PeRL: Permafrost Region Pond and Lake Database, links to ArcGIS shapefiles

Muster, Sina; Roth, Kurt; Langer, Moritz; Lange, Stephan; Cresto-Aleina, Fabio; Bartsch, Annett; Morgenstern, Anne; Grosse, Guido; Jones, Benjamin M.; Sannel, A. Britta K.; Sjöberg, Ylva; Günther, Frank; Andresen, Christian G.; Veremeeva, Alexandra; Lindgren, Prajna R; Bouchard, Frédéric; Lara, Mark J.; Fortier, Daniel; Charbonneau, Simon; Virtanen, Tarmo; Hugelius, Gustaf; Palmtag, Juri; Siewert, Matthias Benjamin; Riley, William J.; Koven, C.; Boike, Julia

doi:10.1594/pangaea.868349

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Data fusion with three high-resolution (HR) remotely-sensed data sets (Kyzivat et al, 2019a;Mullen et al, 2022;Muster et al, 2017a) was used to supplement HydroLAKES coverage (Text S1 in Supporting Information S1).…”

Section: Estimation Of Small Water Bodiesmentioning

confidence: 99%

“…The following publicly-available data sets were used in this analysis: HydroLAKES (Messager et al, 2016) from the World Wildlife Fund; GSW (Pekel et al, 2016) from the European Commission's Joint Research Centre; BAWLD (Olefeldt et al, 2021a) and BAWLD-CH4 (Kuhn et al, 2021a) from the National Science Foundation Arctic Data Center; WBD (Feng & Sui, 2020) from the Chinese National Tibetan Plateau/Third Pole Environment Data Center, available in English; LEV (Kyzivat et al, 2021) from the Oak Ridge National Lab (ORNL) Distributed Active Archive Center (DAAC); HR lakes (Kyzivat et al, 2019a;Mullen et al, 2022;Muster et al, 2017a) from ORNL DAAC, ORNL DAAC, and PANGEA, respectively;and ERA5 (Muñoz Sabater, 2019) from Copernicus Climate Change Service Climate Data Store. New data and a python toolbox generated for this manuscript are archived in the Arctic Data Center .…”

Section: Data Availability Statementmentioning

confidence: 99%

See 1 more Smart Citation

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

Kyzivat,

Smith

2023

Geophysical Research Letters

View full text Add to dashboard Cite

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 km2 (+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 ∼40% previously determined globally through statistical area extrapolation. We produce a first pan‐Arctic estimate of lake aquatic vegetation in 1.37 million km2 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.

show abstract

Section: Estimation Of Small Water Bodiesmentioning

confidence: 99%

Section: Data Availability Statementmentioning

confidence: 99%

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

Kyzivat,

Smith

2023

Geophysical Research Letters

View full text Add to dashboard Cite

show abstract

PeRL: a circum-Arctic Permafrost Region Pond and Lake database

Muster

Roth

Langer

et al. 2017

Earth Syst. Sci. Data

Self Cite

View full text Add to dashboard Cite

Abstract. Ponds and lakes are abundant in Arctic permafrost lowlands. They play an important role in Arctic wetland ecosystems by regulating carbon, water, and energy fluxes and providing freshwater habitats. However, ponds, i.e., waterbodies with surface areas smaller than 1.0 × 10 4 m 2 , have not been inventoried on global and regional scales. The Permafrost Region Pond and Lake (PeRL) database presents the results of a circum-Arctic effort to map ponds and lakes from modern (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013) high-resolution aerial and satellite imagery with a resolution of 5 m or better. The database also includes historical imagery from 1948 to 1965 with a resolution of 6 m or better. PeRL includes 69 maps covering a wide range of environmental conditions from tundra to boreal regions and from continuous to discontinuous permafrost zones. Waterbody maps are linked to regional permafrost landscape maps which provide information on permafrost extent, ground ice volume, geology, and lithology. This paper describes waterbody classification and accuracy, and presents statistics of waterbody distribution for each site. Maps of permafrost landscapes in Alaska, Canada, and Russia are used to extrapolate waterbody statistics from the site level to regional landscape units. PeRL presents pond and lake estimates for a total area of Published by Copernicus Publications. S. Muster et al.: A circum-Arctic PeRL1.4 × 10 6 km 2 across the Arctic, about 17 % of the Arctic lowland (< 300 m a.s.l.) land surface area. PeRL waterbodies with sizes of 1.0 × 10 6 m 2 down to 1.0 × 10 2 m 2 contributed up to 21 % to the total water fraction. Waterbody density ranged from 1.0 × 10 to 9.4 × 10 1 km −2 . Ponds are the dominant waterbody type by number in all landscapes representing 45-99 % of the total waterbody number. The implementation of PeRL size distributions in land surface models will greatly improve the investigation and projection of surface inundation and carbon fluxes in permafrost lowlands. Waterbody maps, study area boundaries, and maps of regional permafrost landscapes including detailed metadata are available at https://doi.pangaea.de/10.1594/PANGAEA.868349.

show abstract

PeRL: Permafrost Region Pond and Lake Database, links to ArcGIS shapefiles

Cited by 2 publications

References 0 publications

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

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

PeRL: a circum-Arctic Permafrost Region Pond and Lake database

Contact Info

Product

Resources

About