植被是陆地生态系统的重要组成部分，在全球变化研究当中具有“ 指示器” 的作用。 植被吸收可以减缓大气 CO2 浓度增加， 因此在全球气候变化加剧和人类活动日益频繁 的背景下，研究植被吸收对大气 CO2 浓度的变化具有重要的现实意义。 但是， 在之前的 研究中， 主要是针对植被与大气 CO2 浓度变化特征进行的分析， 利用的遥感数据种类也 较少。不同的植被类型对大气 CO2 浓度的影响是不一样的， 而现今研究对于区域的影响 分析还不深刻。 本文在全球范围内选择六个典型区域，包含了森林、草原和耕地三种主要的类型。 收集使用 GOSAT 卫星的大气 CO2 数据集， MODIS 多种植被相关数据集、降水气象数 据集， 基于时空特征、时空相关性、滞后效应和年变化率等多角度细致分析了对森林、 草原和耕地三种主要的植被类型的碳吸收与大气 CO2 浓度变化的关系、空间格局，响应 机制，揭示了植被碳汇的分布与潜力。 利用时空相关分析，说明了研究区域的植被吸收与大气 CO2 浓度的时空变化特征； 通过对不同植被参数的对比分析， 指出了描述区域植被吸收对大气 CO2 浓度影响的最佳 植被参数，这将对后续相关研究中植被参数的选取上有重要的参考价值。 同时通过对植 被吸收与大气 CO2 浓度的季节变化情况分析，发现了植被吸收对大气 CO2 浓度变化具有 滞后性，这种滞后性是由于区域大气传输作用导致的，滞后时期越长，说明该区域的大 气传输较慢，本地植被吸收对大气 CO2 浓度变化的影响较大。 最后基于植被吸收与大气 CO2 浓度变化的年变化率，分析了植被吸收对大气 CO2 浓度影响最显著的时期。 期望本 文的分析可以对全球陆气碳循环的认识有更深入的认识。

Vegetation is the main component of terrestrial ecosystems, with "indicator" role in global change research. Vegetation can slow the absorption of atmospheric CO2 concentration increases, so in contributing to global climate change and human activities have become increasingly frequent in the background, absorbed by vegetation changes in atmospheric CO2 concentration has important practical significance. However, in previous studies, mainly for analysis of vegetation and atmospheric CO2 concentration variation carried out using remote sensing data types less. This paper on a global scale choosing six typical area, contains the forests, grasslands and arable land, three main land types.We collected using atmospheric CO2 GOSAT satellite data sets, a variety of MODIS vegetation, rainfall meteorological data sets, a relative data set based on the characteristics of time and space, correlation analysis of time and space, lag effect analysis and the annual rate of change and so on.In those views,we analysed forest, grassland and farmland three major vegetation types of carbon absorption and atmospheric CO2 concentration changes, space pattern, the relationship between the response mechanism, to reveal the vegetation distribution and potential of carbon sequestration in detail. We used the temporal and spatial correlation analysis showed the vegetation of the study area to absorb atmospheric CO2 concentration and spatial and temporal variation.By comparing the different vegetation parameters, we pointed out the best description of regional vegetation vegetation parameters on the absorption of atmospheric CO2 concentration had important reference value on selected vegetation parameters, which would follow the relevant studies. At the same time through seasonal changes in vegetation and the absorption of atmospheric CO2 concentration analysis, we found the vegetation to absorb atmospheric CO2 concentration with a lag time, this lag time is due to regional atmospheric transport caused by the longer lag period, indicating that the region atmospheric transmission is slow, native vegetation to absorb a greater impact on changes in atmospheric CO2 concentration.Finally, based on the rate of change of atmospheric CO2 absorbed by vegetation and changes in the concentration, we analyzed the impact on the most significant period of the vegetation absorption impacting atmospheric CO2 concentration. Acorroding analysing in this paper, we expect to get global land-atmosphere carbon cycle in a better known understanding.