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Crop Rota - A crop rotation model to support integrated land use assessments

机译:轮作作物-一种轮作模型,支持土地综合利用评估

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Crop rotations influence the sustainability of agricultural systems. Integrated land use modeling frameworks increasingly acknowledge their role when analyzing economic and environmental impacts of agricultural production systems. However, insufficient data on crop rotations often challenge their consideration. In this article, we present the crop rotation model CropRota, which integrates agronomic criteria and observed land use data to generate typical crop rotations for farms and regions. The article describes the model and data requirements as well as an application of CropRota to 579 farms in the Austrian Mostviertel region. Model validation and sensitivity analysis are conducted to reveal robustness and accuracy of model outputs as well as its appropriateness for supporting integrated land use analyses. Comparisons between modeled and observed crop sequences from seven years of field observations show that the average area-weighted deviations range between 11% and 105% depending on the procedure of comparison and model specifications. The results indicate that CropRota is a suitable tool for the estimation of typical crop rotations from observed land use data. In addition, the model is sufficiently flexible to spatial scales and research contexts as frequently required in integrated land use analyses
机译:轮作影响农业系统的可持续性。在分析农业生产系统的经济和环境影响时,综合的土地利用建模框架越来越认识到它们的作用。但是,关于作物轮作的数据不足常常挑战其考虑。在本文中,我们介绍了作物轮作模型CropRota,该模型整合了农艺标准和观察到的土地利用数据,以生成农场和地区的典型作物轮作。本文介绍了模型和数据要求,以及CropRota在奥地利Mostviertel地区579个农场中的应用。进行了模型验证和敏感性分析,以揭示模型输出的鲁棒性和准确性,以及其在支持综合土地利用分析中的适用性。对来自七年实地观测的建模和观测作物序列的比较表明,根据比较程序和模型规格,平均面积加权偏差范围在11%至105%之间。结果表明,CropRota是从观测到的土地利用数据估算典型作物轮作的合适工具。此外,该模型对于土地综合利用分析中经常需要的空间尺度和研究环境具有足够的灵活性

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