Changes in global potential vegetation distributions from 1911 to 2000 as simulated by the Comprehensive Sequential Classification System approach

作     者：LIANG TianGang FENG QiSheng CAO JianJun XIE HongJie LIN HuiLong ZHAO Jun REN JiZhou 

作者机构：State Key Laboratory of Grassland Agro-ecosystemsCollege of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhou 770020 China State Key Laboratory for Information Engineering in SurveyingMapping and Remote SensingWuhan UniversityWuhan 430079China Basic Geographic Information Center of Gansu ProvinceLanzhou 730000China University of Texas at San AntonioDepartment of Geological SciencesLaboratory for Remote Sensing and GeoinformaticsSan AntonioTexas78249USA College of Geography and Environmental ScienceNorthwest Normal UniversityLanzhou 730070China 

出 版 物：《Chinese Science Bulletin》 (Chinese Science Bulletin)

年 卷 期：2012年第57卷第11期

页      面：1298-1310页

核心收录：

学科分类：07[理学] 0713[理学-生态学] 

基　　金：supported by the National Natural Science Foundation of China (30972135 & 40961026) the Cultivation Fund of the Key Scientific and Technical Innovation Project, Ministry of Education of China (708089) 

主　　题：植被分布 分类系统 模拟 全球气候变化 亚热带森林 陆地生态系统 地理信息系统 高山草原 

摘      要：Vegetation classification models play an important role in studying the response of the terrestrial ecosystem to global climate change. In this paper, we study changes in global Potential Natural Vegetation (PNV) distributions using the Comprehensive Sequential Classification System (CSCS) approach, a technique that combines geographic information systems. Results indicate that on a global scale there are good agreements among maps produced by the CSCS method and the globally well-accepted Holdridge Life Zone (HLZ) and BIOME4 PNV models. The potential vegetation simulated by the CSCS approach has 6 major latitudinal zones in the northern hemisphere and 2 in the southern hemisphere. In mountainous areas it has obvious altitudinal distribution characteristics due to topographic effects. The distribution extent for different PNV classes at various periods has different characteristics. It had a decreasing trend for the tundra and alpine steppe, desert, sub-tropical forest and tropical forest categories, and an increasing trend for the temperate forest and grassland vegetation categories. The simulation of global CSCS-based PNV classes helps to understand climate-vegetation relationships and reveals the dynamics of potential vegetation distributions induced by global changes. Compared with existing statistical and equilibrium models, the CSCS approach provides similar mapping results for global PNV and has the advantage of improved simulation of grassland classes.