新的北半球多年冻土图利用基于规则的GIS模型融合了新的多年冻土范围、气候条件、植被结构、土壤和地形条件以及富冰和富含有机质多年冻土图（yedoma）。与之前的多年冻土图不同，根据多年冻土与气候和生态系统的复杂交互作用，我们将北半球多年冻土分为五种类型：气候驱动型、气候驱动型/生态系统改造型、气候驱动型/生态系统保护型、生态系统驱动型和生态系统保护型。除去冰川和湖泊，北半球这五种类型的面积分别为3.66×106km²、8.06×106km²、0.62×106km²、5.79×106km²和1.63×106km²。北半球81%的多年冻土区受到生态系统的改造、驱动或保护，表明生态系统在北半球多年冻土稳定性中的主导作用。气候驱动的多年冻土只占北半球多年冻土区的19%，主要分布在高北极和高山地区，如青藏高原。
", "ds_source": "多年冻土范围来源于最新研发的北半球1 km分辨率的多年冻土范围（Ran et al., 2022）；气候条件、植被结构、土壤和地形条件以及富冰和富含有机质多年冻土图（yedoma）数据来源于主流数据库，具体参见论文（Ran et al., 2021）。
", "ds_process_way": "基于规则的GIS决策方法，综合目前新的多年冻土范围、气候条件、植被结构、土壤和地形条件以及富冰和富含有机质多年冻土图，生产了全球第一个考虑气候-生态系统敏感性的多年冻土生物物理分区图。
", "ds_quality": "数据质量良好。
", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2016-12-31 00:00:00", "ds_acq_place": "北半球", "ds_acq_lon_east": 180.0, "ds_acq_lat_south": 25.0, "ds_acq_lon_west": -180.0, "ds_acq_lat_north": 85.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 84947171, "ds_files_count": 12, "ds_format": "shp", "ds_space_res": "1000", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "dfef9e70-a31a-484d-b079-5d6e0e1e2b0e.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "用户在使用数据时请在正文中明确注明数据的来源，并在参考文献部分引用本元数据提供的引用方式。", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.11888/Geocry.tpdc.271659", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2022-01-05 09:45:28", "last_updated": "2026-03-11 10:06:24", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.db2500.2022", "i18n": { "en": { "title": "Biophysical permafrost map indicates ecosystem processes dominate permafrost stability in the Northern Hemisphere", "ds_format": "shp", "ds_source": "The permafrost range is derived from the newly developed 1 km resolution permafrost range in the northern hemisphere (ran et al., 2022); the data of climatic conditions, vegetation structure, soil and topographic conditions, ice rich and organic matter rich permafrost map (yedoma) are derived from the mainstream database. For details, see the paper (ran et al., 2021).
", "ds_quality": "The data quality is good.
", "ds_ref_way": "", "ds_abstract": "The new permafrost map of the northern hemisphere uses a rule-based GIS model to integrate the new permafrost range, climate conditions, vegetation structure, soil and topographic conditions, as well as ice rich and organic matter rich permafrost map (yedoma). Different from the previous permafrost map, according to the complex interaction between permafrost and climate and ecosystem, we divide the permafrost in the northern hemisphere into five types: climate driven, climate driven / ecosystem modification, climate driven / ecosystem protection, ecosystem driven and ecosystem protection. Excluding glaciers and lakes, the areas of these five types in the northern hemisphere are 3.66 respectively × 106km²、 eight point zero six × 106km²、 zero point six two × 106km²、 five point seven nine × 106km² And 1.63 × 106km²。 81% of the permafrost areas in the northern hemisphere are transformed, driven or protected by ecosystems, indicating that ecosystems play a leading role in the stability of permafrost in the northern hemisphere. Climate driven permafrost accounts for only 19% of the permafrost area in the northern hemisphere, mainly distributed in high Arctic and alpine areas, such as the Qinghai Tibet Plateau.
", "ds_time_res": "", "ds_acq_place": "Northern Hemisphere", "ds_space_res": "1000", "ds_projection": "", "ds_process_way": "Based on the rule-based GIS decision-making method, the world's first biophysical zoning map of permafrost considering climate ecosystem sensitivity is produced by integrating the current new permafrost range, climate conditions, vegetation structure, soil and topographic conditions, as well as ice rich and organic matter rich permafrost maps.
", "ds_ref_instruction": "When users use data, please clearly indicate the source of the data in the main text and cite the citation provided by this metadata in the reference section." } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "多年冻土", "生态系统", "气候" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "北半球" ], "ds_time_tags": [ 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016 ], "ds_contributors": [ { "true_name": "冉有华", "email": "ranyh@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": "冉有华", "email": "ranyh@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": "冉有华", "email": "ranyh@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": "冻土" }