不同时期土壤有机碳(SOC)空间格局研究的主要方法

The Dominating Research Methods of Soil Organic Carbon Spatial Pattern in Different Periods

土壤有机碳作为陆地生态系统中的一个区域化随机变量,在系统内部垂直和水平发生变化的同时与大气圈和生物圈这两个碳库之间产生循环作用。为了揭示土壤有机碳的空间分布特性,传统统计学、地统计学、遥感与地理信息系统等方法被相继引入且逐渐走向成熟,其中利用遥感与地理信息系统相结合的方法来反演土壤有机碳库储量及其空间分布格局受到了越来越多的专家学者所推崇。本文在对不同方法基本理论进行简单阐述的基础上,介绍了它们在土壤有机碳的空间分布格局的研究中所取得的一些成果,并就遥感技术在反演表层土壤有机碳的空间分布格局中的应用前景进行了展望。

Soil organic carbon （SOC） as one regionalized variable of terrestrial ecosystem, cycled between atmosphere and biosphere, while it changed in horizontal and vertical direction inside the system. In order to reveal the spatial distribution characters of SOC, conventional statistics, geostatistics, remote sensing and geographic information system （GIS） etc were used and becoming perfect gradually. Among these methods, the combination of remote sensing and GIS is canonizing by more and more professors and researchers to inverse SOC storage and its spatial distribute pattern. In this paper, the basic theories and some applied products of them in SOC spatial distribute pattern were introduced and it also discussed the perspective of remote sensing in SOC spatial distribute pattern research.