Using climate scenarios to evaluate future impacts on the groundwater resources and agricultural economy of the Texas High Plains

Author:

Tewari Rachna1,Johnson Jeff2,Mauget Steven3,Leiker Gary3,Hayhoe Katharine4,Hernandez Annette5,Hudson Darren6,Wang Chenggang6,Patterson Dennis4,Rainwater Ken5

Affiliation:

1. Department of Agriculture, Geosciences, and Natural Resources, The University of Tennessee at Martin, Martin, TN, USA

2. Delta Research and Extension Center, Mississippi State University, Stoneville, MS, USA

3. USDA Agricultural Research Service, Lubbock, TX, USA

4. Department of Political Science, Texas Tech University, Lubbock, TX, USA

5. Department of Civil & Environmental Engineering, Texas Tech University, Lubbock, TX, USA

6. Department of Agricultural and Applied Economics, Texas Tech University, Lubbock, TX, USA

Abstract

This study evaluated the impacts of future climate scenarios on the groundwater resources and agricultural economy of the Texas High Plains, using Hale county as a case study. Climate change impacts were incorporated into regional economic models using weather projections to develop crop response functions from crop models. These projections are based on quantitative projections of precipitation, potential evapotranspiration, and temperature trends driven by simulations from the latest IPCC AR4 climate models (Community Climate System Model (CCSM), Geophysical Fluid Dynamics Laboratory (GFDL), UK Met Office Hadley Model (HadCM3), and Parallel Climate Model (PCM)) under two specific emissions scenarios, A1B (mid-range) and A1FI (higher). Results indicated that for both the emission scenarios, saturated thickness, water use per cropland acre, and irrigated acreage declined under climatic predictions by all four models. At the end of the 90 year horizon, the A1B scenario resulted in a decline in average net income per acre as predicted by the CCSM and HadCM3 models, while the GFDL and PCM models predicted an increase in average net income per acre. Under the A1FI scenario, the CCSM, GFDL, and PCM model projections led to increased average net income per acre, while climate projections under the HadCM3 model indicated a decline in average net income per acre at the end of the 90 year horizon.

Publisher

IWA Publishing

Subject

Management, Monitoring, Policy and Law,Atmospheric Science,Water Science and Technology,Global and Planetary Change

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