[基于生态系统服务与生态系统健康视角的贵州省生态风险时空演变研究]。

Q3 Environmental Science
Wen-Zhuo Dong, Wei-Ci Su, Rong Gou, Heng-Yang Zhou, Dong-Yue Liu
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引用次数: 0

摘要

贵州省是长江、珠江上游重要的生态屏障。贵州喀斯特地貌发育,生态背景脆弱。岩溶地貌生态风险评价与控制对西南及两江上游生态安全和可持续发展具有重要意义。基于InVEST模型和活力-组织-弹性模型,定量评价了贵州省生态系统服务功能和生态系统健康状况,构建了贵州省生态风险评估模型。利用GIS技术、空间自相关分析方法和重心迁移模型,分析了2000 - 2020年贵州省生态风险的时空变化特征。结果表明:2000 ~ 2020年贵州省生态系统服务功能呈增长趋势,年均增长率为0.3%;生态系统健康状况总体较好,呈良好趋势,年平均增长率为12.6%。生态风险以中等生态风险为主。极低生态风险区和低生态风险区比例上升,中等及以上生态风险区比例下降,整体生态风险呈下降趋势。低生态风险区主要分布在贵州省南部和东南部,高生态风险区分布在贵州省中部、西部和北部。2000年、2005年、2010年、2015年和2020年全球生态风险的Moran’s I分别为0.856、0.836、0.844、0.804和0.768,表明生态风险在空间分布上呈正相关,但空间相关性和空间集聚特征减弱。研究期间,贵州省生态风险的质心和轨迹与其对应的生态风险分布区域基本一致。2000 - 2020年,贵州省生态风险空间分布格局较为稳定。随着时间的推移,极高生态风险与低生态风险的空间分布分散性增强。基于生态系统服务功能和生态系统健康的生态风险评价将为区域生态风险管理和控制提供科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Spatial and temporal evolution of ecological risk in Guizhou Province, China from the perspective of ecosystem services and ecosystem health].

Guizhou Province is an important ecological barrier in the upper reaches of the Yangtze River and the Pearl River. Karst landform in Guizhou is developed, with fragile ecological background. The ecological risk assessment and control of Karst landform are of great significance to ecological security and sustainable development of southwest China and the upper reaches of those two rivers. Based on the InVEST model and vigor-organization-resi-lience model, we quantitatively evaluated the ecosystem services and ecosystem health and constructed the ecological risk assessment model of Guizhou Province. With the help of GIS technology, spatial autocorrelation analysis method and gravity center migration model, we analyzed the spatial and temporal variations of ecological risk in Guizhou Province from 2000 to 2020. The results showed that ecosystem services in Guizhou Province increased from 2000 to 2020, with an annual average growth rate of 0.3%. The ecosystem health status was generally well and showed a good trend, and the annual average growth rate of ecosystem health was 12.6%. The ecological risk was dominated by medium ecological risk. The proportion of extremely low ecological risk area and low ecological risk area increased, the proportion of medium and above ecological risk area decreased, and the overall ecological risk showed a downward trend. The low ecological risk areas were mainly located in the south and southeast of Guizhou Province, while the high ecological risk areas were distributed in the central, western and northern parts of Guizhou Province. The global Moran's I of ecological risk in 2000, 2005, 2010, 2015, and 2020 were 0.856, 0.836, 0.844, 0.804, and 0.768, respectively, indicating that the positive correlation of ecological risk in spatial distribution, but the spatial correlation and spatial agglomeration characteristics were weakened. During the study period, the centroid and trajectory of ecological risk in Guizhou Province were consistent with the distribution area of its corresponding ecological risk. From 2000 to 2020, the spatial distribution pattern of ecological risk in Guizhou Pro-vince was relatively stable. With the evolution of time, the dispersion of spatial distribution of extremely high ecological risk and low ecological risk increased. Ecological risk assessment based on ecosystem services and ecosystem health would provide scientific basis for regional ecological risk management and control.

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应用生态学报
应用生态学报 Environmental Science-Ecology
CiteScore
2.50
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0.00%
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11393
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