A new methodology for organic soils in national greenhouse gas inventories: Data synthesis, derivation and application. (February 2020)

• Record Type: Journal Article
• Authors: Tiemeyer, Bärbel; Freibauer, Annette; Borraz, Elisa Albiac; Augustin, Jürgen; Bechtold, Michel; Beetz, Sascha; Beyer, Colja; Ebli, Martin; Eickenscheidt, Tim; Fiedler, Sabine; Förster, Christoph; Gensior, Andreas; Giebels, Michael; Glatzel, Stephan; Heinichen, Jan; Hoffmann, Mathias; Höper, Heinrich; Jurasinski, Gerald; Laggner, Andreas; Leiber-Sauheitl, Katharina; Peichl-Brak, Mandy; Drösler, Matthias
• Is Part Of: Ecological indicators. Volume 109(2020)
• Publication Date: 2020-02
• Subjects: Peatland -- MRV -- Drainage -- Rewetting, mitigation measures -- Greenhouse gases; Environmental monitoring -- Periodicals; Environmental management -- Periodicals; Environmental impact analysis -- Periodicals; Environmental risk assessment -- Periodicals; Sustainable development -- Periodicals; 333.71405
• DOI: 10.1016/j.ecolind.2019.105838
• Languages: English
• ISSNs: 1470-160X

Abstract

Highlights: Detailed methodology for reporting greenhouse gas emissions from organic soils. Based on more than 250 annual GHG balances measured in Germany. First approach to use representative water table distributions per land-use class. Non-linear response functions for CO2 and CH4 are developed. German drained organic soils emit more than 55 Mt CO2-eq . yr −1, of which 90% are CO2 . Abstract: 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 (N2 O) 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 N2 O 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.