Parameters for estimating methane emissions from Arctic-boreal lakes: non-inventoried small lake areas, aquatic vegetation, and potential double-counting with wetlands

• Main Authors: Ethan Kyzivat, Laurence Smith
• Format: Dataset
• Language: unknown
• Published: Arctic Data Center 2023
• Subjects: methane; budget; greenhouse gas; inventory; limnology; lakes; ponds; flux; HydroLAKES; aquatic; upscaling; Arctic; Arctic Lake
• Online Access: https://search.dataone.org/view/urn:uuid:551eea5f-943d-44b3-a62d-83071bacfaef

This data set accompanies a paper looking at the relative importance of three variables in upscaling Arctic lake methane emissions: lake area, lake aquatic vegetation coverage, and potential double counting with wetlands. The data set is presented in two compressed, comma separated value (CSV) files with an index column corresponding to either lakes in HydroLAKES (Messager et al., 2016), or grid cells in the Boreal-Arctic Wetland and Lake Dataset (BAWLD, Olefeldt et al., 2021). The global surface water data set (GSW, Pekel at al. 2016) was used to derive lake aquatic vegetation (LAV) and potential wetland double-counting, defined as areas within lakes corresponding to < 50% water occurrence. Lake aquatic vegetation was estimated using a reference data set of airborne radar – observed lake emergent vegetation coverage (Kyzivat et al., 2022). A third CSV dataset provides estimates for the three variables, plus methane emissions for all lakes binned by area and includes extrapolated areas bins for lakes below the 0.1 km2 HydroLAKES area threshold.