生态与农村环境学报 ›› 2020, Vol. 36 ›› Issue (5): 645-653.doi: 10.19741/j.issn.1673-4831.2019.0249

• 区域环境与发展 • 上一篇    下一篇

基于生态系统服务的中国生态福祉区划时空格局与潜力分析

郑德凤, 王燕燕, 刘晓星, 姜俊超   

  1. 辽宁师范大学地理科学学院, 辽宁 大连 116029
  • 收稿日期:2019-04-12 出版日期:2020-05-25 发布日期:2020-05-23
  • 通讯作者: 郑德凤 E-mail:defengzheng@lnnu.edu.cn
  • 作者简介:郑德凤(1970-),女,黑龙江伊春人,教授,博士,主要从事资源环境与可持续发展、生态环境保护研究。E-mail:defengzheng@lnnu.edu.cn
  • 基金资助:
    国家社会科学基金(17BJL105)

Temporal-spatial Pattern and Potential Analysis of China's Ecological Well-being Zone Based on Ecosystem Services

ZHENG De-feng, WANG Yan-yan, LIU Xiao-xing, JIANG Jun-chao   

  1. School of Geography, Liaoning Normal University, Dalian 116029, China
  • Received:2019-04-12 Online:2020-05-25 Published:2020-05-23

摘要: 基于生态系统服务理论,引入生态系统贡献率对生态福祉核算方法进行改进,在此基础上构建人均生态福祉及生态-经济效率模型,同时引入基于公平与效率视角的生态福祉区划模型,进而提出生态福祉潜力指数,并以中国31个省(区、市)为研究对象,分析2000-2015年生态福祉区划的时空分布格局与生态福祉潜力。结果表明:(1)研究时段内人均生态福祉与生态-经济效率在省级分布上存在较大差异,部分省区市人均生态福祉高,生态-经济效率低,反之亦然。(2)基于生态福祉公平性与效率性差异,将中国31个省区市划分为4类:高效-高福祉区在2015年首次出现,分布在湖南省;高效-低福祉区主要分布在东、中部地区;低效-高福祉区主要分布在西部地区;低效-低福祉区在2015年零散分布在四川、广西、江西和海南4省区。(3)通过双变量空间自相关分析得出相对福祉与相对效率之间存在空间负相关关系,高-低聚集区多分布在西部内陆地区,低-高聚集区多分布在东部沿海地区。

关键词: 生态福祉, 生态-经济效率, 区划, 公平与效率, 双变量空间自相关

Abstract: In this study, the per capital ecological well-being and eco-economic efficiency models were firstly constructed on the basis of the improving ecological well-being accounting method by introducing the contribution rate of the ecosystem which was supported by the ecosystem service theory. Furthermore, ecological well-being zoning model was proposed from the perspective of relative justice and efficiency. And then the potential indexes of ecological well-being were calculated by using the above-mentioned models. Lastly, the temporal-spatial pattern of ecological well-being zone and ecological well-being potential were analyzed for 31 provinces of China from 2000 to 2015. The results show that: (1) There was significant difference among provinces about per capital ecological well-being and eco-economic efficiency during the study period. In some provinces, per capital ecological well-being was high while the eco-economic efficiency was low, and some provinces were on the contrary. (2) 31 provinces were divided into four groups by the differences in equity and efficiency of ecological well-being. The first group was for high efficiency-high well-being zones which first appeared in Hunan Province in 2015. The second group was for high efficiency-low well-being zones mainly distributed in the eastern and central provinces. The third group was for low efficiency-high well-being zones mainly distributed in the western provinces. And the fourth group was for low efficiency-low well-being zones scattering in Sichuan, Guangxi, Jiangxi and Hainan provinces in 2015. (3) There was a spatial negative correlation between relative well-being and relative efficiency through bivariate spatial autocorrelation analysis, the high-low clusters were mainly located in the western inlands and the low-high groups mainly in the eastern coastal provinces.

Key words: ecological well-being, eco-economic efficiency, zoning, justice and efficiency, bivariate spatial autocorrelation

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