DOI number:10.1109/LGRS.2020.3003448

Affiliation of Author(s):Wuhan University; Shenyang Jianzhu University; University of Waterloo; Eastern Michigan University

Journal:IEEE GEOSCIENCE AND REMOTE SENSING LETTERS

Place of Publication:Piscataway, USA

Funded by:National Natural Science Foundation of China [41871296, 51774204]

Key Words: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

Abstract: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.

Co-author: Yichun, Xie, Jonathan, Li, Ruren, Zongyao,Sha

Indexed by:Journal paper

Correspondence Author: Yichun,Xie

Document Code:WOS:000675210700014

Discipline:环境科学与工程

First-Level Discipline:Ecology

Document Type:Article

Volume:18

Issue:8

Page Number:1352-1356

ISSN No.:1545-598X

Translation or Not:no

Date of Publication:2021-08-01