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dc.contributor.advisorGuertin, D. Phillipen_US
dc.contributor.authorDanzer, Steven Jay
dc.creatorDanzer, Steven Jayen_US
dc.date.accessioned2013-04-18T09:39:08Z
dc.date.available2013-04-18T09:39:08Z
dc.date.issued1996en_US
dc.identifier.urihttp://hdl.handle.net/10150/282283
dc.description.abstractFifteen canyons in the Coronado National Forest, in southeastern Arizona were sampled in order to study the woody riparian overstory. Vegetative and environmental data were collected from 99 high elevation (>1050 meters) sites within these canyons that had a woody riparian overstory. Vegetative data included abundance and diameter at breast height (DBH) of each woody tree, and abundance and root collar diameter of each woody shrub in the sample plot. Environmental site data included elevation, stream gradient, stream width and depth, terrace height, stream direction, and watershed area. The vegetative data for each site were classified into one of six possible community types using an average linkage/euclidean distance clustering algorithm. Clustering was performed using DBH data and abundance data in order to compare the two types of approaches. This study suggests that in high elevation areas, typical riparian community vegetation include shrub species such as Baccharis and Robinia, as well as facultative upland species such as Abies, Acer, Juniperus and Ouercus. Platanus and Salix are also commonly found, while Populus is rare. The environmental data were summarized by community type. Binary recursive partitioning was used to produce a classification structure to determine which environmental variables were most effective to differentiate between the communities and the larger sample set. Elevation and stream gradient were the most important parameters when measuring communities by their relative abundance. Elevation was the most important parameter when measuring communities by DBH.
dc.language.isoen_USen_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.subjectBiology, Ecology.en_US
dc.subjectEnvironmental Sciences.en_US
dc.titleVegetative and environmental characteristics of high elevation riparian communities in the mountains of southeastern Arizonaen_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.leveldoctoralen_US
dc.identifier.proquest9720709en_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineRenewable Natural Resourcesen_US
thesis.degree.namePh.D.en_US
dc.identifier.bibrecord.b37699672en_US
dc.identifier.bibrecord.b34621817en_US
refterms.dateFOA2018-07-06T04:31:01Z
html.description.abstractFifteen canyons in the Coronado National Forest, in southeastern Arizona were sampled in order to study the woody riparian overstory. Vegetative and environmental data were collected from 99 high elevation (>1050 meters) sites within these canyons that had a woody riparian overstory. Vegetative data included abundance and diameter at breast height (DBH) of each woody tree, and abundance and root collar diameter of each woody shrub in the sample plot. Environmental site data included elevation, stream gradient, stream width and depth, terrace height, stream direction, and watershed area. The vegetative data for each site were classified into one of six possible community types using an average linkage/euclidean distance clustering algorithm. Clustering was performed using DBH data and abundance data in order to compare the two types of approaches. This study suggests that in high elevation areas, typical riparian community vegetation include shrub species such as Baccharis and Robinia, as well as facultative upland species such as Abies, Acer, Juniperus and Ouercus. Platanus and Salix are also commonly found, while Populus is rare. The environmental data were summarized by community type. Binary recursive partitioning was used to produce a classification structure to determine which environmental variables were most effective to differentiate between the communities and the larger sample set. Elevation and stream gradient were the most important parameters when measuring communities by their relative abundance. Elevation was the most important parameter when measuring communities by DBH.


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