Sensitivity of ecosystem net primary productivity models to remotely sensed leaf area index in a montane forest environment

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dc.contributor.authorDavidson, Diedre P.
dc.contributor.authorUniversity of Lethbridge. Faculty of Arts and Science
dc.contributor.supervisorPeddle, Derek Roland
dc.date.accessioned2007-04-25T19:38:01Z
dc.date.available2007-04-25T19:38:01Z
dc.date.issued2002
dc.degree.levelMasters
dc.descriptionxii, 181 leaves : ill. ; 28 cm.en
dc.description.abstractNet primary productivity (NPP) is a key ecological parameter that is important in estimating carbon stocks in large forested areas. NPP is estimated using models of which leaf area index (LAI) is a key input. This research computes a variety of ground-based and remote sensing LAI estimation approaches and examines the impact of these estimates on modeled NPP. A relative comparison of ground-based LAI estimates from optical and allometric techniques showed that the integrated LAI-2000 and TRAC method was preferred. Spectral mixture analysis (SMA), accounting for subpixel influences on reflectance, outperformed vegetation indices in LAI prediction from remote sensing. LAI was shown to be the most important variable in modeled NPP in the Kananaskis, Alberta region compared to soil water content (SWC) and climate inputs. The variability in LAI and NPP estimates were not proportional, from which a threshold was suggested where first LAI is limiting than water availability.en
dc.identifier.urihttps://hdl.handle.net/10133/155
dc.language.isoen_USen
dc.publisherLethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2002en
dc.publisher.departmentDepartment of Geography
dc.publisher.facultyArts and Science
dc.relation.ispartofseriesThesis (University of Lethbridge. Faculty of Arts and Science)en
dc.subjectForests and forestry -- Alberta -- Kananaskis Region -- Researchen
dc.subjectForests and forestry -- Alberta -- Kananaskis Region -- Remote sensingen
dc.subjectForest management -- Albertaen
dc.subjectDissertations, Academicen
dc.titleSensitivity of ecosystem net primary productivity models to remotely sensed leaf area index in a montane forest environmenten
dc.typeThesisen
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