Matching Items (104)
Description
Climate is a critical determinant of agricultural productivity, and the ability to accurately predict this productivity is necessary to provide guidance regarding food security and agricultural management. Previous predictions vary in approach due to the myriad of factors influencing agricultural productivity but generally suggest long-term declines in productivity and agricultural land suitability under climate change. In this paper, I relate predicted climate changes to yield for three major United States crops, namely corn, soybeans, and wheat, using a moderate emissions scenario. By adopting data-driven machine learning approaches, I used the following machine learning methods: random forest (RF), extreme gradient boosting (XGB), and artificial neural networks (ANN) to perform comparative analysis and ensemble methodology. I omitted the western US due to the region's susceptibility to water stress and the prevalence of artificial irrigation as a means to compensate for dry conditions. By considering only climate, the model's results suggest an ensemble mean decline in crop yield of 23.4\% for corn, 19.1\% for soybeans, and 7.8\% for wheat between the years of 2017 and 2100. These results emphasize potential negative impacts of climate change on the current agricultural industry as a result of shifting bio-climactic conditions.
ContributorsSwarup, Shray (Author) / Eikenberry, Steffen (Thesis director) / Mahalov, Alex (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2023-05
Description
In 1996, a floral and faunal inventory of the southeastern slopes of the Marojejy Massif, which falls in a protected area known as the Parc national de Marojejy, was conducted in an ascending series of altitudinal transect zones. The 1996 research team worked in five altitudinal zones (referred to as transect zones). Between 3 October and 15 November 2021, a floral and faunal inventory was completed, replicating the locations surveyed in 1996 and closely the dates. Detected bird species were analyzed for changes in elevational distribution between 1996 and 2021. Birds were divided into three feeding behavior groups and tolerance to forest habitat degradation was considered.
ContributorsLangrand, Tahiry (Author) / Schoon, Michael (Thesis director) / Goodman, Steve (Committee member) / Barrett, The Honors College (Contributor) / School of Complex Adaptive Systems (Contributor) / School of International Letters and Cultures (Contributor) / School of Sustainability (Contributor)
Created2022-05
Description
Political boundaries often divide ecosystems and create the challenge of conserving the ecosystem across borders. Through transboundary ecosystem management multiple groups can come together and manage the ecosystem that spans their borders collaboratively. In the United States there are several examples of ecosystems that span borders, such as the Sonoran Desert along the US-Mexico frontier and the Rocky Mountains running through the US and Canada. To gain insight into what leads to effective transboundary resource management I compared two case studies that manage resources over borders with multiple collaborators: Glacier National Park and Organ Pipe Cactus National Monument. These two cases offer contrasting ecosystems and backgrounds in transboundary resource management in the United States. To compare the cases I coded them using a collaborative governance codebook (Schoon et al. 2020). The codebook uses a Context-Mechanisms-Outcomes framework to identify aspects of collaborative governance and contextual factors present in each park (Pawson & Tilley 1997; Salter & Kothari, 2014). Once coded, the cases were compared to identify what aspects were similar and different in the parks to help potentially explain what features did or did not lead to effective transboundary resource management.
ContributorsTaetle, Noah (Author) / Schoon, Michael (Thesis director) / Carr Kelman, Candice (Committee member) / Barrett, The Honors College (Contributor) / School of Sustainability (Contributor) / School of Politics and Global Studies (Contributor)
Created2022-05
Description
Heavy metals and persistent organic pollutants contribute to human health risks worldwide. Among the most common routes of exposure to pollutants for humans are through the consumption of contaminated water and food, with fish being among the greatest vectors for ingestion of heavy metals in humans, particularly mercury.This dissertation consists of three chapters with a central theme of investigating heavy metal and persistent organic pollutant concentrations in fish and corned beef, which are two commonly consumed food items in American Samoa. A literature review illustrated that historically the primary pollutants of concern in fish muscle tissue from American Samoa have been mercury, arsenic, and polycyclic aromatic hydrocarbon mixtures. To better understand the changes in heavy metals and persistent organic pollutants in fish, this study reports an updated data set, comparing concentrations in pollutants as they have changed over time. To further investigate pollutants in fish tissue, 77 locally caught and commonly consumed fish were analyzed for heavy metals and persistent organic pollutants, and baseline human health risk assessments were calculated for contaminants that had available oral reference doses. While in American Samoa collecting fish for contaminant analyses, it was realized that canned corned beef appeared to be more commonly consumed than fresh fish. An IRB approved consumption survey revealed that 89% of American Samoan adults regularly consume fish, which is the same percentage of people that reported eating canned corned beef, indicating a dramatic increase in this food item to their diet since its introduction in the 20th century.
