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Filters: Tags: {"type":"CMS Topics","name":"drought"} (X) > partyWithName: South Central CASC (X) > partyWithName: Renee McPherson (X)

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Drought is a common consequence of climate variability in the south-central U.S., but they are expected to occur more often and become more intense with climate change. Natural resource managers can improve their planning efforts with advance warnings of impending drought. Using input from resource managers in the Chickasaw Nation, this research team previously created models that forecast droughts up to 18 months in advance with information about their expected timing and intensity. Developed for all climate divisions in Louisiana, New Mexico, Oklahoma, and Texas, these drought models rely on input from predictor variables associated with global weather patterns like El Niño and La Niña. However, it is unclear...
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The Edwards Aquifer in south-central Texas provides water resources to more than 2 million people and is home to eight federally listed threatened and endangered species that are dependent on spring flow from the aquifer for survival. Recent results from global climate models indicate that over the next several decades increases in annual average temperatures and evapotranspiration are likely in this semi-arid region. Decision makers and water resource planners need to have a robust scientific understanding of the impacts of future climate conditions on the Edwards Aquifer system to assess future management strategies needed to maintain water availability and ensure adequate spring flow for protected species....
    map background search result map search result map Assessing Future Climate Impacts on Threatened and Endangered Groundwater Dependent Species in the Edwards Aquifer Region Using a Novel Hybrid Artificial Intelligence Framework Improving Predictive Drought Models with Sensitivity Analysis Improving Predictive Drought Models with Sensitivity Analysis Assessing Future Climate Impacts on Threatened and Endangered Groundwater Dependent Species in the Edwards Aquifer Region Using a Novel Hybrid Artificial Intelligence Framework