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March 21, 2026Nature Communications2 citationsOpen Access

Impacts of local anthropogenic stressors outpace those of climate on coral reef collapse in the northern South China Sea

HXHuili XuYLYuanchao LiTLTong Liu

Key Points

  • This research aims to quantify the local drivers of coral reef degradation in the northern South China Sea.
  • Collected two decades of field data from 102 sites across 22 coral reefs
  • Employed panel regressions and structural equation modeling to analyze data
  • Identified and quantified key stressors affecting coral cover
  • Local anthropogenic stressors account for 73% of variance in live coral cover
  • Overfishing, nutrient pollution, and urbanization identified as primary stressors
  • Proposed management strategies could increase coral coverage by two to four times under global warming scenarios

Abstract

Coral reefs are declining globally, but region-specific drivers of degradation remain poorly quantified, hindering local conservation policymaking. By collecting two decades of field data from 102 sites across 22 coral reefs in the northern South China Sea and employing panel regressions and structural equation modeling, we identify key stressors that are responsible for 40% (17-50%) of the declines in live coral cover. Local anthropogenic stressors-overfishing, nutrient pollution from agriculture and coastal urbanization-collectively explain 73% of live coral coverage variance, outweighing climate-associated thermal stress. We then propose an Integrated Coast-Reef Management framework that couples land-sea interventions-prioritizing sustainable fisheries, watershed nutrient management, and controls of crown-of-thorns starfish outbreaks. Spatial simulations indicate that this synergistical strategy could elevate live coral coverage by two to four times under global warming scenarios, avoiding reef calcification collapse. Our findings contribute to coral conservation paradigms by highlighting tailored strategies at the local level beyond globalized approaches, which offer scalable solutions for regions facing similar pressures.

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Cite This Study

Xu et al. (2026) studied this question.

synapsesocial.com/papers/69be36416e48c4981c6750dehttps://doi.org/10.1038/s41467-026-70760-1
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