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Simulation of grass/legume pasture yield as influenced by soil water, temperature, and nitrogen.

机译:模拟草/豆类牧草产量受土壤水,温度和氮的影响。

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A computer simulation of the yield response of grass/legume mixture pastures to soil water, temperature, and nitrogen was developed. The model operates on a daily time step over a growing season and compiles harvest and season totals. The model consisted of seven submodels: soil water content, soil temperature and heat flow, root mass growth and distribution, soil nitrogen dynamics, grass growth, legume growth, and grass/legume interactions. All seven submodels were necessarily coded into a single computer program because of their interactions with each other on a daily basis. Much of the model complexity is due to the large number of inputs required for each submodel, and due to the interactions and interdependencies between the various submodels. Despite this, flexibility and ease of use was built into the model operation, and the user interface.; Most of the model components were created using algorithms that were verified by previous research. Crop coefficients were based on modeled leaf area index. The modeled competition between grasses and legumes was based on their competition for light, which is based on leaf area index, leaf orientation, leaf transmission coefficients, and crop height; soil water, which is based on root distribution and growth; and nitrogen, which is based on the legumes' ability to fix nitrogen and the gasses' ability to benefit from fixed and mineralized nitrogen.; The model was shown to give reasonable results and a sensitivity analysis on several key parameters was performed. The model was calibrated with data collected from a rotationally grazed pasture in Cache County, Utah, and validated against data collected from a harvested high-elevation site in Rich County, Utah. As with all natural systems models, although the model generally matched measured results, the measured data showed significant variability when compared to the modeled results.
机译:建立了草/豆科植物混合牧草对土壤水分,温度和氮的产量响应的计算机模拟。该模型在整个生长季节的每日时间步长上运行,并汇总收获和季节总计。该模型由七个子模型组成:土壤水分,土壤温度和热流,根质量增长和分布,土壤氮动力学,草生长,豆类生长以及草/豆类相互作用。由于这七个子模型之间的日常交互,因此必须将其全部编码为一个计算机程序。由于每个子模型都需要大量输入,并且各个子模型之间存在相互作用和相互依存关系,因此模型的大部分复杂性。尽管如此,模型操作和用户界面还是内置了灵活性和易用性。大多数模型组件都是使用经过先前研究验证的算法创建的。作物系数基于建模的叶面积指数。草与豆类之间的竞争模型是基于它们对光的竞争而建立的,该竞争是基于叶面积指数,叶片方向,叶片透射系数和作物高度。基于根系分布和生长的土壤水;氮,其基于豆类植物固氮的能力以及气体从固氮和矿化氮中受益的能力。该模型显示出合理的结果,并对几个关键参数进行了敏感性分析。使用从犹他州卡什县的旋转放牧牧场收集的数据对模型进行了校准,并根据从犹他州里奇县的高海拔采伐场收集的数据进行了验证。与所有自然系统模型一样,尽管模型通常与测量结果匹配,但与建模结果相比,测量数据显示出显着的可变性。

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