Multiple‐stressor effects on leaf litter decomposition in freshwater ecosystems: A meta‐analysis

Author:

Medina Madariaga Graciela12ORCID,Ferreira Verónica3ORCID,Arora Roshni4ORCID,Mansour India56ORCID,David Gwendoline M.1,Jähnig Sonja C.12ORCID,He Fengzhi127ORCID

Affiliation:

1. Leibniz Institute of Freshwater Ecology and Inland Fisheries Berlin Germany

2. Geography Department Humboldt‐Universität zu Berlin Berlin Germany

3. MARE‐Marine and Environmental Sciences Centre, ARNET‐Aquatic Research Network, Department of Life Sciences University of Coimbra Coimbra Portugal

4. India Program The Nature Conservancy New Delhi India

5. Institut für Biologie Freie Universität Berlin Berlin Germany

6. Berlin‐Brandenburg Institute of Advanced Biodiversity Research (BBIB) Berlin Germany

7. State Key Laboratory of Black Soils Conservation and Utilization, Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology Chinese Academy of Sciences Changchun China

Abstract

Abstract Recent years have witnessed a surge in research on the effects of multiple stressors in freshwater ecosystems. While studies have increased, the synthesis of their findings into a broader understanding of ecosystem‐level effects remains an ongoing endeavour. Leaf litter decomposition, a frequently investigated and pivotal ecosystem function in freshwaters, is sensitive to changes in abiotic conditions and biotic communities, and therefore susceptible to multiple‐stressor effects. Here, we synthesize findings from 27 manipulative experimental studies encompassing 61 responses of litter decomposition to paired stressors such as warming, nutrient enrichment and emerging pollutants in freshwater ecosystems. We calculated the individual and overall interaction effect sizes resulting from two stressors occurring simultaneously. Furthermore, we analysed the effect of moderator variables in the size and direction of interaction effect sizes using a meta‐analytical approach. Although the vote‐counting method showed additive interactions to dominate individual observations (91.8%), weighted random‐effects meta‐analysis revealed an overall antagonistic interaction between stressors (i.e. the cumulative effect of paired stressors on litter decomposition was less than the sum of their single effects). Our results emphasized the influence of experimental characteristics such as macroinvertebrate involvement, habitat type (lentic vs. lotic) and litter quality (assumed from plant mycorrhizal association) in shaping the responses of litter decomposition to multiple stressors. Our meta‐analysis highlights the need to incorporate local ecological complexities in manipulative experiments to improve predictions of multiple‐stressor effects on biodiversity and ecosystem functions. The present study underscores the importance of considering biotic interactions and adopting the metacommunity framework in conservation and restoration actions to support the management of freshwater ecosystems in an era of rapid global change. Read the free Plain Language Summary for this article on the Journal blog.

Funder

Deutsche Forschungsgemeinschaft

Fundação para a Ciência e a Tecnologia

Bundesministerium für Bildung und Forschung

Chinese Academy of Sciences

Publisher

Wiley

Reference82 articles.

1. Microbial abundance and composition influence litter decomposition response to environmental change

2. Barton K.(2023).Mu‐MIn: Multi‐model inference. R package version 1.47.5/r18.

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