Gridded 5-arcmin, simultaneously farm-size- and crop-specific harvested area for 56 countries
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There are over 608 million farms around the world but they are not the same. We developed high spatial resolution maps telling where small and large farms were located and which crops were planted for 56 countries. We checked the reliability and have the confidence to use them for the country-level and global studies. Our maps will help more studies to easily measure how agriculture policies, water availabilities, and climate change affect small and large farms respectively. The code, source data, and the simultaneously farm size- and crop-specific harvested area, including the GAEZ based downscaled map and SPAM based downscaled map, are open-access, free, and available, which could be found below. The downscaled maps are available in *.csv files for each crop and farming system. Each *.csv file provides the grid cell index, administrative unit index, crop name, farm size, harvested area, and x and y coordinates in the projection of WGS84. File name of maps *.csv: [spam/gaez]_[crop name]_[farming system]<br> [spam/gaez]: SPAM-based or GAEZ based map<br> [crop name]:crop name<br> [farming system]: 'i':irrigation; 'r' rainfed; 'l' low-input rainfed; 'h' high-input rainfed; 's' rainfed in subsistence conditions Example: gaez_maize_i.csv, the farm-size specific harvested area of irrigated maize based on the crop map of GAEZv4. Variables included in maps *.csv:<br> grid: the grid index<br> shpid: the polygon id in Ricciardi's dataset<br> spam_crop/gaez_crop: crop name defined in SPAM2010 or GAEZv4 classification system<br> fs_class_min: lower bound of each farm size class, -1 means no farm size information is available in Ricciardi's dataset<br> ha: harvested area (ha)<br> x, y: the lat-lon coordinate in the projection WGS84 Note: please cite the original publications/sources if any data source based on which this dataset was developed is reused for your own study. SPAM2010: Yu, Q., You, L., Wood-Sichra, U., Ru, Y., Joglekar, A. K. B., Fritz, S., Xiong, W., Lu, M., Wu, W., and Yang, P.: A cultivated planet in 2010 – Part 2: The global gridded agricultural-production maps, Earth System Science Data, 12, 3545-3572, 10.5194/essd-12-3545-2020, 2020. GAEZ v4: FAO and IIASA: Global Agro Ecological Zones version 4 (GAEZ v4), FAO UN, Rome, Italy, 2021 Ricciardi's dataset: Ricciardi, V., Ramankutty, N., Mehrabi, Z., Jarvis, L., and Chookolingo, B.: How much of the world's food do smallholders produce?, Global Food Security, 17, 64-72, 2018. The global dominant field size dataset: Lesiv, M., Laso Bayas, J. C., See, L., Duerauer, M., Dahlia, D., Durando, N., Hazarika, R., Kumar Sahariah, P., Vakolyuk, M., Blyshchyk, V., Bilous, A., Perez-Hoyos, A., Gengler, S., Prestele, R., Bilous, S., Akhtar, I. U. H., Singha, K., Choudhury, S. B., Chetri, T., Malek, Z., Bungnamei, K., Saikia, A., Sahariah, D., Narzary, W., Danylo, O., Sturn, T., Karner, M., McCallum, I., Schepaschenko, D., Moltchanova, E., Fraisl, D., Moorthy, I., and Fritz, S.: Estimating the global distribution of field size using crowdsourcing, Glob Chang Biol, 25, 174-186, 10.1111/gcb.14492, 2019. GLC-Share: Latham, J., Cumani, R., Rosati, I., and Bloise, M.: Global land cover share (GLC-SHARE) database beta-release version 1.0-2014, FAO, Rome, Italy, 2014. CAAS-IFPRI cropland extent map: Lu, M., Wu, W., You, L., See, L., Fritz, S., Yu, Q., Wei, Y., Chen, D., Yang, P., and Xue, B.: A cultivated planet in 2010 – Part 1: The global synergy cropland map, Earth System Science Data, 12, 1913-1928, 10.5194/essd-12-1913-2020, 2020.
