High Spatial and Temporal Resolution Methane Emissions Inventory from Terrestrial Ecosystems in China, 2010-2020

被引:3
|
作者
Yang, Yongliang [1 ,2 ]
Shi, Yusheng [1 ]
机构
[1] Chinese Acad Sci, Aerosp Informat Res Inst, State Environm Protect Key Lab Satellite Remote Se, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 101408, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
China; terrestrial ecosystem; CH4 emission inventory; spatiotemporal variations; NATURAL WETLANDS; BUDGET; EAST;
D O I
10.3390/atmos13121966
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Methane (CH4) is not only an important greenhouse gas next to carbon dioxide (CO2), but also an important chemically active gas. Under the background of climate warming, the measurement of CH4 emissions from terrestrial ecosystems in China is not only very important for exploring the impact of climate change on the ecological environment, but also of great significance for the in-depth study of ecosystem carbon cycling. In this study, we used the Emission-Factor Approach to estimate CH4 emissions from terrestrial ecosystems in China from 2010-2020 and explored the spatial distribution characteristics of CH4 emissions. The estimated CH4 emission inventory of terrestrial ecosystems with 0.05 spatial resolution on monthly time scale is in good agreement with the results of the latest emission inventory. It is estimated that CH4 emissions from terrestrial ecosystems in China are 19.955 Tg yr(-1), including 18.61% (3.713 Tg yr(-1)) from vegetation, 21.47% (4.285 Tg yr(-1)) from wetlands and 59.92% (11.957 Tg yr(-1)) from paddy fields, with the largest contribution from paddy fields. The regions with high CH4 emissions from terrestrial ecosystems in China are mainly located in the central, eastern and southeastern regions of China, and show a decreasing trend from southeast to northwest. The CH4 emission from terrestrial ecosystems in China has obvious seasonal variation characteristics, with the lowest emission in January (0.248 Tg month(-1)) and the highest emission in August (3.602 Tg month(-1)). The emissions are high in summer and autumn and low in spring and winter. CH4 emissions from terrestrial ecosystems in China showed an overall upward trend from 2010-2020.
引用
收藏
页数:14
相关论文
共 50 条
  • [11] Shrinking cities in China: Evidence from the latest two population censuses 2010-2020
    Meng, Xiangfeng
    Long, Ying
    ENVIRONMENT AND PLANNING A-ECONOMY AND SPACE, 2022, 54 (03): : 449 - 453
  • [12] Inventory of Spatio-Temporal Methane Emissions from Livestock and Poultry Farming in Beijing
    Guo, Yixuan
    Wang, Yidong
    Chen, Shufeng
    Zheng, Shunan
    Guo, Changcheng
    Xue, Dongmei
    Kuzyakov, Yakov
    Wang, Zhong-Liang
    SUSTAINABILITY, 2019, 11 (14)
  • [13] Spatial and Temporal Variations of Lower Tropospheric Methane During 2010-2011 in China
    Xu, Yuyue
    Wang, Juanle
    Sun, Jiulin
    Xu, Yong
    Harris, Warwick
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2012, 5 (05) : 1464 - 1473
  • [14] Uncertainty Quantification of Global Net Methane Emissions From Terrestrial Ecosystems Using a Mechanistically Based Biogeochemistry Model
    Liu, Licheng
    Zhuang, Qianlai
    Oh, Youmi
    Shurpali, Narasinha J.
    Kim, Seungbum
    Poulter, Ben
    JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2020, 125 (06)
  • [15] Global Rice Paddy Inventory (GRPI): A High-Resolution Inventory of Methane Emissions From Rice Agriculture Based on Landsat Satellite Inundation Data
    Chen, Zichong
    Lin, Haipeng
    Balasus, Nicholas
    Hardy, Andy
    East, James D.
    Zhang, Yuzhong
    Runkle, Benjamin R. K.
    Hancock, Sarah E.
    Taylor, Charles A.
    Du, Xinming
    Sander, Bjoern Ole
    Jacob, Daniel J.
    EARTHS FUTURE, 2025, 13 (04)
  • [16] Spatial and Temporal Patterns of Maize Phenology in China From 2001 to 2020
    Peng, Qiongyan
    Shen, Ruoque
    Liu, Yujie
    Li, Xiangqian
    Sun, Qingling
    Huang, Jianxi
    Yuan, Wenping
    JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2024, 129 (10)
  • [17] Spatial and temporal analysis of a fatal landslide inventory in China from 1950 to 2016
    Lin, Qigen
    Wang, Ying
    LANDSLIDES, 2018, 15 (12) : 2357 - 2372
  • [18] Spatial and temporal analysis of a fatal landslide inventory in China from 1950 to 2016
    Qigen Lin
    Ying Wang
    Landslides, 2018, 15 : 2357 - 2372
  • [19] MOVES-Beijing-based high spatial and temporal resolution ammonia emissions from road traffic in Beijing
    Chen, Sha
    Du, Zhanxia
    Shi, Xiaodan
    Liu, Yingying
    Li, Sumei
    Shao, Changqiao
    Steve-Harold, Kaghembega Wendkuuni
    ATMOSPHERIC ENVIRONMENT, 2021, 256
  • [20] Spatial and temporal variation of air pollutant emissions from forest fires in China
    Song, Rong
    Wang, Tijian
    Han, Juncai
    Xu, Beiyao
    Ma, Danyang
    Zhang, Ming
    Li, Shu
    Zhuang, Bingliang
    Li, Mengmeng
    Xie, Min
    ATMOSPHERIC ENVIRONMENT, 2022, 281