The Boreal-Arctic Wetland and Lake Dataset (BAWLD)
Methane emissions from boreal and arctic wetlands, lakes, and rivers are expected to increase in response to warming and associated permafrost thaw. However, the lack of appropriate land cover datasets for scaling field-measured methane emissions to circumpolar scales has contributed to a large unce...
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Language: | English |
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Uppsala universitet, Limnologi
2021
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-459902 https://doi.org/10.5194/essd-13-5127-2021 |
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Physical Geography Naturgeografi |
spellingShingle |
Physical Geography Naturgeografi Olefeldt, David Hovemyr, Mikael Kuhn, McKenzie A. Bastviken, David Bohn, Theodore J. Connolly, John Crill, Patrick Euskirchen, Eugenie S. Finkelstein, Sarah A. Genet, Helene Grosse, Guido Harris, Lorna, I Heffernan, Liam Helbig, Manuel Hugelius, Gustaf Hutchins, Ryan Juutinen, Sari Lara, Mark J. Malhotra, Avni Manies, Kristen McGuire, A. David Natali, Susan M. O'Donnell, Jonathan A. Parmentier, Frans-Jan W. Raesaenen, Aleksi Schaedel, Christina Sonnentag, Oliver Strack, Maria Tank, Suzanne E. Treat, Claire Varner, Ruth K. Virtanen, Tarmo Warren, Rebecca K. Watts, Jennifer D. The Boreal-Arctic Wetland and Lake Dataset (BAWLD) |
topic_facet |
Physical Geography Naturgeografi |
description |
Methane emissions from boreal and arctic wetlands, lakes, and rivers are expected to increase in response to warming and associated permafrost thaw. However, the lack of appropriate land cover datasets for scaling field-measured methane emissions to circumpolar scales has contributed to a large uncertainty for our understanding of present-day and future methane emissions. Here we present the BorealArctic Wetland and Lake Dataset (BAWLD), a land cover dataset based on an expert assessment, extrapolated using random forest modelling from available spatial datasets of climate, topography, soils, permafrost conditions, vegetation, wetlands, and surface water extents and dynamics. In BAWLD, we estimate the fractional coverage of five wetland, seven lake, and three river classes within 0.5 x 0.5 degrees grid cells that cover the northern boreal and tundra biomes (17 % of the global land surface). Land cover classes were defined using criteria that ensured distinct methane emissions among classes, as indicated by a co-developed comprehensive dataset of methane flux observations. In BAWLD, wetlands occupied 3.2 x 10(6) km(2) (14 % of domain) with a 95 % confidence interval between 2.8 and 3.8 x 10(6) km(2). Bog, fen, and permafrost bog were the most abundant wetland classes, covering similar to 28 % each of the total wetland area, while the highest-methane-emitting marsh and tundra wetland classes occupied 5 % and 12 %, respectively. Lakes, defined to include all lentic open-water ecosystems regardless of size, covered 1.4 x 10(6) km(2) (6 % of domain). Low-methane-emitting large lakes (>10 km(2)) and glacial lakes jointly represented 78 % of the total lake area, while high-emitting peatland and yedoma lakes covered 18 % and 4 %, respectively. Small (<0.1 km(2)) glacial, peatland, and yedoma lakes combined covered 17 % of the total lake area but contributed disproportionally to the overall spatial uncertainty in lake area with a 95 % confidence interval between 0.15 and 0.38 x 10(6) km(2). Rivers and streams were ... |
format |
Article in Journal/Newspaper |
author |
