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基于数据驱动模型的辣木全球环境适宜性分布评估
引用本文:范沛薇,郝蒙蒙,丁方宇,王倩,董东林,马志民,钱军,李新华,陈静,万文宏,赵艳,张小波. 基于数据驱动模型的辣木全球环境适宜性分布评估[J]. 科技导报(北京), 2022, 40(7): 94-99. DOI: 10.3981/j.issn.1000-7857.2022.07.010
作者姓名:范沛薇  郝蒙蒙  丁方宇  王倩  董东林  马志民  钱军  李新华  陈静  万文宏  赵艳  张小波
作者单位:中国科学院地理科学与资源研究所资源利用与环境修复重点实验室,北京100101;中国科学院地理科学与资源研究所资源利用与环境修复重点实验室,北京100101;中国科学院大学资源与环境学院,北京100049;中国矿业大学(北京)地球科学与测绘工程学院,北京100083;江西省信息中心,南昌330036;中国中医科学院中药资源中心,道地药材国家重点实验室培育基地,北京100700
基金项目:云南省科技计划项目(2017ZF004);;国家重点研发计划项目(2017YFC1700701,2017YFC1701603);
摘    要: 辣木作为新中药资源,被广泛应用于植物医药。收集了全球960条辣木分布记录,结合气候、土壤、地形和太阳辐射空间协变量,采用空间信息技术与数据驱动模型,评估了辣木全球环境适宜性空间分布状况。结果表明,全球适宜种植辣木的土地资源总量约为3.61×109hm2,主要分布在北美洲南部、南美洲东部和北部、非洲中部、亚洲的东南部及大洋洲北部地区。

关 键 词:辣木  空间协变量  空间信息技术  数据驱动模型  环境适宜性
收稿时间:2020-12-24

Estimating global environmental suitability distribution of Moringa oleifera Lam. using data-driven model
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
Authors:FAN Peiwei  HAO Mengmeng  DING Fangyu  WANG Qian  DONG donglin  MA Zhimin  QIAN Jun  LI Xinhua  CHEN Jing  WAN Wenhong  ZHAO Yan  ZHANG Xiaobo
Abstract: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.
Keywords:Moringa oleifera Lam.  spatial covariates  spatial information technology  data-driven model  environmental suitability  
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