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Linkage between temperature sensitivity of SOM decomposition and microbial communities depends on soil fractions.
Qin, Shuqi; Fang, Kai; Song, Yutong; Kang, Luyao; Wang, Siyu; Yang, Yuanhe.
Afiliação
  • Qin S; State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
  • Fang K; China National Botanical Garden, Beijing, China.
  • Song Y; State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
  • Kang L; Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China.
  • Wang S; Coastal Forestry Research Center of the National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China.
  • Yang Y; State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
Glob Chang Biol ; 30(8): e17456, 2024 Aug.
Article em En | MEDLINE | ID: mdl-39109396
ABSTRACT
The magnitude of terrestrial carbon (C)-climate feedback largely depends on the temperature sensitivity of soil organic matter (SOM) decomposition (Q10). However, our understanding of determinants of Q10 for SOM fractions such as particulate and mineral-associated organic matter (POM and MAOM, respectively) is still inadequate. Particularly, it remains unclear whether microbial effects on Q10 are fraction-dependent, which induces large uncertainties in projecting soil C dynamics. Here, we conducted large-scale topsoil sampling on the Tibetan Plateau, in combination with SOM fractionation and 300-day laboratory incubation to assess SOM fraction-dependent linkages between Q10 and microbial properties. We found that compared with MAOM, POM had larger Q10 and greater microbial diversity, and also structured distinct microbial communities as well as their co-occurrence patterns. Furthermore, associations of Q10 with microbial properties differed between the two SOM fractions. Bacterial community composition and relative abundance of bacterial keystone taxa affected Q10 for POM and MAOM respectively, while bacterial alpha diversity showed opposite relationships with Q10 for POM and MAOM. These findings highlight the necessity of incorporating SOM fraction-dependent microbial properties and their linkages with Q10 into Earth system models to accurately predict terrestrial C-climate feedback.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Solo / Microbiologia do Solo / Temperatura / Microbiota País/Região como assunto: Asia Idioma: En Revista: Glob Chang Biol Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Solo / Microbiologia do Solo / Temperatura / Microbiota País/Região como assunto: Asia Idioma: En Revista: Glob Chang Biol Ano de publicação: 2024 Tipo de documento: Article