Biota-mediated carbon cycling-A synthesis of biotic-interaction controls on blue carbon.

Autor: Ren L; Institute of Plant Science and Microbiology, Universität Hamburg, Hamburg, Germany.; State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, P. R. China., Jensen K; Institute of Plant Science and Microbiology, Universität Hamburg, Hamburg, Germany., Porada P; Institute of Plant Science and Microbiology, Universität Hamburg, Hamburg, Germany., Mueller P; Institute of Plant Science and Microbiology, Universität Hamburg, Hamburg, Germany.; Smithsonian Environmental Research Center, Edgewater, Maryland, USA.
Jazyk: angličtina
Zdroj: Ecology letters [Ecol Lett] 2022 Feb; Vol. 25 (2), pp. 521-540. Date of Electronic Publication: 2022 Jan 10.
DOI: 10.1111/ele.13940
Abstrakt: Research into biotic interactions has been a core theme of ecology for over a century. However, despite the obvious role that biota play in the global carbon cycle, the effects of biotic interactions on carbon pools and fluxes are poorly understood. Here we develop a conceptual framework that illustrates the importance of biotic interactions in regulating carbon cycling based on a literature review and a quantitative synthesis by means of meta-analysis. Our study focuses on blue carbon ecosystems-vegetated coastal ecosystems that function as the most effective long-term CO 2 sinks of the biosphere. We demonstrate that a multitude of mutualistic, competitive and consumer-resource interactions between plants, animals and microbiota exert strong effects on carbon cycling across various spatial scales ranging from the rhizosphere to the landscape scale. Climate change-sensitive abiotic factors modulate the strength of biotic-interaction effects on carbon fluxes, suggesting that the importance of biota-mediated carbon cycling will change under future climatic conditions. Strong effects of biotic interactions on carbon cycling imply that biosphere-climate feedbacks may not be sufficiently represented in current Earth system models. Inclusion of new functional groups in these models, and new approaches to simplify species interactions, may thus improve the predictions of biotic effects on the global climate.
(© 2022 The Authors. Ecology Letters published by John Wiley & Sons Ltd.)
Databáze: MEDLINE
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