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RCCZO -- GIS / Map Data, LiDAR, Land Cover, Topographic Carbon Storage, Soil Biogeochemistry -- Near-surface soil organic carbon maps -- Reynolds Creek Experimental Watershed -- (2014-2017)


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Created: Feb 25, 2020 at 9:31 p.m.
Last updated: Apr 24, 2020 at 5:21 p.m.
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Abstract

The SOC (Soil Organic Carbon) pool is a large carbon reservoir that is closely linked to climatic drivers. In complex terrain, quantifying SOC storage is challenging due to high spatial variability. Generally, point data is distributed by developing quantitative relationships between SOC and spatially-distributed, variables like elevation. In many ecosystems, remotely sensed information on above-ground vegetation (e.g. NDVI) can be used to predict below-ground carbon stocks. With this research, we evaluated SOC variability in complex terrain and attempt to improve upon SOC models by incorporating hyperspectral and LiDAR datasets.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Longitude
-116.7449°
Latitude
43.2021°

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Additional Metadata

Name Value
DOI https://doi.org/10.18122/B2Q598
Recommended Citation Will, Ryan M.; Benner, Shawn; Glenn, Nancy F.; Pierce, Jennifer; Lohse, Kathleen A.; Patton, Nicholas; Spaete, Lucas P.; and Stanbery, Christopher. (2017). Reynolds Creek – A Collection of Near-Surface Soil Organic Carbon (SOC) Maps, GIS/Map Data (2017) [Data set]. Retrieved from https://doi.org/10.18122/B2Q598
BSU ScholarWorks LInk https://scholarworks.boisestate.edu/reynoldscreek/2/

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation Reynolds Creek Critical Zone Observatory EAR-1331872

Contributors

People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name Organization Address Phone Author Identifiers
USDA-ARS Northwest Watershed Research Center Reynolds Creek Experimental Watershed
Boise State University

How to Cite

Will, R. M., S. Benner, N. F. Glenn, J. Pierce, K. A. Lohse, N. Patton, L. P. Spaete, C. Stanbery (2020). RCCZO -- GIS / Map Data, LiDAR, Land Cover, Topographic Carbon Storage, Soil Biogeochemistry -- Near-surface soil organic carbon maps -- Reynolds Creek Experimental Watershed -- (2014-2017), HydroShare, http://www.hydroshare.org/resource/2b024ba9fec34a5ea91a202bbc0a36dd

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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