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Divergent driving mechanisms of community temporal stability in drylands of China
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  • Kai Wang,
  • Cong Wang,
  • Bojie Fu,
  • Jianbei Huang,
  • Fangli Wei,
  • Xiaoming Feng,
  • Zongshan Li,
  • Wei Jiang
Kai Wang
State Key Laboratory of Urban and Regional Ecology
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Cong Wang
State Key Laboratory of Urban and Regional Ecology

Corresponding Author:wang7088sdu@126.com

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Bojie Fu
State Key Laboratory of Urban and Regional Ecology
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Jianbei Huang
Max Planck Institute for Biogeochemistry
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Fangli Wei
State Key Laboratory of Urban and Regional Ecology
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Xiaoming Feng
State Key Laboratory of Urban and Regional Ecology
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Zongshan Li
State Key Laboratory of Urban and Regional Ecology
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Wei Jiang
State Key Laboratory of Urban and Regional Ecology
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Abstract

Climate change and human activities are changing the structure and function of dryland ecosystems at unprecedented rate, thus threatening the stability of ecosystems. The stability of dryland ecosystems is vital for ecological security and local livelihoods. However, the mechanisms that underlie ecosystem stability in drylands remain uncertain due to limited field data from regional studies. Combined with transect survey in the drylands of China along the aridity gradient and remote sensing data, we characterized community temporal stability and identified its driving mechanisms along the aridity gradient. The results showed the community temporal stability in drylands of China revealed a U-shaped curve with increasing aridity and its major driving mechanisms shifted at an aridity level of ~0.88. In regions where aridity is below 0.88, increasing precipitation and species richness resulted in higher community productivity and community stability. In regions where aridity is above 0.88, however, higher soil organic carbon content and species richness may lead to higher variability of community productivity and lower ecosystem stability. Overall, our findings revealed that there existed an aridity threshold leading to abrupt changes on community stability in drylands of China. Our study also suggested divergent driving mechanisms of community stability above and below the threshold, which should be considered in policy making regarding the ecosystem management of drylands.