生态学杂志2024，Vol.43Issue(8)：2334-2344,11.DOI:10.13292/j.1000-4890.202408.013
基于Sentinel-2影像的城市植被土壤有机碳密度估算及空间分布特征
Estimation of the density and spatial distribution of soil organic carbon in urban vegetation based on Senti-nel-2 imagery data
摘要
Abstract
Soil organic carbon density(SOCD)is an important index to evaluate the carbon sink function of soil.Studying vegetation SOCD is of great significance for exploring the impacts of human activities on soil carbon cycle in urban areas.Based on the SOCD data of 206 sampling points(0-20 cm)and Sentinel-2 remote sensing images in the main urban area of Xi'an,we established the optimal SOCD estimation models of trees,shrubs,and grass-lands by using multiple linear,quadratic fitting,and exponential models.The vegetation SOCD in the study area was estimated based on the optimal models,the spatial distribution of vegetation SOCD were further analyzed.Re-sults showed that the SOCD of the urban vegetation ranged from 0 to 16.47 kg·m-2,with an average of 3.24 kg·m-2.Overall,the SOCD showed a spatial distribution characteristic of"high on the edge and low in the mid-dle",with high spatial heterogeneity.There were large differences in SOCD among different vegetation types.The average SOCD of the three vegetation types followed a pattern of trees(3.75 kg·m-2)＞shrubs(2.72 kg.m-2)＞grasslands(2.04 kg·m-2).There was a negative correlation between urban vegetation SOCD and urbanization intensity(P＜0.001),and the average SOCD was higher in areas with higher vegetation coverage.In general,urbanization had a negative impact on vegetation SOCD.Increasing urban vegetation coverage is one of the effective means to improve SOCD.The combination of remote sensing technology and field survey methods can quickly and effectively estimate SOCD of trees,shrubs and grasslands in the study area,which provides a reference for soil car-bon management in future urban development.关键词
土壤有机碳密度/Sentinel-2/西安市/遥感估算/回归模型Key words
soil organic carbon density/Sentinel-2/Xi'an City/remote sensing estimation/regression model引用本文复制引用
董子悦,刘建红,吕晓青,王俊,马敏飞,李金诺..基于Sentinel-2影像的城市植被土壤有机碳密度估算及空间分布特征[J].生态学杂志,2024,43(8):2334-2344,11.基金项目
陕西省自然科学基础研究计划项目(2023-JC-YB-253)和国家自然科学基金项目(31570440)资助. （2023-JC-YB-253）
