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Boundaries of landscape block polygons analyzed for the paper, “Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions”
The polygons in this shapefile accompany the paper, “Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions,” by Sadinski et al. (submitted). The paper describes relations between climate dynamics and key ecological conditions and processes on wetland-upland landscapes in > 30 sites distributed across four study areas in the midwestern United States. The variables studied included both ground- and satellite-based measures. The polygons in this shapefile pertain to the latter and provide the boundaries of 4-km2 blocks that subsume the field sites and provide a landscape perspective for the timing and duration of snow, evapotranspiration, and photosynthetic activity from 2008 to 2012 from January through August. The data for these variables are provided in a separate tabular file (xxx insert reference link xxx) that links to this shapefile by a shared field called BlockSite. Citation: Sadinski, W., Gallant, A.L., Roth, M., Brown, J., Senay, G., Brininger, W., and Stoker, J., Submitted 2017, Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions: PLOS ONE.
Author(s) | Elisabeth A Gallant |
Publication Date | 2017 |
Beginning Date of Data | 2008-01-01 |
Ending Date of Data | 2012-08-31 |
Data Contact | |
DOI | https://doi.org/10.5066/F7HH6J1S |
Citation | Gallant, E.A., 2017, Boundaries of landscape block polygons analyzed for the paper, “Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions”: U.S. Geological Survey data release, https://doi.org/10.5066/F7HH6J1S. |
Metadata Contact | |
Metadata Date | 2022-06-23 |
Related Publication | Loading... |
Citations of these data | Loading https://doi.org/10.1002/rra.3122 |
Access | public |
License | http://www.usa.gov/publicdomain/label/1.0/ |
Harvest Date: 2024-09-03T10:21:07.825Z