Back to Search
Start Over
Prediction of breeding regions for the desert locust Schistocerca gregaria in East Africa
- Source :
- Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020), Scientific Reports
- Publication Year :
- 2020
- Publisher :
- Nature Publishing Group, 2020.
-
Abstract
- 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.
- Subjects :
- 0106 biological sciences
Multidisciplinary
Food security
010504 meteorology & atmospheric sciences
biology
Ecology
Agroforestry
lcsh:R
Outbreak
lcsh:Medicine
Edaphic
biology.organism_classification
Livelihood
01 natural sciences
Article
Environmental sciences
Geography
East africa
Schistocerca
lcsh:Q
PEST analysis
Desert locust
lcsh:Science
010606 plant biology & botany
0105 earth and related environmental sciences
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 10
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....8309458fd750aec67b8b8971aa0de398
- Full Text :
- https://doi.org/10.1038/s41598-020-68895-2