Science & Technology Review
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2022, 40(7): 94-99
• Papers •
Estimating global environmental suitability distribution of Moringa oleifera Lam. using data-driven model
Full
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
Affiliations
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
Published: 2022-04-13
doi: 10.3981/j.issn.1000-7857.2022.07.010
Outline
As a new Chinese medicine resource, Moringa oleifera Lam. is widely used in botanical medicine. To avoid economic losses caused by blind expanded introduction and cultivation it is urgent to evaluate the spatial distribution of land resources suitable for Moringa oleifera Lam. In this study, 960 global distribution records of Moringa oleifera Lam. are collected to assess the spatial distribution of global environmental suitability of Moringa oleifera Lam. by using spatial information technology and a data-driven model of spatial co-variables of climate, soil, topography and solar radiation. The results show that the land resources suitable for the cultivation of Moringa oleifera Lam. are about 3615.96 million hm2 in the world, which are mainly distributed in Southern North America, Eastern and Northern South America, Central Africa, Southeast Asia and Northern Oceania. This study provides a solid foundation for the cultivation partition and promotion program of Moringa oleifera Lam. and helps to alleviate the over-mining of moringa and solve the contradiction between supply and demand of Moringa oleifera Lam.
Moringa oleifera Lam.
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spatial covariates
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spatial information technology
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data-driven model
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environmental suitability
FAN Peiwei, HAO Mengmeng, DING Fangyu, WANG Qian, DONG donglin, MA Zhimin, QIAN Jun, LI Xinhua, CHEN Jing, WAN Wenhong, ZHAO Yan, ZHANG Xiaobo.
Estimating global environmental suitability distribution of Moringa oleifera Lam. using data-driven model[J].
Science & Technology Review,
2022
, 40
(7)
: 94
-99
.
DOI: 10.3981/j.issn.1000-7857.2022.07.010
Year 2022 volume 40 Issue 7
PDF
459
69
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2022.07.010
- Receive Date:2020-12-24
- Online Date:2022-06-10
- Published:2022-04-13