Tiegs, S. D. orcid.org/0000-0002-2420-0088, Capps, K. A., Costello, D. M. et al. (4 more authors) (2024) Human activities shape global patterns of decomposition rates in rivers. Science, 384 (6701). pp. 1191-1195. ISSN 0036-8075
Abstract
Rivers and streams contribute to global carbon cycling by decomposing immense quantities of terrestrial plant matter. However, decomposition rates are highly variable and large-scale patterns and drivers of this process remain poorly understood. Using a cellulose-based assay to reflect the primary constituent of plant detritus, we generated a predictive model (81% variance explained) for cellulose decomposition rates across 514 globally distributed streams. A large number of variables were important for predicting decomposition, highlighting the complexity of this process at the global scale. Predicted cellulose decomposition rates, when combined with genus-level litter quality attributes, explain published leaf-litter-decomposition rates with impressive accuracy (70% variance explained). Our global map provides estimates of rates across vast understudied areas of Earth, and reveals rapid decomposition across continental-scale areas dominated by human activities.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. This is the author’s version of the work. It is posted here by permission of the AAAS for personal use, not for redistribution. The definitive version was published in Science on 30 May 2024, DOI: 10.1126/science.adn1262 . |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > River Basin Processes & Management (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 15 May 2024 13:20 |
Last Modified: | 22 Aug 2024 14:31 |
Status: | Published |
Publisher: | American Association for the Advancement of Science |
Identification Number: | 10.1126/science.adn1262 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:212446 |