中国植被功能型图（1 km）
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植被功能型（PFT）是根据植物种的生态系统功能及其资源利用方式而对宠大的植物种进行的组合，每一种植被功能型共享相似的植物属性，是将植物种的多样性简化为植物功能和结构的多样性。植被功能型的概念受到生态学家特别是生态系统建模者的推崇。其基本假设是全球重要的生态系统动态可以通过有限的植被功能型表达和模拟。目前，植被功能型已被广泛用于生物地理模型、生物地球化学模型、陆面过程模型和全球动态植被模型，如美国国家大气研究中心（NCAR）的陆面过程模型已经将原来用土地覆盖信息变为应用植被功能型图（Bonan et al., 2002）。植被功能型已经被用于动态全球植被模型（DGVM）中，用以预测全球变化情景下生态系统结构与功能的变化。 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。 2、制图方法 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。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。
Vegetation Functional Types (PFTs) are groupings of a vast number of plant species based on their ecosystem functions and resource utilization patterns. Each PFT shares similar plant attributes, simplifying the diversity of plant species into the diversity of plant functions and structures. The concept of PFTs has been highly regarded by ecologists, particularly ecosystem modelers. Its fundamental hypothesis is that globally significant ecosystem dynamics can be represented and simulated using a limited set of PFTs. At present, PFTs have been widely used in biogeographic models, biogeochemical models, land surface models, and global dynamic vegetation models. For example, the land surface model developed by the U.S. National Center for Atmospheric Research (NCAR) has replaced the original land cover information with PFT maps (Bonan et al., 2002). PFTs have also been applied in Dynamic Global Vegetation Models (DGVMs) to predict changes in ecosystem structure and function under global change scenarios. Referring to the global PFT classification system, land cover types and PFTs are integrated in consideration of model requirements. 2. Mapping Methodology China’s 1-kilometer PFT map was produced by converting the MICLCover land cover map (Ran et al., 2009; Ran et al., 2012) using the climatic rules for land cover-PFT conversion proposed by Bonan et al. (2002). The MICLCover land cover map is a newly released land cover dataset that integrates multiple sources: the 2000 1:100,000-scale land use data of China, vegetation types from the *Vegetation Atlas of China* (1:1,000,000), the 1:100,000-scale glacier distribution map of China, the 1:1,000,000-scale marsh wetland map of China, and the MODIS 2001 land cover product (MOD12Q1). It adopts the IGBP land cover classification system. Evaluations have shown that it is likely the most accurate national 1-kilometer-scale land cover map currently available. The climate data used is the Chinese atmospheric forcing dataset developed by He et al. (2010), covering the period 1981–2008, with a spatial resolution of 0.1° and a temporal resolution of 3 hours. This is the national-scale climate dataset with the highest spatiotemporal resolution currently available in China, which integrates data from multiple sources: the Princeton Land Surface Model Forcing Data (Sheffield et al., 2006), GEWEX-SRB radiation data (Pinker et al., 2003), TRMM 3B42 and APHRODITE precipitation data, as well as observational data from 740 meteorological stations of the China Meteorological Administration.
