River network‐scale drying impacts the spatiotemporal dynamics of greenhouse gas fluxes

Limnology and Oceanography, Journal Year: 2024, Volume and Issue: 69(4), P. 861 - 873

Published: Feb. 22, 2024

Abstract Rivers significantly contribute to global biogeochemical cycles; however, we have a limited understanding of how drying may influence these cycles. Drying fragments river networks, thereby influencing important ecosystem functions such as the processing carbon and nitrogen, associated fluxes greenhouse gases (GHGs) both locally, at network scale. Our objective was assess, using network‐scale approach, lateral, longitudinal, temporal dynamics GHG in naturally fragmented by drying. We used closed‐loop chamber with automated analyzers measure dioxide (CO 2 ), methane (CH 4 nitrous oxide (N O) from dry sediments, flowing waters, isolated pools, riparian soils, along suite environmental variables, over 9 months 20 sites across non‐perennial France. Network‐scale had spatial legacy effect on fluxes. On average, CO were up 29 times higher perennial than under conditions. At sites, N O positively covaried time since rewetting. In addition, percent reaches upstream, indicating soil riverbed sediments markedly different magnitudes covariates. This research demonstrates that not only has local‐scale impact but also influences scale, contributing valuable insights for upscaling riverine estimates.

Language: Английский

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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

Ecological Modelling, Journal Year: 2025, Volume and Issue: 506, P. 111136 - 111136

Published: May 1, 2025

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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Greenhouse gas dynamics in river networks fragmented by drying and damming

Freshwater Biology, Journal Year: 2023, Volume and Issue: 68(12), P. 2027 - 2041

Published: Sept. 19, 2023

Abstract River fragmentation by drying and damming is occurring more frequently in the Anthropocene era, yet there limited knowledge of how this influences greenhouse gas (GHG) fluxes river networks. networks have potential to be important sources GHGs atmosphere through both similar dissimilar mechanisms associated with temporary (drying) permanent (damming) fragmentation. We conducted a review literature found 49, 43 six studies about (CO 2 , CH 4 N O) rivers impacted damming, their interaction, respectively. research lacking non‐arid climates small water‐retention structures for regarding The major factors directly influencing GHG were sediment moisture, temperature, organic matter content texture. In most influential water dissolved oxygen, phytoplankton Chlorophyll‐ . Based on our meta‐ecosystem theory, we propose that spatial distribution strongly at river‐network scale. actionable future directions identified here will help improve understanding effects fluxes, inform management climate change mitigation strategies.

Language: Английский

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Natural Disturbances and Connectivity Drive Seasonal Taxonomic and Trait Patterns of Aquatic Macroinvertebrate Communities Across Europe

Global Ecology and Biogeography, Journal Year: 2025, Volume and Issue: 34(5)

Published: May 1, 2025

ABSTRACT Aim Understanding the joint influence of natural disturbance regime, connectivity and biogeography on seasonal variation community structure. Location Drying river networks (DRN) in Europe. Time Period Present. Major Taxa Studied Aquatic macroinvertebrates. Methods We analyse taxonomic trait structure 638 macroinvertebrate communities sampled across 125 reaches with perennial intermittent streamflow, surveyed six DRNs Europe, up to times over 1 year. Results Richness diversity decreased increasing drying frequency, but increased spatio‐temporal long events. Communities experiencing frequent events had higher relative abundance taxa a lifecycle resistance traits. compensated by high connectivity, more fecundity dispersal ability. richness peaked summer that pattern was prominent when frequency high. Trait throughout year, showing abiotic stress as year progressed. changed from mobile, fecund, short‐lived spring autumn long‐lived summer. However, increased, shifted towards taxa. Macroinvertebrate It opposed Mediterranean and/or upland (with fecund mobile taxa) lowland taxa). Main Conclusions Frequency duration drive divergent structures, suggesting presence an ecological threshold explains variability disturbed ecosystems broad spatial scales. These factors also variations, shaped distinct trait‐filtering processes based frequency. Ultimately, plays crucial role sustaining species intense drying.

Language: Английский

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Drying and fragmentation drive the dynamics of resources, consumers and ecosystem functions across aquatic‐terrestrial habitats in a river network

Oikos, Journal Year: 2024, Volume and Issue: 2024(6)

Published: Feb. 27, 2024

Rivers form meta‐ecosystems, in which disturbance and connectivity control biodiversity, ecosystem functioning their interactions across the river network, but also connected instream riparian ecosystems. This aquatic–terrestrial linkage is modified by drying, a that naturally fragments networks thereby modifies organism dispersal organic matter (OM) transfers network. However, little evidence of effects drying on network‐scale OM cycling exists. Here, we assessed fragmentation at meta‐ecosystem scale monitoring leaf resource stocks, invertebrate communities decomposition rates, three seasons 20 sites, habitats network fragmented drying. Although quantity quality increased, leaf‐shredder richness abundance decreased with flow intermittence. Decomposition was, however, mainly driven connectivity. Shredder invertebrate‐driven both peaked sites intermediate amounts intermittent reaches upstream, suggesting upstream can promote biodiversity downstream richness, had negative effect perennial likely due to interspecific competition. Leaf quantity, became more similar between as frequency homogenization environmental conditions dried. Our study demonstrates paramount dynamics resources, rivers presents one first examples co‐drivers functions terrestrial–aquatic boundaries.