Results of this study indicate that fish muscle tissue generally has higher heavy metal concentrations than canned corned beef, and that mercury continues to be a main contaminant of concern when consuming fresh and canned fish in American Samoa. While none of the heavy metal concentrations in corned beef exceeded calculated action levels, these foods might contribute to negative health outcomes in other ways. One of the main findings of this study is that either the presence or the ability to detect persistent organic pollutant concentrations are increasing in fish tissue and should be periodically monitored to adequately reflect current conditions.
ContributorsLewis, Tiffany Beth (Author) / Polidoro, Beth (Thesis advisor) / Neuer, Susanne (Thesis advisor) / Halden, Rolf (Committee member) / Schoon, Michael (Committee member) / Arizona State University (Publisher)
Created2023
Description
Effective collaboration and cooperation across difference are at the heart of present and future sustainability challenges and solutions. Collaboration among social groups (intragenerational), across time (intergenerational), and across species (interspecies) is each central to achieving sustainability transitions in the 21st century. In practice, there are three types of differences that limit collaboration and cooperation toward sustainability outcomes: differences among social groups, differences across time, and differences across species. Each of these differences have corresponding cognitive biases that challenge collaboration. Social cognitive biases challenge collaboration among social groups; temporal cognitive biases challenge collaboration across time; and anthropocentric cognitive biases challenge collaboration across species. In this work, I present three correctives to collaboration challenges spanning the social, temporal, and species cognitive biases through intervention-specific methods that build beyond traditional framings of empathy, toward social, futures, and ecological empathy. By re-theorizing empathy across these domains, I seek to construct a multidimensional theory of empathy for sustainability, and suggest methods to build it, to bridge differences among people, time horizons, and species for sustainability practice.
ContributorsLambert, Lauren Marie-Jasmine (Author) / Selin, Cynthia (Thesis advisor) / Schoon, Michael (Thesis advisor) / Tomblin, David (Committee member) / Berbés-Blázquez, Marta (Committee member) / Arizona State University (Publisher)
Created2023
Description
Wildlife rehabilitation as a practice in the United States exists in a complicated ethical landscape. The Wildlife Rehabilitator's Code of Ethics exists to guide the profession and states that rehabilitators must respect the wildness and maintain the dignity of an animal in their care. This thesis explores the question: How do the attitudes and actions of wildlife rehabilitators exemplify the ways in which they understand and enact respect for an animal’s dignity and wildness while in their care? Additionally, in what circumstances do rehabilitators align and diverge from each other in their interpretation and demonstration of this respect? These questions were answered through a literature review, interviews with rehabilitators, and site visits to wildlife rehabilitation centers in the Phoenix metropolitan area. My results suggest that rehabilitators are aligned in their understanding of respect for wildness and dignity as it applies to the animals in their care that are actively undergoing rehabilitation. Rehabilitators achieved consensus on the idea that they should interact with the animals as little as possible while providing their medically necessary care. Rehabilitators began to diverge when considering the animals in their sanctuary spaces. Specifically, they varied in their perception of wildness in sanctuary animals, which informed how some saw their responsibilities to the animals. Lesser perceived wildness correlated to increased acceptance of forming affectionate relationships with the sanctuary animals, and even feelings of obligation to form these relationships. Based on my research, I argue that the Wildlife Rehabilitator's Code of Ethics should be revised to reflect the specific boundary that wildlife rehabilitators identified in the rehabilitation space and provide substantive guidance as to what respecting wildness and dignity means in this field.
ContributorsBernat, Isabella Elyse (Author) / Minteer, Ben (Thesis advisor) / Ellison, Karin (Committee member) / Schoon, Michael (Committee member) / Arizona State University (Publisher)
Created2023
Description
Maternal morbidity and mortality rates in the United States continues to rise, with a wide range of contributing factors such as mental illness, cardiovascular disease and systemic inequality. This metastudy provides a holistic view of the research that has been published on the issue of U.S. maternal healthcare from 2000-2022. The patterns of publications on specific topics over time can tell us what is perceived as a current major cause by physicians, public leaders, researchers, and the public. A deeper dive into systemic inequality as a cause of maternal morbidity and mortality highlights it as a major contributor to these high rates, but that progress is slowly being made through the implementation of detection and prevention tactics, as well as accessible prenatal programs and care.
