PeRL: a circum-Arctic Permafrost Region Pond and Lake database
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 inv...
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Online Access: | https://doi.org/10.5194/essd-9-317-2017 https://essd.copernicus.org/articles/9/317/2017/ |
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ftcopernicus:oai:publications.copernicus.org:essd55877 2023-05-15T14:48:42+02:00 PeRL: a circum-Arctic Permafrost Region Pond and Lake database Muster, Sina Roth, Kurt Langer, Moritz Lange, Stephan Cresto Aleina, Fabio Bartsch, Annett Morgenstern, Anne Grosse, Guido Jones, Benjamin Sannel, A. Britta K. Sjöberg, Ylva Günther, Frank Andresen, Christian Veremeeva, Alexandra Lindgren, Prajna R. Bouchard, Frédéric Lara, Mark J. Fortier, Daniel Charbonneau, Simon Virtanen, Tarmo A. Hugelius, Gustaf Palmtag, Juri Siewert, Matthias B. Riley, William J. Koven, Charles D. Boike, Julia 2018-09-27 application/pdf https://doi.org/10.5194/essd-9-317-2017 https://essd.copernicus.org/articles/9/317/2017/ eng eng doi:10.5194/essd-9-317-2017 https://essd.copernicus.org/articles/9/317/2017/ eISSN: 1866-3516 Text 2018 ftcopernicus https://doi.org/10.5194/essd-9-317-2017 2020-07-20T16:23:43Z 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 (2002–2013) 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 1. 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 . Text Arctic Ice permafrost Tundra Alaska Copernicus Publications: E-Journals Arctic Canada Earth System Science Data 9 1 317 348 |
institution |
Open Polar |
collection |
Copernicus Publications: E-Journals |
op_collection_id |
ftcopernicus |
language |
English |
description |
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 (2002–2013) 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 1. 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 . |
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Text |
author |
Muster, Sina Roth, Kurt Langer, Moritz Lange, Stephan Cresto Aleina, Fabio Bartsch, Annett Morgenstern, Anne Grosse, Guido Jones, Benjamin Sannel, A. Britta K. Sjöberg, Ylva Günther, Frank Andresen, Christian Veremeeva, Alexandra Lindgren, Prajna R. Bouchard, Frédéric Lara, Mark J. Fortier, Daniel Charbonneau, Simon Virtanen, Tarmo A. Hugelius, Gustaf Palmtag, Juri Siewert, Matthias B. Riley, William J. Koven, Charles D. Boike, Julia |
spellingShingle |
Muster, Sina Roth, Kurt Langer, Moritz Lange, Stephan Cresto Aleina, Fabio Bartsch, Annett Morgenstern, Anne Grosse, Guido Jones, Benjamin Sannel, A. Britta K. Sjöberg, Ylva Günther, Frank Andresen, Christian Veremeeva, Alexandra Lindgren, Prajna R. Bouchard, Frédéric Lara, Mark J. Fortier, Daniel Charbonneau, Simon Virtanen, Tarmo A. Hugelius, Gustaf Palmtag, Juri Siewert, Matthias B. Riley, William J. Koven, Charles D. Boike, Julia PeRL: a circum-Arctic Permafrost Region Pond and Lake database |
author_facet |
Muster, Sina Roth, Kurt Langer, Moritz Lange, Stephan Cresto Aleina, Fabio Bartsch, Annett Morgenstern, Anne Grosse, Guido Jones, Benjamin Sannel, A. Britta K. Sjöberg, Ylva Günther, Frank Andresen, Christian Veremeeva, Alexandra Lindgren, Prajna R. Bouchard, Frédéric Lara, Mark J. Fortier, Daniel Charbonneau, Simon Virtanen, Tarmo A. Hugelius, Gustaf Palmtag, Juri Siewert, Matthias B. Riley, William J. Koven, Charles D. Boike, Julia |
author_sort |
Muster, Sina |
title |
PeRL: a circum-Arctic Permafrost Region Pond and Lake database |
title_short |
PeRL: a circum-Arctic Permafrost Region Pond and Lake database |
title_full |
PeRL: a circum-Arctic Permafrost Region Pond and Lake database |
title_fullStr |
PeRL: a circum-Arctic Permafrost Region Pond and Lake database |
title_full_unstemmed |
PeRL: a circum-Arctic Permafrost Region Pond and Lake database |
title_sort |
perl: a circum-arctic permafrost region pond and lake database |
publishDate |
2018 |
url |
https://doi.org/10.5194/essd-9-317-2017 https://essd.copernicus.org/articles/9/317/2017/ |
geographic |
Arctic Canada |
geographic_facet |
Arctic Canada |
genre |
Arctic Ice permafrost Tundra Alaska |
genre_facet |
Arctic Ice permafrost Tundra Alaska |
op_source |
eISSN: 1866-3516 |
op_relation |
doi:10.5194/essd-9-317-2017 https://essd.copernicus.org/articles/9/317/2017/ |
op_doi |
https://doi.org/10.5194/essd-9-317-2017 |
container_title |
Earth System Science Data |
container_volume |
9 |
container_issue |
1 |
container_start_page |
317 |
op_container_end_page |
348 |
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1766319797476261888 |