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      Growing season CH<sub>4</sub> and N<sub>2</sub>O fluxes from a subarctic landscape in northern Finland; from chamber to landscape scale

      , , , , , ,
      Biogeosciences
      Copernicus GmbH

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          Abstract

          <p><strong>Abstract.</strong> Subarctic and boreal emissions of CH<sub>4</sub> are important contributors to the atmospheric greenhouse gas (GHG) balance and subsequently the global radiative forcing. Whilst N<sub>2</sub>O emissions may be lower, the much greater radiative forcing they produce justifies their inclusion in GHG studies. In addition to the quantification of flux magnitude, it is essential that we understand the drivers of emissions to be able to accurately predict climate-driven changes and potential feedback mechanisms. Hence this study aims to increase our understanding of what drives fluxes of CH<sub>4</sub> and N<sub>2</sub>O in a subarctic forest/wetland landscape during peak summer conditions and into the shoulder season, exploring both spatial and temporal variability, and uses satellite-derived spectral data to extrapolate from chamber-scale fluxes to a 2<span class="thinspace"></span>km<span class="thinspace"></span> × <span class="thinspace"></span>2<span class="thinspace"></span>km landscape area.<br><br>From static chamber measurements made during summer and autumn campaigns in 2012 in the Sodankylä region of northern Finland, we concluded that wetlands represent a significant source of CH<sub>4</sub> (3.35<span class="thinspace"></span>±<span class="thinspace"></span>0.44<span class="thinspace"></span>mg<span class="thinspace"></span>C<span class="thinspace"></span>m<sup>−2</sup><span class="thinspace"></span>h<sup>−1</sup> during the summer campaign and 0.62<span class="thinspace"></span>±<span class="thinspace"></span>0.09<span class="thinspace"></span>mg<span class="thinspace"></span>C<span class="thinspace"></span>m<sup>−2</sup><span class="thinspace"></span>h<sup>−1</sup> during the autumn campaign), whilst the surrounding forests represent a small sink (−0.06<span class="thinspace"></span>±<span class="thinspace"></span>&amp;lt;<span class="thinspace"></span>0.01<span class="thinspace"></span>mg<span class="thinspace"></span>C<span class="thinspace"></span>m<sup>−2</sup><span class="thinspace"></span>h<sup>−1</sup> during the summer campaign and −0.03<span class="thinspace"></span>±<span class="thinspace"></span>&amp;lt;<span class="thinspace"></span>0.01<span class="thinspace"></span>mg<span class="thinspace"></span>C<span class="thinspace"></span>m<sup>−2</sup><span class="thinspace"></span>h<sup>−1</sup> during the autumn campaign). N<sub>2</sub>O fluxes were near-zero across both ecosystems.<br><br>We found a weak negative relationship between CH<sub>4</sub> emissions and water table depth in the wetland, with emissions decreasing as the water table approached and flooded the soil surface and a positive relationship between CH<sub>4</sub> emissions and the presence of <i>Sphagnum</i> mosses. Temperature was also an important driver of CH<sub>4</sub> with emissions increasing to a peak at approximately 12<span class="thinspace"></span>°C. Little could be determined about the drivers of N<sub>2</sub>O emissions given the small magnitude of the fluxes.<br><br>A multiple regression modelling approach was used to describe CH<sub>4</sub> emissions based on spectral data from PLEIADES PA1 satellite imagery across a 2<span class="thinspace"></span>km<span class="thinspace"></span> × <span class="thinspace"></span>2<span class="thinspace"></span>km landscape. When applied across the whole image domain we calculated a CH<sub>4</sub> source of 2.05<span class="thinspace"></span>±<span class="thinspace"></span>0.61<span class="thinspace"></span>mg<span class="thinspace"></span>C<span class="thinspace"></span>m<sup>−2</sup><span class="thinspace"></span>h<sup>−1</sup>. This was significantly higher than landscape estimates based on either a simple mean or weighted by forest/wetland proportion (0.99<span class="thinspace"></span>±<span class="thinspace"></span>0.16, 0.93<span class="thinspace"></span>±<span class="thinspace"></span>0.12<span class="thinspace"></span>mg<span class="thinspace"></span>C<span class="thinspace"></span>m<sup>−2</sup><span class="thinspace"></span>h<sup>−1</sup>, respectively). Hence we conclude that ignoring the detailed spatial variability in CH<sub>4</sub> emissions within a landscape leads to a potentially significant underestimation of landscape-scale fluxes. Given the small magnitude of measured N<sub>2</sub>O fluxes a similar level of detailed upscaling was not needed; we conclude that N<sub>2</sub>O fluxes do not currently comprise an important component of the landscape-scale GHG budget at this site.</p>

