The time-space evolution characteristics of the vulnerability of land ecosystems and influencing factors: A case study of the Yellow River Delta Efficiency Eco-economic Zone
ZHANG Shuai, DONG Hui-zhong, ZENG Wen-xia
School of Management, Shandong University of Technology, Zibo 255012, China
The BP artificial neural network model was used to conduct comprehensive evaluations and spatio-temporal evolution analyses of land ecosystem vulnerability in the efficiency eco-economic zone of the Yellow River Delta, then the grey correlation degree model was applied to explore the influencing factors. The results showed that the land ecosystem vulnerability decreased to 1.113 in 2016 from 1.244 in 2005 in the study area, and improved gradually. The vulnerability gradually increased from the west to the east and from the inland to the coastal, which showed two evolutionary characteristics: steady vulnerability type and lower vulnerability type. Average industrial wastewater discharge, proportion of saline-alkali wasteland, the degree of land use, the green coverage of built-up areas, and the proportion of energy-saving and environmental protection expenditures to fiscal expenditures were the main influencing factors of systemic vulnerability. Therefore, the policy focus of reducing the vulnerability of land ecosystems should be on ecological restoration, land utilization structure optimization, energy conservation and emission reduction.
张帅, 董会忠, 曾文霞. 土地生态系统脆弱性时空演化特征及影响因素——以黄河三角洲高效生态经济区为例[J]. 中国环境科学, 2019, 39(4): 1696-1704.
ZHANG Shuai, DONG Hui-zhong, ZENG Wen-xia. The time-space evolution characteristics of the vulnerability of land ecosystems and influencing factors: A case study of the Yellow River Delta Efficiency Eco-economic Zone. CHINA ENVIRONMENTAL SCIENCECE, 2019, 39(4): 1696-1704.
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