Arid
DOI10.3390/rs12213593
Geographic Distribution of Desert Locusts in Africa, Asia and Europe Using Multiple Sources of Remote-Sensing Data
Chen, Chaoliang; Qian, Jing; Chen, Xi; Hu, Zengyun; Sun, Jiayu; Wei, Shujie; Xu, Kaibin
通讯作者Qian, J
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2020
卷号12期号:21
英文摘要In history, every occurrence of a desert locust plague has brought a devastating blow to local agriculture. Analyses of the potential geographic distribution and migration paths of desert locusts can be used to better monitor and provide early warnings about desert locust outbreaks. By using environmental data from multiple remote-sensing data sources, we simulate the potential habitats of desert locusts in Africa, Asia and Europe in this study using a logistic regression model that was developed based on desert locust monitoring records. The logistic regression model showed high accuracy, with an average training area under the curve (AUC) value of 0.84 and a kappa coefficient of 0.75. Our analysis indicated that the temperature and leaf area index (LAI) play important roles in shaping the spatial distribution of desert locusts. A model analysis based on data for six environmental variables over the past 15 years predicted that the potential habitats of desert locust present a periodic movement pattern between 40 degrees N and 30 degrees S latitude. The area of the potential desert locust habitat reached a maximum in July, with a suitable area exceeding 2.77 x 10(7) km(2) and located entirely between 0 degrees N and 40 degrees N in Asia-Europe and Africa. In December, the potential distribution of desert locusts reached its minimum area at 0.68 x 10(7) km(2) and was located between 30 degrees N and 30 degrees S in Asia and Africa. According to the model estimates, desert locust-prone areas are distributed in northern Ethiopia, South Sudan, northwestern Kenya, the southern Arabian Peninsula, the border area between India and Pakistan, and the southern Indian Peninsula. In addition, desert locusts were predicted to migrate from east to west between these areas and in Africa between 10 degrees N and 17 degrees N. Countries in these areas should closely monitor desert locust populations and respond rapidly.
英文关键词potential geographic distribution logistic regression model desert locust migration path analysis
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000589304600001
WOS关键词SCHISTOCERCA-GREGARIA ; ECOLOGICAL CONDITIONS ; EARTH OBSERVATION ; CLIMATE-CHANGE ; SOIL-MOISTURE ; TEMPERATURE ; PLAGUE ; UPSURGE ; MAXENT
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构中国科学院新疆生态与地理研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/327505
作者单位[Chen, Chaoliang; Qian, Jing; Chen, Xi; Hu, Zengyun] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China; [Chen, Chaoliang; Chen, Xi; Hu, Zengyun] Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China; [Chen, Chaoliang; Qian, Jing; Hu, Zengyun; Sun, Jiayu; Wei, Shujie; Xu, Kaibin] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China; [Chen, Chaoliang; Qian, Jing; Chen, Xi] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Qian, Jing] Key Lab GIS & RS Applicat Xinjiang Uygur Autonomo, Urumqi 830011, Peoples R China
推荐引用方式
GB/T 7714
Chen, Chaoliang,Qian, Jing,Chen, Xi,et al. Geographic Distribution of Desert Locusts in Africa, Asia and Europe Using Multiple Sources of Remote-Sensing Data[J]. 中国科学院新疆生态与地理研究所,2020,12(21).
APA Chen, Chaoliang.,Qian, Jing.,Chen, Xi.,Hu, Zengyun.,Sun, Jiayu.,...&Xu, Kaibin.(2020).Geographic Distribution of Desert Locusts in Africa, Asia and Europe Using Multiple Sources of Remote-Sensing Data.REMOTE SENSING,12(21).
MLA Chen, Chaoliang,et al."Geographic Distribution of Desert Locusts in Africa, Asia and Europe Using Multiple Sources of Remote-Sensing Data".REMOTE SENSING 12.21(2020).
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