Coarse land cover datasets bias Arctic-Boreal wetland methane budgets.
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| Format: | Artículo científico |
| Sprache: | en |
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Communications earth & environment
2025
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| author | Hashemi, Josh Räsänen, Aleksi Virtanen, Tarmo Juutinen, Sari Grosse, Guido Aurela, Mika Bartsch, Annett Chasmer, Laura Davidson, Scott J Korkiakoski, Mika Kuhn, McKenzie A Lara, Mark J Luoto, Miska Niittynen, Pekka Olefeldt, David Sonnentag, Oliver Virkkala, Anna-Maria Voigt, Carolina Treat, Claire C |
| author_facet | Hashemi, Josh Räsänen, Aleksi Virtanen, Tarmo Juutinen, Sari Grosse, Guido Aurela, Mika Bartsch, Annett Chasmer, Laura Davidson, Scott J Korkiakoski, Mika Kuhn, McKenzie A Lara, Mark J Luoto, Miska Niittynen, Pekka Olefeldt, David Sonnentag, Oliver Virkkala, Anna-Maria Voigt, Carolina Treat, Claire C Hashemi, Josh Räsänen, Aleksi Virtanen, Tarmo Juutinen, Sari Grosse, Guido Aurela, Mika Bartsch, Annett Chasmer, Laura Davidson, Scott J Korkiakoski, Mika Kuhn, McKenzie A Lara, Mark J Luoto, Miska Niittynen, Pekka Olefeldt, David Sonnentag, Oliver Virkkala, Anna-Maria Voigt, Carolina Treat, Claire C |
| collection | PubMed - marine biology |
| contents | Coarse land cover datasets bias Arctic-Boreal wetland methane budgets. Hashemi, Josh Räsänen, Aleksi Virtanen, Tarmo Juutinen, Sari Grosse, Guido Aurela, Mika Bartsch, Annett Chasmer, Laura Davidson, Scott J Korkiakoski, Mika Kuhn, McKenzie A Lara, Mark J Luoto, Miska Niittynen, Pekka Olefeldt, David Sonnentag, Oliver Virkkala, Anna-Maria Voigt, Carolina Treat, Claire C Accurate methane (CH) 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 CH emissions across seven Arctic and boreal sites in North America and Eurasia. Resampling to coarser resolutions (up to 5 km) revealed that CH 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 CH source to sink, due to misrepresentation of wetland extent in heterogeneous landscapes with small, fragmented wetlands. Thematic detail also proved critical, as fens-high CH 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 CH budgets in these regions, where high spatial resolution and biogeochemically relevant land cover classes are essential for reliable CH emission upscaling. |
| format | Artículo científico |
| id | pubmed_41245527 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | Communications earth & environment |
| record_format | pubmed |
| spellingShingle | Coarse land cover datasets bias Arctic-Boreal wetland methane budgets. Hashemi, Josh Räsänen, Aleksi Virtanen, Tarmo Juutinen, Sari Grosse, Guido Aurela, Mika Bartsch, Annett Chasmer, Laura Davidson, Scott J Korkiakoski, Mika Kuhn, McKenzie A Lara, Mark J Luoto, Miska Niittynen, Pekka Olefeldt, David Sonnentag, Oliver Virkkala, Anna-Maria Voigt, Carolina Treat, Claire C Coarse land cover datasets bias Arctic-Boreal wetland methane budgets. Hashemi, Josh Räsänen, Aleksi Virtanen, Tarmo Juutinen, Sari Grosse, Guido Aurela, Mika Bartsch, Annett Chasmer, Laura Davidson, Scott J Korkiakoski, Mika Kuhn, McKenzie A Lara, Mark J Luoto, Miska Niittynen, Pekka Olefeldt, David Sonnentag, Oliver Virkkala, Anna-Maria Voigt, Carolina Treat, Claire C Accurate methane (CH) 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 CH emissions across seven Arctic and boreal sites in North America and Eurasia. Resampling to coarser resolutions (up to 5 km) revealed that CH 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 CH source to sink, due to misrepresentation of wetland extent in heterogeneous landscapes with small, fragmented wetlands. Thematic detail also proved critical, as fens-high CH 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 CH budgets in these regions, where high spatial resolution and biogeochemically relevant land cover classes are essential for reliable CH emission upscaling. |
| title | Coarse land cover datasets bias Arctic-Boreal wetland methane budgets. |
| url | https://pubmed.ncbi.nlm.nih.gov/41245527/ |