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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Adaptive Cropping Systems Laboratory » Research » Publications at this Location » Publication #359183

Title: Climate information, crop modeling, and impacts on global food security

Author
item SINGH, SHARDENDU - University Of Washington
item Reddy, Vangimalla

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 11/8/2018
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Climate change is already affecting the natural resources such as terrestrial vegetation, animal husbandry, and fisheries that societies depend on to provide food, fiber, fuel, several industrial products, and recreational services. These carbon-based products and fresh water supply come from the thin living skin covering the earth’s land surface called the terrestrial ecosystem. Within the next fifty years, the human population is projected to double, and economic buying power for carbon-based products could triple. As there are no more unexplored frontiers, this increased demand from terrestrial ecosystem will have to be met with the existing natural resource base and in the face of a changing climate and extreme weather events. In addition, regional increases in soil erosion and atmospheric pollution could also have negative impacts on crop productivity and the natural resource base of the planet. With existing scientific knowledge it is impossible to accurately predict how these changes in the global climate may change the productivity of various crops worldwide and overall productivity of the terrestrial ecosystem. One way to deal with the complexity of the system, and its impact on crop productivity, is to develop and use mechanistic, process level computer simulation models, both at the field level and at the ecosystem level. This presentation outlines some examples of the development and use of the crop models for various applications to increase crop productivity and to mitigate the harmful effects of adverse environmental variables on natural resources, both in the current and in the future changing environment.