Olefeldt, David Hovemyr, Mikael Kuhn, McKenzie A. Bastviken, David Bohn, Theodore J. Connolly, John Crill, Patrick Euskirchen, Eugenie S. Finkelstein, Sarah A. Genet, Helene Grosse, Guido Harris, Lorna, I Heffernan, Liam Helbig, Manuel Hugelius, Gustaf Hutchins, Ryan Juutinen, Sari Lara, Mark J. Malhotra, Avni Manies, Kristen McGuire, A. David Natali, Susan M. O'Donnell, Jonathan A. Parmentier, Frans-Jan W. Raesaenen, Aleksi Schaedel, Christina Sonnentag, Oliver Strack, Maria Tank, Suzanne E. Treat, Claire Varner, Ruth K. Virtanen, Tarmo Warren, Rebecca K. Watts, Jennifer D. |
author_facet |
Olefeldt, David Hovemyr, Mikael Kuhn, McKenzie A. Bastviken, David Bohn, Theodore J. Connolly, John Crill, Patrick Euskirchen, Eugenie S. Finkelstein, Sarah A. Genet, Helene Grosse, Guido Harris, Lorna, I Heffernan, Liam Helbig, Manuel Hugelius, Gustaf Hutchins, Ryan Juutinen, Sari Lara, Mark J. Malhotra, Avni Manies, Kristen McGuire, A. David Natali, Susan M. O'Donnell, Jonathan A. Parmentier, Frans-Jan W. Raesaenen, Aleksi Schaedel, Christina Sonnentag, Oliver Strack, Maria Tank, Suzanne E. Treat, Claire Varner, Ruth K. Virtanen, Tarmo Warren, Rebecca K. Watts, Jennifer D. |
author_sort |
Olefeldt, David |
title |
The Boreal-Arctic Wetland and Lake Dataset (BAWLD) |
title_short |
The Boreal-Arctic Wetland and Lake Dataset (BAWLD) |
title_full |
The Boreal-Arctic Wetland and Lake Dataset (BAWLD) |
title_fullStr |
The Boreal-Arctic Wetland and Lake Dataset (BAWLD) |
title_full_unstemmed |
The Boreal-Arctic Wetland and Lake Dataset (BAWLD) |
title_sort |
boreal-arctic wetland and lake dataset (bawld) |
publisher |
Uppsala universitet, Limnologi |
publishDate |
2021 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-459902 https://doi.org/10.5194/essd-13-5127-2021 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic permafrost Tundra |
genre_facet |
Arctic permafrost Tundra |
op_relation |
Earth System Science Data, 1866-3508, 2021, 13:11, s. 5127-5149 http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-459902 doi:10.5194/essd-13-5127-2021 ISI:000715853400001 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/essd-13-5127-2021 |
container_title |
Earth System Science Data |
container_volume |
13 |
container_issue |
11 |
container_start_page |
5127 |
op_container_end_page |
5149 |
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1790596905162506240 |
spelling |
ftuppsalauniv:oai:DiVA.org:uu-459902 2024-02-11T10:01:09+01:00 The Boreal-Arctic Wetland and Lake Dataset (BAWLD) Olefeldt, David Hovemyr, Mikael Kuhn, McKenzie A. Bastviken, David Bohn, Theodore J. Connolly, John Crill, Patrick Euskirchen, Eugenie S. Finkelstein, Sarah A. Genet, Helene Grosse, Guido Harris, Lorna, I Heffernan, Liam Helbig, Manuel Hugelius, Gustaf Hutchins, Ryan Juutinen, Sari Lara, Mark J. Malhotra, Avni Manies, Kristen McGuire, A. David Natali, Susan M. O'Donnell, Jonathan A. Parmentier, Frans-Jan W. Raesaenen, Aleksi Schaedel, Christina Sonnentag, Oliver Strack, Maria Tank, Suzanne E. Treat, Claire Varner, Ruth K. Virtanen, Tarmo Warren, Rebecca K. Watts, Jennifer D. 2021 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-459902 https://doi.org/10.5194/essd-13-5127-2021 eng eng Uppsala universitet, Limnologi Univ Alberta, Dept Renewable Resources, Edmonton, AB T6G 2G7, Canada. Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, Sweden. Linköping Univ, Dept Themat Studies Environm Change, S-58183 Linköping, Sweden. WattIQ, 400 Oyster Point Blvd Suite 414, San Francisco, CA 94080 USA. Trinity Coll Dublin, Sch Nat Sci, Dept Geog, Dublin 2, Ireland. Stockholm Univ, Dept Geol Sci, S-10691 Stockholm, Sweden. Univ Alaska Fairbanks, Dept Biol & Wildlife, Fairbanks, AK 99775 USA.;Univ Alaska Fairbanks, Inst Arctic Biol, Fairbanks, AK 99775 USA. Univ Toronto, Dept Earth Sci, Toronto, ON M5S 3B1, Canada. Univ Alaska Fairbanks, Inst Arctic Biol, Fairbanks, AK 99775 USA. Alfred Wegener Inst, Helmholtz Ctr Polar & Marine Res, Permafrost Res Sect, D-14473 Potsdam, Germany.;Univ Potsdam, Inst Geosci, D-14476 Potsdam, Germany. Dalhousie Univ, Dept Phys & Atmospher Sci, Halifax, NS B3H 4R2, Canada. Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, Sweden.;Stockholm Univ, Bolin Ctr Climate Res, S-10691 Stockholm, Sweden. Univ Waterloo, Dept Earth & Environm Sci, Waterloo, ON N2L 3G1, Canada. Univ Helsinki, Ecosyst & Environm Res Program, FIN-00014 Helsinki, Finland. Univ Illinois, Dept Plant Biol, Urbana, IL 61801 USA.;Univ Illinois, Dept Geog, Urbana, IL 61801 USA. Stanford Univ, Dept Earth Syst Sci, Stanford, CA 94305 USA. US Geol Survey, 345 Middlefield Rd, Menlo Pk, CA 94025 USA. Woodwell Climate Res Ctr, Falmouth, MA 02540 USA. Natl Pk Serv, Arctic Network, Anchorage, AK 99501 USA. Univ Oslo, Ctr Biogeochem Anthropocene, Dept Geosci, N-0315 Oslo, Norway.;Lund Univ, Dept Phys Geog & Ecosyst Sci, S-22362 Lund, Sweden. Univ Helsinki, Ecosyst & Environm Res Programme, Fac Biol & Environm Sci, FIN-00014 Helsinki, Finland. No Arizona Univ, Ctr Ecosyst Sci & Soc, Flagstaff, AZ 86011 USA. Univ Montreal, Dept Geog, Montreal, PQ, Canada. Univ Waterloo, Dept Geog & Environm Management, Waterloo, ON N2L 3G1, Canada. ; Earth System Science Data, 1866-3508, 2021, 13:11, s. 5127-5149 http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-459902 doi:10.5194/essd-13-5127-2021 ISI:000715853400001 info:eu-repo/semantics/openAccess Physical Geography Naturgeografi Article in journal info:eu-repo/semantics/article text 2021 ftuppsalauniv https://doi.org/10.5194/essd-13-5127-2021 2024-01-17T23:32:02Z Methane emissions from boreal and arctic wetlands, lakes, and rivers are expected to increase in response to warming and associated permafrost thaw. However, the lack of appropriate land cover datasets for scaling field-measured methane emissions to circumpolar scales has contributed to a large uncertainty for our understanding of present-day and future methane emissions. Here we present the BorealArctic Wetland and Lake Dataset (BAWLD), a land cover dataset based on an expert assessment, extrapolated using random forest modelling from available spatial datasets of climate, topography, soils, permafrost conditions, vegetation, wetlands, and surface water extents and dynamics. In BAWLD, we estimate the fractional coverage of five wetland, seven lake, and three river classes within 0.5 x 0.5 degrees grid cells that cover the northern boreal and tundra biomes (17 % of the global land surface). Land cover classes were defined using criteria that ensured distinct methane emissions among classes, as indicated by a co-developed comprehensive dataset of methane flux observations. In BAWLD, wetlands occupied 3.2 x 10(6) km(2) (14 % of domain) with a 95 % confidence interval between 2.8 and 3.8 x 10(6) km(2). Bog, fen, and permafrost bog were the most abundant wetland classes, covering similar to 28 % each of the total wetland area, while the highest-methane-emitting marsh and tundra wetland classes occupied 5 % and 12 %, respectively. Lakes, defined to include all lentic open-water ecosystems regardless of size, covered 1.4 x 10(6) km(2) (6 % of domain). Low-methane-emitting large lakes (>10 km(2)) and glacial lakes jointly represented 78 % of the total lake area, while high-emitting peatland and yedoma lakes covered 18 % and 4 %, respectively. Small (<0.1 km(2)) glacial, peatland, and yedoma lakes combined covered 17 % of the total lake area but contributed disproportionally to the overall spatial uncertainty in lake area with a 95 % confidence interval between 0.15 and 0.38 x 10(6) km(2). Rivers and streams were ... Article in Journal/Newspaper Arctic permafrost Tundra Uppsala University: Publications (DiVA) Arctic Earth System Science Data 13 11 5127 5149 |