Spatial distribution of vegetation carbon stock among different organs over the Tibetan Plateau: on an intensive field survey
文献类型：期刊论文
| 作者 | Cai, Weixiang2; He, Nianpeng1; Xu, Li3,4 |
| 刊名 | JOURNAL OF FORESTRY RESEARCH
 |
| 出版日期 | 2024-12-01 |
| 卷号 | 35期号:1页码:10 |
| 关键词 | Tibetan Plateau Vegetation Carbon density Carbon stock Machine learning |
| ISSN号 | 1007-662X |
| DOI | 10.1007/s11676-024-01793-9 |
| 产权排序 | 3 |
| 英文摘要 | 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 (CVEG) is essential for assessing regional and national carbon balance. However, the spatial distribution of regional CVEG 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 CVEG 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 CVEG was found in evergreen coniferous forests, and the lowest in desert grasslands, with an average CVEG of 1603.98 g m-2. CVEG 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 CVEG (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 CAGB, CBGB, and CVEG, respectively) at a spatial resolution of 1 km x 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. |
| WOS关键词 | BIOMASS ; PATTERN ; PRODUCTIVITY ; ECOSYSTEM |
| WOS研究方向 | Forestry |
| 语种 | 英语 |
| WOS记录号 | WOS:001330213600001 |
| 出版者 | NORTHEAST FORESTRY UNIV |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/209880]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 通讯作者 | He, Nianpeng |
| 作者单位 | 1.Northeast Forestry Univ, Sch Forestry, Key Lab Sustainable Forest Ecosyst Management, Minist Educ, Harbin 150040, Peoples R China 2.Northwest A&F Univ, Inst Soil & Water Conservat, Coll Soil & Water Conservat Sci & Engn, Yangling 712100, Peoples R China 3.Chinese Acad Sci, Earth Crit Zone & Flux Res Stn Xingan Mt, Daxinganling 165200, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Cai, Weixiang,He, Nianpeng,Xu, Li. Spatial distribution of vegetation carbon stock among different organs over the Tibetan Plateau: on an intensive field survey[J]. JOURNAL OF FORESTRY RESEARCH,2024,35(1):10. |
| APA | Cai, Weixiang,He, Nianpeng,&Xu, Li.(2024).Spatial distribution of vegetation carbon stock among different organs over the Tibetan Plateau: on an intensive field survey.JOURNAL OF FORESTRY RESEARCH,35(1),10. |
| MLA | Cai, Weixiang,et al."Spatial distribution of vegetation carbon stock among different organs over the Tibetan Plateau: on an intensive field survey".JOURNAL OF FORESTRY RESEARCH 35.1(2024):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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