原始数据来源于世界土壤参比与信息中心（ISRIC）制作的世界土壤属性数据库WISE30sec（N.H. Batjes, 2016; DOI:10.1016/j.geoderma.2016.01.034）。土壤类型GIS数据集的创建使用了HWSD1.21版的土壤地图单元，并进行了少量修正，同时叠加了气候分区地图(Köppen-Geiger)作为分类协变量，土壤属性数据来自ISRIC-WISE土壤剖面数据库，包含21000个土壤剖面。与HWSD1.2数据库相比，WISE30sec对土壤属性的不确定性进行了量化（标准差），增加了4种土壤属性，土壤分层更细：0-20cm、20-40cm、40-60cm、60-80cm、80-100cm、100-150cm、150-200cm。原始WISE30sec土壤数据库主要包括土壤类型栅格文件（wise_30sec_v1.tif）和土壤属性Access数据库文件（WISE30sec.mdb）。\n\n
为了方便原始数据的使用，我们在R语言中重新读取WISE30sec.mdb文件，获取20种土壤属性及其不确定性（标准差）属性表，采用土壤类型连接法（Linkage method），以NEWSUID为标识，将各土壤属性数据连接至土壤类型栅格文件wise_30sec_v1.tif，采用分区并行计算的思路，最后合并输出为GeoTIFF文件，并裁剪至中国区域。本数据集共包含20种土壤属性及其标准差，分7层，共280个栅格文件。文件命名规则：“BULK_std_0-20cm.tif”，BULK表示土壤容重，std表示土壤容重的不确定性（标准差），0-20cm表示土壤深度。本数据集可直接用于资源环境评价及不同来源土壤产品对比融合，并为水文、生物地球化学、陆面过程等模型驱动提供输入参数，服务于生态农业分区和粮食安全。", "ds_source": "
世界土壤参比与信息中心（ISRIC-World Soil Information）WISE30sec土壤数据库（Batjes NH，2016）。", "ds_process_way": "
土壤类型连接法（Linkage method）
\n在R语言中重新读取WISE30sec.mdb文件，对原始数据数据库文件中不同深度土壤属性进行整理，获取20种土壤属性及其不确定性（标准差std）属性表，采用土壤类型连接法（Linkage method），以NEWSUID为标识，将7个深度的土壤属性数据分别连接至土壤类型栅格文件wise_30sec_v1.tif，采用分区并行计算的思路，进行数据类型转换，最后合并输出为GeoTIFF文件，并裁剪至中国区域（代码附后）。
", "ds_quality": "数据质量良好，各变量含义如下：
\nCFRAG 直径大于2mm砾石含量(%，体积百分比)
\nCFRAG STD 直径大于2mm砾石含量标准差(%，体积百分比)
\nSDTO 砂粒含量(%，质量百分比)
\nSDTO STD 砂粒含量标准差(%，质量百分比)
\nSTPC 粉粒含量(%，质量百分比)
\nSTPC STD 粉粒含量标准差(%，质量百分比)
\nCLPC 黏粒含量(%，质量百分比)
\nCLPC STD 黏粒含量标准差(%，质量百分比)
\nBULK 容重(g cm-3)
\nBULK STD 容重标准差(g cm-3)
\nTAWC 土壤有效含水量(cm m-1)
\nTAWC STD 土壤有效含水量标准差(cm m-1)
\nCECs 土壤阳离子交换量(cmolc kg-1)
\nCECs STD 土壤阳离子交换量标准差(cmolc kg-1)
\nTEB 土壤交换性盐基总量(cmolc kg-1)
\nTEB STD 土壤交换性盐基总量标准差(cmolc kg-1)
\nBSAT 土壤盐基饱和度(%)
\nBSAT STD 土壤盐基饱和度标准差(%)
\nCECc 土壤黏土颗粒阳离子交换量(cmolc kg-1)
\nCECc STD 土壤黏土颗粒阳离子交换量标准差(cmolc kg-1)
\nECEC 土壤有效阳离子交换量(cmolc kg-1)
\nECEC STD 土壤有效阳离子交换量标准差(cmolc kg-1)
\nESP 土壤交换性钠占CEC百分比(%)
\nESP STD 土壤交换性钠占CEC百分比标准差(%)
\nALSA 土壤交换性铝(占ECEC比例, %)
\nALSA STD 土壤交换性铝(占ECEC比例, %)标准差
\nPHAQ 土壤pH (水浸提)
\nPHAQ STD 土壤pH标准差
\nTCEQ 土壤无机碳含量(g C kg-1)
\nTCEQ STD 土壤无机碳含量标准差(g C kg-1)
\nGYPS 土壤石膏含量(g C kg-1)
\nGYPS STD 土壤石膏含量标准差(g C kg-1)
\nELCO 土壤电导率(dS m-1)
\nELCO STD 土壤电导率标准差
\nORGC 土壤有机碳含量(g C kg-1)
\nORGC STD 土壤有机碳含量标准差(g C kg-1)
\nTOTN 土壤全氮含量(g kg-1)
\nTOTN STD 土壤全氮含量标准差(g kg-1)
\nCNrt 土壤碳氮比
\nCNrt STD 土壤碳氮比标准差
", "ds_acq_start_time": "1950-02-01 00:00:00", "ds_acq_end_time": "2015-10-01 00:00:00", "ds_acq_place": "全球", "ds_acq_lon_east": 155.15, "ds_acq_lat_south": 17.3, "ds_acq_lon_west": 42.7, "ds_acq_lat_north": 72.7, "ds_acq_alt_low": null, "ds_acq_alt_high": 8848.0, "ds_share_type": "login-access", "ds_total_size": 9790938129, "ds_files_count": 295, "ds_format": "GeoTiff", "ds_space_res": "1km", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "无", "ds_thumbnail": "3e5ce7b6-5989-45f5-84de-8b8ac61f4191.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "8fa8eec3-a891-44cd-b60e-f6af19a16bba", "ds_serv_man": "朱猛", "ds_serv_phone": "18794210717", "ds_serv_mail": "zhumeng@lzb.ac.cn", "doi_value": "10.12072/ncdc.qlsst.db2702.2023", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2023-01-24 15:40:44", "last_updated": "2025-04-14 11:59:31", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.QLSST.DB2702.2023", "i18n": { "en": { "title": "The grid Data of soil properties based on WISE30sec", "ds_format": "GeoTiff", "ds_source": "WISE30sec soil database of International Soil Reference and Information Centre (ISRIC)（Batjes NH，2016）.\n
