Importance of vegetation classes in modeling CH4 emissions from boreal and subarctic wetlands in Finland | |
Li, Tingting1; Raivonen, Maarit2; Alekseychik, Pavel2; Aurela, Mika3; Lohila, Annalea3; Zheng, Xunhua1; Zhang, Qing1; Wang, Guocheng1; Mammarella, Ivan; Rinne, Janne4 | |
刊名 | SCIENCE OF THE TOTAL ENVIRONMENT |
2016-12-01 | |
卷号 | 572页码:1111-1122 |
关键词 | CH4MOD(wetland) Methane |
ISSN号 | 0048-9697 |
其他题名 | Importance of vegetation classes in modeling CH4 emissions from boreal and subarctic wetlands in Finland |
通讯作者 | Zhang, W (reprint author), Chinese Acad Sci, Inst Atmospher Phys, LAPC, Beijing 100029, Peoples R China. ; Vesala, T (reprint author), Univ Helsinki, Dept Forest Sci, POB 27, FI-00014 Helsinki, Finland. Email:timo.vesala@helsinki.fi ; zhw@mail.iap.ac.cn |
产权排序 | [Li, Tingting; Zheng, Xunhua; Zhang, Qing; Wang, Guocheng; Yu, Lijun; Zhang, Wen] Chinese Acad Sci, Inst Atmospher Phys, LAPC, Beijing 100029, Peoples R China; [Raivonen, Maarit; Alekseychik, Pavel; Vesala, Timo] Univ Helsinki, Dept Phys, POB 48, FI-40014 Helsinki, Finland; [Aurela, Mika; Lohila, Annalea] Finnish Meteorol Inst, Atmospher Composit Res, POB 503, FI-00101 Helsinki, Finland; [Rinne, Janne] Lund Univ, Dept Phys Geog & Ecosyst Sci, Solvegatan 12, S-22362 Lund, Sweden; [Xie, Baohua] Chinese Acad Sci, Yantai Inst Coastal Zone Res YIC, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Shandong, Peoples R China; [Xie, Baohua] YICCAS, Shandong Prov Key Lab Coastal Environm Proc, Yantai 264003, Shandong, Peoples R China; [Vesala, Timo] Univ Helsinki, Dept Forest Sci, POB 27, FI-00014 Helsinki, Finland |
英文摘要 | Boreal/arctic wetlands are dominated by diverse plant species, which vary in their contribution to CH4 production, oxidation and transport processes. Earlier studies have often lumped the processes all together, which may induce large uncertainties into the results. We present a novel model, which includes three vegetation classes and can be used to simulate CH4 emissions from boreal and arctic treeless wetlands. The model is based on an earlier biogeophysical model, CH4MOD(wetland). We grouped the vegetation as graminoids, shrubs and Sphagnum and recalibrated the vegetation parameters according to their different CH4 production, oxidation and transport capacities. Then, we used eddy-covariance-based CH4 flux observations from a boreal (Siikaneva) and a subarctic fen (Lompolojaka) in Finland to validate the model. The results showed that the recalibrated model could generally simulate the seasonal patterns of the Finnish wetlands with different plant communities. The comparison between the simulated andmeasured daily CH4 fluxes resulted in a correlation coefficient (R-2) of 0.82 with a slope of 1.0 and an intercept of -0.1 mg m(-2) h(-1) for the Siikaneva site (n = 2249, p < 0.001) and an R-2 of 0.82 with a slope of 1.0 and an intercept of 0.0 mg m(-2) h(-1) for the Lompolojankka site (n = 1826, p < 0.001). Compared with the original model, the recalibrated model in this study significantly improved the model efficiency (EF), from - 5.5 to 0.8 at the Siikaneva site and from -0.4 to 0.8 at the Lompolojankka site. The simulated annual CH4 emissions ranged from 7 to 24 gm(-2) yr(-1), which was consistent with the observations (7-22 gm(-2) yr(-1)). However, there are some discrepancies between the simulated and observed daily CH4 fluxes for the Siikaneva site (RMSE = 50.0%) and the Lompolojankka site (RMSE = 47.9%). Model sensitivity analysis showed that increasing the proportion of the graminoids would significantly increase the CH4 emission levels. Our study demonstrated that the parameterization of the different vegetation processes was important in estimating long-term wetland CH4 emissions. (C) 2016 Elsevier B.V. All rights reserved. |
学科主题 | Environmental Sciences |
研究领域[WOS] | Environmental Sciences & Ecology |
关键词[WOS] | EDDY COVARIANCE TECHNIQUE ; DERIVE METHANE EMISSIONS ; CARBON-DIOXIDE EXCHANGE ; WATER-LEVEL DRAWDOWN ; RICE PADDY SOILS ; NATURAL WETLANDS ; VASCULAR PLANTS ; TERRESTRIAL ECOSYSTEMS ; BIOGEOCHEMISTRY MODEL ; ATMOSPHERIC METHANE |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000387807200103 |
内容类型 | 期刊论文 |
源URL | [http://ir.yic.ac.cn/handle/133337/17483] |
专题 | 烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室 |
作者单位 | 1.Chinese Acad Sci, Inst Atmospher Phys, LAPC, Beijing 100029, Peoples R China 2.Univ Helsinki, Dept Phys, POB 48, FI-40014 Helsinki, Finland 3.Finnish Meteorol Inst, Atmospher Composit Res, POB 503, FI-00101 Helsinki, Finland 4.Lund Univ, Dept Phys Geog & Ecosyst Sci, Solvegatan 12, S-22362 Lund, Sweden 5.Chinese Acad Sci, Yantai Inst Coastal Zone Res YIC, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Shandong, Peoples R China 6.YICCAS, Shandong Prov Key Lab Coastal Environm Proc, Yantai 264003, Shandong, Peoples R China 7.Univ Helsinki, Dept Forest Sci, POB 27, FI-00014 Helsinki, Finland |
推荐引用方式 GB/T 7714 | Li, Tingting,Raivonen, Maarit,Alekseychik, Pavel,et al. Importance of vegetation classes in modeling CH4 emissions from boreal and subarctic wetlands in Finland[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2016,572:1111-1122. |
APA | Li, Tingting.,Raivonen, Maarit.,Alekseychik, Pavel.,Aurela, Mika.,Lohila, Annalea.,...&Zhang, Wen.(2016).Importance of vegetation classes in modeling CH4 emissions from boreal and subarctic wetlands in Finland.SCIENCE OF THE TOTAL ENVIRONMENT,572,1111-1122. |
MLA | Li, Tingting,et al."Importance of vegetation classes in modeling CH4 emissions from boreal and subarctic wetlands in Finland".SCIENCE OF THE TOTAL ENVIRONMENT 572(2016):1111-1122. |
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