Biophysical and socioeconomic determinants of tea expansion: Apportioning their relative importance for sustainable land use policy
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DOI: 10.1016/j.landusepol.2017.08.008
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- Ge, Dazhuan & Long, Hualou & Zhang, Yingnan & Ma, Li & Li, Tingting, 2018. "Farmland transition and its influences on grain production in China," Land Use Policy, Elsevier, vol. 70(C), pages 94-105.
- Shuai Li & Zhongyun Ni & Yinbing Zhao & Wei Hu & Zhenrui Long & Haiyu Ma & Guoli Zhou & Yuhao Luo & Chuntao Geng, 2022. "Susceptibility Analysis of Geohazards in the Longmen Mountain Region after the Wenchuan Earthquake," IJERPH, MDPI, vol. 19(6), pages 1-30, March.
- Su, Yue & Qian, Kui & Lin, Lin & Wang, Ke & Guan, Tao & Gan, Muye, 2020. "Identifying the driving forces of non-grain production expansion in rural China and its implications for policies on cultivated land protection," Land Use Policy, Elsevier, vol. 92(C).
- Allen H. Hu & Chia-Hsiang Chen & Lance Hongwei Huang & Ming-Hsiu Chung & Yi-Chen Lan & Zhonghua Chen, 2019. "Environmental Impact and Carbon Footprint Assessment of Taiwanese Agricultural Products: A Case Study on Taiwanese Dongshan Tea," Energies, MDPI, vol. 12(1), pages 1-13, January.
- Shuai Li & Haiyu Ma & Di Yang & Wei Hu & Hao Li, 2023. "The Main Drivers of Wetland Evolution in the Beijing-Tianjin-Hebei Plain," Land, MDPI, vol. 12(2), pages 1-25, February.
- Hu, Lirong & He, Shenjing & Han, Zixuan & Xiao, He & Su, Shiliang & Weng, Min & Cai, Zhongliang, 2019. "Monitoring housing rental prices based on social media:An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies," Land Use Policy, Elsevier, vol. 82(C), pages 657-673.
- Yi Liu & Zhongyun Ni & Yinbing Zhao & Guoli Zhou & Yuhao Luo & Shuai Li & Dong Wang & Shaowen Zhang, 2022. "Spatial-Temporal Evolution and Driving Forces of Drying Trends on the Qinghai-Tibet Plateau Based on Geomorphological Division," IJERPH, MDPI, vol. 19(13), pages 1-31, June.
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Keywords
Land use and cover change; Tea; Spatial determinants; Drivers; Multilevel analysis; Sustainability; Random forest regression;All these keywords.
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