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基于土地利用碳密度的丹江口库区碳储量空间分布特征分析

姚佳吟 李楠鑫 邓紫浠

安徽农业科学2025,Vol.53Issue(15):41-44,48,5.
安徽农业科学2025,Vol.53Issue(15):41-44,48,5.DOI:10.3969/j.issn.0517-6611.2025.15.010

基于土地利用碳密度的丹江口库区碳储量空间分布特征分析

Analysis of Spatial Distribution Characteristics of Carbon Storage in Danjiangkou Reservoir Region Based on Land-use Carbon Den-sity

姚佳吟 1李楠鑫 1邓紫浠1

作者信息

  • 1. 湖北大学资源环境学院/区域开发与环境响应湖北省重点实验室,湖北 武汉 430062
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摘要

Abstract

Through correcting land-use carbon density,using 2022 land-use data and the InVEST model,the characteristics and impacts of land-use on the spatial distribution of carbon storage in the Danjiangkou reservoir region were investigated.The results showed that in 2022,the land-use type of Danjiangkou reservoir region was dominated by forest and farmland,with the total proportion more than 90%;forest was mainly distributed in the mountainous and hilly areas in the northern,western and southern parts of the reservoir region,and farmland was mainly distributed in the eastern part and the valley areas within the reservoir region.The carbon density of different land-use types in the reser-voir region was varied.Soil organic carbon density contributed most significantly to the total carbon density of each land-use type.Under the influence of temperature and rainfall,the total carbon density of forest in 2022 was the highest at 119.80 t/hm2,far exceeding that of other land types.The total carbon storage in Danjiangkou reservoir region in 2022 was 1.79×108 t.Among them,forest and farmland were the most important carbon pools,and the total carbon storage of the two was 99.45%.Influenced by the spatial pattern of land-use and carbon density,the carbon storage mainly showed the spatial distribution characteristics of lower in the area near water and higher in the area away from water.

关键词

碳密度/碳储量/空间分布特征/土地利用类型/InVEST模型/丹江口库区

Key words

Carbon density/Carbon storage/Characteristics of spatial distribution/Land-use type/InVEST model/Danjiangkou reservoir region

分类

资源环境

引用本文复制引用

姚佳吟,李楠鑫,邓紫浠..基于土地利用碳密度的丹江口库区碳储量空间分布特征分析[J].安徽农业科学,2025,53(15):41-44,48,5.

基金项目

国家自然科学基金联合基金项目(U2340203). (U2340203)

安徽农业科学

0517-6611

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