Your search found 3 records
1 Traore, S.. 1989. Hydrologic's impact upon the hydraulic projects in Burkina. In Stout, G. E.; Demissie, M. (Eds.) The state-of-the art of hydrology and hydrogeology in the arid and semi-arid areas of Africa. Urbana, IL, USA: IWRA. pp.870.
Hydraulic structures ; Dams ; Water resources ; River basins / Burkina Faso
(Location: IWMI-HQ Call no: 551.48 G100 STO Record No: H08423)

2 Traore, S.; Zhang, L.; Guven, A.; Fipps, G. 2020. Rice yield response forecasting tool (YIELDCAST) for supporting climate change adaptation decision in Sahel. Agricultural Water Management, 239:106242. (Online first) [doi: https://doi.org/10.1016/j.agwat.2020.106242]
Climate change adaptation ; Upland rice ; Crop yield ; Yield forecasting ; Decision support systems ; Models ; Gene expression ; Rainfed farming ; Temperature ; Carbon dioxide ; Emission / Sahel / Burkina Faso / Bobo Dioulasso
(Location: IWMI HQ Call no: e-copy only Record No: H049705)
https://vlibrary.iwmi.org/pdf/H049705.pdf
(2.71 MB)
Rice yield responses forecast (YIELDCAST) is a very useful decision support tool in climate adaptation in Sahel, where crops are purely rainfed climate-stressors sensitive. This study aims to construct upland rice yield responses forecasting algebraic formulation code referred as YIELDCAST by using gene-expression programming (GEP) based on observed rainfall and temperatures data (1979–2011), and forcing with global climate model (GCM) downscaled outputs under CO2 emission scenarios SR-A1B, A2 and B1 (2012–2100) over Bobo-Dioulasso, a Sahelian region. Statistically, GEP is a capable tool to downscale climate variables in the region (R = 0.746-0.949), and construct reliable rice YIELDCAST tool (R = 0.930; MSE = 0.037 ton/ha; MAE = 0.155 ton/ha, RSE = 0.137 ton/ha). Yields forecasted (2012–2100) showed a noticeable statistically significant difference between scenarios; however, fluctuating with no substantial increase (average below 1.60 ton/ha); suggesting that the increase observed in temperatures and decrease in rains will either reduced or hindered yield to largely increase in Sahel. With no such YIELDCAST tool to support adaptation decision, Sahel will still be under the trap of the broad array of adaptation strategy, which is a trial and error, less specific and costly. The model can help anticipate adaptation decision support on-farm water management, shift to suitable planting periods, and use of improved drought resistant and short duration varieties adapted to a local weather pattern.

3 Yishay, A. B.; Sayers, R.; Singh, K.; Goodman, S.; Walker, M.; Traore, S.; Rauschenbach, M.; Noltze, M. 2024. Irrigation strengthens climate resilience: long-term evidence from Mali using satellites and surveys. PNAS Nexus, 3(2):1-9. [doi: https://doi.org/10.1093/pnasnexus/pgae022]
Climate resilience ; Satellite imagery ; Surveys ; Remote sensing ; Small scale systems ; Irrigation ; Climate change ; Rainfall patterns ; Agricultural production ; Conflicts ; Food security ; Water availability / Africa / Mali / Sahel
(Location: IWMI HQ Call no: e-copy only Record No: H052734)
https://academic.oup.com/pnasnexus/article-pdf/3/2/pgae022/56683393/pgae022.pdf
https://vlibrary.iwmi.org/pdf/H052734.pdf
(2.57 MB) (2.57 MB)
Agriculture in the Sahel and much of sub-Saharan Africa remains to a large extent rainfed. At the same time, climate change is already causing less predictable rainfall patterns in the region, even as rising temperatures increase the amount of water needed for agricultural production. We assess to what extent irrigation can strengthen the climate resilience of farming communities. Our study sample consists of nearly 1,000 distinct locations in Mali in which small-scale, river-based irrigation was introduced over the past two decades, as weather conditions worsened and political upheaval erupted. Using the staggered roll-out of the irrigation and repeated observations over 20 years allows us to compare the pre- and postirrigation outcomes of locations while adjusting for confounding factors. We geospatially link data on irrigation interventions with agricultural conditions measured using satellite imagery and surveys, as well as child nutrition and health outcomes and conflict event data. Using a two-way fixed effects model to quasi-experimentally estimate counterfactual outcomes, we find that the introduction of irrigation led to substantial increases in agricultural production on supported fields, with these gains persisting even a decade later. Children in nearby communities are less likely to be stunted or wasted due to the irrigation, and conflict risks decrease in the closest communities. Some of these gains are offset by worsening conditions farther away from the newly installed irrigation. These findings suggest that, even with political conflicts in semi-arid areas already increasing, sustainable irrigation may offer a valuable tool to improve communities' long-term well-being and social cohesion.

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