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Novel Method for Evaluating Wetland Ecological Environment Quality Based on Coupled Remote Sensing Ecological Index and Landscape Pattern Indices: Case Study of Dianchi Lake Wetlands, China

Author

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  • Yilu Zhao

    (Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang’an University, Xi’an 710054, China
    School of Water and Environment, Chang’an University, Xi’an 710054, China)

  • Aidi Huo

    (Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang’an University, Xi’an 710054, China
    School of Water and Environment, Chang’an University, Xi’an 710054, China
    Key Laboratory of Mine Geological Hazards Mechanism and Control, Ministry of Natural Resources, Xi’an 710054, China
    Xi’an Monitoring, Modelling and Early Warning of Watershed Spatial Hydrology International Science and Technology Cooperation Base, Chang’an University, Xi’an 710054, China)

  • Zhixin Zhao

    (Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang’an University, Xi’an 710054, China
    School of Water and Environment, Chang’an University, Xi’an 710054, China
    Key Laboratory of Mine Geological Hazards Mechanism and Control, Ministry of Natural Resources, Xi’an 710054, China)

  • Qi Liu

    (Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang’an University, Xi’an 710054, China
    School of Water and Environment, Chang’an University, Xi’an 710054, China
    Key Laboratory of Mine Geological Hazards Mechanism and Control, Ministry of Natural Resources, Xi’an 710054, China)

  • Xuantao Zhao

    (Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang’an University, Xi’an 710054, China
    School of Water and Environment, Chang’an University, Xi’an 710054, China
    Key Laboratory of Mine Geological Hazards Mechanism and Control, Ministry of Natural Resources, Xi’an 710054, China)

  • Yuanjia Huang

    (Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang’an University, Xi’an 710054, China
    School of Water and Environment, Chang’an University, Xi’an 710054, China)

  • Jialu An

    (Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region of the Ministry of Education, Chang’an University, Xi’an 710054, China
    School of Water and Environment, Chang’an University, Xi’an 710054, China)

Abstract

Wetlands serve as crucial ecological buffers, significantly influencing temperature reduction, carbon storage, regional climate regulation, and urban wastewater treatment. To elucidate the relationship between wetland landscape patterns and ecological environment, and to accurately assess lake ecosystems, this study proposes a semi-supervised classification method based on RSEI and K-Means. By integrating landscape pattern indices, the Remote Sensing Ecological Index (RSEI), and disturbance proximity, a comprehensive evaluation of the ecological quality of the Dianchi wetlands was conducted. The results indicate that the RSEI-K-Means method, with K set to 50, achieved overall accuracies (OAs) and Kappa values of 0.91 and 0.88, surpassing the SVM’s 0.85 and 0.80. This method effectively combines ecological and landscape indices without relying on extensive training samples, enhancing accuracy and speed in wetland information extraction and addressing the challenges of spatial heterogeneity. This study reveals that from 2007 to 2009, and 2013 to 2015, landscape patterns were significantly influenced by the rapid expansion of Kunming city, exacerbating wetland fragmentation. Notably, significant ecological quality changes were observed in 2009 and 2013, with gradual recovery post-2013 due to strengthened environmental protection policies. The RSEI disturbance proximity analysis indicated that the affected areas were primarily concentrated in regions of high human activity, confirming the method’s high sensitivity and effectiveness. This study can help in wetland ecosystem research and management.

Suggested Citation

  • Yilu Zhao & Aidi Huo & Zhixin Zhao & Qi Liu & Xuantao Zhao & Yuanjia Huang & Jialu An, 2024. "Novel Method for Evaluating Wetland Ecological Environment Quality Based on Coupled Remote Sensing Ecological Index and Landscape Pattern Indices: Case Study of Dianchi Lake Wetlands, China," Sustainability, MDPI, vol. 16(22), pages 1-18, November.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:22:p:9979-:d:1521883
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    References listed on IDEAS

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    1. Zhixin Zhao & Aidi Huo & Qi Liu & Jianbing Peng & Ahmed Elbeltagi & Mohamed EL-Sayed Abuarab & Mohamed Said Desouky Abu-Hashim, 2023. "Spatiotemporal Variation in the Coupling Relationship between Human Activities and Soil Erosion—A Case Study in the Weihe River Basin," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    2. Nicholas J. Murray & Stuart R. Phinn & Michael DeWitt & Renata Ferrari & Renee Johnston & Mitchell B. Lyons & Nicholas Clinton & David Thau & Richard A. Fuller, 2019. "The global distribution and trajectory of tidal flats," Nature, Nature, vol. 565(7738), pages 222-225, January.
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