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Yield-SAFE: A parameter-sparse, process-based dynamic model for predictingresource capture, growth, and production in agroforestry systems.

机译:Yield-SAFE:一种基于参数稀疏,基于过程的动态模型,用于预测农林业系统中的资源捕获,增长和生产。

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摘要

1. Silvoarable agroforestry (SAF) is the cultivation of trees and arable cropson the same parcel of land. SAF may contribute to modern diversified land useobjectives in Europe, such as enhanced biodiversity and productivity, reducedleaching of nitrogen, protection against flooding and erosion, andattractiveness of the landscape. Long-term yield predictions are needed toassess long-term economic profitability of SAF. 2. A model for growth, resourcesharing and productivity in agroforestry systems was developed to act as a toolin forecasts of yield, economic optimization of farming enterprises andexploration of policy options for land use in Europe. The model is called Yield-SAFE; from “YIeld Estimator for Long term Design of Silvoarable AgroForestry inEurope”. The model was developed with as few equations and parameters aspossible to allow model parameterization under constrained availability of datafrom long-term experiments. 3. The model consists of seven state equationsexpressing the temporal dynamics of: (1) tree biomass; (2) tree leaf area; (3)number of shoots per tree; (4) crop biomass; (5) crop leaf area index; (6) heatsum; and (7) soil water content. The main outputs of the model are the growthdynamics and final yields of trees and crops. Daily inputs are temperature,radiation and precipitation. Planting densities, initial biomasses of tree andcrop species, and soil parameters must be specified. 4. A parameterization ofYield-SAFE is generated, using published yield tables for tree growth and outputfrom the comprehensive crop simulation model STICS. Analysis of tree and cropgrowth data from two poplar agroforestry stands in the United Kingdomdemonstrates the validity of the modelling concept and calibration philosophy ofYield-SAFE. A sensitivity analysis is presented to elucidate which biologicalparameters most influence short and long-term productivity and land equivalentratio. 5. The conceptual model, elaborated in Yield-SAFE, in combination withthe outlined procedure for model calibration, offers a valid tool forexploratory land use stud
机译:1.宜居的农用林业(SAF)是指树木和耕种的农作物种植在同一块土地上。 SAF可能有助于实现欧洲现代多样化土地用途的目标,例如提高生物多样性和生产力,减少氮的淋失,防止洪水和侵蚀以及景观的吸引力。需要长期产量预测以评估SAF的长期经济获利能力。 2.建立了农林业系统的增长,资源共享和生产率模型,以作为产量预测,农业企业的经济优化和欧洲土地利用政策选择的探索。该模型称为Yield-SAFE;摘自“欧洲可食农业用林的长期设计产量估算器”。使用尽可能少的方程式和参数来开发模型,以便在长期实验数据的有限可用性下允许模型参数化。 3.该模型由七个状态方程组成,这些方程表示以下时间动态:(1)树木生物量; (2)树叶面积; (3)每棵树的芽数; (4)农作物生物量; (5)农作物叶面积指数; (6)热量; (7)土壤含水量。该模型的主要输出是树木和农作物的生长动力学和最终产量。每天的输入是温度,辐射和降水。必须指定种植密度,树木和农作物的初始生物量以及土壤参数。 4.使用已发布的树木生长单产表和综合作物模拟模型STICS的输出,生成Yield-SAFE的参数化。对来自英国两个杨树农林业林分的树木和农作物数据的分析证明了Yield-SAFE的建模概念和校准原理的有效性。提出了敏感性分析,以阐明哪些生物参数最能影响短期和长期生产力以及土地当量比。 5. Yield-SAFE中详细阐述的概念模型与概述的模型校准程序相结合,为探索性土地利用螺柱提供了有效的工具

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