Coarse land cover datasets bias Arctic-Boreal wetland methane budgets

Details

• Journal Title:
  Communications Earth & Environment
• Personal Author:
  Hashemi, Josh ; Räsänen, Aleksi ; Virtanen, Tarmo ; Juutinen, Sari ; Grosse, Guido ; Aurela, Mika ; Bartsch, Annett ; Chasmer, Laura ; Davidson, Scott J. ; Korkiakoski, Mika
• NOAA Program & Office:
  CESSRST (Cooperative Science Center for Earth System Sciences and Remote Sensing Technologies)
• Description:
  Accurate methane (CH4) emission estimates from Arctic and boreal wetlands are essential for reducing global budget uncertainties but are hindered by poorly constrained wetland distribution and classification. We assessed how land cover map resolution and thematic detail influence these estimates. Using very high spatial resolution land cover maps (≤2.5 m) with five to seven harmonized classes and 4–50% wetland coverage, we estimated CH4 emissions across seven Arctic and boreal sites in North America and Eurasia. Resampling to coarser resolutions (up to 5 km) revealed that CH4 flux estimates remained within 13% error when resolution was ≤25 m pixel size. At resolutions coarser than 1 km, four of seven sites shifted from net CH4 source to sink, due to misrepresentation of wetland extent in heterogeneous landscapes with small, fragmented wetlands. Thematic detail also proved critical, as fens—high CH4 emitters—were disproportionately underrepresented in coarse (>1 km) maps relative to other wetland types. We also show that existing global or circumpolar land cover maps tend to misrepresent wetlands, either overlooking smaller features or overestimating coverage in wetland dominated areas. Our findings indicate that coarse-scale land cover datasets are unsuitable for estimating CH4 budgets in these regions, where high spatial resolution and biogeochemically relevant land cover classes are essential for reliable CH4 emission upscaling.
• Keywords:
  Coasts Methane Nitrous Oxide Nitrous Oxide Arctic Wetland Boreal Wetland Nitrous Oxide
• Source:
  Commun Earth Environ 6, 903 (2025)
• DOI:
  https://doi.org/10.1038/s43247-025-02963-1
• Format:
  PDF
• Document Type:
  Journal Article
• Funding:
  Grant No. NA16SEC4810008
• License:
  https://creativecommons.org/licenses/by/4.0/
• Rights Information:
  CC BY
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha-512:792f926a927aa96fc0c48231c69653e6d337c7f600bf4ce73060f3c8613b1f455c37addfde31bf5fb78351b10af8da1e0a7cf27090efc97fcb1c82a8d403f1c4
• Download URL:
  https://repository.library.noaa.gov/view/noaa/72899/noaa_72899_DS1.pdf
• File Type:
  [PDF - 1.18 MB ]