A spatial modeling approach for predicting forage production and utilization on a semidesert grassland

Persistent Link:
http://hdl.handle.net/10150/278311
Title:
A spatial modeling approach for predicting forage production and utilization on a semidesert grassland
Author:
Wissler, Craig Alan, 1959-
Issue Date:
1993
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:
Geographic analysis procedures and multiple linear regression techniques are applied to the problem of generalizing forage production and utilization information from sample point data. The study involves the application of these procedures to predict the spatial variability of mean production and utilization of Digitaria californica on the Santa Rita Experimental Range near Tucson, Arizona. Analysis of ten-year means from data collected between 1957 and 1966 indicate that variability in production is a function of mean summer precipitation and elevation. Variability in utilization is found to be a function of land slope and distance from livestock water. Geostatistical procedures are used to estimate mean summer precipitation. A geographic information system (GIS) is used to automate multiple linear regression functions for points in a raster data structure. The geographic analysis procedures are used to describe the spatial variability of the data in a mapped form. Management applications of the approach are demonstrated.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Agriculture, Range Management.
Degree Name:
M.L.Arch.
Degree Level:
masters
Degree Program:
Graduate College
Degree Grantor:
University of Arizona
Advisor:
Guertin, D. Phillip

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleA spatial modeling approach for predicting forage production and utilization on a semidesert grasslanden_US
dc.creatorWissler, Craig Alan, 1959-en_US
dc.contributor.authorWissler, Craig Alan, 1959-en_US
dc.date.issued1993en_US
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.abstractGeographic analysis procedures and multiple linear regression techniques are applied to the problem of generalizing forage production and utilization information from sample point data. The study involves the application of these procedures to predict the spatial variability of mean production and utilization of Digitaria californica on the Santa Rita Experimental Range near Tucson, Arizona. Analysis of ten-year means from data collected between 1957 and 1966 indicate that variability in production is a function of mean summer precipitation and elevation. Variability in utilization is found to be a function of land slope and distance from livestock water. Geostatistical procedures are used to estimate mean summer precipitation. A geographic information system (GIS) is used to automate multiple linear regression functions for points in a raster data structure. The geographic analysis procedures are used to describe the spatial variability of the data in a mapped form. Management applications of the approach are demonstrated.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectAgriculture, Range Management.en_US
thesis.degree.nameM.L.Arch.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorGuertin, D. Phillipen_US
dc.identifier.proquest1352382en_US
dc.identifier.bibrecord.b27055437en_US
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