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dc.contributor.authorKlopfer, Scott Donalden_US
dc.date.accessioned2014-03-14T20:52:11Z
dc.date.available2014-03-14T20:52:11Z
dc.date.issued1997-07-25en_US
dc.identifier.otheretd-7197-113632en_US
dc.identifier.urihttp://hdl.handle.net/10919/36915
dc.description.abstractInsolation, Precipitation, and Moisture Maps for a Virginia Geographic Information System by Scott Donald Klopfer Robert H. Giles, Jr. Chair Fisheries and Wildlife Sciences (ABSTRACT) Climate information is valuable in understanding the ecology of systems affecting wildlife. This information is often unavailable at the landscape scale. This study evaluated the applicability of several climate factor estimates at the landscape-scale, and illustrated the usefulness of estimated climate factors in ecological investigations.

Climate variables estimated for each month of the year were solar radiation, temperature, precipitation, and potential evapotranspiration. Map layers for combined temperature and precipitation, and a moisture index were also created.

Accuracy of the estimates for temperature and precipitation for each 300 m x 300 m pixel were quantitatively assessed. The methods used estimated mean monthly temperature within 1 degree C. Precipitation estimates were within 9 mm of actual recorded value. The estimates for monthly solar radiation were qualitatively assessed, and provided a reason able relative index to actual solar radiation. Estimates of potential evapotranspiration were determined to be reasonably accurate.

Landscape-scale estimated climate factors were used in 2 case studies. The first used logistic regression to examine the importance of climate factors to the observed distribution of 21 select forest cover-types in Virginia. The second compared the observed climate characteristics for the distributions of 3 species of terrestrial salamanders in Virginia. Winter temperature was the most important climate variable in determining forest cover-type distribution. Several differences in the climate characteristics of the 3 salamander distributions were observed and discussed. The conclusions of this study were that landscape-scale climate factors can be accurately estimated, and the estimates may be helpful in ecological investigations.

en_US
dc.publisherVirginia Techen_US
dc.relation.haspartETD04.PDFen_US
dc.rightsI hereby grant to Virginia Tech or its agents the right to archive and to make available my thesis or dissertation in whole or in part in the University Libraries in all forms of media, now or hereafter known. I retain all proprietary rights, such as patent rights. I also retain the right to use in future works (such as articles or books) all or part of this thesis or dissertation.en_US
dc.subjectClimateen_US
dc.subjectecological modelingen_US
dc.subjectlandscapeen_US
dc.subjectpotential evapotranspirationen_US
dc.subjectprecipitationen_US
dc.subjectsolar radiationen_US
dc.subjecttemperatureen_US
dc.subjectdistributionen_US
dc.titleInsolation, Precipitation, and Moisture Maps for a Virginia Geographic Information Systemen_US
dc.typeThesisen_US
dc.contributor.departmentFisheries and Wildlife Sciencesen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineFisheries and Wildlife Sciencesen_US
dc.contributor.committeechairGiles, Robert H. Jr.en_US
dc.contributor.committeememberCross, Gerald H.en_US
dc.contributor.committeememberOderwald, Richard G.en_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-7197-113632/en_US
dc.date.sdate1997-07-25en_US
dc.date.rdate1997-08-18
dc.date.adate1997-08-18en_US


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