Carbon emission from Siberian rivers

Lead Author Jan, Karlsson
Institution Contact Climate Impact Research Center (CIRC), Dept. of Ecology and Environmental science, Umeå University, Sweden
Co-Authors Pertti Ala-aho, Univ. of Aberdeen, UK Sergei Kirpotin, Tomsk state Univ., Russia Hjalmar Laudon, Swedish University of Agricultural Sciences, Sweden Oleg Pokrovsky, Univ. Toulouse, France Anatoly Prokushkin, Russian Academy of Sciences, Russia Svetlana Serikova, Umeå University, Sweden Chris Soulsby, Univ. of Aberdeen, UK Doerthe Tetzlaff, Univ. of Aberdeen, UK
Theme Theme 1: Vulnerability of Arctic Environments
Session Name 1.3 Siberian Inland Waters: Vulnerability to Global Change and Human Impact
Datetime Thu, Sep 15, 2016 10:45 AM - 11:00 AM
Presentation Type Oral
Abstract text Siberia contains vast C stocks potentially vulnerable to mobilization following permafrost thawing, and inland waters draining these regions are largely understudied. Thus, research on inland waters of Siberia is of particular importance for understanding climate change. Here we present the first results of an interdisciplinary project (JPI Climate collaborative research project on Russian Arctic and Boreal systems, that link expertise in aquatic biogeochemistry, hydrology and permafrost dynamics with the aim to improve the knowledge of the role of high latitude inland waters in emitting C to atmosphere and in exporting C to downstream coastal regions and how this varies between different climate regimes.
We present results of comparative studies in 2015 of C emissions from rivers across a climate gradient in western and central Siberia covering a large range of climate and permafrost conditions (permafrost free to continuous). The focus is on the Ob, Pur, Taz and Yenisey river networks, including major tributaries and the main stem of the rivers. We quantified the concentrations and net exchange of carbon dioxide (CO2) and methane (CH4) between water and atmosphere during 2 surveys of each river network and for selected sites we carried out shorter time series. The results show that these river networks are net sources of greenhouse gases to the atmosphere, with significant temporal and spatial variability. We will relate these patterns to catchment characteristics and hydrological dynamics. Further, the available results will serve as a basis for discussing the need of concentrated efforts to capture and understand the drivers of variability in gas exchange dynamics and also the need of data that enable upscaling of these fluxes to larger regions.
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