Evaluating the Relationships between Riparian Land Cover Characteristics and Biological Integrity of Streams Using Random Forest Algorithms
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- Se-Rin Park & Sang-Woo Lee, 2020. "Spatially Varying and Scale-Dependent Relationships of Land Use Types with Stream Water Quality," IJERPH, MDPI, vol. 17(5), pages 1-22, March.
- Yirigui Yirigui & Sang-Woo Lee & A. Pouyan Nejadhashemi & Matthew R. Herman & Jong-Won Lee, 2019. "Relationships between Riparian Forest Fragmentation and Biological Indicators of Streams," Sustainability, MDPI, vol. 11(10), pages 1-24, May.
- Yirigui Yirigui & Sang-Woo Lee & A. Pouyan Nejadhashemi, 2019. "Multi-Scale Assessment of Relationships between Fragmentation of Riparian Forests and Biological Conditions in Streams," Sustainability, MDPI, vol. 11(18), pages 1-24, September.
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- Zahra Allahdad & Saeed Malmasi & Morvarid Montazeralzohour & Seyed Mohammad Moein Sadeghi & Mohammad M. Khabbazan, 2022. "Presenting the Spatio-Temporal Model for Predicting and Determining Permissible Land Use Changes Based on Drinking Water Quality Standards: A Case Study of Northern Iran," Resources, MDPI, vol. 11(11), pages 1-14, November.
- Tan Huizhi & Lu Xiaoning & Yang Shiqi & Wang Yongqian & Li Feng & Liu Jinbao & Chen Jun & Huang Yue, 2022. "Drought risk assessment in the coupled spatial–temporal dimension of the Sichuan Basin, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 3205-3233, December.
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Keywords
riparian land cover; spatial pattern; biological indicator; random forest; threshold analysis; South Korea;All these keywords.
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