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http://bura.brunel.ac.uk/handle/2438/29809
Title: | The riverine bioreactor: An integrative perspective on biological decomposition of organic matter across riverine habitats |
Authors: | Peralta-Maraver, I Stubbington, R Arnon, S Kratina, P Krause, S de Mello Cionek, V Leite, NK Lemes da Silva, AL Thomaz, SM Posselt, M Milner, VS Momblanch, A Moretti, MS Nóbrega, RLB Perkins, DM Petrucio, MM Reche, I Saito, V Sarmento, H Strange, E Taniwaki, RH White, J Alves, GHZ Robertson, AL |
Keywords: | body mass-abundance scaling;biodegradation;latitude;metabolic theory;riverine ecosystems;regulating ecosystem service |
Issue Date: | 1-Feb-2021 |
Publisher: | Elsevier |
Citation: | Peralta-Maraver, I. et al. (2021) 'The riverine bioreactor: An integrative perspective on biological decomposition of organic matter across riverine habitats', Science of the Total Environment, 772, 145494, pp. 1 - 12. doi: 10.1016/j.scitotenv.2021.145494. |
Abstract: | Riverine ecosystems can be conceptualized as ‘bioreactors’ (the riverine bioreactor) which retain and decompose a wide range of organic substrates. The metabolic performance of the riverine bioreactor is linked to their community structure, the efficiency of energy transfer along food chains, and complex interactions among biotic and abiotic environmental factors. However, our understanding of the mechanistic functioning and capacity of the riverine bioreactor remains limited. We review the state of knowledge and outline major gaps in the understanding of biotic drivers of organic matter decomposition processes that occur in riverine ecosystems, across habitats, temporal dimensions, and latitudes influenced by climate change. We propose a novel, integrative analytical perspective to assess and predict decomposition processes in riverine ecosystems. We then use this model to analyse data to demonstrate that the size-spectra of a community can be used to predict decomposition rates by analysing an illustrative dataset. This modelling methodology allows comparison of the riverine bioreactor's performance across habitats and at a global scale. Our integrative analytical approach can be applied to advance understanding of the functioning and efficiency of the riverine bioreactor as hotspots of metabolic activity. Application of insights gained from such analyses could inform the development of strategies that promote the functioning of the riverine bioreactor across global ecosystems. |
Description: | [Data sources are described in the appendix available online at: https://www.sciencedirect.com/science/article/pii/S0048969721005623?via%3Dihub#s0050 ]. |
URI: | https://bura.brunel.ac.uk/handle/2438/29809 |
DOI: | https://doi.org/10.1016/j.scitotenv.2021.145494 |
ISSN: | 0048-9697 |
Other Identifiers: | ORCiD: Ignacio Peralta-Maraver https://orcid.org/0000-0002-3467-7664 ORCiD: Rachel Stubbington https://orcid.org/0000-0001-8475-5109 ORCiD: Shai Arnon https://orcid.org/0000-0002-7109-8979 ORCiD: Pavel Kratina https://orcid.org/0000-0002-9144-7937 ORCiD: Stefan Krause https://orcid.org/0000-0003-2521-2248 ORCiD: Vivian de Mello Cionek https://orcid.org/0000-0002-0879-690X ORCiD: Nei Kavaguichi Leite https://orcid.org/0000-0002-7732-8122 ORCiD: Aurea Luiza Lemes da Silva https://orcid.org/0000-0001-8176-8983 ORCiD: Sidinei Magela Thomaz https://orcid.org/0000-0002-5236-1364 ORCiD: Malte Posselt https://orcid.org/0000-0001-8979-8044 ORCiD: Victoria Susan Milner https://orcid.org/0000-0001-8027-3647 ORCiD: Andrea Momblanch https://orcid.org/0000-0003-3165-4691 ORCiD: Marcelo S. Moretti https://orcid.org/0000-0003-1994-2105 ORCiD: Rodolfo L.B. Nóbrega https://orcid.org/0000-0002-9858-8222 ORCiD: Daniel M. Perkins https://orcid.org/0000-0003-0866-4816 ORCiD: Mauricio M. Petrucio https://orcid.org/0000-0002-7242-9426 ORCiD: Isabel Reche https://orcid.org/0000-0003-2908-1724 ORCiD: Victor Saito https://orcid.org/0000-0001-6112-7249 ORCiD: Hugo Sarmento https://orcid.org/0000-0001-5220-7992 ORCiD: Emily Strange https://orcid.org/0000-0001-8491-3912 ORCiD: Anne L. Robertson https://orcid.org/0000-0001-8398-3556 145494 |
Appears in Collections: | Dept of Life Sciences Research Papers |
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FullText.pdf | Copyright © 2021 Elsevier. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ (see: https://www.elsevier.com/about/policies/sharing). | 443.48 kB | Adobe PDF | View/Open |
fig1.pdf | Copyright © 2021 Elsevier. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ (see: https://www.elsevier.com/about/policies/sharing). | 85.41 kB | Adobe PDF | View/Open |
fig2.pdf | Copyright © 2021 Elsevier. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ (see: https://www.elsevier.com/about/policies/sharing). | 6.98 MB | Adobe PDF | View/Open |
fig3.pdf | Copyright © 2021 Elsevier. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ (see: https://www.elsevier.com/about/policies/sharing). | 431.93 kB | Adobe PDF | View/Open |
summaryfig.pdf | Copyright © 2021 Elsevier. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ (see: https://www.elsevier.com/about/policies/sharing). | 4.09 MB | Adobe PDF | View/Open |
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