DOI: 10.1016/j.ecolind.2019.105838
论文题名: A new methodology for organic soils in national greenhouse gas inventories: Data synthesis, derivation and application
作者: Tiemeyer B. ; Freibauer A. ; Borraz E.A. ; Augustin J. ; Bechtold M. ; Beetz S. ; Beyer C. ; Ebli M. ; Eickenscheidt T. ; Fiedler S. ; Förster C. ; Gensior A. ; Giebels M. ; Glatzel S. ; Heinichen J. ; Hoffmann M. ; Höper H. ; Jurasinski G. ; Laggner A. ; Leiber-Sauheitl K. ; Peichl-Brak M. ; Drösler M.
刊名: Ecological Indicators
ISSN: 1470160X
出版年: 2020
卷: 109 语种: 英语
英文关键词: Drainage
; Greenhouse gases
; MRV
; Peatland
; Rewetting, mitigation measures
Scopus关键词: Carbon dioxide
; Drainage
; Environmental regulations
; Forestry
; Global warming
; Groundwater
; International cooperation
; Land use
; Nitrogen oxides
; Organic carbon
; Soils
; Uncertainty analysis
; Boosted regression trees
; Default emission factors
; Dissolved organic carbon
; Greenhouse gas inventory
; Land use change and forestries
; Mitigation measures
; Peatland
; United nations framework convention on climate changes
; Greenhouse gases
; air sampling
; carbon dioxide
; dissolved organic carbon
; greenhouse gas
; methane
; nitrous oxide
; organic soil
; peatland
; rewetting
; soil emission
; Germany
英文摘要: Drained organic soils are large sources of anthropogenic greenhouse gases (GHG) in many European and Asian countries. Therefore, these soils urgently need to be considered and adequately accounted for when attempting to decrease emissions from the Agriculture and Land Use, Land Use Change and Forestry (LULUCF) sectors. Here, we describe the methodology, data and results of the German approach for measurement, reporting and verification (MRV) of anthropogenic GHG emissions from drained organic soils and outline ways forward towards tracking drainage and rewetting. The methodology was developed for and is currently applied in the German GHG inventory under the United Nations Framework Convention on Climate Change (UNFCCC) and the Kyoto Protocol. Spatial activity data comprise high resolution maps of land-use, type of organic soil and mean annual water table (WT). The WT map was derived by a boosted regression trees model from data of more than 1000 dipwells. Emissions of carbon dioxide (CO2), nitrous oxide (N2O) and methane (CH4) were synthesized from a unique national data set comprising more than 250 annual GHG balances from 118 sites in most land-use categories and types of organic soils. Measurements were performed with harmonized protocols using manual chambers. Non-linear response functions describe the dependency of CO2 and CH4 fluxes on mean annual WT, stratified by land-use where appropriate. Modelling results were aggregated into “implied emission factors” for each land-use category, taking into account the uncertainty of the response functions, the frequency distribution of the WT within each land-use category and further GHG sources such as dissolved organic carbon or CH4 emissions from ditches. IPCC default emission factors were used for these minor GHG sources. In future, response functions could be applied directly when appropriate WT data is available. As no functional relationship was found for N2O emissions, emission factors were calculated as the mean observed flux per land-use category. In Germany, drained organic soils emit more than 55 million tons of GHGs per year, of which 91% are CO2. This is equivalent to around 6.6% of the national GHG emissions in 2014. Thus, they are the largest GHG source from agriculture and LULUCF. The described methodology is applicable on the project scale as well as in other countries where similar data are collected. © 2019 The Author(s) Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159660
Appears in Collections: 气候变化与战略
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作者单位: Thünen Institute for Climate-Smart Agriculture, Braunschweig, 38116, Germany; Institute of Landscape Biogeochemistry, Leibniz-Centre for Agricultural Landscape Research, Müncheberg, 15374, Germany; Faculty of Agricultural and Environmental Sciences, Rostock University, Rostock, 18059, Germany; State Authority for Mining, Energy and Geology Lower Saxony, Hanover, 30655, Germany; Institute for Geography, Johannes Gutenberg-University Mainz, Mainz, 55099, Germany; Chair of Vegetation Ecology, University of Applied Sciences Weihenstephan-Triesdorf, Freising, 85354, Germany; Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, 70593, Germany
Recommended Citation:
Tiemeyer B.,Freibauer A.,Borraz E.A.,et al. A new methodology for organic soils in national greenhouse gas inventories: Data synthesis, derivation and application[J]. Ecological Indicators,2020-01-01,109