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Divergent driving mechanisms of community temporal stability in China's drylands.
Wang, Kai; Wang, Cong; Fu, Bojie; Huang, Jianbei; Wei, Fangli; Leng, Xuejing; Feng, Xiaoming; Li, Zongshan; Jiang, Wei.
Afiliação
  • Wang K; State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
  • Wang C; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Fu B; State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
  • Huang J; Shaanxi Yan'an Forest Ecosystem National Observation and Research Station, Beijing, 100085, China.
  • Wei F; National Observation and Research Station of Earth Critical Zone on the Loess Plateau in Shaanxi, Xi'an, 710061, China.
  • Leng X; State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
  • Feng X; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China.
  • Li Z; Shaanxi Yan'an Forest Ecosystem National Observation and Research Station, Beijing, 100085, China.
  • Jiang W; National Observation and Research Station of Earth Critical Zone on the Loess Plateau in Shaanxi, Xi'an, 710061, China.
Environ Sci Ecotechnol ; 20: 100404, 2024 Jul.
Article em En | MEDLINE | ID: mdl-38585198
ABSTRACT
Climate change and anthropogenic activities are reshaping dryland ecosystems globally at an unprecedented pace, jeopardizing their stability. The stability of these ecosystems is crucial for maintaining ecological balance and supporting local communities. Yet, the mechanisms governing their stability are poorly understood, largely due to the scarcity of comprehensive field data. Here we show the patterns of community temporal stability and its determinants across an aridity spectrum by integrating a transect survey across China's drylands with remote sensing. Our results revealed a U-shaped relationship between community temporal stability and aridity, with a pivotal shift occurring around an aridity level of 0.88. In less arid areas (aridity level below 0.88), enhanced precipitation and biodiversity were associated with increased community productivity and stability. Conversely, in more arid zones (aridity level above 0.88), elevated soil organic carbon and biodiversity were linked to greater fluctuations in community productivity and reduced stability. Our study identifies a critical aridity threshold that precipitates significant changes in community stability in China's drylands, underscoring the importance of distinct mechanisms driving ecosystem stability in varying aridity contexts. These insights are pivotal for developing informed ecosystem management and policy strategies tailored to the unique challenges of dryland conservation.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article