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Issues of visitor safety are a concern among park and recreation managers. As urban parks receive a variety of user groups, understanding perceptions of safety among specific groups becomes pertinent when managing for optimal experiences. This study examines trails runners at two mountain parks in a large southwestern city. Data

Issues of visitor safety are a concern among park and recreation managers. As urban parks receive a variety of user groups, understanding perceptions of safety among specific groups becomes pertinent when managing for optimal experiences. This study examines trails runners at two mountain parks in a large southwestern city. Data was collected in the fall of 2013 and the spring of 2014 using a five page, onsite, self-administered, exit survey in English. Questions addressed trail runner demographics, level of trail running experience, perceptions of safety, and support for safety related management actions. Of specific interest was how perceptions of safety varied by trail runner demographics and level of experience. 102 trail runners participated in the study. Data analysis was completed using an independent samples t-test to compare sample characteristics with perceptions of safety and safety related management actions. The results include mixed opposition and support for specific preventive management actions. Few significant differences in responses were found between gender, age and specialization. The findings also suggest trail runners primarily learned about these recreation areas through local knowledge and "word of mouth" and not through managers. Further implications of these finding is discussed. Contributions of the study are twofold. First, results provide managers with information regarding trail runners at the parks. Second, findings serve to extend the literature on visitor safety at park and recreation settings in urban areas.
ContributorsNorwil, Evan Juilian (Author) / Budruk, Megha (Thesis director) / Larsen, Dale (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2014-05
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Description
Increasingly, wildfires are threatening communities, forcing evacuations, damaging property, and causing loss of life. This is in part due to a century of wildfire policy and an influx of people moving to the wildland urban interface (WUI). National programs have identified and promoted effective wildfire mitigation actions to

Increasingly, wildfires are threatening communities, forcing evacuations, damaging property, and causing loss of life. This is in part due to a century of wildfire policy and an influx of people moving to the wildland urban interface (WUI). National programs have identified and promoted effective wildfire mitigation actions to reduce wildfire risk; yet, many homeowners do not perform these actions. Based on previous literature and using the theory of planned behavior (TPB), this study proposes an integrated wildfire mitigation behavioral model to assess and identify the factors that influence homeowners’ wildfire mitigation behaviors. Specifically, the study tests the validity of the theory of planned behavior as a foundational model in exploring wildfire mitigation behaviors, develops and empirically tests a wildfire mitigation behavioral model, and explores the role of homeowner associations (HOA) on wildfire mitigation behaviors. Structural equation modeling was used on data collected from homeowners with property in the WUI in Prescott, Arizona. Results suggest TPB provides an acceptable model in describing homeowner wildfire mitigation behavior. For HOA residents, attitudes toward wildfire mitigation behaviors play an important role in predicting intentions to perform these behaviors. Additionally, perceived constraints directly influenced actual mitigation actions. For non-HOA residents, subjective norms influenced intentions to mitigate. Implications for research and local wildfire mitigation programs and policy are discussed.
ContributorsSteffey, Eric Clifford (Author) / Budruk, Megha (Thesis advisor) / Vogt, Christine (Committee member) / Virden, Randy (Committee member) / Larson, Kelli (Committee member) / Arizona State University (Publisher)
Created2016
Description

Agassiz’s desert tortoise (Gopherus agassizii) is a long-lived species native to the Mojave Desert and is listed as threatened under the US Endangered Species Act. To aid conservation efforts for preserving the genetic diversity of this species, we generated a whole genome reference sequence with an annotation based on dee

Agassiz’s desert tortoise (Gopherus agassizii) is a long-lived species native to the Mojave Desert and is listed as threatened under the US Endangered Species Act. To aid conservation efforts for preserving the genetic diversity of this species, we generated a whole genome reference sequence with an annotation based on deep transcriptome sequences of adult skeletal muscle, lung, brain, and blood. The draft genome assembly for G. agassizii has a scaffold N50 length of 252 kbp and a total length of 2.4 Gbp. Genome annotation reveals 20,172 protein-coding genes in the G. agassizii assembly, and that gene structure is more similar to chicken than other turtles. We provide a series of comparative analyses demonstrating (1) that turtles are among the slowest-evolving genome-enabled reptiles, (2) amino acid changes in genes controlling desert tortoise traits such as shell development, longevity and osmoregulation, and (3) fixed variants across the Gopherus species complex in genes related to desert adaptations, including circadian rhythm and innate immune response. This G. agassizii genome reference and annotation is the first such resource for any tortoise, and will serve as a foundation for future analysis of the genetic basis of adaptations to the desert environment, allow for investigation into genomic factors affecting tortoise health, disease and longevity, and serve as a valuable resource for additional studies in this species complex.

Data Availability: All genomic and transcriptomic sequence files are available from the NIH-NCBI BioProject database (accession numbers PRJNA352725, PRJNA352726, and PRJNA281763). All genome assembly, transcriptome assembly, predicted protein, transcript, genome annotation, repeatmasker, phylogenetic trees, .vcf and GO enrichment files are available on Harvard Dataverse (doi:10.7910/DVN/EH2S9K).

ContributorsTollis, Marc (Author) / DeNardo, Dale F (Author) / Cornelius, John A (Author) / Dolby, Greer A (Author) / Edwards, Taylor (Author) / Henen, Brian T. (Author) / Karl, Alice E. (Author) / Murphy, Robert W. (Author) / Kusumi, Kenro (Author)
Created2017-05-31