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Floristic inventory of private and public lands in southwestern Gunnison County, Colorado, A; and a software tool to assist in the generation of herbarium specimen labels

dc.contributor.authorMaher, Madeline A., author
dc.contributor.authorSimmons, Mark, advisor
dc.contributor.authorMaurer, Ruth, committee member
dc.contributor.authorSloan, Daniel, committee member
dc.contributor.authorOsborne Nishimura, Erin, committee member
dc.date.accessioned2019-01-07T17:19:18Z
dc.date.available2019-01-07T17:19:18Z
dc.date.issued2018
dc.description.abstractI conducted an inventory of vascular flora on public and private property in southwestern Gunnison County, Colorado. The study area consisted of 3,004 acres of private land and 1,850 acres of adjacent public land managed by the Bureau of Land Management (BLM). While a small part of the BLM area was surveyed in the late 1990s, the majority of the study area represented a gap in the existing floristic research to date in the Rocky Mountains. Fieldwork was conducted in the growing seasons of 2016 and 2017. Six hundred five herbarium specimens were generated, representing 315 species and infraspecific taxa. Combining my findings with reliable observations and existing collections from the area, a checklist of 330 species and infraspecific taxa was compiled, representing ten percent of the known Colorado flora. The variable landscape of the area includes submontane to subalpine forests, wetlands, grasslands, sagebrush shrublands, xeric mesa tops, and rocky cliffs. Taken together these areas provide habitat for two species previously unknown in the county (Trifolium kingii, Pyrola picta), two further species that are considered vulnerable or imperiled in Colorado (Iliamna rivularis, Draba rectifructa), and 30 vulnerable or imperiled plant community types. The presence of species and communities of conservation concern not previously documented in the region emphasizes the need for continued floristic study of private lands and other undersampled areas. In order to efficiently make labels for the aforementioned herbarium specimens, I developed a Python program to generate formatted, print-ready labels from a comma-separated value (CSV) file. Efficiently generating specimen labels can be challenging for newcomers to the field, or for those unable to use existing tools. Several software tools exist for automatic specimen label generation, but these either require a significant learning curve to use, are not consistently maintained, are not compatible with multiple operating systems, or rely on proprietary software. My program generates labels in HTML, and these are formatted for print using Cascading Style Sheets (CSS) and the Mustache template system. The program does not rely on any proprietary software, is compatible with any operating system on which Python 3.0 or later can be installed, and is easily customizable to suit the user's needs. The minimal nature of the tool makes it easy and efficient to use. The tool will be especially useful to students learning to manage their collection data and produce their own specimen labels. As such, it could be a convenient resource for plant-taxonomy and related courses in which students make collections.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierMaher_colostate_0053N_15160.pdf
dc.identifier.urihttps://hdl.handle.net/10217/193132
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectmorphology
dc.subjectfloristics
dc.subjectrare plants
dc.titleFloristic inventory of private and public lands in southwestern Gunnison County, Colorado, A; and a software tool to assist in the generation of herbarium specimen labels
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineBiology
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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