中文摘要：

植被分类模型在学习陆上的生态系统的反应到全球气候变化起一个重要作用。在这份报纸，我们用全面顺序的分类系统(CSCS ) 途径在全球潜在的自然植被(PNV ) 分布学习变化，联合地理信息系统的一种技术。结果显示在全球规模上，在 CSCS 方法和全球性接受得好的 Holdridge 生活地区(HLZ ) 生产的地图之中有好协议， BIOME4 PNV 当模特儿。CSCS 途径模仿的潜在的植被在北半球有 6 个主要纬度的地区并且 2 在南部的半球。在多山的区域，它由于地志的效果有明显的高度的分发特征。为在各种各样的时期的不同 PNV 班的分发程度有不同特征。它有一个减少的趋势因为冻土带和高山的大草原，沙漠，亚热带的森林和热带森林范畴，和为适度的森林和草地植被范畴的一个增加的趋势。全球基于 CSCS 的 PNV 班的模拟帮助理解气候植被关系并且揭示全球变化导致的潜在的植被分布的动力学。与存在相比统计并且平衡模型， CSCS 途径为全球 PNV 提供类似的印射的结果并且有草地班的改进模拟的优点。

英文摘要：

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 Se- quential 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 char- acteristics. 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 clas- ses 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.