Department of Thematic Studies-Environmental Change, Linköping University, 581 83 Linköping, Sweden.
Department of Earth Sciences, Uppsala University, 752 36 Uppsala, Sweden.
Sci Rep. 2017 Jan 3;7:39729. doi: 10.1038/srep39729.
Global stream and river greenhouse gas emissions seem to be as large as the oceanic C uptake. However, stream and river emissions are uncertain until both spatial and temporal variability have been quantified. Here we investigated in detail the stream CH and CO emissions within a hemiboreal catchment in Southwest Sweden primarily covered by coniferous forest. Gas transfer velocities (k), CH and CO concentrations were measured with multiple methods. Our data supported modelling approaches accounting for various stream slopes, water velocities and discharge. The results revealed large but partially predictable spatio-temporal variabilities in k, dissolved gas concentrations, and emissions. The variability in CO emission was best explained by the variability in k, while dissolved CH concentrations explained most of the variability in CH emission, having implications for future measurements. There were disproportionately large emissions from high slope stream reaches including waterfalls, and from high discharge events. In the catchment, stream reaches with low slope and time periods of moderate discharge dominated (90% of area and 69% of time). Measurements in these stream areas and time periods only accounted for <36% of the total estimated emissions. Hence, not accounting for local or episodic high emissions can lead to substantially underestimated emissions.
全球溪流和河流温室气体排放量似乎与海洋碳吸收量相当。然而,在量化了空间和时间变化之后,溪流和河流的排放量仍然不确定。本研究详细调查了瑞典西南部一个以针叶林为主的半湿润流域内的溪流 CH 和 CO 排放。我们使用多种方法测量了气体转移速度(k)、CH 和 CO 浓度。我们的数据支持了考虑不同溪流坡度、水流速度和流量的建模方法。结果表明,k、溶解气体浓度和排放量具有较大但部分可预测的时空变异性。CO 排放的变异性最好由 k 的变异性来解释,而 CH 浓度的变异性则解释了 CH 排放的大部分变异性,这对未来的测量具有重要意义。具有较大坡度的溪流河段(包括瀑布)和高流量事件的排放比例不成比例地高。在该流域中,低坡度的溪流河段和中等流量的时段占主导地位(占流域面积的 90%,时间的 69%)。这些溪流区域和时间段的测量仅占总估计排放量的<36%。因此,如果不考虑局部或偶发性的高排放,可能会导致排放量被严重低估。