Literature DB >> 30412646

Soil aggregates as biogeochemical reactors and implications for soil-atmosphere exchange of greenhouse gases-A concept.

Bin Wang1,2, Paul E Brewer3, Herman H Shugart2, Manuel T Lerdau2, Steven D Allison1,4.   

Abstract

Soil-atmosphere exchange significantly influences the global atmospheric abundances of carbon dioxide (CO2 ), methane (CH4 ), and nitrous oxide (N2 O). These greenhouse gases (GHGs) have been extensively studied at the soil profile level and extrapolated to coarser scales (regional and global). However, finer scale studies of soil aggregation have not received much attention, even though elucidating the GHG activities at the full spectrum of scales rather than just coarse levels is essential for reducing the large uncertainties in the current atmospheric budgets of these gases. Through synthesizing relevant studies, we propose that aggregates, as relatively separate micro-environments embedded in a complex soil matrix, can be viewed as biogeochemical reactors of GHGs. Aggregate reactivity is determined by both aggregate size (which determines the reactor size) and the bulk soil environment including both biotic and abiotic factors (which further influence the reaction conditions). With a systematic, dynamic view of the soil system, implications of aggregate reactors for soil-atmosphere GHG exchange are determined by both an individual reactor's reactivity and dynamics in aggregate size distributions. Emerging evidence supports the contention that aggregate reactors significantly influence soil-atmosphere GHG exchange and may have global implications for carbon and nitrogen cycling. In the context of increasingly frequent and severe disturbances, we advocate more analyses of GHG activities at the aggregate scale. To complement data on aggregate reactors, we suggest developing bottom-up aggregate-based models (ABMs) that apply a trait-based approach and incorporate soil system heterogeneity.
© 2018 John Wiley & Sons Ltd.

Entities:  

Keywords:  aggregate reactor; aggregate-based model; greenhouse gas; individual-based model; microorganism; soil heterogeneity; soil organic matter

Mesh:

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Year:  2018        PMID: 30412646     DOI: 10.1111/gcb.14515

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  4 in total

1.  Microbial self-recycling and biospherics.

Authors:  Matthias C Rillig; Janis Antonovics; India Mansour
Journal:  Proc Natl Acad Sci U S A       Date:  2021-09-14       Impact factor: 11.205

2.  Synthetic Soil Aggregates: Bioprinted Habitats for High-Throughput Microbial Metaphenomics.

Authors:  Darian Smercina; Neerja Zambare; Kirsten Hofmockel; Natalie Sadler; Erin L Bredeweg; Carrie Nicora; Lye Meng Markillie; Jayde Aufrecht
Journal:  Microorganisms       Date:  2022-04-30

3.  Fallow Land Enhances Carbon Sequestration in Glomalin and Soil Aggregates Through Regulating Diversity and Network Complexity of Arbuscular Mycorrhizal Fungi Under Climate Change in Relatively High-Latitude Regions.

Authors:  Yurong Yang; Wenbo Luo; Jiazheng Xu; Pingting Guan; Liang Chang; Xuefeng Wu; Donghui Wu
Journal:  Front Microbiol       Date:  2022-07-04       Impact factor: 6.064

4.  Using isotope pool dilution to understand how organic carbon additions affect N2 O consumption in diverse soils.

Authors:  Emily R Stuchiner; Joseph C von Fischer
Journal:  Glob Chang Biol       Date:  2022-05-04       Impact factor: 13.211

  4 in total

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