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The riverine bioreactor: An integrative perspective on biological decomposition of organic matter across riverine habitats.
Peralta-Maraver, Ignacio; Stubbington, Rachel; Arnon, Shai; Kratina, Pavel; Krause, Stefan; de Mello Cionek, Vivian; Leite, Nei Kavaguichi; da Silva, Aurea Luiza Lemes; Thomaz, Sidinei Magela; Posselt, Malte; Milner, Victoria Susan; Momblanch, Andrea; Moretti, Marcelo S; Nóbrega, Rodolfo L B; Perkins, Daniel M; Petrucio, Mauricio M; Reche, Isabel; Saito, Victor; Sarmento, Hugo; Strange, Emily; Taniwaki, Ricardo Hideo; White, James; Alves, Gustavo Henrique Zaia; Robertson, Anne L.
Afiliación
  • Peralta-Maraver I; Departamento de Ecología, Universidad de Granada, Granada, Spain; Department of Life Sciences, Roehampton University, London, UK. Electronic address: peraltamaraver@ugr.es.
  • Stubbington R; School of Science and Technology, Nottingham Trent University, Nottingham, UK.
  • Arnon S; Zuckerberg Institute for Water Research, The Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Beersheba, Israel.
  • Kratina P; School of Biological and Chemical Sciences, Queen Mary University of London, London, UK.
  • Krause S; School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, UK.
  • de Mello Cionek V; Programa de Pós-Graduação em Ciência e Tecnologia Ambiental, Universidade do Vale do Itajaí, Itajaí, Santa Catarina, Brazil.
  • Leite NK; Department of Ecology and Zoology, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil.
  • da Silva ALL; Department of Ecology and Zoology, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil.
  • Thomaz SM; Universidade Estadual de Maringá, Department of Biology, Maringá, Paraná, Brazil.
  • Posselt M; Department of Environmental Science, Stockholm University, Stockholm, Sweden.
  • Milner VS; School of Applied Sciences, University of Huddersfield, Huddersfield, UK.
  • Momblanch A; Cranfield Water Science Institute, Cranfield University, Cranfield, UK.
  • Moretti MS; Laboratory of Aquatic Insect Ecology, Universidade Vila Velha, Vila Velha, Espírito Santo, Brazil.
  • Nóbrega RLB; Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot SL5 7PY, UK.
  • Perkins DM; Department of Life Sciences, Roehampton University, London, UK.
  • Petrucio MM; Department of Ecology and Zoology, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil.
  • Reche I; Departamento de Ecología, Universidad de Granada, Granada, Spain.
  • Saito V; Departamento de Ciências Ambientais, Universidade Federal de São Carlos, São Carlos, São Paulo, Brazil.
  • Sarmento H; Department of Hydrobiology, Universidade Federal de São Carlos, São Carlos, São Paulo, Brazil.
  • Strange E; Institute of Environmental Sciences, Leiden University, Leiden, the Netherlands.
  • Taniwaki RH; Centro de Engenharia, Modelagem e Ciências Sociais Aplicadas, Universidade Federal do ABC, Santo André, São Paulo, Brazil.
  • White J; River Restoration Centre, Cranfield University, Cranfield, Bedfordshire, UK.
  • Alves GHZ; Departamento de Botânica, Universidade Federal do Paraná, Curitiba, Paraná, Brazil.
  • Robertson AL; Department of Life Sciences, Roehampton University, London, UK.
Sci Total Environ ; 772: 145494, 2021 Jun 10.
Article en En | MEDLINE | ID: mdl-33581537
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cambio Climático / Ecosistema Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Total Environ Año: 2021 Tipo del documento: Article Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cambio Climático / Ecosistema Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Total Environ Año: 2021 Tipo del documento: Article Pais de publicación: Países Bajos