Prediction of the spatial distribution of Alternanthera philoxeroides in China based on ArcGIS and MaxEnt
文献类型:期刊论文
作者 | Yan, Huyong2,3; Feng, Lei1,4![]() ![]() |
刊名 | GLOBAL ECOLOGY AND CONSERVATION
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出版日期 | 2020-03-01 |
卷号 | 21页码:15 |
关键词 | Alternanthera philoxeroides MaxEnt Invasion Spatial region distribution |
ISSN号 | 2351-9894 |
DOI | 10.1016/j.gecco.2019.e00856 |
通讯作者 | Feng, Li(17495028@qq.com) |
英文摘要 | As an invasive alien species, Alternanthera philoxeroides has spread rapidly in China since its invasion, which has caused serious harm to the ecological environment and substantial economic losses. To better manage this invasive plant, we analysed the spatial and temporal distribution patterns and predicted the suitable areas for this species in China using the MaxEnt model and ArcGIS. The results showed that the suitable area for A. philoxeroides in the current climatic conditions was 91.8-122.7 degrees E,18.2-39.8 degrees N, which was mainly located in the tropical, subtropical and southeastern warm temperate regions of China. The high suitability region is mainly located in the provinces of Guangxi, Shanghai, Jiangsu, Chongqing and Sichuan. The total areas with low, medium, and high suitability are 90.13 x 10(4)km(2), 99.78 x 10(4)km(2), and 23.33 x 10(4)km(2), respectively. All of these suitable regions cover a total of 213.24 x 10(4)km(2), accounting for 22.2% of China's land area. A. philoxeroides has a tendency to continue to invade. Precipitation and temperature are the primary variables shaping the distribution of A. philoxeroides. This species prefers a warm, stable and rainy climate. Measures should be taken to prevent it from spreading to these high suitability regions. Moreover, biological and ecological prevention and control technologies are necessary to block its spread, invasion, colonization and damage, especially in the potentially suitable regions with suitable climates. (C) 2019 Published by Elsevier B.V. |
资助项目 | Water Treatment and Ecological Restoration of Black-odor River of Science and Technology Commission Foundation of Chongqing Treatment[cstc2018jscx-mszdX0087] ; National Natural Science Foundation of China[61702475] ; Natural Science Foundation of Chongqing (China)[cstc2019jcyj-msxmX0578] ; Youth Fund of Chongqing Technology and Business University[1952033] ; Science and Technology Research Program of Chongqing Municipal Education Commission[KJ1600627] ; Science and Technology Research Program of Chongqing Municipal Education Commission[KJQN201900839] ; Chongqing Social Science Planning Project[2017YBGL142] ; Chongqing Educational Science Planning Project[2018-GX-023] ; Opening Research Platform of Chongqing Technology and Business University[KFJJ2017048] ; Opening Research Platform of Chongqing Technology and Business University[KFJJ2018058] |
WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000517814100053 |
出版者 | ELSEVIER |
源URL | [http://119.78.100.138/handle/2HOD01W0/10515] ![]() |
专题 | 中国科学院重庆绿色智能技术研究院 |
通讯作者 | Feng, Li |
作者单位 | 1.Chongqing Univ, Coll Environm & Ecol, Chongqing 400044, Peoples R China 2.Chongqing Technol & Business Univ, Chongqing Engn Lab Detect Control & Integrated Sy, Chongqing 400067, Peoples R China 3.Chongqing Technol & Business Univ, Sch Comp Sci & Informat Engn, Chongqing 400067, Peoples R China 4.Chinese Acad Sci, Online Monitoring Ctr Ecol & Environm Three Gorge, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China 5.Urban Management Bur, Chongqing 401120, Peoples R China 6.Pk Management Ctr, Chongqing 401120, Peoples R China 7.Chongqing Acad Ecol & Environm Sci, Chongqing Collaborat Innovat Ctr Big Data Applica, Chongqing 401147, Peoples R China 8.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China |
推荐引用方式 GB/T 7714 | Yan, Huyong,Feng, Lei,Zhao, Yufei,et al. Prediction of the spatial distribution of Alternanthera philoxeroides in China based on ArcGIS and MaxEnt[J]. GLOBAL ECOLOGY AND CONSERVATION,2020,21:15. |
APA | Yan, Huyong,Feng, Lei,Zhao, Yufei,Feng, Li,Wu, Di,&Zhu, Chaoping.(2020).Prediction of the spatial distribution of Alternanthera philoxeroides in China based on ArcGIS and MaxEnt.GLOBAL ECOLOGY AND CONSERVATION,21,15. |
MLA | Yan, Huyong,et al."Prediction of the spatial distribution of Alternanthera philoxeroides in China based on ArcGIS and MaxEnt".GLOBAL ECOLOGY AND CONSERVATION 21(2020):15. |
入库方式: OAI收割
来源:重庆绿色智能技术研究院
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