Hannah D. Conroy, David Butman, Jens Fölster, Emma E. Lannergård, Marcus B. Wallin
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引用次数: 0
Abstract
Carbon dioxide (CO2) emissions from streams are globally significant despite their limited areal extent and rival those from terrestrial ecosystems. Agricultural land represents 40% of the world's landmass; still, the magnitude and source dynamics of CO2 emissions from streams draining agricultural-influenced landscapes are poorly understood. We used high-frequency measurements of CO2 and dissolved oxygen in a temperate low-land mixed land-use catchment (21% agricultural) to estimate emissions and the contribution of in-stream metabolism. Although CO2 concentrations were high (median 3520 μatm), emissions were relatively low (median 4.0 g C m2 day−1) due to consistently low gas transfer velocities (k600). In-stream metabolism accounted for 46% of the emissions on average, which was higher than expected for a third-order stream. Emissions peaked during late summer despite low k600. Emissions were instead driven by high CO2 concentrations, highlighting the importance of CO2 supply over physical drivers. We show that low-elevation human-impacted streams exhibit distinct emission dynamics, underscoring the need to account for biological drivers in carbon budgets for these landscapes.
尽管河流的面积有限,但其二氧化碳排放量在全球范围内仍具有重要意义,可与陆地生态系统的排放量相媲美。农业用地占世界陆地面积的40%;尽管如此,人们对排水受农业影响的景观的溪流排放的二氧化碳的规模和来源动态知之甚少。我们使用了一个温带低地混合利用集水区(21%为农业)的CO2和溶解氧的高频测量来估计排放和河内代谢的贡献。虽然CO2浓度很高(中位数为3520 μatm),但由于气体传输速度(k600)持续较低,排放量相对较低(中位数为4.0 g C m2 day - 1)。流内代谢平均占排放的46%,高于三级流的预期。尽管k600较低,但排放在夏末达到峰值。相反,排放是由高浓度的二氧化碳驱动的,这突出了二氧化碳供应比物理驱动因素的重要性。研究表明,低海拔受人类影响的河流表现出不同的排放动态,强调了在这些景观的碳预算中考虑生物驱动因素的必要性。
期刊介绍:
Limnology and Oceanography (L&O; print ISSN 0024-3590, online ISSN 1939-5590) publishes original articles, including scholarly reviews, about all aspects of limnology and oceanography. The journal''s unifying theme is the understanding of aquatic systems. Submissions are judged on the originality of their data, interpretations, and ideas, and on the degree to which they can be generalized beyond the particular aquatic system examined. Laboratory and modeling studies must demonstrate relevance to field environments; typically this means that they are bolstered by substantial "real-world" data. Few purely theoretical or purely empirical papers are accepted for review.