asynchrony across discrete populations—but not large‐scale stressors synchronize environmental conditions biological responses. Here, we hypothesized that droughts could drastically decrease invertebrate metapopulations both by filtering out poorly adapted locally, synchronizing dynamics a river network. We tested this hypothesis via multivariate autoregressive state‐space (MARSS) models on spatially replicated, long‐term data describing aquatic hydrological set temperate, lowland streams subject to seasonal supraseasonal drying events. This quantitative approach allowed us assess influence (flow magnitude) network‐scale (hydrological connectivity) drivers trajectories, simulate near‐future responses range drought scenarios. found fluctuations abundances were driven combination stochastic drivers. Among metapopulations, increasing extent dry reaches reduced abundance functional groups with low or capacities (i.e. ability persist situ recolonize from elsewhere, respectively). Our simulations revealed metapopulation quasi‐extinction risk for taxa vulnerable increased exponentially as flowing habitats contracted within network, whereas traits remained stable. results suggest be agent riverscapes, potentially leading regional lower abilities. Better recognition drought‐driven synchronization may increase realism extinction forecasts hydroclimatic extremes continue intensify worldwide.

Language: Английский

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Modelling environmental DNA transport in rivers reveals highly resolved spatio-temporal biodiversity patterns

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: May 31, 2023

Abstract The ever-increasing threats to riverine ecosystems call for novel approaches highly resolved biodiversity assessments across taxonomic groups and spatio-temporal scales. Recent advances in the joint use of environmental DNA (eDNA) data eDNA transport models rivers (e.g., eDITH) allow uncovering full structure biodiversity, hence elucidating ecosystem processes supporting conservation measures. We applied eDITH a metabarcoding dataset covering three (fish, invertebrates, bacteria) seasons catchment sampled at 73 sites. upscaled eDNA-based predictions approximately 1900 reaches, assessed α - β -diversity patterns over whole network. Genus richness predicted by was generally higher than values from direct analysis. Both varied depending on season group. Predicted fish increased downstream all seasons, while invertebrate bacteria either decreased or were unrelated network position. Spatial mostly downstream, especially bacteria. model yielded more refined assessment freshwater as compared raw data, both terms spatial coverage, diversity effect covariates, thus providing complete picture biodiversity.

Language: Английский

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Optimal Channel Networks accurately model ecologically-relevant geomorphological features of branching river networks

Communications Earth & Environment, Journal Year: 2022, Volume and Issue: 3(1)

Published: May 31, 2022

Abstract River networks’ universal fractal structure not only defines their hydrology and connectivity, but has also profound biological consequences, especially regarding stability persistence of organismal populations. While rivers’ scaling features are captured by Optimal Channel Networks, knowledge on adequate network topologies hitherto been partially transferred across geo- biosciences. Consequently, ecologists have often studied riverine populations via random networks respecting real character. Here we show that branching probability is a scale-dependent quantity in it varies with the length scale or spatial resolution observations. Therefore, our findings suggest this property robust driver ecological dynamics. Moreover, lead to biased estimates population persistence, while Networks yield comparable rivers. We hence advocate as model landscapes for realistic generalizable projections ecohydrological dynamics networks.

Language: Английский

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Geographic patterns of taxonomic and phylogenetic β-diversity of aquatic angiosperms in China

Plant Diversity, Journal Year: 2022, Volume and Issue: 45(2), P. 177 - 184

Published: Dec. 26, 2022

China covers a vast territory harbouring large number of aquatic plants. Although there are many studies on the β-diversity total, herbaceous or woody plants in and elsewhere, few have focused Here, we analyse comprehensive data set 889 angiosperm species China, explore geographic patterns climatic correlates total taxonomic phylogenetic as well their turnover nestedness components. Our results show that highly congruent for angiosperms, is consistently higher than β-diversity. The ratio between component high northwestern low southeastern China. angiosperms obviously affected by distances, respectively. In conclusion, consistent across Climatic distances jointly affect angiosperms. Overall, our work provides insight into understanding large-scale β-diversity, critical addition to previous macroecological terrestrial organisms.

Language: Английский

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Heterogeneous dispersal networks to improve biodiversity science

Trends in Ecology & Evolution, Journal Year: 2023, Volume and Issue: 39(3), P. 229 - 238

Published: Oct. 25, 2023

Language: Английский

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The effects of longitudinal fragmentation on riverine beta diversity are modulated by fragmentation intensity

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 903, P. 166703 - 166703

Published: Sept. 6, 2023

The loss of longitudinal connectivity affects river systems globally, being one the leading causes freshwater biodiversity crisis. Barriers alter dispersal aquatic organisms and limit exchange species between local communities, disrupting metacommunity dynamics. However, interplay losses due to dams other drivers structure, such as configuration network, needs be explored. In this paper, we analyzed response fish communities network position fragmentation induced by while controlling for human pressures environmental gradients. We studied three large European catchments covering a gradient: Upper Danube (Austrian section), Ebro (Spain), Odra/Oder (Poland). quantified through reach-scaled indices that account barriers along dendritic capacity organisms. used generalized linear models explain richness Local Contributions Beta Diversity (LCBD) multilinear regressions on distance matrix describe its Replacement Richness Difference components. Results show was not affected fragmentation. Network centrality metrics were relevant beta diversity with lower (Ebro, Odra), strong predictors catchment higher (Danube). conclude in highly fragmented catchments, effects centrality/isolation could masked dam metapopulation dynamics can strongly altered barriers, restoration (i.e. natural gradient) is urgent prevent extinctions.

Language: Английский

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Unifying spatial scaling laws of biodiversity and ecosystem stability

Science, Journal Year: 2025, Volume and Issue: 387(6740)

Published: March 20, 2025

While both species richness and ecosystem stability increase with area, how these scaling patterns are linked remains unclear. Our theoretical empirical analyses of plant fish communities show that the spatial is determined primarily by asynchrony, which in turn driven richness. In wetter regions, exhibit faster accumulation implying potentially greater declines biodiversity following habitat loss. The decline after loss can be delayed, creating a debt mirroring extinction species. By unifying two foundational laws ecology, our work underscores ongoing may destabilize ecosystems across scales.

Language: Английский

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