說明
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.
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版本
以下的表格只顯示可公開存取資源的已發布版本。
如何引用
研究者應依照以下指示引用此資源。:
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.
權利
研究者應尊重以下權利聲明。:
此資料的發布者及權利單位為 International Centre for Insect Physiology and Ecology。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF 註冊
此資源已向GBIF註冊，並指定以下之GBIF UUID: 03d3b0b3-1454-496b-98aa-7e05dd629da3。 International Centre for Insect Physiology and Ecology 發佈此資源，並經由International Centre for Insect Physiology and Ecology同意向GBIF註冊成為資料發佈者。
關鍵字
Checklist; fall armyworm; IPM
聯絡資訊
地理涵蓋範圍
Eats Africa
| 界定座標範圍 | 緯度南界 經度西界 [-5.616, 14.063], 緯度北界 經度東界 [28.304, 53.438] |
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分類群涵蓋範圍
Spodoptera frugiperda
| Species | Spodoptera frugiperda (Fall armyworm) |
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計畫資料
無相關描述
| 計畫名稱 | Fall armyworm integrated pest management |
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取樣方法
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.
| 研究範圍 | 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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方法步驟描述:
- 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.
引用文獻
- 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
額外的詮釋資料
| 替代的識別碼 | 10.60798/uwzigf |
|---|---|
| 03d3b0b3-1454-496b-98aa-7e05dd629da3 | |
| https://cloud.gbif.org/icipe/resource?r=fall_armyworm_ipm |