\n", "ds_quality": "The data are in good quality and the meanings of the variables are as follows:\n
\nCFRAG Gravel content greater than 2mm diameter (%, % by volume)
\nCFRAG STD Standard deviation of gravel content >2mm diameter (% by volume)
\nSDTO Sand content (% by mass)
\nSDTO STD Standard deviation of sand content (% by mass)
\nSTPC Fines content (% by mass)
\nSTPC STD Standard deviation of fines content (% by mass)
\nCLPC Clay content (% by mass)
\nStandard deviation of CLPC STD mucilage content (% by mass)
\nBULK Bulk weight (g cm-3)
\nBULK STD Standard deviation of bulk weight (g cm-3)
\nTAWC Effective soil water content (cm m-1)
\nTAWC STD Standard deviation of effective soil water content (cm m-1)
\nCECs Soil cation exchange capacity (cmolc kg-1)
\nCECs STD Soil cation exchange standard deviation (cmolc kg-1)
\nTEB Total soil exchangeable salt group (cmolc kg-1)
\nTEB STD Standard deviation of total soil exchangeable salts (cmolc kg-1)
\nBSAT Soil salinity saturation (%)
\nBSAT STD Standard deviation of soil salinity saturation (%)
\nCECc Cation exchange capacity of soil clay particles (cmolc kg-1)
\nCECc STD Standard deviation of cation exchange of soil clay particles (cmolc kg-1)
\nECEC Effective cation exchange capacity of soil (cmolc kg-1)
\nECEC STD Standard deviation of effective cation exchange in soil (cmolc kg-1)
\nESP Soil exchangeable sodium as a percentage of CEC (%)
\nESP STD Soil exchangeable sodium as a percentage of CEC standard deviation (%)
\nALSA Soil exchangeable aluminium (% of ECEC)
\nALSA STD Soil exchangeable aluminium (% of ECEC) Standard deviation
\nPHAQ Soil pH (water leaching)
\nPHAQ STD Soil pH standard deviation
\nTCEQ Soil inorganic carbon content (g C kg-1)
\nTCEQ STD Standard deviation of soil inorganic carbon content (g C kg-1)
\nGYPS Soil gypsum content (g C kg-1)
\nGYPS STD Standard deviation of soil gypsum content (g C kg-1)
\nELCO Soil conductivity (dS m-1)
\nELCO STD Standard deviation of soil conductivity
\nORGC Soil organic carbon content (g C kg-1)
\nORGC STD Standard deviation of soil organic carbon content (g C kg-1)
\nTOTN Total soil nitrogen content (g kg-1)
\nTOTN STD Standard deviation of total soil nitrogen content (g kg-1)
\nCNrt Soil carbon to nitrogen ratio
\nCNrt STD Standard deviation of soil carbon to nitrogen ratio
", "ds_ref_way": "", "ds_abstract": "The original data were obtained from the world soil properties database WISE30sec produced by the International Soil Reference and Information Centre (ISRIC) (N.H. Batjes, 2016; DOI:10.1016/j.geoderma.2016.01.034). The soil type GIS dataset was created using the HWSD (version 1.21) soil map units with minor corrections and overlaying world map of Köppen-Geiger classification climate as classification covariates, and soil properties data is from the ISRIC-WISE soil profile database, containing 21,000 soil profiles.Compared to the HWSD (v1.2)database, WISE30sec quantifies the uncertainty in soil properties (standard deviation) by adding four soil properties with a finer soil stratification: 0-20cm, 20-40cm, 40-60cm, 60-80cm, 80-100cm, 100-150cm, 150-200cm.The original WISE30sec soil database mainly comprises the soil type raster file (wise_30sec_v1.tif) and the soil properties Access database file (WISE30sec.mdb).
