Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.geoderma.2017.05.010 |
Spatial pattern of different component carbon in varied grasslands of northern China | |
Ma, Qun1,2; Kuang, Wennong2,3; Liu, Zhimin1; Hu, Feilong4; Qian, Jianqiang1; Liu, Bo5; Zhu, Jinlei1; Cao, Chengyou6; Wu, Jing7; Li, Xuehua1; Zhou, Quanlai1; Kou, Zhenwu1; Shou, Wenkai1,2 | |
通讯作者 | Liu, Zhimin |
来源期刊 | GEODERMA
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ISSN | 0016-7061 |
EISSN | 1872-6259 |
出版年 | 2017 |
卷号 | 303页码:27-36 |
英文摘要 | As one of the major terrestrial ecosystems, grasslands play a vital role in the global carbon cycle. However, the estimation of carbon stock in China’s grasslands still remains controversial. Using the measured data from spatial stratified sampling (including 200 sites; 400 soil profiles, 2400 soil samples in the depth of 0-100 cm, 400 above-ground biomass carbon data, and 2400 below-ground biomass carbon data), together with the EVI (enhanced vegetation index), the estimation of total carbon stock was calculated at 29.9 Pg, with an area of 2.63 x 10(6) km(2) and the storage of SOC was larger than that of biomass carbon regardless of grassland types. The carbon density of grasslands showed a tendency of decreasing from the southeast to the northwest. Alpine grassland contributed the most (74.2%) of the total carbon storage, while the Desert grassland contributed the least (4.3%). The vertical distribution of carbon density varied strongly among different grassland types and a proportion of 15.8% of total carbon still stored at the layer of 60-100 cm. Since this study combined spatial stratified sampling (based on grassland type and community level, sampled belowground samples to a depth of 0-100 cm) with remote sensing data, it is believed that this estimation of the stock and spatial pattern:of carbon in grasslands of northern China is more accurate. Therefore, these results will be conducive for understanding the contribution of different grassland types to the global carbon cycle and providing a reference for future measures taken for increasing carbon storage in grasslands. |
英文关键词 | Spatial analysis Carbon cycling Climate change Tibetan Plateau Grassland community Remote sensing |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | SCI-E |
WOS记录号 | WOS:000404496200004 |
WOS关键词 | SOIL CARBON ; CLIMATE-CHANGE ; VEGETATION ; STORAGE ; BIOMASS ; ECOSYSTEM ; STOCKS ; NDVI ; VARIABILITY ; SCALE |
WOS类目 | Soil Science |
WOS研究方向 | Agriculture |
来源机构 | 中国科学院新疆生态与地理研究所 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/199210 |
作者单位 | 1.Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Cele Natl Stn Observat & Res Desert Grassland Eco, Urumqi 830011, Peoples R China; 4.Minist Environm Protect, Nanjing Inst Environm Sci, Nanjing 210042, Jiangsu, Peoples R China; 5.Fujian Agr & Forestry Univ, Coll Forestry, Fuzhou 350002, Fujian Province, Peoples R China; 6.Northeastern Univ, Coll Sci, Shenyang 110004, Peoples R China; 7.Liaoning Forestry Vocat Tech Coll, Shenyang 110164, Peoples R China |
推荐引用方式 GB/T 7714 | Ma, Qun,Kuang, Wennong,Liu, Zhimin,et al. Spatial pattern of different component carbon in varied grasslands of northern China[J]. 中国科学院新疆生态与地理研究所,2017,303:27-36. |
APA | Ma, Qun.,Kuang, Wennong.,Liu, Zhimin.,Hu, Feilong.,Qian, Jianqiang.,...&Shou, Wenkai.(2017).Spatial pattern of different component carbon in varied grasslands of northern China.GEODERMA,303,27-36. |
MLA | Ma, Qun,et al."Spatial pattern of different component carbon in varied grasslands of northern China".GEODERMA 303(2017):27-36. |
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