Estimating Carbon Sequestration Potential in Vegetation by Distance-Constrained Zonal Analysis

DOI码：10.1109/LGRS.2020.3003448

所属单位：Wuhan University; Shenyang Jianzhu University; University of Waterloo; Eastern Michigan University

发表刊物：IEEE GEOSCIENCE AND REMOTE SENSING LETTERS

刊物所在地：Piscataway, USA

项目来源：National Natural Science Foundation of China [41871296, 51774204]

关键字：Carbon; Vegetation mapping; Meteorology; Carbon sequestration; Soil; Biological system modeling; Terrestrial atmosphere; Carbon sequestration; Google Earth Engine (GEE); land management; remote sensing; vegetation; zonal analysis; PRODUCTIVITY; LAND; TEMPERATURE; REGION

摘要：This letter proposes a distance-constrained (DC) zonal analysis approach to quantify how much more carbon could be further sequestrated by vegetation in mainland China based on multiple data sources. Our approach first segments the area into homogeneous landform-vegetation-soil (LVS) zones. Good land management practice (GLMP) corresponding to high sequestrated carbon (target carbon level) is identified at the locations in the same LVS zone. The target carbon level is set as the 90th percentile of the historically sequestrated carbon using the proxy of net primary productivity (NPP) at the locations within the LVS zone. When GLMP is realized over the entire LVS zone, more carbon could be sequestrated. Our results show that on average about 1/4 of more carbon could be added to the existing amount given the selected "good" land management practices are adopted by neighboring locations where lower carbon sequestration levels exist. The carbon sequestration potential for different land cover types differs significantly.

合写作者： Yichun, Xie, Jonathan, Li, Ruren, Zongyao,Sha, Zongyao,Sha, Zongyao

论文类型：期刊论文

通讯作者： Yichun,Xie, Yichun, Yichun

论文编号：WOS:000675210700014

学科门类：环境科学与工程

一级学科：生态学

文献类型：Article

卷号：18

期号：8

页面范围：1352-1356

ISSN号：1545-598X

是否译文：否

发表时间：2021-08-01