Evaluation of CH4MOD(wetland) and Terrestrial Ecosystem Model (TEM) used to estimate global CH4 emissions from natural wetlands

doi:10.5194/gmd-13-3769-2020

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	Evaluation of CH4MOD(wetland) and Terrestrial Ecosystem Model (TEM) used to estimate global CH4 emissions from natural wetlands
	Li, Tingting 3; Lu, Yanyu 2; Yu, Lingfei 4; Sun, Wenjuan 4; Zhang, Qing ; Zhang, Wen ; Wang, Guocheng ; Qin, Zhangcai 3,7; Yu, Lijun ; Li, Hailing 6
刊名	GEOSCIENTIFIC MODEL DEVELOPMENT
	2020
卷号	13 期号:8 页码:3769-3788
ISSN号	1991-959X
DOI	10.5194/gmd-13-3769-2020
文献子类	Article
英文摘要	Wetlands are the largest and most uncertain natural sources of atmospheric methane (CH4). Several process-based models have been developed to quantify the magnitude and estimate spatial and temporal variations in CH4 emissions from global wetlands. Reliable models are required to estimate global wetland CH4 emissions. This study aimed to test two process-based models, CH4 MODwetland and Terrestrial Ecosystem Model (TEM), against the CH4 flux measurements of marsh, swamp, peatland and coastal wetland sites across the world; specifically, model accuracy and generality were evaluated for different wetland types and in different continents, and then the global CH4 emissions from 2000 to 2010 were estimated. Both models showed similar high correlations with the observed seasonal/annual total CH4 emissions, and the regression of the observed versus computed total seasonal/annual CH4 emissions resulted in R-2 values of 0.81 and 0.68 for CH4 MODwetland and ILM, respectively. The CH4MOD(wetland )produced accurate predictions for marshes, peatlands, swamps and coastal wetlands, with model efficiency (EF) values of 0.22, 0.52, 0.13 and 0.72, respectively. TEM produced good predictions for peatlands and swamps, with EF values of 0.69 and 0.74, respectively, but it could not accurately simulate marshes and coastal wetlands (EF < 0). There was a good correlation between the simulated CH4 fluxes and the observed values on most continents. However, CH4MOD(wetland) showed no correlation with the observed values in South America and Africa. TEM showed no correlation with the observations in Europe. The global CH4 emissions for the period 2000-2010 were estimated to be 105.31 +/- 2.72 Tg yr(-1) by CH4 MODwetland and 134.31 +/- 0.84 Tg yr(-1) by MM. Both models simulated a similar spatial distribution of CH4 emissions globally and on different continents. Marshes contribute 36 %-39 % of global CH4 emissions. Lakes/rivers and swamps are the second and third greatest contributors, respectively. Other wetland types account for only approximately 20 % of global emissions. Based on the model applicability, if we use the more accurate model, i.e., the one that performs best as evidenced by a higher model efficiency and a lower model bias, to estimate each continent and wetland type, we obtain a new assessment of 116.99-124.74 Tg yr(-1) for the global CH4 emissions for the period 2000-2010. Our results imply that performance at a global scale may conceal model uncertainty. Efforts should be made to improve model accuracy for different wetland types and regions, particularly hotspot regions, to reduce the uncertainty in global assessments.
学科主题	Geosciences, Multidisciplinary
电子版国际标准刊号	1991-9603
出版地	GOTTINGEN
WOS关键词	EDDY-COVARIANCE MEASUREMENTS ; DERIVE METHANE EMISSIONS ; POLYGONAL TUNDRA ; CLIMATE-CHANGE ; TEMPORAL VARIATIONS ; VEGETATION CONTROLS ; DATA SET ; FLUXES ; CARBON ; CO2
WOS研究方向	Geology
语种	英语
出版者	COPERNICUS GESELLSCHAFT MBH
WOS记录号	WOS:000566347300001
资助机构	National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41775159, 91937302, 31000234] ; National Key Scientific and Technological Infrastructure project Earth System Science Numerical Simulator Facility (EarthLab)
内容类型	期刊论文
源URL	[http://ir.ibcas.ac.cn/handle/2S10CLM1/21598]
专题	植被与环境变化国家重点实验室
作者单位	1.Chinese Acad Sci, Inst Atmospher Phys, CCRC, Beijing 100029, Peoples R China 2.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519000, Peoples R China 3.Chinese Acad Sci, Inst Atmospher Phys, LAPC, Beijing 100029, Peoples R China 4.Anhui Inst Meteorol Sci, Key Lab Atmospher Sci & Remote Sensing Anhui Prov, Hefei 230031, Peoples R China 5.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China 6.Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou 510245, Peoples R China 7.Chinese Acad Sci, Inst Bot, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Li, Tingting,Lu, Yanyu,Yu, Lingfei,et al. Evaluation of CH4MOD(wetland) and Terrestrial Ecosystem Model (TEM) used to estimate global CH4 emissions from natural wetlands[J]. GEOSCIENTIFIC MODEL DEVELOPMENT,2020,13(8):3769-3788.
APA	Li, Tingting.,Lu, Yanyu.,Yu, Lingfei.,Sun, Wenjuan.,Zhang, Qing.,...&Zhang, Ran.(2020).Evaluation of CH4MOD(wetland) and Terrestrial Ecosystem Model (TEM) used to estimate global CH4 emissions from natural wetlands.GEOSCIENTIFIC MODEL DEVELOPMENT,13(8),3769-3788.
MLA	Li, Tingting,et al."Evaluation of CH4MOD(wetland) and Terrestrial Ecosystem Model (TEM) used to estimate global CH4 emissions from natural wetlands".GEOSCIENTIFIC MODEL DEVELOPMENT 13.8(2020):3769-3788.