Spatial distribution of vegetation carbon stock among different organs over the Tibetan Plateau:on an intensive field survey  

作　　者：Weixiang Cai Nianpeng He Li Xu 

机构地区：[1]College of Soil and Water Conservation Science and Engineering(Institute of Soil and Water Conservation),Northwest A&F University,Yangling,712100,People’s Republic of China [2]Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education,School of Ecology,Northeast Forestry University,Harbin,150040,People’s Republic of China [3]Key Laboratory of Ecosystem Network Observation and Modeling,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing,100101,People’s Republic of China [4]Earth Critical Zone and Flux Research Station of Xing’an Mountains,Chinese Academy of Sciences,Daxing’anling,165200,People’s Republic of China

出　　处：《Journal of Forestry Research》2025年第1期311-320,共10页林业研究(英文版)

基　　金：supported by CAS Project for Young Scientists in Basic Research(YSBR-037);the National Natural Science Foundation of China(42141004,32430067);by the Second Tibetan Plateau Scientific Expedition and Research Program(STEP,2019QZKK060602).

摘　　要：Tibetan Plateau,as one of the most carbon intensive regions in China,is crucial in the carbon cycle,and accurately estimating its vegetation carbon density(C_(VEG))is essential for assessing regional and national carbon balance.However,the spatial distribution of regional C_(VEG) is not available remains highly uncertain due to lack of systematic research,especially for different organs.Here,we investigated the spatial distribution patterns and driving factors of C_(VEG) among different plant organs(leaf,branch,trunk and root)by systematically field grid-sampling 2040 field-plots of plant communities over the Tibetan Plateau from 2019 to 2020.The results showed that the carbon content of plant organs ranged from 255.53 to 515.58 g kg^(-1),with the highest in branches and the lowest in roots.Among the different plant functional groups,the highest C_(VEG) was found in evergreen coniferous forests,and the lowest in desert grasslands,with an average C_(VEG) of 1603.98 g m^(-2).C_(VEG) increased spatially from northwest to southeast over the Tibetan Plateau,with MAP being the dominant factor.Furthermore,the total vegetation carbon stock on the Tibetan Plateau was estimated to be 1965.62 Tg for all vegetation types.Based on the comprehensive field survey dataset,the Random Forest model effectively predicted and mapped the spatial distribution of C_(VEG)(including aboveground,belowground,and the total biomass carbon density)over the Tibetan Plateau with notable accuracy(validation R2 values were 71%,56%,and 64%for C_(AGB),C_(BGB),and C_(VEG),respectively)at a spatial resolution of 1 km×1 km.Our findings can help improve the accuracy of regional carbon stock estimations and provide parameters for carbon cycle model optimization and remote sensing calibration in the future.

关 键 词：Tibetan Plateau VEGETATION Carbon density Carbon stock Machine learning 

分 类 号：D67[政治法律—政治学]