全球现有超6.08亿个农场，且各农场间存在显著异质性。本研究针对56个国家开发了高空间分辨率地图，可精准标注大、小型农场的空间分布与对应种植的作物类型。我们已对该数据集的可靠性开展验证工作，确信其可用于国家级乃至全球尺度的相关研究。本数据集的地图将助力后续研究便捷量化农业政策、水资源可获取性以及气候变化分别对大、小型农场产生的影响。 本研究公开了代码、源数据以及同步生成的分农场规模、分作物的收获面积数据，其中包含基于全球农业生态区划（Global Agro-Ecological Zones, GAEZ）的降尺度地图与基于全球农业生产地图集（Spatial Production Allocation Model, SPAM）的降尺度地图，所有资源均为免费开放获取，可在下方获取。 降尺度地图以*.csv格式文件提供，覆盖所有作物与种植系统。每个*.csv文件包含网格单元索引、行政单元索引、作物名称、农场规模、收获面积以及WGS84投影下的x、y坐标。csv文件命名规则为：[spam/gaez]_[作物名称]_[种植系统缩写]。其中： - [spam/gaez]：代表基于SPAM或GAEZ的地图； - [作物名称]：即对应种植的作物名称； - [种植系统缩写]：'i'代表灌溉（irrigation）；'r'代表雨养（rainfed）；'l'代表低投入雨养（low-input rainfed）；'h'代表高投入雨养（high-input rainfed）；'s'代表生计型雨养（rainfed in subsistence conditions）。 示例：gaez_maize_i.csv，即基于GAEZv4作物地图生成的灌溉玉米分农场规模收获面积数据。 csv文件包含的变量如下： - grid：网格索引； - shpid：Ricciardi数据集（Ricciardi's dataset）中的多边形ID； - spam_crop/gaez_crop：SPAM2010或GAEZv4分类体系中定义的作物名称； - fs_class_min：各农场规模等级的下限值，-1代表Ricciardi数据集中无对应农场规模信息； - ha：收获面积（单位：公顷，ha）； - x, y：WGS84投影下的经纬度坐标。 注意：若您的研究复用了本数据集所基于的任一数据源，请引用对应的原始文献或数据源。 SPAM2010：Yu, Q., You, L., Wood-Sichra, U., Ru, Y., Joglekar, A. K. B., Fritz, S., Xiong, W., Lu, M., Wu, W., and Yang, P.: "A cultivated planet in 2010 – Part 2: The global gridded agricultural-production maps", Earth System Science Data, 12, 3545-3572, 10.5194/essd-12-3545-2020, 2020. GAEZ v4：联合国粮食及农业组织（Food and Agriculture Organization of the United Nations, FAO）与国际应用系统分析研究所（International Institute for Applied Systems Analysis, IIASA）：Global Agro Ecological Zones version 4 (GAEZ v4), FAO UN, Rome, Italy, 2021. Ricciardi数据集：Ricciardi, V., Ramankutty, N., Mehrabi, Z., Jarvis, L., and Chookolingo, B.: "How much of the world's food do smallholders produce?", Global Food Security, 17, 64-72, 2018. 全球优势田块规模数据集：Lesiv, M., Laso Bayas, J. C., See, L., Duerauer, M., Dahlia, D., Durando, N., Hazarika, R., Kumar Sahariah, P., Vakolyuk, M., Blyshchyk, V., Bilous, A., Perez-Hoyos, A., Gengler, S., Prestele, R., Bilous, S., Akhtar, I. U. H., Singha, K., Choudhury, S. B., Chetri, T., Malek, Z., Bungnamei, K., Saikia, A., Sahariah, D., Narzary, W., Danylo, O., Sturn, T., Karner, M., McCallum, I., Schepaschenko, D., Moltchanova, E., Fraisl, D., Moorthy, I., and Fritz, S.: "Estimating the global distribution of field size using crowdsourcing", Glob Chang Biol, 25, 174-186, 10.1111/gcb.14492, 2019. GLC-SHARE：Latham, J., Cumani, R., Rosati, I., and Bloise, M.: "Global land cover share (GLC-SHARE) database beta-release version 1.0-2014", FAO, Rome, Italy, 2014. CAAS-IFPRI耕地范围地图：Lu, M., Wu, W., You, L., See, L., Fritz, S., Yu, Q., Wei, Y., Chen, D., Yang, P., and Xue, B.: "A cultivated planet in 2010 – Part 1: The global synergy cropland map", Earth System Science Data, 12, 1913-1928, 10.5194/essd-12-1913-2020, 2020.