Language: Английский

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Enhancing the natural absorbing capacity of rivers to restore their resilience

BioScience, Journal Year: 2024, Volume and Issue: 74(11), P. 782 - 796

Published: Sept. 19, 2024

Abstract Resilience, which can also be described as absorbing capacity, describes the amount of change that a system undergo in response to disturbance and maintain characteristic, self-sustaining regime functions, processes, or sets feedback loops. Rivers exhibit varying levels resilience, but net effect industrialized anthropogenic alteration has been suppress river resilience. As changing climate alters inputs rivers human modification morphology connectivity rivers, restoration increasingly considers how enhance Characteristics underpin capacity include natural regimes, connectivity, physical ecological integrity, heterogeneity. River management emphasizing channel stabilization homogenization reduced capacity. We propose paths restoring defining relevant measures understanding scales sociopolitical elements restoration. provide conceptual framing for choosing could used assess

Language: Английский

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Impacts of stream drying depend on stream network size and location of drying

Ecological Applications, Journal Year: 2024, Volume and Issue: 34(6)

Published: July 15, 2024

Stream drying is increasing globally, with widespread impacts on stream ecosystems. Here, we investigated how the of ecosystem connectivity might depend network size and location within network. Using 11 networks from across United States, simulated scenarios in which varied spatial extent drying. We found that rate loss size, such larger lost more rapidly than smaller networks. also When occurred mainstem, even small amounts resulted rapid losses connectivity. headwater reaches, had little impact Beyond a certain threshold, however, declined further increases Given worldwide, our findings underscore need for managers to be particularly vigilant about fragmentation when managing at large scales occurs mainstem reaches.

Language: Английский

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Natural disturbances and connectivity shape the seasonal variability of aquatic macroinvertebrate communities across Europe

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 10, 2024

Abstract Understanding the joint influence of natural disturbance, spatial connectivity and biogeography on biodiversity is essential to forecast its responses climate change. Macroinvertebrate communities in drying river networks constitute an ideal study system understand interplay these ecological processes. We analyze taxonomic functional structure macroinvertebrate sampled across 126 reaches with perennial intermittent streamflow, surveyed six (DRN) Europe, times over one year. Drying frequency decreased community richness diversity communities, whereas spatio-temporal increased reaches. Communities experiencing a high proportion taxa K-strategies resistance traits. long duration compensated by had more r-strategy dispersal ability. Perennial varied from taxa-poor r-strategists spring autumn taxa-rich K-strategists summer constant throughout When increased, showed similar pattern except when they shifted towards species-poor K-strategists. Functional then peaked summer. Community trait particular optimal traits changed biogeographical scales. It opposed mountainous DRN (with r-strategies ability) non-mountainous K-strategies). frequency, duration, drive divergent structures, suggesting presence threshold that explains variability disturbed ecosystems broad These factors also shaped seasonal variations, particularly after summer, influenced stochastic recolonization events autumn. Spatial-temporal proved crucial for maintaining subjected intense drying. Lastly, effectiveness was dependent environmental conditions networks.

Language: Английский

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Metapopulation networks unlock the effects of landscape fragmentation on agricultural pests and natural predators

Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: 50, P. e02849 - e02849

Published: Feb. 16, 2024

In agricultural landscapes, patches containing diverse species can serve as nodes, and diffusion among these edges, forming metapopulation networks. However, the impact of landscape fragmentation on networks consequences for keystone crop remain unclear. Here, we investigated thrips (pests) lacewings (natural predators) in mango orchards surrounding habitats across 15 landscapes. Using a machine learning neural network, built based relationship between patch properties abundance. We evaluated with metrics like clustering coefficient, strength, path length. Furthermore, analyzed effects fragmentation, indicated by edge density Shannon diversity, network structures subsequent effect abundance using piecewise structural equation modeling. The results show that effectively constructed accurately predicting lacewing thrip abundances various an accuracy rate exceeding 80%. Positive correlations were observed strength both species. positive diversity length was identified only lacewings. Edge had greater compared to negative thrips. affected directly indirectly through strength. no structure mediated Our conclusion highlights are primarily driven effects. These clarified structure, which varied depending findings provide new perspectives unlock

Language: Английский

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