\nTo be easier to use the original data, we re-read the WISE30sec.mdb file in R language, obtained the 20 soil properties and their uncertainty (standard deviation) attribute tables, used the soil type linkage method (Linkage method) to link each soil property data to the soil type raster file wise_30sec_ v1.tif with NEWSUID as the identifier, using the idea of partitioned parallel calculation, and finally merging the output into GeoTIFF files and clipping them by China area.This dataset contains a total of 20 soil properties and their standard deviations in 7 layers, with 280 raster files. File naming rules: \"BULK_std_0-20cm.tif\", BULK means soil capacity, std means uncertainty of soil capacity (standard deviation), 0-20cm means soil depth. This dataset can be used for resource and environmental assessment directly and comparative fusion of soil products from different sources, and provides input parameters for model-driven hydrological, biogeochemical and land surface processes, serving ecological agricultural zoning and food security.
", "ds_time_res": "", "ds_acq_place": "Global", "ds_space_res": "1km", "ds_projection": "", "ds_process_way": "Linkage method
\nRe-read the WISE30sec.mdb file in R language, collate the soil properties at different depths in the original data database file, obtain a table of 20 soil properties and their uncertainty (standard deviation, std) properties, use the soil type linkage method (Linkage method) to link the soil property data at each of the 7 depths with the NEWSUID as the identifier to Soil type raster file wise_30sec_v1.tif, using the idea of partitioning parallel computing, performing data type conversion, and finally merging the output into a GeoTIFF file and clipping it to the China region (code attached).
\n", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "土壤数据库", "土壤", "WISE30sec" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "全球" ], "ds_time_tags": [ 2000 ], "ds_contributors": [ { "true_name": "朱猛", "email": "zhumeng@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "刘蔚", "email": "weiliu@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "张举涛", "email": "jutzhang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "薛媛媛", "email": "xueyuanyuan@nieer.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "张成琦", "email": "chengqizhang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "冯起", "email": "qifeng@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "朱猛", "email": "zhumeng@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "张成琦", "email": "chengqizhang@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "生态" }