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Evaluating County-level Potential Production Capacity of Potatoes for Maine using the Crop Model SPUDSIM

机译:使用作物模范Spudsim评估缅因州土豆县级潜在生产能力

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The United States Eastern Seaboard Region, consisting of the coastal states from Maine to Virginia, depends on centralized and distantly produced food to supply its urban population. Nonlocal food sources may be vulnerable to uncertainties such as increasing fuel costs, population growth, and climate change. County-level estimates of potential crop production capacity, as well as the associated resource requirements, are necessary to aidfarmers and policy planners in making management decisions and identifying potential areas for local food production. The potato growth model SPUDSIM, developed by USDA-ARS, was used to simulate potato production for each county in Maine. Daily climate data generatedfrom the model CLIGEN based on historic data from NOAA weather stations were used along with SSURGO soil data and management information to quantify crop yield and resource requirements (fertilizer and irrigation) at a high resolution throughout the state. The simulated crop productivity was aggregated to determine the distribution of crop productivity at the county scale and compared with agricultural census data from NASS. The production capacity was compared to the potential future capacity under various scenarios, providing valuable information forlocal agencies as well as providing a baseline for future research regarding predicting potential production capacity under land use change and climate change scenarios.
机译:美国东部海岸地区由缅因州缅因州到弗吉尼亚州的沿海国家组成,取决于集中式和远端生产的食物来提供其城市人口。非局部食物来源可能很容易受到不确定性的影响,例如增加燃料成本,人口增长和气候变化。 AIDFARMERS和政策规划者在制定管理决策和识别当地粮食生产方面,县级潜在作物生产能力以及相关资源要求的估计是必要的。由USDA-ARS开发的马铃薯生长模型Spudsim用于模拟缅因州每个县的马铃薯生产。每日气候数据产生根据Noaa气象站的历史数据的模型Cligen与Ssurgo土壤数据和管理信息一起使用,以在整个国家的高分辨率下量化作物产量和资源要求(肥料和灌溉)。模拟作物生产率被汇总,以确定县规模的作物生产率分布,并与来自NASS的农业人口普查数据相比。将生产能力与各种情景下的潜在未来产能进行比较,提供有价值的信息资料机构,并为未来的研究提供基线,以预测土地利用变化和气候变化情景下的潜在生产能力。

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