TY - JOUR
T1 - The riverine bioreactor
T2 - An integrative perspective on biological decomposition of organic matter across riverine habitats
AU - Peralta-Maraver, Ignacio
AU - Stubbington, Rachel
AU - Arnon, Shai
AU - Kratina, Pavel
AU - Krause, Stefan
AU - de Mello Cionek, Vivian
AU - Leite, Nei Kavaguichi
AU - da Silva, Aurea Luiza Lemes
AU - Thomaz, Sidinei Magela
AU - Posselt, Malte
AU - Milner, Victoria Susan
AU - Momblanch, Andrea
AU - Moretti, Marcelo S.
AU - Nóbrega, Rodolfo L.B.
AU - Perkins, Daniel M.
AU - Petrucio, Mauricio M.
AU - Reche, Isabel
AU - Saito, Victor
AU - Sarmento, Hugo
AU - Strange, Emily
AU - Taniwaki, Ricardo Hideo
AU - White, James
AU - Alves, Gustavo Henrique Zaia
AU - Robertson, Anne L.
N1 - Funding Information:
We would like to express our gratitude to Dr. Manuel Jesús López-Rodríguez and Dr. José Manuel Tierno de Figueroa for their valuable suggestions during the preparation of the manuscript. We also thank the two anonymous reviewers, whose useful comments improved significantly both the modelling part and the theoretical content of the manuscript. Lastly, we also thank Dr. Enrico L. Rezende, who provided useful guidance on the representation of the results from our modelling approach. This work was funded by a Researcher Links grant, ID: 10592 , under the Newton-Brazil fund awarded to AR and MP. The grant is funded by the UK Department of Business, Energy and Industrial Strategy (BEIS) and Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina (FAPESC) and delivered by the British Council. PK acknowledges funding from the Royal Society, Newton Advanced Fellowship (grant no. NAF/R2/180791).
Funding Information:
We would like to express our gratitude to Dr. Manuel Jes?s L?pez-Rodr?guez and Dr. Jos? Manuel Tierno de Figueroa for their valuable suggestions during the preparation of the manuscript. We also thank the two anonymous reviewers, whose useful comments improved significantly both the modelling part and the theoretical content of the manuscript. Lastly, we also thank Dr. Enrico L. Rezende, who provided useful guidance on the representation of the results from our modelling approach. This work was funded by a Researcher Links grant, ID: 10592, under the Newton-Brazil fund awarded to AR and MP. The grant is funded by the UK Department of Business, Energy and Industrial Strategy (BEIS) and Funda??o de Amparo ? Pesquisa e Inova??o do Estado de Santa Catarina (FAPESC) and delivered by the British Council. PK acknowledges funding from the Royal Society, Newton Advanced Fellowship (grant no. NAF/R2/180791). IP-M and AR conceived this study and led the article. All authors contributed during preparation, editing and reviewing of the original draft including the main text, figures and tables, and preparation of the final version. All authors gave final approval for publication.
Publisher Copyright:
© 2021 Elsevier B.V.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/6/10
Y1 - 2021/6/10
N2 - 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.
AB - 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.
KW - Biodegradation
KW - Body mass-abundance scaling
KW - Latitude
KW - Metabolic theory
KW - Regulating ecosystem service
KW - Riverine ecosystems
UR - http://www.scopus.com/inward/record.url?scp=85100615465&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2021.145494
DO - 10.1016/j.scitotenv.2021.145494
M3 - Review article
AN - SCOPUS:85100615465
VL - 772
JO - Science of the Total Environment
JF - Science of the Total Environment
SN - 0048-9697
M1 - 145494
ER -