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      Impact of forest plantation on methane emissions from tropical peatland

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          Abstract

          Tropical peatlands are a known source of methane (CH 4) to the atmosphere, but their contribution to atmospheric CH 4 is poorly constrained. Since the 1980s, extensive areas of the peatlands in Southeast Asia have experienced land‐cover change to smallholder agriculture and forest plantations. This land‐cover change generally involves lowering of groundwater level (GWL), as well as modification of vegetation type, both of which potentially influence CH 4 emissions. We measured CH 4 exchanges at the landscape scale using eddy covariance towers over two land‐cover types in tropical peatland in Sumatra, Indonesia: (a) a natural forest and (b) an Acacia crassicarpa plantation. Annual CH 4 exchanges over the natural forest (9.1 ± 0.9 g CH 4 m −2 year −1) were around twice as high as those of the Acacia plantation (4.7 ± 1.5 g CH 4 m −2 year −1). Results highlight that tropical peatlands are significant CH 4 sources, and probably have a greater impact on global atmospheric CH 4 concentrations than previously thought. Observations showed a clear diurnal variation in CH 4 exchange over the natural forest where the GWL was higher than 40 cm below the ground surface. The diurnal variation in CH 4 exchanges was strongly correlated with associated changes in the canopy conductance to water vapor, photosynthetic photon flux density, vapor pressure deficit, and air temperature. The absence of a comparable diurnal pattern in CH 4 exchange over the Acacia plantation may be the result of the GWL being consistently below the root zone. Our results, which are among the first eddy covariance CH 4 exchange data reported for any tropical peatland, should help to reduce the uncertainty in the estimation of CH 4 emissions from a globally important ecosystem, provide a more complete estimate of the impact of land‐cover change on tropical peat, and develop science‐based peatland management practices that help to minimize greenhouse gas emissions.

          Abstract

          We measured methane exchanges at the landscape scale using eddy covariance towers over a natural forest and an Acacia crassicarpa plantation in tropical peatland in Sumatra, Indonesia. Groundwater level (GWL) controls diurnal and seasonal variability in methane emissions. Annual methane emissions over the natural forest were around twice as high as those of the Acacia plantation. Lower methane emissions over the Acacia plantation may be attributed to lower GWL. Results highlight that tropical peatlands are significant methane sources, and probably have a greater impact on global atmospheric methane concentrations than previously thought.

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          Sonic Anemometer Tilt Correction Algorithms

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            Estimates of the Annual Net Carbon and Water Exchange of Forests: The EUROFLUX Methodology

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              The global methane budget 2000–2012

              The global methane (CH 4 ) budget is becoming an increasingly important component for managing realistic pathways to mitigate climate change. This relevance, due to a shorter atmospheric lifetime and a stronger warming potential than carbon dioxide, is challenged by the still unexplained changes of atmospheric CH 4 over the past decade. Emissions and concentrations of CH 4 are continuing to increase, making CH 4 the second most important human-induced greenhouse gas after carbon dioxide. Two major difficulties in reducing uncertainties come from the large variety of diffusive CH 4 sources that overlap geographically, and from the destruction of CH 4 by the very short-lived hydroxyl radical (OH). To address these difficulties, we have established a consortium of multi-disciplinary scientists under the umbrella of the Global Carbon Project to synthesize and stimulate research on the methane cycle, and producing regular (∼ biennial) updates of the global methane budget. This consortium includes atmospheric physicists and chemists, biogeochemists of surface and marine emissions, and socio-economists who study anthropogenic emissions. Following Kirschke et al. (2013), we propose here the first version of a living review paper that integrates results of top-down studies (exploiting atmospheric observations within an atmospheric inverse-modelling framework) and bottom-up models, inventories and data-driven approaches (including process-based models for estimating land surface emissions and atmospheric chemistry, and inventories for anthropogenic emissions, data-driven extrapolations). For the 2003–2012 decade, global methane emissions are estimated by top-down inversions at 558 Tg CH 4  yr −1 , range 540–568. About 60 % of global emissions are anthropogenic (range 50–65 %). Since 2010, the bottom-up global emission inventories have been closer to methane emissions in the most carbon-intensive Representative Concentrations Pathway (RCP8.5) and higher than all other RCP scenarios. Bottom-up approaches suggest larger global emissions (736 Tg CH 4  yr −1 , range 596–884) mostly because of larger natural emissions from individual sources such as inland waters, natural wetlands and geological sources. Considering the atmospheric constraints on the top-down budget, it is likely that some of the individual emissions reported by the bottom-up approaches are overestimated, leading to too large global emissions. Latitudinal data from top-down emissions indicate a predominance of tropical emissions (∼ 64 % of the global budget, < 30° N) as compared to mid (∼ 32 %, 30–60° N) and high northern latitudes (∼ 4 %, 60–90° N). Top-down inversions consistently infer lower emissions in China (∼ 58 Tg CH 4  yr −1 , range 51–72, −14 %) and higher emissions in Africa (86 Tg CH 4  yr −1 , range 73–108, +19 %) than bottom-up values used as prior estimates. Overall, uncertainties for anthropogenic emissions appear smaller than those from natural sources, and the uncertainties on source categories appear larger for top-down inversions than for bottom-up inventories and models. The most important source of uncertainty on the methane budget is attributable to emissions from wetland and other inland waters. We show that the wetland extent could contribute 30–40 % on the estimated range for wetland emissions. Other priorities for improving the methane budget include the following: (i) the development of process-based models for inland-water emissions, (ii) the intensification of methane observations at local scale (flux measurements) to constrain bottom-up land surface models, and at regional scale (surface networks and satellites) to constrain top-down inversions, (iii) improvements in the estimation of atmospheric loss by OH, and (iv) improvements of the transport models integrated in top-down inversions. The data presented here can be downloaded from the Carbon Dioxide Information Analysis Center ( http://doi.org/10.3334/CDIAC/GLOBAL_METHANE_BUDGET_2016_V1.1 ) and the Global Carbon Project.
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                Author and article information

