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All Subjects: California
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Modeling suitable habitat under climate change for chaparral shrub communities in the Santa Monica Mountains National Recreation Area, California

Description

Species distribution modeling is used to study changes in biodiversity and species range shifts, two currently well-known manifestations of climate change. The focus of this study is to explore how distributions of suitable habitat might shift under climate change for shrub communities within the Santa Monica Mountains National Recreation Area (SMMNRA), through a comparison of community level to individual species level distribution modeling. Species level modeling is more commonly utilized, in part because community level modeling requires detailed community composition data that are not always available. However, community level modeling may better detect patterns in biodiversity. To examine the projected impact on suitable habitat in the study area, I used the MaxEnt modeling algorithm to create and evaluate species distribution models with presence only data for two future climate models at community and individual species levels. I contrasted the outcomes as a method to describe uncertainty in projected models. To derive a range of sensitivity outcomes I extracted probability frequency distributions for suitable habitat from raster grids for communities modeled directly as species groups and contrasted those with communities assembled from intersected individual species models. The intersected species models were more sensitive to climate change relative to the grouped community models. Suitable habitat in SMMNRA's bounds was projected to decline from about 30-90% for the intersected models and about 20-80% for the grouped models from its current state. Models generally captured floristic distinction between community types as drought tolerance. Overall the impact on drought tolerant communities, growing in hotter, drier habitat such as Coastal Sage Scrub, was predicted to be less than on communities growing in cooler, moister more interior habitat, such as some chaparral types. Of the two future climate change models, the wetter model projected less impact for most communities. These results help define risk exposure for communities and species in this conservation area and could be used by managers to focus vegetation monitoring tasks to detect early response to climate change. Increasingly hot and dry conditions could motivate opportunistic restoration projects for Coastal Sage Scrub, a threatened vegetation type in Southern California.

ContributorsJames, Jennifer (Author) / Franklin, Janet (Thesis advisor) / Rey, Sergio (Committee member) / Wentz, Elizabeth (Committee member) / Arizona State University (Publisher)

Created2014

A Content and Discourse Analysis of California's Proposition 22: What it Means for the Future of the Gig Economy

Description

For this thesis, I analyzed the discourse and content of Proposition 22, a California law which defined all workers utilizing gig-based apps to sell services as independent contractors meaning they were not legally entitled to certain protections such as minimum wage. The law was overturned in court in 2020, however, the advertisements in favor of and discourse behind the law has had a continued impact on all workers. Because of this it is important to examine and conceptualize the ideologies behind the law in order to understand how it was able to pass in a state which tends to vote in favor of increasing employee rights and regulation of industries. To do so, I utilized two methods of analysis, a discourse analysis of legal documents and a content analysis of advertisements. The former revolves around analyzing the discourse and ideologies around two versions of the legislation which were shown to the public, while the latter analysis categorizes and examines the implications of various advertisements utilized by companies to support the proposition. Ultimately, gig companies created an effective campaign that was able to repackage neoliberal deregulation for the general public while actively misrepresenting information around the law leading to long lasting effects that continue to harm workers while lining the pockets of investors despite its overturning.

ContributorsRodriguez, Anthony (Author) / Broberg, Gregory (Thesis director) / Martin, Nathan (Committee member) / Barrett, The Honors College (Contributor) / School of Social Transformation (Contributor) / Historical, Philosophical & Religious Studies, Sch (Contributor)

Created2022-05