Modeling Sustainable Agricultural Residue Removal at the Subfield Scale
Modeling Sustainable Agricultural Residue Removal at the Subfield Scale
复制标题
模拟子田规模的可持续农业残留物清除
DOI：
10.2134/agronj2012.0024
复制
发表时间：
2012
期刊：
影响因子：
2.1
通讯作者：
K. Bryden
中科院分区：
文献类型：
--
作者：
David Muth;D. McCorkle;Joshua B. Koch;K. Bryden
这项研究开发了一种计算策略，利用多个空间尺度的数据输入来研究各个领域内的变异如何影响生物能源生产的可持续残留物清除。可持续利用农业残留物进行生物能源生产需要考虑残留物在限制土壤侵蚀和维持土壤碳、健康和生产力方面发挥的重要作用。粮食产量数据、高保真数字高程模型和土壤特征数据等子田规模数据集的可用性增加，为研究子田规模变异性对可持续农业残留物清除的影响提供了机会。本研究利用爱荷华州的三个代表性田地，将当前 NRCS 保护管理规划分析的结果与耙捆清除农业残留物的子田规模分析结果进行了对比。比较结果表明，NRCS 保护管理规划中使用的田间平均假设可能会导致某些田地的重要部分做出不可持续的残留物清除决策。这凸显了对亚田规模可持续农业残留物清除进行额外研究的必要性，包括开发农业残留物的实时变量清除技术。
This study developed a computational strategy that utilizes data inputs from multiple spatial scales to investigate how variability within individual fields can impact sustainable residue removal for bioenergy production. Sustainable use of agricultural residues for bioenergy production requires consideration of the important role that residues play in limiting soil erosion and maintaining soil C, health, and productivity. Increased availability of subfield-scale data sets such as grain yield data, high-fidelity digital elevation models, and soil characteristic data provides an opportunity to investigate the impacts of subfield-scale variability on sustainable agricultural residue removal. Using three representative fields in Iowa, this study contrasted the results of current NRCS conservation management planning analysis with subfield-scale analysis for rake-and-bale removal of agricultural residue. The results of the comparison show that the field-average assumptions used in NRCS conservation management planning may lead to unsustainable residue removal decisions for significant portions of some fields. This highlights the need for additional research on subfield-scale sustainable agricultural residue removal including the development of real-time variable removal technologies for agricultural residue.