ContributorsRettig, Lelia (Author) / Amdam, Gro (Thesis director) / Bang, Christofer (Committee member) / Barrett, The Honors College (Contributor) / School of Human Evolution & Social Change (Contributor) / School of Life Sciences (Contributor)
Created2023-05
Description
Though controversial in its utility to the scientific study of nonhuman animals, anthropomorphism, or the attribution of human characteristics to a nonhuman being, is omnipresent in our interactions with other animals. Anthropomorphism is undeniably a fixture of modern zoos, but how anthropomorphism relates to zoos’ contributions to conservation is unclear. In this dissertation, I investigate these potentially dueling, potentially overlapping, messages within great ape exhibits in accredited zoos. Given the complexity of both anthropomorphism and conservation, this dissertation reveals some nuances of how both play out in zoological spaces. Human psychology literature on anthropomorphism indicates that there are a variety of uses for this lens that benefit humans; from feeling we can understand a confusing animal action, to feeling social connection. Whereas the comparative psychology literature highlights a contested utility of anthropomorphism in studies of nonhuman animals. The main findings from this study are four-fold. Firstly, surveys conducted with zoo visitors show that many bring anthropomorphic beliefs with them on their trek through the zoo. Visitors are prone to viewing great apes as strikingly like humans in terms of emotions, emotional expression, and understanding of the world. Secondly, surveyed zoo visitors who agreed more with anthropomorphic statements also agreed more with statements about feeling interconnected with nature. Thirdly, there is no uniform understanding within the zoo community about how zoo exhibits do or should contribute to conservation efforts given that exhibits have multiple goals, one being the safety and wellness of their animal residents. Fourthly, interviews of zoo staff show that they mediate a variety of messages for zoo visitors and walk a sometimes-divisive line between when it’s acceptable to use anthropomorphic framing to discuss zoo animals and when it’s inaccurate. By leveraging a better understanding of these attitudes and relationships, zoos can further empower their staff to navigate these complex issues and improve their mission-based goal of promoting conservation outcomes by acknowledging the human practices embedded in our perceptions of and interactions with zoo animals. This work speaks to the importance of carefully considering the ways we understand animals in zoos, in the wild, and all the places in-between.
ContributorsLyon, Cassandra (Author) / Minteer, Ben A. (Thesis advisor) / Wynne, Clive D.L. (Committee member) / Maynard, Lily (Committee member) / Schoon, Michael (Committee member) / Arizona State University (Publisher)
Created2024
Description
With global environmental systems under increasing Anthropogenic influence, conservationists and environmental managers are under immense pressure to protect and recover the world’s imperiled species and ecosystems. This effort is often motivated by a sense of moral responsibility, either to nature itself, or to the end of promoting human wellbeing over the long run. In other words, it is the purview of environmental ethics, a branch of applied philosophy that emerged in the 1970s and that for decades has been devoted to understanding and defending an attitude of respect for nature, usually for its own sake. Yet from the very start, environmental ethics has promoted itself as contributing to the resolution of real-world management and policy problems. By most accounts, however, the field has historically failed to deliver on this original promise, and environmental ethicists continue to miss opportunities to make intellectual inroads with key environmental decisionmakers. Inspired by classical and contemporary American philosophers such as Charles Sanders Peirce, William James, John Dewey, and Richard Rorty, I defend in this dissertation the virtues of a more explicitly pragmatic approach to environmental ethics. Specifically, I argue that environmental pragmatism is not only commensurate with pro-environmental attitudes but that it is more likely to lead to viable and sustainable outcomes, particularly in the context of eco-social resilience-building activities (e.g., local experimentation, adaptation, cooperation). In doing so, I call for a recasting of environmental ethics, a project that entails: 1) a conceptual reorientation involving the application of pragmatism applied to environmental problems; 2) a methodological approach linking a pragmatist environmentalism to the tradition and process of adaptive co-management; and 3) an empirical study of stakeholder values and perspectives in conservation collaboratives in Arizona. I conclude that a more pragmatic environmental ethics has the potential to bring a powerful set of ethical and methodological tools to bear in real-world management contexts and, where appropriate, can ground and justify coordinated conservation efforts. Finally, this research responds to critics who suggest that, because it strays too far from the ideological purity of traditional environmental ethics, the pragmatic decision-making process will, in the long run, weaken rather than bolster our commitment to conservation and environmental protection.
