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Assessing climate adaptation options and uncertainties for cereal systems in West Africa
- Source :
- Agricultural and Forest Meteorology, Agricultural and Forest Meteorology, Elsevier Masson, 2017, 232, pp.291-305. ⟨10.1016/j.agrformet.2016.07.021⟩, Agricultural and Forest Meteorology, 2017, 232, pp.291-305. ⟨10.1016/j.agrformet.2016.07.021⟩
- Publication Year :
- 2017
- Publisher :
- HAL CCSD, 2017.
-
Abstract
- In the coming decades, the already fragile agricultural system in West Africa will face further challenges in meeting food security, both from increasing population and from the impacts of climate change. Optimal prioritization of adaptation investments requires the assessment of various possible adaptation options and their uncertainties; successful adaptations of agriculture to climate change should not only help farmers deal with current climate risks, but also reduce negative (or enhance positive) impacts associated with climate change using robust climate projections. Here, we use two well-validated crop models (APSIM v7.5 and SARRA-H v3.2) and an ensemble of downscaled climate forcing from the CMIP5 models to assess five possible and realistic adaptation options for the production of the staple crop sorghum (Sorghum bicolor Moench.): (i) late sowing, (ii) intensification of seeding density and fertilizer use, (iii) increasing cultivars’ thermal time requirement, (iv) water harvesting, and (v) increasing resilience to heat stress during the flowering period. We adopt a new assessment framework to account for both the impacts of proposed adaptation options in the historical climate and their ability to reduce the impacts of future climate change, and we also consider changes in both mean yield and inter-annual yield variability. We target the future period of 2031–2060 for the “business-as-usual” scenario (RCP8.5), and compare with the historical period of 1961–1990. Our results reveal that most proposed “adaptation options” are not more beneficial in the future than in the historical climate (−12% to +4% in mean yield), so that they do not really reduce the climate change impacts. Increased temperature resilience during the grain number formation period is the main adaptation that emerges (+4.5%). Intensification of fertilizer inputs can dramatically benefit yields in the historical/current climate (+50%), but does not reduce negative climate change impacts except in scenarios with substantial rainfall increases. Water harvesting contributes to a small benefit in the current climate (+1.5% to +4.0%) but has little additional benefit under climate change. Our analysis of uncertainties arising from crop model differences (conditioned on the used model versions) and various climate model projections provide insights on how to further constrain uncertainties for assessing future climate adaptation options.
- Subjects :
- Atmospheric Science
010504 meteorology & atmospheric sciences
Natural resource economics
adaptation aux changements climatiques
01 natural sciences
Analyse de système
F01 - Culture des plantes
Floraison
Climate change
Crop model
ComputingMilieux_MISCELLANEOUS
media_common
F07 - Façons culturales
2. Zero hunger
F63 - Physiologie végétale - Reproduction
Global and Planetary Change
education.field_of_study
Food security
U10 - Informatique, mathématiques et statistiques
Ecology
Agriculture
Forestry
04 agricultural and veterinary sciences
Sorghum bicolor
Pratique culturale
Rendement des cultures
Psychological resilience
Modèle
P40 - Météorologie et climatologie
Stress dû à la sécheresse
Yield (finance)
media_common.quotation_subject
Gestion du risque
Population
Évaluation du risque
[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]
Densité de semis
Fertilisation
West Africa
Variété
Adaptation
education
0105 earth and related environmental sciences
Changement climatique
Plante céréalière
Modélisation des cultures
business.industry
Modèle de simulation
15. Life on land
Radiative forcing
Température
13. Climate action
040103 agronomy & agriculture
0401 agriculture, forestry, and fisheries
Environmental science
Climate model
business
Agronomy and Crop Science
F04 - Fertilisation
Subjects
Details
- Language :
- English
- ISSN :
- 01681923
- Database :
- OpenAIRE
- Journal :
- Agricultural and Forest Meteorology, Agricultural and Forest Meteorology, Elsevier Masson, 2017, 232, pp.291-305. ⟨10.1016/j.agrformet.2016.07.021⟩, Agricultural and Forest Meteorology, 2017, 232, pp.291-305. ⟨10.1016/j.agrformet.2016.07.021⟩
- Accession number :
- edsair.doi.dedup.....47b3151be0d5d37eeeb29b4b153e15f1