东北地区是我国沼泽湿地的重要分布区，科学评估沼泽湿地土壤有机碳库，揭示其空间分布格局及控制因素，对于估算全国尺度湿地固碳潜力及制定应对气候变化的生态系统管理对策具有重要意义。本项目以我国东北地区沼泽湿地为研究对象，结合Landsat OLI遥感影像与面向对象方法，提取沼泽湿地空间分布信息；基于大量土壤剖面采样数据，分析土壤有机碳密度与环境要素的关系，确定其控制因子；融合高精度曲面建模（HASM）与地理信息（气候、地形、地貌、植被类型等），并与广义线性模型（GLM）相结合，实现沼泽湿地土壤有机碳密度空间模拟；估算区域尺度沼泽湿地土壤有机碳储量并分析其空间格局。项目具有明显的学科特色和地域特色，在结合HASM模型与GLM模型并融合地理信息进行土壤有机碳密度空间预测方面具有创新性。本项目的实施将有助于降低国家尺度湿地碳储量估算的不确定性，为合理制定生态系统碳管理策略提供可靠的科学基础与数据支持。

Northeast China is one of the most important regions with large areas of vegetated wetlands. It is of significance to scientifically estimate soil organic carbon stocks in wetlands of Northeast China and discover their spatial patterns and controlling factors, which is beneficial for assessing potentials of wetlands carbon sequestration at the national scale and making decisions for ecosystem managements to tackle climate changes. First, this project will obtain spatial distribution information, based on Landsat OLI images and object-based imagery analysis (OBIA) method. Second, we will carry out field soil profile sampling with a large number of sites, explore relationships between soil organic carbon density (SOCD) and environmental factors, and find the controlling factors. Third, we will conduct spatial simulation of wetlands SOCD, by combining (high accuracy surface modeling for soil properties, HASM) and general linear model (GLM), with the help of geographic information including data of climate, topography, and geomorphology and vegetation type. Finally, soil organic carbon stored in wetlands at the regional scale and its spatial pattern will be studied. The project, characterized by discipline and regional features, has novelty during the spatial prediction of SOCD by using HASM and GLM, under the assistance of geographic information. The implementation of this project will help to reduce the uncertainty of estimation of wetlands carbon stocks at the national scale, and provide sound scientific base and data support for making reasonable ecosystem carbon management strategies.