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Reduced soil multifunctionality and microbial network complexity in degraded and revegetated alpine meadows.
Wu, Bobo; Ding, Mingjun; Zhang, Hua; Devlin, Adam Thomas; Wang, Peng; Chen, Lu; Zhang, Yueju; Xia, Yang; Wen, Jiawei; Liu, Linshan; Zhang, Yili; Wang, Minhuang.
Afiliação
  • Wu B; Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, School of Geography and Environment, Jiangxi Normal University, Nanchang, 330022, China.
  • Ding M; Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, School of Geography and Environment, Jiangxi Normal University, Nanchang, 330022, China.
  • Zhang H; Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, School of Geography and Environment, Jiangxi Normal University, Nanchang, 330022, China. Electronic address: zhangh2013@jxnu.edu.cn.
  • Devlin AT; Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, School of Geography and Environment, Jiangxi Normal University, Nanchang, 330022, China.
  • Wang P; Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, School of Geography and Environment, Jiangxi Normal University, Nanchang, 330022, China.
  • Chen L; Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, School of Geography and Environment, Jiangxi Normal University, Nanchang, 330022, China.
  • Zhang Y; Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, School of Geography and Environment, Jiangxi Normal University, Nanchang, 330022, China.
  • Xia Y; Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, School of Geography and Environment, Jiangxi Normal University, Nanchang, 330022, China.
  • Wen J; Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, School of Geography and Environment, Jiangxi Normal University, Nanchang, 330022, China.
  • Liu L; Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Zhang Y; Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Wang M; School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China. Electronic address: wangmh59@mail.sysu.edu.cn.
J Environ Manage ; 343: 118182, 2023 Oct 01.
Article em En | MEDLINE | ID: mdl-37224687
Understanding how microbial processes develop and change in alpine meadow soils is key to global initiatives toward environmental sustainability and local land management. Yet, how microbial interactions mediate soil multifunctionality in disturbed and managed alpine meadows remains understudied. Here, we investigated multiple community metrics, particularly microbial network properties and assembly processes, of soil bacterial and fungal communities and their links to certain soil functions along a degradation-restoration sequence of alpine meadows in the Qinghai-Tibetan Plateau. Meadow degradation caused significant declines in soil hydraulic conductivity (e.g., higher bulk density, reduced soil porosity and water content) and nitrogen availability, leading to lowered soil multifunctionality. Meadow degradation only caused weak changes in microbial abundance, alpha diversity, and community composition, but remarkably reduced bacterial network complexity, to a less extent for fungal network properties. Short-term artificial restoration with productive grass monocultures did not restore soil multifunctionality, in turn even destabilized bacterial network and favored pathogenic over mutualistic fungi. Soil fungi community are more stable than bacteria in disturbed alpine meadows, and they evolved with distinct assembly strategies (stochastic-dominant versus deterministic-driven processes, respectively). Further, microbial network complexity, positively and better predicts soil multifunctionality than alpha diversity. Our work shows how microbial interaction complexity may enhance soil multifunctionality in degraded alpine meadow ecosystems, noting that meadow restoration with low plant species diversity may failed in restoring multiple ecosystem functions. These findings would help predict the outcomes of global environmental changes and inform management strategies in regional grassland conservation and restoration.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Pradaria Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: J Environ Manage Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Pradaria Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: J Environ Manage Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China