Your search found 2 records
1 Prasad, P.; Gupta, P.; Belsare, H.; Mahendra, C. M.; Bhopale, M.; Deshmukh, S.; Sohoni, M. 2023. Mapping farmer vulnerability to target interventions for climate-resilient agriculture: science in practice. Water Policy, wp2023036. (Online first) [doi: https://doi.org/10.2166/wp.2023.036]
Climate resilience ; Farmers ; Vulnerability ; Crop water use ; Soybeans ; Water stress ; Soil moisture ; Transdisciplinary research ; Protective irrigation ; Villages ; Policies ; Evapotranspiration ; Water balance ; Irrigation ; Soil texture ; Models ; Climate change / India / Maharashtra / Adgaon / Yavatmal / Mangrul / Nanded
(Location: IWMI HQ Call no: e-copy only Record No: H052114)
https://iwaponline.com/wp/article-pdf/doi/10.2166/wp.2023.036/1268773/wp2023036.pdf
https://vlibrary.iwmi.org/pdf/H052114.pdf
https://vlibrary.iwmi.org/pdf/H052114.pdf
(0.96 MB) (980 KB)
Farmers in dryland regions are highly vulnerable to rainfall variability. This vulnerability is unequal, as it is mediated by biophysical and social factors. Implementing policies for climate resilience requires identification of farmers who are most vulnerable to extreme events like dry spells. We develop a novel approach by conceptualizing dry spell vulnerability at the farm scale in terms of monsoon crop water deficit. Using inputs of weather, terrain, soil properties, land-use-land-cover, crop properties, and cadastral maps, our tool models an hourly soil water balance at 30 m × 30 m resolution and maps the crop water deficit under rainfed conditions. This is a good indicator of the relative sensitivity of farmers to dry spells and allows prioritization of interventions within the focus region. Our tool, developed and deployed within the Maharashtra State Project on Climate-Resilient Agriculture, is iteratively calibrated and refined. We present the result of one such iteration where 72% of cases were found to have an agreement between the modelled output and farmers' perception of dry spell-induced crop water stress. Our work demonstrates how vulnerability to climate hazards may be mapped at micro-scales to assist policy makers in targeting interventions in ecologically fragile regions with high rainfall variability.
2 Deshmukh, S.; Jadhav, P.; Sawant, P.; Thorat, V. 2023. Climatic vulnerability, adoption of climate-resilient technologies, and its socioeconomic-institutional-agroecological determinants. Climate Services, 32:100414. [doi: https://doi.org/10.1016/j.cliser.2023.100414]
(Location: IWMI HQ Call no: e-copy only Record No: H052386)
https://www.sciencedirect.com/science/article/pii/S2405880723000766/pdfft?md5=61eb366a85305834128446afc7453e14&pid=1-s2.0-S2405880723000766-main.pdf
https://vlibrary.iwmi.org/pdf/H052386.pdf
https://vlibrary.iwmi.org/pdf/H052386.pdf
(3.07 MB) (3.07 MB)
Climate change have been identified as the greatest challenge facing global leaders in 21st century. A major obstacle hindering the world from achieving the Sustainable Development Goals (SDGs) is climate change. Climate-resilient agriculture requires the integration of both socioeconomic and agroecological spheres with institutional investment. Numerous studies have advanced our understanding of climate change and its impact on global agriculture, but few have focused on the micro-farming situation. A geographical indicator (GI)-labelled Alphonso mango has developed a high sensitivity to climate change. It is therefore, this study intends to investigate climatic vulnerabilities; the adoption of climate-resilient technologies, and which socioeconomic-institutional-agroecological factors affect the adoption process. We adopted a multistage random sampling method to identify districts, blocks, villages, and mango farmers. A pre-tested interview schedule was employed to obtain field data. A binary logistic regression model was employed in Statistical Package for Social Sciences (SPSS). The results of this study identified extreme climatic vulnerabilities such as temperature, relative humidity, cold waves, fog, and frost that caused damage to the mango plantations around the plains and hills of the west coast India, resulting in decreased production and productivity. Therefore, mango orchardists in coastal agroecosystems have adopted a large number of climate-resilient technologies, albeit at a moderate level. We found that a set of socioeconomic, institutional, and agroecological indicators had a substantial impact on the adoption of climate-resilient technologies (CRTs). This research implied that climate change adaptation plans may be designed and implemented with socioeconomic, institutional, and agroecological indicators in mind at all levels of policy planning such as macro-scale (global), meso (regional), and landscape (local).
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