TY - JOUR
T1 - Tundra landform and vegetation productivity trend maps for the arctic coastal plain of Northern Alaska
AU - Lara, Mark J.
AU - Nitze, Ingmar
AU - Grosse, Guido
AU - David McGuire, A.
N1 - Funding Information:
M.J.L. was supported by the Department of Interior’s Arctic Landscape Conservation Cooperative, U.S. Department of Energy Next-Generation Ecosystem Experiments (NGEE-arctic) project, and UI School of Integrative Biology STEM Diversity program. I.N. and G.G. were supported by ERC #338335, HGF ERC-0013, and ESA GlobPermafrost. A.D.M. was supported by a grant from the U.S. Geological Survey’s Alaska Climate Science Center. We thank Philip Martin for initial discussions that lead to the conceptualization of the polygonal tundra map. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
PY - 2018/4/10
Y1 - 2018/4/10
N2 - Arctic tundra landscapes are composed of a complex mosaic of patterned ground features, varying in soil moisture, vegetation composition, and surface hydrology over small spatial scales (10-100 m). The importance of microtopography and associated geomorphic landforms in influencing ecosystem structure and function is well founded, however, spatial data products describing local to regional scale distribution of patterned ground or polygonal tundra geomorphology are largely unavailable. Thus, our understanding of local impacts on regional scale processes (e.g., carbon dynamics) may be limited. We produced two key spatiotemporal datasets spanning the Arctic Coastal Plain of northern Alaska (~60,000 km2) to evaluate climate-geomorphological controls on arctic tundra productivity change, using (1) a novel 30 m classification of polygonal tundra geomorphology and (2) decadal-trends in surface greenness using the Landsat archive (1999-2014). These datasets can be easily integrated and adapted in an array of local to regional applications such as (1) upscaling plot-level measurements (e.g., carbon/energy fluxes), (2) mapping of soils, vegetation, or permafrost, and/or (3) initializing ecosystem biogeochemistry, hydrology, and/or habitat modeling.
AB - Arctic tundra landscapes are composed of a complex mosaic of patterned ground features, varying in soil moisture, vegetation composition, and surface hydrology over small spatial scales (10-100 m). The importance of microtopography and associated geomorphic landforms in influencing ecosystem structure and function is well founded, however, spatial data products describing local to regional scale distribution of patterned ground or polygonal tundra geomorphology are largely unavailable. Thus, our understanding of local impacts on regional scale processes (e.g., carbon dynamics) may be limited. We produced two key spatiotemporal datasets spanning the Arctic Coastal Plain of northern Alaska (~60,000 km2) to evaluate climate-geomorphological controls on arctic tundra productivity change, using (1) a novel 30 m classification of polygonal tundra geomorphology and (2) decadal-trends in surface greenness using the Landsat archive (1999-2014). These datasets can be easily integrated and adapted in an array of local to regional applications such as (1) upscaling plot-level measurements (e.g., carbon/energy fluxes), (2) mapping of soils, vegetation, or permafrost, and/or (3) initializing ecosystem biogeochemistry, hydrology, and/or habitat modeling.
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U2 - 10.1038/sdata.2018.58
DO - 10.1038/sdata.2018.58
M3 - Article
C2 - 29633984
AN - SCOPUS:85045346607
VL - 5
JO - Scientific data
JF - Scientific data
SN - 2052-4463
M1 - 180058
ER -