Deterministic model of soil moisture to predict forage yield on semiarid rangelands

Persistent Link:
http://hdl.handle.net/10150/191697
Title:
Deterministic model of soil moisture to predict forage yield on semiarid rangelands
Author:
Gilbert, Denis Peter.
Issue Date:
1980
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:
Rangeland plays an integral part in the economy of the United States' Southwest. The past is characterized by a history of range degradation. Consequently, rangeland managers are demanding new techniques to evaluate alternative grazing practices. The development of the model described in this thesis is in response to those demands. The developed model is a continuous, deterministic computer simulation model that predicts the soil moisture regime of a soil profile. This in turn is used to calculate a stress index value of the soil. Annual forage yield is then estimated as a function of these stress index values. The model is designed to accept temperature and precipitation data, either actual or simulated, and to calculate forage yield. The model consists of five parts: evapotranspiration, interception, soil moisture movement, surface runoff and forage yield. The model was tested on data from the Santa Rita Experimental Range near Tucson, Arizona. Ten years of forage data were available from the experimental range. The model was run with input data of temperature and precipitation for the same ten years. After calculating stress index values for that period, multiregression analysis was used to relate stress index to actual forage production; an r² of .73 was obtained. The same ten year period was then simulated to predict forage yield. The average annual difference between the actual and simulated yield data was .1 kg/hectar.
Type:
Thesis-Reproduction (electronic); text
LCSH Subjects:
Hydrology.; Soil moisture -- Arizona -- Measurement -- Simulation methods.; Forage plants -- Water requirements -- Arizona -- Simulation methods.; Range management -- Arizona -- Simulation methods.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Renewable Natural Resources; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Fogel, Martin M.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleDeterministic model of soil moisture to predict forage yield on semiarid rangelandsen_US
dc.creatorGilbert, Denis Peter.en_US
dc.contributor.authorGilbert, Denis Peter.en_US
dc.date.issued1980en_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.abstractRangeland plays an integral part in the economy of the United States' Southwest. The past is characterized by a history of range degradation. Consequently, rangeland managers are demanding new techniques to evaluate alternative grazing practices. The development of the model described in this thesis is in response to those demands. The developed model is a continuous, deterministic computer simulation model that predicts the soil moisture regime of a soil profile. This in turn is used to calculate a stress index value of the soil. Annual forage yield is then estimated as a function of these stress index values. The model is designed to accept temperature and precipitation data, either actual or simulated, and to calculate forage yield. The model consists of five parts: evapotranspiration, interception, soil moisture movement, surface runoff and forage yield. The model was tested on data from the Santa Rita Experimental Range near Tucson, Arizona. Ten years of forage data were available from the experimental range. The model was run with input data of temperature and precipitation for the same ten years. After calculating stress index values for that period, multiregression analysis was used to relate stress index to actual forage production; an r² of .73 was obtained. The same ten year period was then simulated to predict forage yield. The average annual difference between the actual and simulated yield data was .1 kg/hectar.en_US
dc.description.notehydrology collectionen_US
dc.typeThesis-Reproduction (electronic)en_US
dc.typetexten_US
dc.subject.lcshHydrology.en_US
dc.subject.lcshSoil moisture -- Arizona -- Measurement -- Simulation methods.en_US
dc.subject.lcshForage plants -- Water requirements -- Arizona -- Simulation methods.en_US
dc.subject.lcshRange management -- Arizona -- Simulation methods.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineRenewable Natural Resourcesen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.chairFogel, Martin M.en_US
dc.contributor.committeememberHekman, Jr., Louis H.en_US
dc.contributor.committeememberThames, John L.en_US
dc.identifier.oclc212887348en_US
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