A stoichiometric approach to estimate sources of mineral-associated soil organic matter.

Autor: Chang Y; College of Land and Environment, Shenyang Agricultural University, Shenyang, China., Sokol NW; Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, California, USA., van Groenigen KJ; Department of Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, UK., Bradford MA; Yale School of the Environment, Yale University, New Haven, Connecticut, USA., Ji D; College of Land and Environment, Shenyang Agricultural University, Shenyang, China., Crowther TW; Department of Environmental Systems Science, Institute of Integrative Biology, ETH Zürich, Zürich, Switzerland., Liang C; Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China., Luo Y; School of Integrative Plant Science, Cornell University, Ithaca, New York, USA., Kuzyakov Y; Department of Soil Science of Temperate Ecosystems, Georg-August University of Göettingen, Göettingen, Germany.; Department of Agricultural Soil Science, Georg-August University of Göettingen, Göettingen, Germany.; Agro-Technological Institute, Peoples Friendship University of Russia (RUDN University), Moscow, Russia., Wang J; College of Land and Environment, Shenyang Agricultural University, Shenyang, China., Ding F; College of Land and Environment, Shenyang Agricultural University, Shenyang, China.
Jazyk: angličtina
Zdroj: Global change biology [Glob Chang Biol] 2024 Jan; Vol. 30 (1), pp. e17092.
DOI: 10.1111/gcb.17092
Abstrakt: Mineral-associated soil organic matter (MAOM) is the largest, slowest cycling pool of carbon (C) in the terrestrial biosphere. MAOM is primarily derived from plant and microbial sources, yet the relative contributions of these two sources to MAOM remain unresolved. Resolving this issue is essential for managing and modeling soil carbon responses to environmental change. Microbial biomarkers, particularly amino sugars, are the primary method used to estimate microbial versus plant contributions to MAOM, despite systematic biases associated with these estimates. There is a clear need for independent lines of evidence to help determine the relative importance of plant versus microbial contributions to MAOM. Here, we synthesized 288 datasets of C/N ratios for MAOM, particulate organic matter (POM), and microbial biomass across the soils of forests, grasslands, and croplands. Microbial biomass is the source of microbial residues that form MAOM, whereas the POM pool is the direct precursor of plant residues that form MAOM. We then used a stoichiometric approach-based on two-pool, isotope-mixing models-to estimate the proportional contribution of plant residue (POM) versus microbial sources to the MAOM pool. Depending on the assumptions underlying our approach, microbial inputs accounted for between 34% and 47% of the MAOM pool, whereas plant residues contributed 53%-66%. Our results therefore challenge the existing hypothesis that microbial contributions are the dominant constituents of MAOM. We conclude that biogeochemical theory and models should account for multiple pathways of MAOM formation, and that multiple independent lines of evidence are required to resolve where and when plant versus microbial contributions are dominant in MAOM formation.
(© 2023 John Wiley & Sons Ltd.)
Databáze: MEDLINE
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