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Coupling Relationship and Driving Factors of Habitat Quality and Landscape Pattern in Huaihe River Basin and Haihe River Basin
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Shuang Wang1, 3, 5, Wenjie Wu3, Shenghui Zhou3, Xiao Zhao4, Peijun Shi1, 2, 5
Journal of Soil and Water Conservation | 2026, 40(4) : 262 - 275
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Journal of Soil and Water Conservation | 2026, 40(4): 262-275
• Basic Research •
Coupling Relationship and Driving Factors of Habitat Quality and Landscape Pattern in Huaihe River Basin and Haihe River Basin
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Shuang Wang1, 3, 5, Wenjie Wu3, Shenghui Zhou3, Xiao Zhao4, Peijun Shi1, 2, 5
Affiliations
  • 1.Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China
  • 2.Department of Geography,Faculty of Arts and Sciences,Beijing Normal University,Zhuhai 519087,Guangdong,China
  • 3.College of;Geographical Science,Faculty of Geographical Science and Engineering,Henan University,Zhengzhou 450046,China
  • 4.College of Environment and Climate,Jinan University,Guangzhou 511443,China
  • 5.State Key Laboratory of;Earth Surface Processes and Disaster Risk Reduction,Beijing Normal University,Beijing 100875,China
Published: 2026-08-28 doi: 10.13870/j.cnki.stbcxb.2026.04.005
Outline
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Objective This study aims to investigate the response status, regional differences, and influencing factors of habitat quality and landscape patterns in the Huaihe River basin and the Haihe River basin, providing theoretical support and a scientific basis for decision-making in the development of differentiated ecological protection strategies for the river basins. Methods Land use data from five periods between 2003 and 2023 were selected. The InVEST model was used to evaluate habitat quality in the river basins, and landscape pattern indices were calculated. The bivariate spatial autocorrelation method was employed to analyze the response relationship and inter-basin differences between the two. Furthermore, the explanatory power of physical geographical factors on the spatial differentiation of habitat quality was explored. Results 1) Cultivated land area decreased significantly in the Huaihe River basin (-20 394.68 km²) and the Haihe River basin (-13 783.16 km²), while the areas of forest land, water bodies, and construction land all increased. Habitat quality was predominantly at low levels and declined over time, with decreases of 6.48% and 6.55%, respectively. 2) Habitat fragmentation gradually intensified in both river basins, while patch shape complexity remained stable (FRAC_MN fluctuation < 0.003). Habitat quality in the Huaihe River basin showed a positive correlation with contagion (CONTAG) and prominent negative responses to patch shape complexity and land distribution uniformity. In contrast, habitat quality in the Haihe River basin was mainly negatively affected by the intensification of fragmentation. 3) Topographic factors were the core driving factors of habitat quality changes in the Huaihe River basin (q = 0.295) and the Haihe River basin (q = 0.467), followed by atmospheric pollution stress (PM2.5, O3), exhibiting spatiotemporal dynamics. The explanatory power of the interactions among natural environmental factors was stronger than that of single factors. Conclusion The evolution of habitat quality in the Huaihe River basin and the Haihe River basin exhibits differentiated characteristics. The heterogeneity of the response mechanisms between habitat quality and landscape patterns in the river basins requires the implementation of zonal governance and targeted restoration strategies to enhance the stability and service functions of regional ecosystems.

Huaihe River basin and Haihe River basin  /  habitat quality  /  landscape pattern  /  InVEST model  /  spatial correlation analysis
王双, 武文杰, 周生辉, 赵晓, 史培军. 淮河海河流域生境质量与景观格局的耦合关系及驱动因素. 水土保持学报, 2026 , 40 (4) : 262 -275 . DOI: 10.13870/j.cnki.stbcxb.2026.04.005
Shuang Wang, Wenjie Wu, Shenghui Zhou, Xiao Zhao, Peijun Shi. Coupling Relationship and Driving Factors of Habitat Quality and Landscape Pattern in Huaihe River Basin and Haihe River Basin[J]. Journal of Soil and Water Conservation, 2026 , 40 (4) : 262 -275 . DOI: 10.13870/j.cnki.stbcxb.2026.04.005
Year 2026 volume 40 Issue 4
181
90
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Article Info
doi: 10.13870/j.cnki.stbcxb.2026.04.005
  • Receive Date:2025-11-12
  • Online Date:2026-09-30
  • Published:2026-08-28
Article Data
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History
  • Received:2025-11-12
  • Revised:2026-01-15
  • Accepted:2026-02-28
Funding
Affiliations
    1.Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China
    2.Department of Geography,Faculty of Arts and Sciences,Beijing Normal University,Zhuhai 519087,Guangdong,China
    3.College of;Geographical Science,Faculty of Geographical Science and Engineering,Henan University,Zhengzhou 450046,China
    4.College of Environment and Climate,Jinan University,Guangzhou 511443,China
    5.State Key Laboratory of;Earth Surface Processes and Disaster Risk Reduction,Beijing Normal University,Beijing 100875,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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