Updated database on French crop residues (average from 2000 - 2018) 06/2021

The data presented here complements our publication "Crop residues may be a key feedstock to bioeconomy but how reliable are current estimation methods?". The dataset contains processed data on crop residue estimates for 17 crops at the French departmental level. The raw data on crop production and surface area was procured from Agreste (Official French agricultural statistics). The description of the datasets is highlighted below:

SM1A: This contains 19 years (2000 - 2018) of data on crop production and surface area for 17 crops and the estimated residues using different functions. More details on the functions used can be obtained from Karan and Hamelin (2021). The data is also synthesized to report the theoretical energy potential of these residues at the French departmental and regional level. The theoretical potential is presented in terms of both minimum and maximum values obtained using different estimation functions.

SM2A: This contains data and results on 3 statistical tests performed on wheat to evaluate the magnitude of eventual differences in crop residue (CR) estimates resulting from the use of the most commonly reported functions for CR estimation. For further details please see Karan and Hamelin (2021).

SM3A: This contains an example sheet for estimating residue from wheat cereal (straw) at the French departmental level using different estimation functions. The data on crop production and surface area can be replaced by other data to get wheat residue yield for other areas.

Reference:

Karan, SK and Hamelin, L. (2021). Crop residues may be a key feedstock to bioeconomy but how reliable are current estimation methods? Resources, Conservation & Recycling. 164 (105211).

本数据集所呈现的内容是对我们出版物《农作物残留物或许是生物经济的关键原料，然而当前的估算方法是否可靠？》的补充。数据集包含了对17种农作物在法国部门级别上的农作物残留量估算的经过处理的数据。农作物产量和面积的原始数据来源于Agreste（官方法国农业统计）。以下是对数据集的详细描述：

SM1A：该部分包含从2000年至2018年的19年数据，涵盖了17种农作物的产量和面积，以及使用不同函数估算的残留量。关于所使用函数的更多详细信息，可参考Karan和Hamelin（2021年）的研究。数据还经过综合处理，以报告这些残留物在法国部门及区域级别的理论能量潜力。理论潜力以使用不同估算函数获得的最小值和最大值的形式呈现。

SM2A：该部分包含对小麦进行的3个统计测试的数据和结果，以评估使用最常报道的农作物残留量估算函数时，农作物残留量（CR）估算可能产生的差异程度。更多细节请参阅Karan和Hamelin（2021年）的研究。

SM3A：该部分提供了一个示例表格，用于使用不同的估算函数在法国部门级别估算小麦谷物（秸秆）的残留量。农作物产量和面积的数据可以被其他数据替代，以获取其他地区的 wheat residue yield。

参考文献：

Karan, SK 和 Hamelin, L. (2021). 农作物残留物或许是生物经济的关键原料，然而当前的估算方法是否可靠？资源、保存与回收。164 (105211)。