中国1公里植被功能型图是根据Bonan等（Bonan et al., 2002）提出的土地覆盖与植被功能型转换的气候规则，对MICLCover土地覆盖图(冉有华 等，2009；Ran et al., 2012)进行转换。MICLCover土地覆盖图是融合了2000年中国1：10万土地利用数据、中国植被图集（1：100万）的植被型、中国1：10万冰川分布图、中国1：100万沼泽湿地图和MODIS 2001年土地覆盖产品（MOD12Q1）的最新发布的土地覆盖数据，采用IGBP土地覆盖分类系统。评价显示，其可能是目前存在的全国1km尺度上精度最高的土地覆盖图。
\n气候数据利用何杰等(2010)发展的1981-2008年的空间分辨率为0.1度、时间分辨率为3小时的中国大气驱动数据，是我国现存的在全国尺度上具有最高时空分辨率的气候数据，该数据融合了Princeton 陆面模式驱动数据(Sheffield et al., 2006)、GEWEX-SRB 辐射数据(Pinker et al., 2003)、TRMM 3B42 和APHRODITE 降水数据以及中国气象局740个气象台站的观测数据。\n
根据RanYouhua等(2010)的评价结果，GLC2000在目前的全球土地覆盖数据集中，具有相对较高的精度，且其分类系统中没有混交林这一类，因此MICLCover土地覆盖图中的混交林利用GLC2000 (Bartholome and Belward, 2005; 徐文婷 等，2005)中的信息进行了替换。该数据可用于陆面过程模型等相关研究中。
", "ds_source": "2000年中国1：10万土地利用数据、中国植被图集（1：100万）的植被型、中国1：10万冰川分布图、中国1：100万沼泽湿地图和MODIS 2001年土地覆盖产品（MOD12Q1）的最新发布的土地覆盖数据
", "ds_process_way": "参考全球植被功能型分类体系，根据模型需求，将土地覆盖类型与植被功能型合并考虑，确定该数据的分类体系。
", "ds_quality": "评价显示，其可能是目前存在的全国1km尺度上精度最高的土地覆盖图。
", "ds_acq_start_time": "2010-01-01 00:00:00", "ds_acq_end_time": "2010-12-31 00:00:00", "ds_acq_place": "中国", "ds_acq_lon_east": 135.5, "ds_acq_lat_south": 17.75, "ds_acq_lon_west": 73.19972222222222, "ds_acq_lat_north": 53.86638888888889, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 9994612, "ds_files_count": 3, "ds_format": "矢量", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "+proj=longlat +datum=WGS84 +no_defs ", "ds_thumbnail": "aa4460d1-b99a-4531-bd44-0d6509326762.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "用户在使用数据时请：首先在正文中明确声明数据的来源，并引用本元数据建议的参考文献。", "ds_from_station": null, "organization_id": "9c4867b1-5cb1-4de0-abeb-df42547bf41e", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967287", "ds_serv_mail": "westdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2020-04-08 11:19:56", "last_updated": "2026-06-26 15:45:48", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.Westdc.2020.632", "i18n": { "en": { "title": "Plant functional types map of China", "ds_format": "shp", "ds_source": "China's land use data of 1:100000 in 2000, vegetation type of China's Vegetation Atlas (1:1000000), China's Glacier distribution map of 1:100000, China's wetland map of 1:1000000 and the latest land cover data released by MODIS land cover product (mod12q1) in 2001
", "ds_quality": "The evaluation shows that it may be the most accurate land cover map on 1km scale in China.
", "ds_ref_way": "", "ds_abstract": "The 1km vegetation functional map of China is converted from the MICLCover land cover map (Ran Youhua et al., 2009; Ran et al., 2012) according to the climate rules for the conversion of land cover and vegetation functional map proposed by Bonan et al. (2002). MICLCover land cover map is a combination of China's 1:100000 land use data in 2000, vegetation types of China's vegetation atlas (1:1000000), China's 1:100000 glacier distribution map, China's 1:1000000 swamp wet map and the latest land cover data released by MODIS land cover products in 2001 (MOD12Q1), using IGBP land cover classification system. The evaluation shows that it may be the most accurate land cover map on the 1km scale in China
\nThe climate data in China, developed by He Jie et al. (2010) with a spatial resolution of 0.1 degrees and a temporal resolution of 3 hours from 1981 to 2008, is the highest spatiotemporal resolution climate data currently available in China at the national scale. This data integrates Princeton land surface model driven data (Sheffield et al., 2006), GEWEX-SRB radiation data (Pinker et al., 2003), and TRMM 3B42 and APHRODITE precipitation data, as well as the observation data of 740 meteorological stations of the China Meteorological Administration.\n
According to the evaluation results of RanYouhua et al. This data can be used in relevant research such as land surface process models
", "ds_time_res": "", "ds_acq_place": "China", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Referring to the global vegetation functional classification system, according to the needs of the model, the land cover type and the vegetation functional type are considered together to determine the classification system of the data.
", "ds_ref_instruction": "When using the data, users should first clearly declare the source of the data in the text and refer to the reference recommended by this metadata." } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 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, "belong_to_nieer": false, "ds_topic_tags": [ "Plant functional type", "植被", "生态模型", "植被功能型" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国" ], "ds_time_tags": [ 2000 ], "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": "李红星", "email": "lihongxing@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": "基础地理" }