Driving Forces in Archetypical Land-Use Changes in a Mountainous Watershed in East Asia
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- Hoang, Viet-Ngu & Nguyen, Trung Thanh, 2013. "Analysis of environmental efficiency variations: A nutrient balance approach," Ecological Economics, Elsevier, vol. 86(C), pages 37-46.
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- Dietz, Julia & Treydte, Anna Christina & Lippe, Melvin, 2023. "Exploring the future of Kafue National Park, Zambia: Scenario-based land use and land cover modelling to understand drivers and impacts of deforestation," Land Use Policy, Elsevier, vol. 126(C).
- Omaid Najmuddin & Xiangzheng Deng & Ruchira Bhattacharya, 2018. "The Dynamics of Land Use/Cover and the Statistical Assessment of Cropland Change Drivers in the Kabul River Basin, Afghanistan," Sustainability, MDPI, vol. 10(2), pages 1-18, February.
- Wenjie Wang & Chuanrong Zhang & Jenica M. Allen & Weidong Li & Mark A. Boyer & Kathleen Segerson & John A. Silander, 2016. "Analysis and Prediction of Land Use Changes Related to Invasive Species and Major Driving Forces in the State of Connecticut," Land, MDPI, vol. 5(3), pages 1-22, July.
- Druga, Michal & Minár, Jozef, 2023. "Cost distance and potential accessibility as alternative spatial approximators of human influence in LUCC modelling," Land Use Policy, Elsevier, vol. 132(C).
- Tahmineh Ladi & Shaghayegh Jabalameli & Ayyoob Sharifi, 2022. "Applications of machine learning and deep learning methods for climate change mitigation and adaptation," Environment and Planning B, , vol. 49(4), pages 1314-1330, May.
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Keywords
land-use change; driving factors; So-yang River Basin; multinomial logistic regression; heterogeneity; neighborhood effect;All these keywords.
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