Ricciardi Vincent, Ramankutty Navin, Mehrabi Zia, Jarvis Larissa, Chookolingo Brenton
The Institute for Resources, Environment, and Sustainability, University of British Columbia, Canada.
School of Public Policy and Global Affairs, University of British Columbia, Canada.
Data Brief. 2018 Jun 23;19:1970-1988. doi: 10.1016/j.dib.2018.06.057. eCollection 2018 Aug.
This dataset is a cross-country convenience sample of primary data measuring crop production and/or area by farm size for 55 countries that underlies the article entitled "How much of the world׳s food do smallholders produce?" (DOI: https://doi.org/10.1016/j.gfs.2018.05.002). The harmonized dataset is nationally representative with subnational resolution, sourced from agricultural censuses and household surveys. The dataset covers 154 crop species and 11 farm size classes, and is ontologically interoperable with other global agricultural datasets, such as the Food and Agricultural Organization׳s statistical database (FAOSTAT), and the World Census of Agriculture (WCA). The dataset includes estimates of the quantity of food, feed, processed agricultural commodities, seed, waste (post-harvest loss), or other uses; and potential human nutrition (i.e., kilocalories, fats, and proteins) generated by each farm size class. We explain the details of the dataset, the inclusion criteria used to assess each data source, the data harmonization procedures, and the spatial coverage. We detail assumptions underlying the construction of this dataset, including the use of aggregate field size as a proxy for farm size in some cases, and crop species omission biases resulting from converting local species names to harmonized names. We also provide bias estimates for commonly used methods for estimating food production by farm size: use of constant yields across farm size classes when crop production is not available, and relying on nationally representative household sample surveys that omitted non-family farms. Together this dataset represents the most complete empirically grounded estimate of how much food and nutrition smallholder farmers produce from crops.
该数据集是一个跨国便利样本,包含55个国家按农场规模衡量作物产量和/或种植面积的原始数据,是题为《小农户生产了世界上多少粮食?》(DOI:https://doi.org/10.1016/j.gfs.2018.05.002)一文的基础数据。该统一数据集具有国家代表性且具有次国家分辨率,数据来源于农业普查和住户调查。该数据集涵盖154种作物品种和11个农场规模类别,并且在本体论上可与其他全球农业数据集互操作,如联合国粮食及农业组织的统计数据库(FAOSTAT)和世界农业普查(WCA)。该数据集包括对粮食、饲料、加工农产品、种子、废弃物(收获后损失)或其他用途的数量估计;以及每个农场规模类别产生的潜在人类营养(即千卡、脂肪和蛋白质)。我们解释了数据集的详细情况、用于评估每个数据源的纳入标准、数据统一程序以及空间覆盖范围。我们详细说明了构建此数据集所依据的假设,包括在某些情况下使用总田间面积作为农场规模的替代指标,以及将当地作物品种名称转换为统一名称时导致的作物品种遗漏偏差。我们还提供了按农场规模估计粮食产量的常用方法的偏差估计:在没有作物产量数据时对各农场规模类别使用恒定产量,以及依赖于遗漏非家庭农场的具有国家代表性的住户抽样调查。总之,该数据集代表了对小农户从作物生产中产出多少粮食和营养的最完整的基于实证的估计。