基于耦合模型的广东省生态系统健康时空动态变化

基于耦合模型的广东省生态系统健康时空动态变化

基金项目:

广西八桂学者专项项目；国家自然科学(42061059)；广西自然科学(2020GXNSFBA297160)；广西空间信息与测绘重点实验室资助课题(191851016)

摘要:

探究广东省2009-2019年的生态系统健康时空动态变化特征,可为广东省社会经济与生态系统健康可持续发展提供数据支持与理论参考。本文基于VOR模型耦合生态服务系统价值并采用最小二乘法优化组合赋权方法构建新的多指标评价体系,对广东省2009-2019年的生态系统健康状况进行评价与分析。结果表明：(1)广东省近11年来生态系统健康状况整体处于二级亚健康及以下水平,呈现北部内陆地区优于南部沿海地区的空间分布特征；(2) )广东省近11年来生态系统健康等级变化主要在二级和三级之间相互转化,生态系统健康等级为二级的区域面积占比呈现起伏状态。处于二级亚健康水平的区域面积占比在2015年、2016年和2018年高达50%以上,生态系统健康状况最好；而2009-2011年以及2019年处于二级亚健康水平的区域面积占比不到30%,生态系统健康状况有变差的趋势。(3)广东省在2009-2019年间生态系统健康状况处于改善的区域面积比退化的区域高4.79%,但2014-2019年间相较于2009-2014年间生态系统健康等级退化的区域面积占比上升23.05%,生态系统健康状况在2014-2019年间出现明显恶化,呈现由二级亚健康水平向三级一般健康水平转化趋势。研究结果从时间和空间上定量分析 2009-2019 年广东省生态系统健康状况,根据南北地区生态系统健康状况差异提出相应政策建议,对推动广东省生态文明建设协调发展具有实际意义。

Abstract:

The characteristics of spatial and temporal dynamics of ecosystem health in Guangdong Province from 2009 to 2019 is explored, it can provide data support and theoretical references for the sustainable development of socio-economic and ecosystem health in Guangdong Province. The ecosystem health of Guangdong Province from 2009 to 2019 was evaluated and analyzed using a new multi-indicator evaluation system based on the VOR model coupled with ecosystem values and a least squares optimal combination of weighting methods. A new multi-indicator evaluation system based on the VOR model coupled with ecosystem values of ecosystem services is built to evaluate and analyze the ecosystem health of Guangdong Province from 2009 to 2019, which uses the least squares method to optimize the combination of weighting. The results show that: (1) In the past 11 years, the overall ecosystem health status of Guangdong Province was at the Level 2 of subhealth or below, which had present the spatial distribution characteristics that the northern inland areas were better than the southern coastal areas; (2) The change of ecosystem health level in Guangdong Province in the past 11 years was mainly transformed between Level 2 and Level 3, and the percentage of area in Level 2 of ecosystem health showed an undulating state. The percentage of the area in Level 2 of subhealth was over 50% in 2015, 2016 and 2018, and the ecosystem health was the best; while the percentage of the area in Level 2 of subhealth was less than 30% in 2009-2011 and 2019, and the ecosystem health became worse. (3) In Guangdong Province, the area of areas with improved ecosystem health was 4.79% higher than that of degraded areas in 2009-2019, but the percentage of areas with degraded ecosystem health level increased by 23.05% in 2014-2019 compared with that in 2009-2014, and the ecosystem health deteriorated significantly in 2014-2019, showing a trend from the Level 2 of subhealth to a third generally healthy. The results of the study quantitatively analyze the ecosystem health of Guangdong Province from 2009-2019 in terms of time and space, and propose the corresponding policy recommendations based on the differences in ecosystem health between the north and south regions, which have practical implication for promoting the coordinated development of ecological civilization in Guangdong Province.

窦世卿,张楠,靖娟利,等. 基于耦合模型的广东省生态系统健康时空动态变化[J]. 科学技术与工程, 2022, 22(27): 12223-12232.
Dou Shiqing, Zhang Nan, Jing Juanli, et al. Research on Spatio-temporal Dynamic Changes of Ecosystem Health in Guangdong Province Based on Coupling Model[J]. Science Technology and Engineering,2022,22(27):12223-12232.

复制

相关知识

生态系统健康研究进展
河北省区域生态健康及生态系统安全评价与建设
长江中游城市群生态系统健康时空演变特征分析
基于空间计量方法的我国城市空气质量与居民健康的关系研究
东研模式新布局，打造健康生态圈
生态城市基本理念及规划原理与模型方法
全国健康扶贫动态管理系统—全国健康扶贫动态管理系统app
基于加权秩和比模型的湖北省健康管理服务效果综合评价研究
广东肇庆市大力推行生态与健康养殖
广东省卫生健康委 广东省中医药局关于印发广东省老年医疗护理服务试点工作方案的通知

网址: 基于耦合模型的广东省生态系统健康时空动态变化 https://www.trfsz.com/newsview561923.html