土壤有机碳(SOC)是第三极脆弱生态环境的重要组成部分；然而，土壤有机碳的空间分布数据仍然稀少且不确定。本研究基于多个环境变量和458个坑(深度0-1 m)和114个岩心(深度0-3 m)的土壤剖面数据，采用机器学习方法评估了第三极冻土区不同土壤深度(0-30 cm、0-50 cm、0-100 cm、0-200 cm和0-300 cm)土壤有机碳的储量和空间分布。本研究结果为第三极地区1 km2范围内土壤有机碳的储存、模式和环境控制信息，从而为未来有关地球系统模型的研究提供了科学依据。
\n土壤有机碳数据以网格形式存储，文件名为“TP-SOC-d.tif”，其中d表示土壤深度，如“TP-SOC-30.tif”表示30 cm深度区间第三极地区土壤有机碳储量的空间分布。", "ds_source": "
计算机模拟获得。", "ds_process_way": "
结合高分辨率遥感数据和插值气象数据，采用3种机器学习方法评估了第三极冻土区不同土壤深度（0-30 cm、0-50 cm、0-100 cm、0-200 cm和 0-300 cm）的 SOC 储量和空间分布。", "ds_quality": "
数据质量较好。", "ds_acq_start_time": "2009-01-01 00:00:00", "ds_acq_end_time": "2011-12-31 00:00:00", "ds_acq_place": "第三极地区", "ds_acq_lon_east": 105.0, "ds_acq_lat_south": 25.0, "ds_acq_lon_west": 70.0, "ds_acq_lat_north": 45.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 61633919, "ds_files_count": 2, "ds_format": "TIFF", "ds_space_res": "1000", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "30806f2c-f7d9-4237-8568-12e35f0ef65d.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.50" ], "quality_level": 3, "publish_time": "2023-07-25 10:55:29", "last_updated": "2026-01-14 11:05:50", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB3964.2023", "i18n": { "en": { "title": "Soil organic carbon distribution for 0–3 m soils at 1 km2scale of the frozen ground in the Third Pole Regions", "ds_format": "TIFF", "ds_source": "
Obtained through computer simulation.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
Soil organic carbon (SOC) is very important in the vulnerable ecological environment of the Third Pole; however, data regarding the spatial distribution of SOC are still scarce and uncertain. Based on multiple environmental variables and soil profile data from 458 pits (depth of 0–1 m) and 114 cores (depth of 0–3 m), this study uses a machine-learning approach to evaluate the SOC storage and spatial distribution at different soil depths (0–30 cm, 0–50 cm, 0–100 cm, 0–200 cm, and 0–300 cm) in the frozen ground area of the Third Pole region. Our results provide information on the storage, patterns, and environmental controls of SOCSs at a 1 km2 scale for areas of frozen ground in the Third Pole region, thus providing a scientific basis for future studies pertaining to Earth system models.\n
\nSoil organic carbon data is stored in grids format, and the file name is \"TP-SOC-d.tif\", where d represents soil depth, for example, \"TP-SOC-30.tif\" represents the spatial distribution of soil organic carbon stocks in the Third Pole regions of the upper 30 cm depth interval.
", "ds_time_res": "", "ds_acq_place": "Third polar region", "ds_space_res": "1000", "ds_projection": "", "ds_process_way": "Combined with high-resolution remote sensing data and interpolated meteorological data, three machine learning methods were used to evaluate SOC reserves and spatial distribution at different soil depths (0-30 cm, 0-50 cm, 0-100 cm, 0-200 cm and 0-300 cm) in the third polar permafrost region.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "土壤有机碳", "SOC 储量", "第三极地区", "土壤剖面", "土壤深度" ], "ds_subject_tags": [ "地质学" ], "ds_class_tags": [], "ds_locus_tags": [ "第三极地区" ], "ds_time_tags": [ 2009, 2010, 2011 ], "ds_contributors": [ { "true_name": "吴通华", "email": "thuawu@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院，青藏高原冰冻圈研究站, 冰冻圈科学国家重点实验室, ", "country": "中国" }, { "true_name": "吴晓东", "email": "wxd565@163.com", "work_for": "中国科学院西北生态环境与资源研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "吴通华", "email": "thuawu@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院，青藏高原冰冻圈研究站, 冰冻圈科学国家重点实验室, ", "country": "中国" } ], "ds_managers": [ { "true_name": "吴晓东", "email": "wxd565@163.com", "work_for": "中国科学院西北生态环境与资源研究所", "country": "中国" } ], "category": "冻土" }