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Evaluation of ecological security and analysis of driving factors based on ecological footprint model in Central Plains Urban Agglomeration
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Tao LI1, 2, 3, 4, *, Qiong JIANG1, Ya-lin YANG1, Ya-ting HUANG1
China Environmental Science | 2025, 45(12) : 6841 - 6857
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China Environmental Science | 2025, 45(12): 6841-6857
• Environmental Ecology •
Evaluation of ecological security and analysis of driving factors based on ecological footprint model in Central Plains Urban Agglomeration
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Tao LI1, 2, 3, 4, *, Qiong JIANG1, Ya-lin YANG1, Ya-ting HUANG1
Affiliations
  • 1.College of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou 450046, China
  • 2.Henan Dabieshan National Field Observation and Research Station of Forest Ecosystem, Zhengzhou 450046, China
  • 3.Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan Engineering Research Center for Control & Remediation of Soil Heavy Metal Pollution, Kaifeng 475004, China
  • 4.Xinyang Academy of Ecological Research, Xinyang 464000, China
Published: 2025-12-20
Outline
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Based on the the ecological footprint model, this paper analyze the characteristics of natural capital utilization and comprehensive ecological security situation in CPUA from 2010 to 2021. The weighted Voronoi diagram was used for ecological security zoning, and partial least squares regression was employed to identify the main driving factors. The results revealed that: (1) the per capita ecological footprint (ef) of CPUA increased by 11.27%, while the per capita ecological carrying capacity (ec) remained relatively stable. The per capita ecological footprint size (EFsize) ranged from 0.289~0.300hm2/cap, whereas the ecological footprint depth (EFdepth) ranged between 2.595~2.928 and maintain an upward trend. (2) The ecological pressure index, ecological coordination index, stock-flow usage ratio, and ecological footprint diversity index demonstrated a gradual decline in ecological security situation. The improvement of ecological utilization efficiency contained the trend of ecological deterioration effectively. The comprehensive ecological security index was generally in a "medium insecurity" state. (3) Based on the weighted Voronoi diagram, the CPUA was divided into central core development zone, western transformation development zone, northern optimization development zone, eastern protection development zone, and southern green development zone. (4) The proportion of primary industry output value and the total energy consumption were important positive driving factors in most regions, while the influence of other factors on ecological security varied significantly in different regions.

ecological footprint  /  ecological security  /  weighted Voronoi diagram  /  Partial Least-squares Regression(PLS)  /  Central Plains Urban Agglomeration (CPUA)
李涛, 蒋琼, 杨亚琳, 黄雅婷. 基于生态足迹模型的中原城市群生态安全评价及驱动因素分析. 中国环境科学, 2025 , 45 (12) : 6841 -6857 .
Tao LI, Qiong JIANG, Ya-lin YANG, Ya-ting HUANG. Evaluation of ecological security and analysis of driving factors based on ecological footprint model in Central Plains Urban Agglomeration[J]. China Environmental Science, 2025 , 45 (12) : 6841 -6857 .
Year 2025 volume 45 Issue 12
46
13
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  • Receive Date:2025-05-05
  • Online Date:2026-10-08
  • Published:2025-12-20
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  • Received:2025-05-05
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Affiliations
    1.College of Geographical Sciences, Faculty of Geographical Science and Engineering, Henan University, Zhengzhou 450046, China
    2.Henan Dabieshan National Field Observation and Research Station of Forest Ecosystem, Zhengzhou 450046, China
    3.Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan Engineering Research Center for Control & Remediation of Soil Heavy Metal Pollution, Kaifeng 475004, China
    4.Xinyang Academy of Ecological Research, Xinyang 464000, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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