Spatial Prediction of Forest Soil Carbon: Spatial Modeling and Geostatistical Approaches
| dc.contributor.advisor | Jim Thompson, Committee Co-Chair | en_US |
| dc.contributor.author | Anderson, Eric Scott | en_US |
| dc.date.accessioned | 2010-04-02T18:31:47Z | |
| dc.date.available | 2010-04-02T18:31:47Z | |
| dc.date.issued | 2004-07-26 | en_US |
| dc.degree.discipline | Soil Science | en_US |
| dc.degree.level | dissertation | en_US |
| dc.degree.name | PhD | en_US |
| dc.description.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. | en_US |
| dc.identifier.other | etd-07082004-164518 | en_US |
| dc.identifier.uri | http://www.lib.ncsu.edu/resolver/1840.16/3544 | |
| dc.rights | I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. | en_US |
| dc.subject | geostatistics | en_US |
| dc.subject | soil carbon | en_US |
| dc.subject | spatial models | en_US |
| dc.subject | DEM | en_US |
| dc.subject | LiDAR | en_US |
| dc.title | Spatial Prediction of Forest Soil Carbon: Spatial Modeling and Geostatistical Approaches | en_US |
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