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1.
Ambio ; 52(12): 2009-2022, 2023 Dec.
Article in English | MEDLINE | ID: mdl-37450193

ABSTRACT

This review systematically traces the context and evolution of climate-smart irrigation (CSI) in four South Asian countries-Bangladesh, India, Nepal, and Pakistan. CSI technologies and practices strive to address two main objectives: (1) sustainably enhance agricultural/water productivity and rural farm incomes to build community and farm-level resilience to climate change and (2) enable adaptation/mitigation to climate change across different scales through irrigation technologies and water resources management. These innovations also pose various social and environmental challenges. This review extracts findings from existing literature related to potential societal and environmental benefits and risks associated with CSI and outlines opportunities for responsible innovation to elaborate robust and democratic roles of CSI technology and engender equitable technological change. We identify three drivers (climate variability and GHG mitigation, cost savings and support structure, and water conservation and management) and five barriers (financial support, high initial cost, inadequate practice-based research, lack of knowledge and/or access, and structures of power).


Subject(s)
Agriculture , Technology , Asia, Southern , Farms , India , Climate Change
2.
Risk Anal ; 39(1): 17-34, 2019 01.
Article in English | MEDLINE | ID: mdl-29193188

ABSTRACT

Potential climate-change-related impacts to agriculture in the upper Midwest pose serious economic and ecological risks to the U.S. and the global economy. On a local level, farmers are at the forefront of responding to the impacts of climate change. Hence, it is important to understand how farmers and their farm operations may be more or less vulnerable to changes in the climate. A vulnerability index is a tool commonly used by researchers and practitioners to represent the geographical distribution of vulnerability in response to global change. Most vulnerability assessments measure objective adaptive capacity using secondary data collected by governmental agencies. However, other scholarship on human behavior has noted that sociocultural and cognitive factors, such as risk perceptions and perceived capacity, are consequential for modulating people's actual vulnerability. Thus, traditional assessments can potentially overlook people's subjective perceptions of changes in climate and extreme weather events and the extent to which people feel prepared to take necessary steps to cope with and respond to the negative effects of climate change. This article addresses this knowledge gap by: (1) incorporating perceived adaptive capacity into a vulnerability assessment; (2) using spatial smoothing to aggregate individual-level vulnerabilities to the county level; and (3) evaluating the relationships among different dimensions of adaptive capacity to examine whether perceived capacity should be integrated into vulnerability assessments. The result suggests that vulnerability assessments that rely only on objective measures might miss important sociocognitive dimensions of capacity. Vulnerability indices and maps presented in this article can inform engagement strategies for improving environmental sustainability in the region.


Subject(s)
Agriculture/methods , Climate Change , Climate , Environment , Farmers , Geography , Humans , Midwestern United States , Models, Statistical , Rain , Risk Assessment , Rural Population , Socioeconomic Factors , United States , Weather
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