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合成脆弱性评估,以支持中国深圳沿海城市化地区的气候变化适应。

Synthetic vulnerability assessment to inform climate-change adaptation along an urbanized coast of Shenzhen, China.

机构信息

State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.

The Natural Capital Project, Stanford University, Stanford, CA, 94305-5020, USA; School of Environmental and Forest Sciences, University of Washington, Seattle, WA, 98195, USA.

出版信息

J Environ Manage. 2020 Feb 1;255:109915. doi: 10.1016/j.jenvman.2019.109915. Epub 2019 Nov 26.

Abstract

Coastal zones are increasingly threatened by stressors from both climate change and human activities. Vulnerability assessment is central to the implementation of interventions for adapting climate change. However, synthetic vulnerability based on an integrative analysis of ecosystem service and socioeconomic characteristics in urban coastal zones with tightly coupled human-nature interactions is not fully understood. Based on the Coastal Vulnerability model of the InVEST (Integrated Valuation of Environmental Services and Tradeoffs) tool, a holistic framework for assessing coastal vulnerability to multiple hazards (sea level rise, waves and storm surge) was developed by integrating ecological, physical and socioeconomic factors into a single spatial representation and applied to the coast of Shenzhen, China. Based on the levels of biophysical exposure, sensitivity and adaptive capacity of coastal communities, a three-dimensional decision matrix was proposed for planning location-specific interventions. Results show that approximately 15% of the coastline were categorized as having high vulnerability. Spatial vulnerability heterogeneity was found within and across the coastal districts, with Yantian grouped into the most vulnerable district. The biophysical exposure has greater influences on the overall vulnerability than either sensitivity or adaptive capacity. This study highlights the significance of complex interactions between natural ecosystems and socioeconomic conditions in driving vulnerability and suggests that combined natural-based defenses and socioeconomic factors contribute to lower vulnerability. The results can help decision-makers prioritize coastal zones for interventions and identifying adaptive strategies that target drivers of vulnerability.

摘要

沿海地区受到气候变化和人类活动的双重压力威胁日益增加。脆弱性评估是实施适应气候变化干预措施的核心。然而,在人类与自然紧密耦合的城市沿海地区,基于生态系统服务和社会经济特征综合分析的综合脆弱性,尚未得到充分理解。本研究基于 INVENT(综合环境服务和权衡评估)工具的沿海脆弱性模型,通过将生态、物理和社会经济因素整合到单一的空间表示中,开发了一个综合评估多种灾害(海平面上升、波浪和风暴潮)对沿海脆弱性的框架,并将其应用于中国深圳沿海地区。根据沿海社区的生物物理暴露、敏感性和适应能力水平,提出了一个三维决策矩阵,用于规划特定位置的干预措施。结果表明,约 15%的海岸线被归类为高度脆弱。沿海地区内部和之间存在脆弱性的空间异质性,盐田区被归类为最脆弱的地区。生物物理暴露对整体脆弱性的影响大于敏感性或适应能力。本研究强调了自然生态系统和社会经济条件之间复杂相互作用对脆弱性的驱动作用,并表明综合自然防御和社会经济因素有助于降低脆弱性。研究结果可以帮助决策者确定干预的优先沿海地区,并确定针对脆弱性驱动因素的适应策略。

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