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Science & Technology Review  2022, Vol. 40 Issue (7): 94-99    DOI: 10.3981/j.issn.1000-7857.2022.07.010
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Estimating global environmental suitability distribution of Moringa oleifera Lam. using data-driven model
FAN Peiwei1, HAO Mengmeng1,2, DING Fangyu1,2, WANG Qian1,2, DONG donglin3, MA Zhimin4, QIAN Jun4, LI Xinhua4, CHEN Jing4, WAN Wenhong4, ZHAO Yan4, ZHANG Xiaobo5
1. Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;
3. Department of Geological Engineering and Environment, China University of Mining and Technology(Beijing), Beijing 100083, China;
4. Information Center of Jiangxi Province, Nanchang 330036, China;
5. State Key Laboratory Breeding Base of Dao-di Herbs, National Resource Center for Chinese Materia Medical, China Academy of Chinese Medical Sciences, Beijing 100700, China

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