2021
DOI: 10.3354/cr01629
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Decadal climate variability, water availability and cropping: the value of forecast information in South-Central Texas

Abstract: Decadal climate variability (DCV) phenomena are ocean-based conditions that have climate influences persisting for a decade or more. Few studies have addressed the coupled agricultural and economic implications of these phenomena. Here, we investigate the economic value of DCV information in a South Central Texas case study along with the nature of possible adaptations to the information. To do this we first perform an econometric estimation of DCV impacts on regional crop yields and groundwater recharge. We t… Show more

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“…For instance, agriculture-related water pumping entities could utilize El Niño Southern Oscillation (ENSO) and/or decadal climate variability (DCV) information to adopt climate change adaptation strategies, e.g., climatetolerant crop, crop insurance, and provisions of adaptation financing (Fan et al 2017, Wang et al 2021. The relationship among hydrological variables, climate variables, and ENSO/DCV have been identified in existing studies by applying a percentile method (Cayan et al 1999, Sankarasubramanian andLall 2003), simulation (Mehta et al 2012), or regression-based methods (Jithitikulchai 2018, Huang et al 2020, Ding and McCarl 2021. In the future, these approaches can be tested relative to the methods adopted in this study.…”
Section: Discussionmentioning
confidence: 99%
“…For instance, agriculture-related water pumping entities could utilize El Niño Southern Oscillation (ENSO) and/or decadal climate variability (DCV) information to adopt climate change adaptation strategies, e.g., climatetolerant crop, crop insurance, and provisions of adaptation financing (Fan et al 2017, Wang et al 2021. The relationship among hydrological variables, climate variables, and ENSO/DCV have been identified in existing studies by applying a percentile method (Cayan et al 1999, Sankarasubramanian andLall 2003), simulation (Mehta et al 2012), or regression-based methods (Jithitikulchai 2018, Huang et al 2020, Ding and McCarl 2021. In the future, these approaches can be tested relative to the methods adopted in this study.…”
Section: Discussionmentioning
confidence: 99%