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Evolution and reconstruction of industrial ecosystems of mining cities in the traditional industrial area of northeastern China: A case study of Dashiqiao in Liaoning Province.

HUANG Yu-pu1,2,3, LU Cheng-peng1,2*, XIAO Xiao1,2, XING Ran1,2,3, REN Wan-xia1,2, XUE Bing1,2   

  1. (1Key Laboratory of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China; 2Key Laboratory for Environment Computation and Sustainability of Liaoning Province, Shenyang 110016, China; 3University of Chinese Academy of Sciences, Beijing 100049, China).
  • Online:2018-10-10 Published:2018-10-10

Abstract: Based on the theories of evolutionary economic geography and industrial ecology, we mapped the evolutionary process and characteristics of magnesium industry, and established the structure and function model of magnesium industry ecosystem with Dashiqiao City of Liaoning Province as a case. The evolution of magnesium industry system in Dashiqiao was divided into five phases: initial phase, fast phase, mature phase, transitional phase, and optimizing phase. Each phase presented different evolutionary characteristics due to diverse influencing factors. From the perspective of industrial ecology, the structural model of magnesium industry ecosystem in Dashiqiao included five subsystems: primary industrial subsystem, resource and environment subsystem, exogenous industrial subsystem, symbiosis industrial subsystem, and industrial innovation subsystem. The five subsystems interacted with each other and formed a network through systematic coupling and multilevel utilization of material and energy. This structure is similar to a general ecosystem, both of which have the characteristics of isomorphism and difference. Regulating the evolutionary path and process of magnesium industry ecosystem can maximize ecological, economic and social benefits and further promote the construction of ecological civilization of magnesium industry in Dashiqiao.

Key words: Great Xing’an Mountains, forest structure, comprehensive weight, optimization simulation, tending felling