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          FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem–Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities

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            Nitrous oxide emissions from soils: how well do we understand the processes and their controls?

            Although it is well established that soils are the dominating source for atmospheric nitrous oxide (N2O), we are still struggling to fully understand the complexity of the underlying microbial production and consumption processes and the links to biotic (e.g. inter- and intraspecies competition, food webs, plant–microbe interaction) and abiotic (e.g. soil climate, physics and chemistry) factors. Recent work shows that a better understanding of the composition and diversity of the microbial community across a variety of soils in different climates and under different land use, as well as plant–microbe interactions in the rhizosphere, may provide a key to better understand the variability of N2O fluxes at the soil–atmosphere interface. Moreover, recent insights into the regulation of the reduction of N2O to dinitrogen (N2) have increased our understanding of N2O exchange. This improved process understanding, building on the increased use of isotope tracing techniques and metagenomics, needs to go along with improvements in measurement techniques for N2O (and N2) emission in order to obtain robust field and laboratory datasets for different ecosystem types. Advances in both fields are currently used to improve process descriptions in biogeochemical models, which may eventually be used not only to test our current process understanding from the microsite to the field level, but also used as tools for up-scaling emissions to landscapes and regions and to explore feedbacks of soil N2O emissions to changes in environmental conditions, land management and land use.
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              Methane emissions from wetlands: biogeochemical, microbial, and modeling perspectives from local to global scales.

              Understanding the dynamics of methane (CH4 ) emissions is of paramount importance because CH4 has 25 times the global warming potential of carbon dioxide (CO2 ) and is currently the second most important anthropogenic greenhouse gas. Wetlands are the single largest natural CH4 source with median emissions from published studies of 164 Tg yr(-1) , which is about a third of total global emissions. We provide a perspective on important new frontiers in obtaining a better understanding of CH4 dynamics in natural systems, with a focus on wetlands. One of the most exciting recent developments in this field is the attempt to integrate the different methodologies and spatial scales of biogeochemistry, molecular microbiology, and modeling, and thus this is a major focus of this review. Our specific objectives are to provide an up-to-date synthesis of estimates of global CH4 emissions from wetlands and other freshwater aquatic ecosystems, briefly summarize major biogeophysical controls over CH4 emissions from wetlands, suggest new frontiers in CH4 biogeochemistry, examine relationships between methanogen community structure and CH4 dynamics in situ, and to review the current generation of CH4 models. We highlight throughout some of the most pressing issues concerning global change and feedbacks on CH4 emissions from natural ecosystems. Major uncertainties in estimating current and future CH4 emissions from natural ecosystems include the following: (i) A number of important controls over CH4 production, consumption, and transport have not been, or are inadequately, incorporated into existing CH4 biogeochemistry models. (ii) Significant errors in regional and global emission estimates are derived from large spatial-scale extrapolations from highly heterogeneous and often poorly mapped wetland complexes. (iii) The limited number of observations of CH4 fluxes and their associated environmental variables loosely constrains the parameterization of process-based biogeochemistry models. © 2012 Blackwell Publishing Ltd.
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                Author and article information

                Journal
                Biogeosciences
                Biogeosciences
                Copernicus GmbH
                1726-4189
                2017
                February 23 2017
                : 14
                : 4
                : 799-815
                Article
                10.5194/bg-14-799-2017
                7abcd973-3116-4c11-a524-5d68b6c29efb
                © 2017

                https://creativecommons.org/licenses/by/3.0/

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