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- W3089972004 abstract "Abstract In northern Alaska nearly 65% of the terrestrial surface is composed of polygonal ground, where geomorphic tundra landforms disproportionately influence carbon and nutrient cycling over fine spatial scales. Process-based biogeochemical models used for local to Pan-Arctic projections of ecological responses to climate change typically operate at coarse-scales (1km 2 –0.5°) at which fine-scale (<1km 2 ) tundra heterogeneity is often aggregated to the dominant land cover unit. Here, we evaluate the importance of tundra heterogeneity for representing soil carbon dynamics at fine to coarse spatial scales. We leveraged the legacy of data collected near Utqiaġvik, Alaska between 1973 and 2016 for model initiation, parameterization, and validation. Simulation uncertainty increased with a reduced representation of tundra heterogeneity and coarsening of spatial scale. Hierarchical cluster analysis of an ensemble of 21 st -century simulations reveals that a minimum of two tundra landforms (dry and wet) and a maximum of 4km 2 spatial scale is necessary for minimizing uncertainties (<10%) in regional to Pan-Arctic modeling applications." @default.
- W3089972004 created "2020-10-08" @default.
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- W3089972004 date "2020-10-01" @default.
- W3089972004 modified "2023-10-14" @default.
- W3089972004 title "Local-scale Arctic tundra heterogeneity affects regional-scale carbon dynamics" @default.
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- W3089972004 doi "https://doi.org/10.1038/s41467-020-18768-z" @default.
- W3089972004 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7529807" @default.
- W3089972004 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33004822" @default.
- W3089972004 hasPublicationYear "2020" @default.
- W3089972004 type Work @default.