Abstract

Projections of greater interannual and intrannual climate variability, including increasing temperatures, longer and more intense drought periods, and more extreme precipitation events, present growing challenges for agricultural production in the Southern Plains of the USA. We assess agricultural vulnerabilities within this region to support identification and development of adaptation strategies at regional to local scales, where many management decisions are made. Exposure to the synergistic effects of warming, such as fewer and more intense precipitation events and greater overall weather variability, will uniquely affect rain-fed and irrigated cropping, high-value specialty crops, extensive and intensive livestock production, and forestry. Although the sensitivities of various agricultural sectors to climatic stressors can be difficult to identify at regional scales, we summarize that crops irrigated from the Ogallala aquifer possess a high sensitivity; rangeland beef cattle production a low sensitivity; and rain-fed crops, forestry, and specialty crops intermediate sensitivities. Numerous adaptation strategies have been identified, including drought contingency planning, increased soil health, improved forecasts and associated decision support tools, and implementation of policies and financial instruments for risk management. However, the extent to which these strategies are adopted is variable and influenced by both biophysical and socioeconomic considerations. Inadequate local- and regional-scale climate risk and resilience information suggests that climate vulnerability research and climate adaptation approaches need to include bottom-up approaches such as learning networks and peer-to-peer communication.

Highlights

  • Climate is a key driver for all ecological and economic systems; climate change introduces additional uncertainty and vulnerability into these systems (IPCC 2014)

  • It is essential to elucidate vulnerabilities in a way that helps identify adaptation strategies at regional to local scales where management decisions are made. The objective of this assessment is to identify key vulnerabilities of agriculture to climate change in context of the Southern Plains region of the USA, taking a Bbottom-up^ approach (Noble et al 2014), whereby practical and efficient adaptation strategies for specific key production systems are proposed. This analysis focusing on vulnerability of key agricultural sectors, such as rain-fed and irrigated cropping, highvalue specialty crops, extensive and intensive livestock systems, and forestry, may provide a useful framework to assess vulnerability in similar agro-ecoregions of the world

  • The Southern Plains is primarily characterized by grassland, cropland, and forest land (US Geological Survey (USGS) 2011)

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Summary

Introduction

Climate is a key driver for all ecological and economic systems; climate change introduces additional uncertainty and vulnerability into these systems (IPCC 2014). It is essential to elucidate vulnerabilities in a way that helps identify adaptation strategies at regional to local scales where management decisions are made The objective of this assessment is to identify key vulnerabilities of agriculture to climate change in context of the Southern Plains region of the USA, taking a Bbottom-up^ approach (Noble et al 2014), whereby practical and efficient adaptation strategies for specific key production systems are proposed. This analysis focusing on vulnerability of key agricultural sectors, such as rain-fed and irrigated cropping, highvalue specialty crops, extensive and intensive livestock systems, and forestry, may provide a useful framework to assess vulnerability in similar agro-ecoregions of the world

Agriculture and climate in the Southern Plains
Vulnerability framework
Exposure
Sensitivity
Adaptive capacity and adaptive management
Agricultural sensitivities to climate change in the Southern Plains
Forests
Adaptation and adaptive capacity of Southern Plains agriculture
Adaptation planning for cropping systems
Grazing land livestock
Findings
Conclusions
Full Text
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