A Closer Look at the Effects of Lake Area, Aquatic Vegetation, and Double-Counted Wetlands on Pan-Arctic Lake Methane Emissions Estimates

被引:7
|
作者
Kyzivat, Ethan D. [1 ,2 ]
Smith, Laurence C. [1 ]
机构
[1] Brown Univ, Inst Brown Environm & Soc, Dept Earth Environm & Planetary Sci, Providence, RI 02912 USA
[2] Harvard Univ, Dept Earth & Planetary Sci, Cambridge, MA 02138 USA
基金
美国国家航空航天局;
关键词
modeling; upscaling; limnology; HydroLAKES; GSW; greenhouse gas; SIZE-DISTRIBUTION; SURFACE-WATER; DATASET; BOREAL; PONDS; FLUXES; EXTENT;
D O I
10.1029/2023GL104825
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Lake methane emissions are commonly upscaled from lake area, with recognition that smaller, non-inventoried lakes emit more per unit area. There is also growing awareness of the importance of lake aquatic vegetation and potential "double-counting" with wetlands, but lack of consensus on which is most impactful. Here, we combine high-resolution data with the comprehensive lake inventory HydroLAKES to rank these three variables based on emissions sensitivity. Including non-inventoried small lakes <0.1 km(2) (+30 [range: 9.0 to 82]% change) is greatest, followed by double-counting (-20 [-11 to -34]%) and lake aquatic vegetation (+14 [2.7 to 43]%). Significantly, emissions from non-inventoried lakes contribute far less than the similar to 40% previously determined globally through statistical area extrapolation. We produce a first pan-Arctic estimate of lake aquatic vegetation in 1.37 million km(2) of lakes, but after correcting for persistent double-counting, its net effect is to decrease emissions estimates by 9%. Thus, previous global emissions estimates are likely too high.
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页数:9
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