ContributorsRojas, Christopher A (Author) / Minteer, Ben A (Thesis advisor) / Carr Kelman, Candice (Committee member) / Kinzig, Ann (Committee member) / Schoon, Michael (Committee member) / Arizona State University (Publisher)
Created2019
Description
Earth-system models describe the interacting components of the climate system and
technological systems that affect society, such as communication infrastructures. Data
assimilation addresses the challenge of state specification by incorporating system
observations into the model estimates. In this research, a particular data
assimilation technique called the Local Ensemble Transform Kalman Filter (LETKF) is
applied to the ionosphere, which is a domain of practical interest due to its effects
on infrastructures that depend on satellite communication and remote sensing. This
dissertation consists of three main studies that propose strategies to improve space-
weather specification during ionospheric extreme events, but are generally applicable
to Earth-system models:
Topic I applies the LETKF to estimate ion density with an idealized model of
the ionosphere, given noisy synthetic observations of varying sparsity. Results show
that the LETKF yields accurate estimates of the ion density field and unobserved
components of neutral winds even when the observation density is spatially sparse
(2% of grid points) and there is large levels (40%) of Gaussian observation noise.
Topic II proposes a targeted observing strategy for data assimilation, which uses
the influence matrix diagnostic to target errors in chosen state variables. This
strategy is applied in observing system experiments, in which synthetic electron density
observations are assimilated with the LETKF into the Thermosphere-Ionosphere-
Electrodynamics Global Circulation Model (TIEGCM) during a geomagnetic storm.
Results show that assimilating targeted electron density observations yields on
average about 60%–80% reduction in electron density error within a 600 km radius of
the observed location, compared to 15% reduction obtained with randomly placed
vertical profiles.
Topic III proposes a methodology to account for systematic model bias arising
ifrom errors in parametrized solar and magnetospheric inputs. This strategy is ap-
plied with the TIEGCM during a geomagnetic storm, and is used to estimate the
spatiotemporal variations of bias in electron density predictions during the
transitionary phases of the geomagnetic storm. Results show that this strategy reduces
error in 1-hour predictions of electron density by about 35% and 30% in polar regions
during the main and relaxation phases of the geomagnetic storm, respectively.
technological systems that affect society, such as communication infrastructures. Data
assimilation addresses the challenge of state specification by incorporating system
observations into the model estimates. In this research, a particular data
assimilation technique called the Local Ensemble Transform Kalman Filter (LETKF) is
applied to the ionosphere, which is a domain of practical interest due to its effects
on infrastructures that depend on satellite communication and remote sensing. This
dissertation consists of three main studies that propose strategies to improve space-
weather specification during ionospheric extreme events, but are generally applicable
to Earth-system models:
Topic I applies the LETKF to estimate ion density with an idealized model of
the ionosphere, given noisy synthetic observations of varying sparsity. Results show
that the LETKF yields accurate estimates of the ion density field and unobserved
components of neutral winds even when the observation density is spatially sparse
(2% of grid points) and there is large levels (40%) of Gaussian observation noise.
Topic II proposes a targeted observing strategy for data assimilation, which uses
the influence matrix diagnostic to target errors in chosen state variables. This
strategy is applied in observing system experiments, in which synthetic electron density
observations are assimilated with the LETKF into the Thermosphere-Ionosphere-
Electrodynamics Global Circulation Model (TIEGCM) during a geomagnetic storm.
Results show that assimilating targeted electron density observations yields on
average about 60%–80% reduction in electron density error within a 600 km radius of
the observed location, compared to 15% reduction obtained with randomly placed
vertical profiles.
Topic III proposes a methodology to account for systematic model bias arising
ifrom errors in parametrized solar and magnetospheric inputs. This strategy is ap-
plied with the TIEGCM during a geomagnetic storm, and is used to estimate the
spatiotemporal variations of bias in electron density predictions during the
transitionary phases of the geomagnetic storm. Results show that this strategy reduces
error in 1-hour predictions of electron density by about 35% and 30% in polar regions
during the main and relaxation phases of the geomagnetic storm, respectively.
ContributorsDurazo, Juan, Ph.D (Author) / Kostelich, Eric J. (Thesis advisor) / Mahalov, Alex (Thesis advisor) / Tang, Wenbo (Committee member) / Moustaoui, Mohamed (Committee member) / Platte, Rodrigo (Committee member) / Arizona State University (Publisher)
Created2018