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dc.contributor.authorBeem-Miller, Jeffrey Prescott
dc.date.accessioned2018-04-26T14:16:20Z
dc.date.available2018-04-26T14:16:20Z
dc.date.issued2017-08-30
dc.identifier.otherBeemMiller_cornell_0058O_10204
dc.identifier.otherhttp://dissertations.umi.com/cornell:10204
dc.identifier.otherbibid: 10361475
dc.identifier.urihttps://hdl.handle.net/1813/56798
dc.description.abstractReductions in greenhouse gas emissions must be complimented with increases in negative emissions in order to stabilize atmospheric carbon dioxide concentrations and prevent catastrophic changes in climate. Soil carbon sequestration on arable lands is a negative emissions technology with high climate change mitigation potential that also confers agronomic co-benefits, but variability of soil organic C (SOC) stocks remains both a statistical and financial challenge for verifying SOC sequestration goals. This work is in two parts: 1) improving sampling methods for SOC assessment on rocky soils, and 2) reducing sampling requirements for mapping and modeling field-scale subsoil, topsoil and whole profile SOC stocks via remote and proximal sensing.
dc.language.isoen_US
dc.subjectGeostatistics
dc.subjectProximal sensing
dc.subjectRocky soils
dc.subjectSoil carbon
dc.subjectSoil sampling
dc.subjectSoil sciences
dc.subjectClimate change
dc.subjectEcology
dc.titleSoil Carbon Assessment: Confronting Climate Change on the Farm
dc.typedissertation or thesis
thesis.degree.disciplineHorticultural Biology
thesis.degree.grantorCornell University
thesis.degree.levelMaster of Science
thesis.degree.nameM.S., Horticultural Biology
dc.contributor.chairWolfe, David Walter
dc.contributor.committeeMemberLehmann, C. Johannes
dcterms.licensehttps://hdl.handle.net/1813/59810
dc.identifier.doihttps://doi.org/10.7298/X47P8WHV


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