Assessing the Suitability of the Epic Crop Model for Use in the Study of Impacts of Climate Variability and Climate Change in West Africa
Bibliographic Data
| ID | 20153932 |
|---|---|
| Authors | James Adejuwon, James O Adejuwon (Obafemi Awolowo University, corresponding author) |
| Year | 2005 |
| Volume | 26 |
| Issue | 1 |
| Pages | 44-60 |
| Publication date | 2005-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Singapore Journal of Tropical Geography (JOURNAL) |
| Journal identifiers | ISSN: 0129-7619 • E-ISSN: 1467-9493 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.0129-7619.2005.00203.x |
| OpenAlex | W2039765410 |
| Language | EN |
| Citations received | 1 |
| References cited | 4 |
The EPIC (Erosion Productivity Impact Calculator) crop model, developed by scientists of the United States Department of Agriculture (USDA), has been successfully applied to the study of erosion, water pollution, crop growth and production in the US but is yet to be introduced for serious research purposes in other countries or regions. This paper reports on the applicability of the EPIC 8120 crop model for the assessment of the potential impacts of climate variability and climate change on crop productivity in sub-Saharan West Africa, using Nigeria as the case study. Among the crops whose productivity has been successfully simulated with this model are five of West Africa's staple food crops: maize, millet, sorghum (guinea corn), rice and cassava. Thus, using the model, the sensitivities of maize, sorghum and millet to seasonal rainfall were demonstrated with coefficients of correlation significant at over 98 per cent confidence limits. The validation tests were based on a comparison of the observed and the model-generated yields of rice and maize. The main problems of validation relate to the multiplicity of crop varieties with contrasting performances under similar field conditions. There are also the difficulties in representing micro-environments in the model. Thus, some gaps appear between the observed and the simulated yields, arising from data or model deficiencies, or both. Based on the results of the sensitivity and validation tests, the EPIC crop model could be satisfactorily employed in assessing the impacts of and adaptations to climate variability and climate change. Its use for the estimation of production and the assessment of vulnerabilities need to be pursued with further field surveys and field experimentation
Agricultural productivity · Agriculture · Agroforestry · Agronomy · Biology · Climate change · Climate model · Crop · Crop simulation model · Crop yield · EPIC · Geography · Productivity · Sorghum · Climate change impacts on agriculture · Ecology · Environmental Science · Forestry · Plant responses to elevated CO2 · Plant Water Relations and Carbon Dynamics
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,25 |
| Citation span | 2022 - 2022 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |