Your search found 3 records
1 Alvar-Beltran, J.; Soldan, R.; Ly, P.; Seng, V.; Srun, K.; Manzanas, R.; Franceschini, G.; Heureux, A. 2022. Climate change impacts on irrigated crops in Cambodia. Agricultural and Forest Meteorology, 324:109105. [doi: https://doi.org/10.1016/j.agrformet.2022.109105]
Irrigated farming ; Climate change ; Irrigation methods ; Crop production ; Vegetables ; Tomatoes ; Pak choi ; Asparagus beans ; Yield forecasting ; Water productivity ; Drought stress ; Precipitation ; Models / Cambodia / Siem Reap / Tonle Sap Basin
(Location: IWMI HQ Call no: e-copy only Record No: H051398)
https://www.sciencedirect.com/science/article/pii/S0168192322002921/pdfft?md5=9688ebfcf2d983d35d219fa2bbfec7c7&pid=1-s2.0-S0168192322002921-main.pdf
https://vlibrary.iwmi.org/pdf/H051398.pdf
https://vlibrary.iwmi.org/pdf/H051398.pdf
(11.40 MB) (11.4 MB)
Increasing heat-stress conditions, rising evaporative demand and shifting rainfall patterns may have multifaceted impacts on Cambodia's agricultural systems, including vegetable production. Concurrently, domestic vegetable supply is highly seasonal and inadequate to meet the domestic food demand, which consequently poses risks to food security locally, particularly in rural areas. This study assesses the impact of climate change on the yields and crop water productivity (CWP) of tomato, pak choi and yard-long bean cultivated year-round under different irrigated conditions (drip, furrow and net irrigation) in Siem Reap, Cambodia. The findings of this study show a similar annual precipitation decline (-23%) when comparing the 2017–2040 and 2070–2099 periods for both Representative Concentration Pathways (RCPs 4.5 and 8.5), though with significant seasonal differences between the two climate scenarios. Increasing water and heat-stress conditions are expected to have adverse impacts on tomato plants compared to pak choi and yard-long bean, which have a much higher heat tolerance. Differing yield trends are expected depending on the transplanting/sowing date, irrigation method and RCP. In tomato, for example, a -55% yield loss is projected by the end-century (2070–2099) when transplanting in January, whereas a + 37% yield increase is expected between November and December over the same period. In addition, pak choi yield enhancements of up to +30% are projected if sowing in May under RCP 8.5 for both drip and net irrigation conditions. Similarly, higher yard-long bean yields are simulated under RCP 8.5 (+29%) compared to RCP 4.5 (+11%) for the average of all sowing dates (January to December) and irrigation methods (drip, furrow and net irrigation). In sum, the findings of this work are relevant for evidence-based decision-making and the development of projects, policies and programmes increasingly informed by simulation results from bundling climate-crop approaches to transform agriculture in response to climate change.
2 Alvar-Beltran, J.; Soldan, R.; Vanuytrecht, E.; Heureux, A.; Shrestha, Nirman; Manzanas, R.; Pant, K. P.; Franceschini, G. 2023. An FAO model comparison: Python Agroecological Zoning (PyAEZ) and AquaCrop to assess climate change impacts on crop yields in Nepal. Environmental Development, 47:100882. [doi: https://doi.org/10.1016/j.envdev.2023.100882]
Crop modelling ; Agroecological zones ; Climate change ; Crop yield ; Maize ; Rice ; Wheat ; Irrigation management ; Rainfed farming ; Water productivity ; Soil texture ; Temperature ; River basins ; FAO / Nepal / Koshi River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H052082)
(9.28 MB)
To identify the most effective agricultural transformation and adaptation measures, the Food and Agriculture Organization (FAO) calls for action to produce robust crop suitability assessments. We developed a novel approach to assess the inputs and outputs of two FAO tools (AEZ and AquaCrop). We use Nepal as a case study, a country offering a myriad of ecoclimatic conditions for multiple crops. Our work provides further evidence of climate change impacts on rice, maize and wheat yields along the different agroclimatic zones of Nepal, equally under rainfed and irrigated conditions for future climate scenarios. The findings of bias-adjusted regional climate models (RCMs) shows increasing temperatures and precipitation; whereas the outputs of agroecological/crop models show effective adaptation of C3 crops to a CO2 enriched environment. In sum, this supports the climate-crop modelling user community, extension workers and government agencies with guidance’s to overcome uncertainties associated with the application of these tools.
3 Alvar-Beltran, J.; Saturnin, C.; Gregoire, B.; Camacho, J. L.; Dao, A.; Migraine, J. B.; Marta, A, D. 2023. Using AquaCrop as a decision-support tool for improved irrigation management in the Sahel Region. Agricultural Water Management, 287:108430. (Online first) [doi: https://doi.org/10.1016/j.agwat.2023.108430]
Decision support systems ; Irrigation management ; Tomatoes ; Maize ; Quinoa ; Food security ; Agricultural extension ; Water productivity ; Models ; Water resources ; Precipitation ; Evapotranspiration ; Drought stress ; Canopy ; Irrigation schemes ; Yields ; Crop water use ; Water requirements ; Early warning systems / Sahel / West Africa / Burkina Faso
(Location: IWMI HQ Call no: e-copy only Record No: H052111)
https://www.sciencedirect.com/science/article/pii/S0378377423002950/pdfft?md5=071f68c31d21c94884a3be995aaa27d5&pid=1-s2.0-S0378377423002950-main.pdf
https://vlibrary.iwmi.org/pdf/H052111.pdf
https://vlibrary.iwmi.org/pdf/H052111.pdf
(3.41 MB) (3.41 MB)
Operational systems providing irrigation advisories to agricultural extension workers are paramount, particularly in West Africa where the yield gap represents the greatest agriculture growth-led opportunity. The proposed framework for Burkina Faso, an irrigation decision support system (DSS), is based on in-situ weather and field observations necessary for feeding the atmosphere, soil, and crop modules of crop-water productivity models (e.g., AquaCrop). To optimize water resources, incoming irrigation and precipitation, and outgoing evapotranspiration are constantly monitored and adjusted. The findings of the proposed semi-automatic irrigation DSS indicate that water stresses affecting the canopy cover and stomatal closure are minimized if the proposed irrigation schemes are generated and improved with five-day weather observations. The source of uncertainty in crop models’ evapotranspiration estimations is reduced by systematically comparing the observed crop evapotranspiration (ETc) with historical ETc records. An increase in yields is observed in all studied crops, from 1960 to 2018 kg/ha (tomato dry yields), from 2571 to 2799 kg/ha (maize), and from 1279 to 1385 kg/ha (quinoa) when comparing the 2020–21 and 2021–22 experiments. Results show an optimization of water resources, with a higher evapotranspired water productivity (WPET, expressed as dry weight) when comparing the two experiments, from 0.86 to 0.97 kg/m3 for tomato, from 0.85 to 0.86 kg/m3 for maize, and from 0.67 to 0.73 kg/m3 for quinoa, respectively in 2020–21 and 2021–22. The proposed irrigation DSS can be used to inform extension workers and technical agronomic experts about real-time crop water requirements and, thus, assist the Climate Risk and Early Warning Systems (CREWS) initiative that aims to improve access to weather information for decision-support in agriculture. Afterwards, extension agents can catalyze irrigation advisories and support farmers improve irrigation management at the field level to, ultimately, obtain higher yields.
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