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Frans-Jan Parmentier

Frans-Jan Parmentier

Associate professor

Frans-Jan Parmentier

The boreal-arctic wetland and lake dataset (BAWLD)

Author

  • David Olefeldt
  • Mikael Hovemyr
  • McKenzie A. Kuhn
  • David Bastviken
  • Theodore J. Bohn
  • John Connolly
  • Patrick Crill
  • Eugénie S. Euskirchen
  • Sarah A. Finkelstein
  • Hélène Genet
  • Guido Grosse
  • Lorna I. Harris
  • Liam Heffernan
  • Manuel Helbig
  • Gustaf Hugelius
  • Ryan Hutchins
  • Sari Juutinen
  • Mark J. Lara
  • Avni Malhotra
  • Kristen Manies
  • A. David McGuire
  • Susan M. Natali
  • Jonathan A. O'Donnell
  • Frans Jan W. Parmentier
  • Aleksi Räsänen
  • Christina Schädel
  • Oliver Sonnentag
  • Maria Strack
  • Suzanne E. Tank
  • Claire Treat
  • Ruth K. Varner
  • Tarmo Virtanen
  • Rebecca K. Warren
  • Jennifer D. Watts

Summary, in English

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 Boreal-Arctic 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 × 0.5'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 × 106 km2 (14 % of domain) with a 95 % confidence interval between 2.8 and 3.8 × 106 km2. Bog, fen, and permafrost bog were the most abundant wetland classes, covering ĝ1/4 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 × 106 km2 (6 % of domain). Low-methane-emitting large lakes (>10 km2) 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 km2) 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 × 106 km2. Rivers and streams were estimated to cover 0.12 × 106 km2 (0.5 % of domain), of which 8 % was associated with high-methane-emitting headwaters that drain organic-rich landscapes. Distinct combinations of spatially co-occurring wetland and lake classes were identified across the BAWLD domain, allowing for the mapping of "wetscapes"that have characteristic methane emission magnitudes and sensitivities to climate change at regional scales. With BAWLD, we provide a dataset which avoids double-accounting of wetland, lake, and river extents and which includes confidence intervals for each land cover class. As such, BAWLD will be suitable for many hydrological and biogeochemical modelling and upscaling efforts for the northern boreal and arctic region, in particular those aimed at improving assessments of current and future methane emissions. Data are freely available at 10.18739/A2C824F9X (Olefeldt et al., 2021).

Department/s

  • Dept of Physical Geography and Ecosystem Science
  • MERGE: ModElling the Regional and Global Earth system

Publishing year

2021-11-05

Language

English

Pages

5127-5149

Publication/Series

Earth System Science Data

Volume

13

Issue

11

Document type

Journal article

Publisher

Copernicus GmbH

Topic

  • Physical Geography

Status

Published

ISBN/ISSN/Other

  • ISSN: 1866-3508