                Contributors
                chandra_deshmukh@aprilasia.com
                Journal
                Glob Chang Biol
                Glob Chang Biol
                10.1111/(ISSN)1365-2486
                GCB
                Global Change Biology
                John Wiley and Sons Inc. (Hoboken )
                1354-1013
                1365-2486
                20 February 2020
                April 2020
                : 26
                : 4 ( doiID: 10.1111/gcb.v26.4 )
                : 2477-2495
                Affiliations
                [ 1 ] Asia Pacific Resources International Ltd. Kabupaten Pelalawan Indonesia
                [ 2 ] Centre for Ecology and Hydrology Bangor UK
                [ 3 ] Centre for Landscape and Climate Research School of Geography, Geology and the Environment University of Leicester Leicester UK
                [ 4 ] Birmingham Institute of Forest Research (BIFoR) School of Geography, Earth and Environmental Sciences University of Birmingham Birmingham UK
                [ 5 ] School of Forest Sciences Faculty of Science and Forestry University of Eastern Finland Joensuu Finland
                [ 6 ] Department of Soil Science and Land Resource Institut Pertanian Bogor Bogor Indonesia
                [ 7 ] Indonesian Center for Agricultural Land Resources Research and Development Bogor Indonesia
                [ 8 ] Department of Atmospheric and Oceanic Sciences University of Wisconsin‐Madison Madison WI USA
                Author notes
                [*] [* ] Correspondence

                Chandra S. Deshmukh, Asia Pacific Resources International Ltd., Pangkalan Kerinci, Kabupaten Pelalawan, Riau 28300, Indonesia.

                Email: chandra_deshmukh@ 123456aprilasia.com

                Author information
                https://orcid.org/0000-0003-2660-4315
                https://orcid.org/0000-0002-7052-354X
                Article
                GCB15019
                10.1111/gcb.15019
                7155032
                31991028
                5957502b-6868-4b4f-85f2-06aba216d87a
                © 2020 Asia Pacific Resources International Ltd. Global Change Biology published by John Wiley & Sons Ltd

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 24 September 2019
                : 25 December 2019
                Page count
                Figures: 7, Tables: 4, Pages: 19, Words: 14609
                Funding
                Funded by: Asia Pacific Resources International Ltd
                Funded by: Riau Ecosystem Restoration
                Categories
                Primary Research Article
                Primary Research Articles
                Custom metadata
                2.0
                April 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.8.0 mode:remove_FC converted:14.04.2020

                acacia crassicarpa,eddy covariance measurements,forest plantation,indonesia,land‐use change,methane emissions,peatland management,tropical peatlands

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