JOURNAL OF NATURAL RESOURCES ›› 2017, Vol. 32 ›› Issue (3): 434-448.doi: 10.11849/zrzyxb.20160295

• Resource Economics • Previous Articles     Next Articles

A Study on Transfer of Ecosystem Service Values in Mining Cities by Meta-analysis

ZHU Xiao-lei1, ZHANG Jian-jun1, 2, CHENG Ming-fang1, XU Qin1   

  1. 1. School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China;
    2. Key Laboratory of Land Consolidation and Rehabilitation, Ministry of Land and Resources, Beijing 100083, China
  • Received:2016-03-21 Revised:2016-06-03 Online:2017-03-20 Published:2017-03-20
  • Supported by:
    National Natural Science Foundation of China, No. 41571507 and 41101531; Beijing Higher Education Young Elite Teacher Project, No. YETP0639.

Abstract: Mining activities seriously interfere with the regional land use, which lead to a strong influence in ecosystem. After collecting many studies related to ecosystem service values (ESVs) in resource-based cities in China, this paper extracts a series of variables with Meta-analysis to establish benefit transfer models for assessing ESVs of cultivated land, forest land, grassland and waters especially in mining cities, then examines the feasibility of these models in Wu’an City to evaluate the ESVs of Wu’an in 1987, 2001 and 2014. The results show that: 1) the benefit transfer method can effectively assess the ESVs in mining cities; 2) there is a declining trend after the increase in the total ESVs of Wu’an, and a significant decrease occurred after 2001; 3) from the aspect of land area, the degree that the mining activities interfere with the land use type is cultivated land>grassland>waters>forest land from 1987 to 2014; from the aspect of the ESVs, the degree that the mining activities interfere with the land use type is cultivated land>waters>grassland>forest land; and 4) when the total area of ecological land reduces, a reasonable optimization of ecological land structure can improve the total ESVs rather.

Key words: an, benefit transfer, ecosystem service, Meta-analysis, Wu’

CLC Number: 

  • F299.23