气候变化领域集成服务门户(CCPortal): Using Atmospheric Inverse Modelling of Methane Budgets with Copernicus Land Water and Wetness Data to Detect Land Use-Related Emissions

CCPortal

DOI	10.3390/rs16010124
	Using Atmospheric Inverse Modelling of Methane Budgets with Copernicus Land Water and Wetness Data to Detect Land Use-Related Emissions
	Tenkanen, Maria K.; Tsuruta, Aki; Tyystjaervi, Vilna; Toermae, Markus; Autio, Iida; Haakana, Markus; Tuomainen, Tarja; Leppaenen, Antti; Markkanen, Tiina; Raivonen, Maarit; Niinistoe, Sini; Arslan, Ali Nadir; Aalto, Tuula
发表日期	2024
EISSN	2072-4292
起始页码	16
结束页码	1
卷号	16 期号:1
英文摘要	Climate change mitigation requires countries to report their annual greenhouse gas (GHG) emissions and sinks, including those from land use, land use change, and forestry (LULUCF). In Finland, the LULUCF sector plays a crucial role in achieving net-zero GHG emissions, as the sector is expected to be a net sink. However, accurate estimates of LULUCF-related GHG emissions, such as methane (CH4), remain challenging. We estimated LULUCF-related CH4 emissions in Finland in 2013-2020 by combining national land cover and remote-sensed surface wetness data with CH4 emissions estimated by an inversion model. According to our inversion model, most of Finland's CH4 emissions were attributed to natural sources such as open pristine peatlands. However, our research indicated that forests with thin tree cover surrounding open peatlands may also be a significant source of CH4. Unlike open pristine peatlands and pristine peatlands with thin tree cover, surrounding transient forests are included in the Finnish GHG inventory if they meet the criteria used for forest land. The current Finnish national GHG inventory may therefore underestimate CH4 emissions from forested organic soils surrounding open peatlands, although more precise methods and data are needed to verify this. Given the potential impact on net GHG emissions, CH4 emissions from transitional forests on organic soils should be further investigated. Furthermore, the results demonstrate the potential of combining atmospheric inversion modelling of GHGs with diverse data sources and highlight the need for methods to more easily combine atmospheric inversions with national GHG inventories.
英文关键词	methane emissions; methane flux; LULUCF; inversion modelling; national greenhouse gas inventory; NGHGI; Finland; methane; peatland
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:001140299900001
来源期刊	REMOTE SENSING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/299722
作者单位	Finnish Meteorological Institute; Finnish Environment Institute; Natural Resources Institute Finland (Luke); University of Helsinki; Finnish Meteorological Institute
推荐引用方式 GB/T 7714	Tenkanen, Maria K.,Tsuruta, Aki,Tyystjaervi, Vilna,et al. Using Atmospheric Inverse Modelling of Methane Budgets with Copernicus Land Water and Wetness Data to Detect Land Use-Related Emissions[J],2024,16(1).
APA	Tenkanen, Maria K..,Tsuruta, Aki.,Tyystjaervi, Vilna.,Toermae, Markus.,Autio, Iida.,...&Aalto, Tuula.(2024).Using Atmospheric Inverse Modelling of Methane Budgets with Copernicus Land Water and Wetness Data to Detect Land Use-Related Emissions.REMOTE SENSING,16(1).
MLA	Tenkanen, Maria K.,et al."Using Atmospheric Inverse Modelling of Methane Budgets with Copernicus Land Water and Wetness Data to Detect Land Use-Related Emissions".REMOTE SENSING 16.1(2024).