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应用生态学报 ›› 2025, Vol. 36 ›› Issue (4): 1211-1221.doi: 10.13287/j.1001-9332.202504.021

• 研究论文 • 上一篇    下一篇

生态系统服务和生态系统健康视角下的贵州省生态风险时空演变

董文卓1, 苏维词1,2*, 勾容1, 周恒阳1, 刘东岳1   

  1. 1重庆师范大学地理与旅游学院, 重庆 401331;
    2贵州省山地资源研究所, 贵阳 550001
  • 收稿日期:2024-09-19 接受日期:2025-02-09 出版日期:2025-04-18 发布日期:2025-10-18
  • 通讯作者: *E-mail: suweici@sina.com
  • 作者简介:董文卓, 男, 2002年生, 硕士研究生。主要从事喀斯特地区生态环境变化及区域经济发展研究。E-mail: dongzhuo0110@163.com
  • 基金资助:
    国家自然科学基金项目(42161052)和贵州省科技支撑项目(黔科合支撑[2020]4Y008)

Spatial and temporal evolution of ecological risk in Guizhou Province, China from the perspective of ecosystem services and ecosystem health

DONG Wenzhuo1, SU Weici1,2*, GOU Rong1, ZHOU Hengyang1, LIU Dongyue1   

  1. 1College of Geography and Tourism, Chongqing Normal University, Chongqing 401331, China;
    2Institute of Mountain Resources of Guizhou Province, Guiyang 550001, China
  • Received:2024-09-19 Accepted:2025-02-09 Online:2025-04-18 Published:2025-10-18

摘要: 贵州省是长江和珠江上游重要的生态屏障,喀斯特地貌发育,生态本底脆弱,其生态风险评价和管控对我国西南地区及两江上游的生态安全和可持续发展都具有重要意义。基于InVEST模型和活力-组织力-恢复力模型,对贵州省的生态系统服务和生态系统健康进行定量评估,并构建贵州省生态风险评估模型,借助GIS技术、空间自相关分析方法和重心迁移模型分析2000—2020年贵州省生态风险的时空演变特征。结果表明: 2000—2020年,贵州省生态系统服务有所上升,综合生态系统服务的年平均值增长率为0.3%;贵州省生态系统健康状况总体较好且呈变好趋势,生态系统健康的年平均值增长率为12.6%;贵州省生态风险以中等生态风险为主,极低生态风险区、低生态风险区面积占比上升,中等及以上等级生态风险区面积占比下降,生态风险总体呈下降趋势;低生态风险区主要位于贵州省南部和东南部,高生态风险区分布于贵州省中部、西部和北部。2000、2005、2010、2015和2020年生态风险的全局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具有显著的正相关关系,但空间相关性和空间集聚特征均有所减弱。研究时段内,贵州省生态风险的重心位置及运行轨迹与其对应的生态风险的分布区域一致。2000—2020年,贵州省生态风险的空间分布格局较稳定,但随着时间演变,极高生态风险和极低生态风险空间分布的离散性增强。基于生态系统服务和生态系统健康开展生态风险评估,可为区域生态风险管控提供科学依据。

关键词: 生态系统服务, 生态系统健康, 生态风险, InVEST模型, 活力-组织力-恢复力模型, 贵州省

Abstract: 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.

Key words: ecosystem service, ecosystem health, ecological risk, InVEST model, vigor-organization-resilience model, Guizhou Province