Prediction of breeding regions for the desert locust Schistocerca gregaria in East Africa

被引:76
作者
Kimathi, Emily [1 ]
Tonnang, Henri E. Z. [1 ]
Subramanian, Sevgan [1 ]
Cressman, Keith [4 ]
Abdel-Rahman, Elfatih M. [1 ]
Tesfayohannes, Mehari [2 ]
Niassy, Saliou [1 ]
Torto, Baldwyn [1 ]
Dubois, Thomas [1 ]
Tanga, Chrysantus M. [1 ]
Kassie, Menale [1 ]
Ekesi, Sunday [1 ]
Mwangi, David [3 ]
Kelemu, Segenet [1 ]
机构
[1] Int Ctr Insect Physiol & Ecol ICIPE, POB 30772-00100, Nairobi, Kenya
[2] Desert Locust Control Org Eastern Africa, POB 30023-00100, Nairobi, Kenya
[3] Minist Agr Livestock & Fisheries, Plant Protect Serv, POB 34188-00100, Nairobi, Kenya
[4] Food & Agr Org, Viale Terme Caracalla, I-00153 Rome, Italy
关键词
SPECIES DISTRIBUTIONS; MODELS;
D O I
10.1038/s41598-020-68895-2
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Desert locust outbreak in East Africa is threatening livelihoods, food security, environment, and economic development in the region. The current magnitude of the desert locust invasion in East Africa is unprecedented and has not been witnessed for more than 70 years. Identifying the potential breeding sites of the pest is essential to carry out cost-effective and timely preventive measures before it inflicts significant damage. We accessed 9,134 desert locust occurrence records and applied a machine-learning algorithm to predict potential desert locust breeding sites in East Africa using key bio-climatic (temperature and rainfall) and edaphic (sand and moisture contents) factors. Ten days greenness maps from February 2020 to April 2020 were overlaid in model outputs to illustrate the temporal evolution of breeding site locations. This study demonstrated that vast areas of Kenya and Sudan, north eastern regions of Uganda, and south eastern and northern regions of South Sudan are at high risk of providing a conducive breeding environment for the desert locust. Our prediction results suggest that there is need to target these high-risk areas and strengthen ground surveillance to manage the pest in a timely, cost-effective, and environmentally friendly manner.
引用
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页数:10
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