Description
In the recent past, the Horn of Africa witnessed an upsurge in the desert locust (Schistocerca gregaria) invasion. This has raised major concerns over the massive food insecurity, socioeconomic impacts, and livelihood losses caused by these recurring invasions.
Data Records
The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 2,409 records.
This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.
Versions
The table below shows only published versions of the resource that are publicly accessible.
How to cite
Researchers should cite this work as follows:
Abdel-Rahman, E.M., Kimathi, E., Mudereri, B. T., Tonnang, H.E.Z., Mongare, R., Niassy, S. and Subramanian, S. 2023. Computational biogeographic distribution of the fall armyworm (Spodoptera frugiperda J.E. Smith) moth in eastern Africa. Heliyon.
Rights
Researchers should respect the following rights statement:
The publisher and rights holder of this work is International Centre for Insect Physiology and Ecology. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF Registration
This resource has been registered with GBIF, and assigned the following GBIF UUID: 03d3b0b3-1454-496b-98aa-7e05dd629da3. International Centre for Insect Physiology and Ecology publishes this resource, and is itself registered in GBIF as a data publisher endorsed by International Centre for Insect Physiology and Ecology.
Keywords
Checklist; fall armyworm; IPM
Contacts
Geographic Coverage
Eats Africa
| Bounding Coordinates | South West [-5.616, 14.063], North East [28.304, 53.438] |
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Taxonomic Coverage
Spodoptera frugiperda
| Species | Spodoptera frugiperda (Fall armyworm) |
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Project Data
No Description available
| Title | Fall armyworm integrated pest management |
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Sampling Methods
The explanatory variables were used as inputs into a variable selection experiment to select the least correlated ones that were then used to predict FAW establishment, i.e., suitability areas (very low suitability – very high suitability). The shared socio-economic pathways, SSP2-4.5 and SSP5-8.5 for the years 2030 and 2050 were used to predict the effect of future climate scenarios on FAW establishment.
| Study Extent | In this study, we predicted the spatial distribution (established habitat) of FAW in five east African countries viz., Kenya, Tanzania, Rwanda, Uganda, and Ethiopia. We used FAW occurrence observations for three years i.e., 2018, 2019, and 2020, the maximum entropy (MaxEnt) model, and bioclimatic, land surface temperature (LST), solar radiation, wind speed, elevation, and landscape structure data (i.e., land use and land cover and maize harvested area) as explanatory variables. |
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Method step description:
- The explanatory variables were used as inputs into a variable selection experiment to select the least correlated ones that were then used to predict FAW establishment, i.e., suitability areas (very low suitability – very high suitability). The shared socio-economic pathways, SSP2-4.5 and SSP5-8.5 for the years 2030 and 2050 were used to predict the effect of future climate scenarios on FAW establishment.
Bibliographic Citations
- Abdel-Rahman, E.M., Kimathi, E., Mudereri, B. T., Tonnang, H.E.Z., Mongare, R., Niassy, S. and Subramanian, S. 2023. Computational biogeographic distribution of the fall armyworm (Spodoptera frugiperda J.E. Smith) moth in eastern Africa. Heliyon
Additional Metadata
| Alternative Identifiers | 10.60798/uwzigf |
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| 03d3b0b3-1454-496b-98aa-7e05dd629da3 | |
| https://cloud.gbif.org/icipe/resource?r=fall_armyworm_ipm |