Quantifying catchment scale soil variability in Marshall Gulch, Santa Catalina Mountains Critical Zone Observatory

Persistent Link:
http://hdl.handle.net/10150/294023
Title:
Quantifying catchment scale soil variability in Marshall Gulch, Santa Catalina Mountains Critical Zone Observatory
Author:
Holleran, Molly E.
Issue Date:
2013
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
The quantification and prediction of soil properties is fundamental to further understanding the Critical Zone (CZ). In this study we aim to quantify and predict soil properties within a forested catchment, Marshall Gulch, AZ. Input layers of soil depth (modeled), slope, Saga wetness index, remotely sensed normalized difference vegetation index (NDVI) and national agriculture imagery program (NAIP) bands 3/2 were determined to account for 95% of landscape variance and used as model predictors. Target variables including soil depth (cm), carbon (kg/m²), clay (%), Na flux (kg/m²), pH, and strain are predicted using multivariate linear step-wise regression models. Our results show strong correlations of soil properties with the drainage systems in the MG catchment. We observe deeper soils, higher clay content, higher carbon content, and more Na loss within the drainages of the catchment in contrast to the adjacent slopes and ridgelines.
Type:
text; Electronic Thesis
Keywords:
multivariate regression; pedology; soil weathering; spatial analysis; Soil, Water & Environmental Science; GIS
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Soil, Water & Environmental Science
Degree Grantor:
University of Arizona
Advisor:
Rasmussen, Craig

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleQuantifying catchment scale soil variability in Marshall Gulch, Santa Catalina Mountains Critical Zone Observatoryen_US
dc.creatorHolleran, Molly E.en_US
dc.contributor.authorHolleran, Molly E.en_US
dc.date.issued2013-
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThe quantification and prediction of soil properties is fundamental to further understanding the Critical Zone (CZ). In this study we aim to quantify and predict soil properties within a forested catchment, Marshall Gulch, AZ. Input layers of soil depth (modeled), slope, Saga wetness index, remotely sensed normalized difference vegetation index (NDVI) and national agriculture imagery program (NAIP) bands 3/2 were determined to account for 95% of landscape variance and used as model predictors. Target variables including soil depth (cm), carbon (kg/m²), clay (%), Na flux (kg/m²), pH, and strain are predicted using multivariate linear step-wise regression models. Our results show strong correlations of soil properties with the drainage systems in the MG catchment. We observe deeper soils, higher clay content, higher carbon content, and more Na loss within the drainages of the catchment in contrast to the adjacent slopes and ridgelines.en_US
dc.typetexten_US
dc.typeElectronic Thesisen_US
dc.subjectmultivariate regressionen_US
dc.subjectpedologyen_US
dc.subjectsoil weatheringen_US
dc.subjectspatial analysisen_US
dc.subjectSoil, Water & Environmental Scienceen_US
dc.subjectGISen_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineSoil, Water & Environmental Scienceen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorRasmussen, Craigen_US
dc.contributor.committeememberChorover, Jonen_US
dc.contributor.committeememberGuertin, David P.en_US
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