Spatial Prediction of Forest Soil Carbon: Spatial Modeling and Geostatistical Approaches
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Date
2004-07-26
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Abstract
Understanding the carbon cycle is one of the most difficult challenges facing scientists studying the global environment.A series of studies were undertaken to explore a number of current issues that contribute to our inability to model SOC on a regional or landscape scale. Investigation into the spatial distribution of SOC occurred on a 32,500 ha forest ecosystem located entirely within the bounds of Hofmann Forest. LiDAR evaluations indicated that data reduction was possible while still maintaining DEM quality. Spatial modeling efforts proved troublesome for flat landscapes.
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Keywords
geostatistics, soil carbon, spatial models, DEM, LiDAR
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Degree
PhD
Discipline
Soil Science
