长三角生态保护红线区人为干扰风险空间分异特征研究
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生态环境部南京环境科学研究所

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国家自然科学基金青年项目(42407635);国家重点研发计划科技基础资源调查专项(2023FY100101);江苏省自然科学基金(BK20220205);中央级公益性科研院所基本科研业务专项(GYZX230309)


Spatial differentiation characteristics of anthropogenic disturbance risk in ecological conservation redlines in the Yangtze River Delt
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1.Nanjing Institute of Environmental Sciences,Ministry of Ecology and Environment;2.China

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    摘要:

    科学认知生态保护红线内人为干扰风险的时空分布格局与特征,识别人为干扰风险主要驱动因素,可为区域国土空间规划和生态环境管理提供基础支撑和科学依据。聚焦长三角生态保护红线,选取人类活动危险性、人为干扰可达性、生态敏感性为风险因子,基于空间贝叶斯网络构建了人为干扰风险非线性定量化评估模型,开展了长三角生态保护红线人为干扰风险空间分异特征研究。研究结果表明,(1)长三角生态保护红线人为干扰风险整体以较低风险为主,人为干扰风险低、较低、中、较高、高风险区的占比分别为0.76%、69.60%、17.88%、9.59%和2.21%;(2)人为干扰风险分布格局呈南高北低趋势,浙江省、安徽省风险相对较高,江苏省、上海市风险相对较低,人为干扰高风险区和人类活动高危险性-人为干扰高可达性-生态高敏感性区主要分布在浙江省、安徽省及其交界处;(3)不同风险因子对人为干扰风险的影响程度有所差异,按影响强度自高向低依次为生态敏感性-人为干扰可达性-人类活动危险性,三者的主要驱动因素则分别为建设用地危险性、海拔、红线内农田敏感性。本研究能够为提升区域生态环境规划管理的科学性和有效性提供理论参考与支持。

    Abstract:

    To provide technical support and scientific basis for regional ecological protection and restoration, it is important to analyze the spatial differentiation characteristics of anthropogenic disturbance risk in ecological conservation redlines (ECRs) and to identify key risk factors related to human activities, as these elements are crucial for formulating targeted conservation strategies and mitigating human-induced ecological degradation. The ECRs in the Yangtze River Delta were taken as the research area in this study due to the region's rapid urbanization, high ecological value, and significant pressure from human activities, making it an ideal case for examining the interplay between development and conservation. Using the spatial Bayesian network with quantitative, probabilistic, and spatial features, a nonlinear quantitative evaluation model for human disturbance risk was constructed by selecting risk factors such as human activity hazard, human disturbance intensity, and ecological sensitivity, as this integrated approach allows for a comprehensive assessment of multidimensional risks while accounting for spatial heterogeneity and uncertainty. Then, this model was used to analyze the spatial differentiation characteristics of anthropogenic disturbance risk in the ECRs in the Yangtze River Delta, revealing distinct regional patterns that reflect varying levels of human pressure and ecosystem vulnerability. The results showed that the overall human disturbance risk level was relatively low, with risk proportions of low (0.76%), relatively low (69.60%), medium (17.88%), relatively high (9.59%), and high (2.21%), indicating that most areas within the ECRs remain under moderate to low risk but with notable localized high-risk hotspots. Furthermore, the human disturbance risk level was high in the south (Anhui and Zhejiang) but low in the north (Shanghai and Jiangsu), a spatial pattern driven by differences in terrain complexity, land-use intensity, and regional development policies. Meanwhile, the high-risk areas with prominent levels of human activity hazard, human disturbance intensity, and ecological sensitivity were mainly distributed in Zhejiang, Anhui, and their border areas, where mountainous terrain, agricultural expansion, and infrastructure development intersect to amplify ecological pressures. Among these risk factors, ecological sensitivity was the main driver for human disturbance risk, followed by human disturbance intensity and human activity hazard, suggesting that ecosystems with high natural vulnerability are more susceptible to degradation even under moderate human pressure. The key drivers of these risk factors were construction land hazard, elevation, and cropland sensitivity, highlighting the need for targeted management of urban sprawl, slope stability, and agricultural practices in ecologically sensitive zones. This research provides technical support for the prevention and control of anthropogenic disturbance risk in the ECRs in the Yangtze River Delta from the aspects of human activity regulation within the ECRs, the optimization and adjustment of the ECRs, and the prevention of construction land expansion, offering actionable insights for policymakers to balance ecological conservation with sustainable development in one of China's most economically dynamic regions.

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刘 静,张 琨,邹长新,许小娟,林乃峰,仇洁,杨悦.长三角生态保护红线区人为干扰风险空间分异特征研究.生态学报,,(). http://dx. doi. org/[doi]

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