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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
331

GIS-based coupled cellular automaton model to allocate irrigated agriculture land use in the High Plains Aquifer Region

Wang, Peiwen January 1900 (has links)
Master of Landscape Architecture / Department of Landscape Architecture and Regional and Community Planning / Eric A. Bernard / The Kansas High Plains region is a key global agricultural production center (U.S. G.S, 2009). The High Plains physiography is ideal agricultural production landscape except for the semi-arid climate. Consequently, farmers mine vast groundwater resources from the High Plains Ogallala Aquifer formations to augment precipitation for crop production. Growing global population, current policy and subsidy programs, declining aquifer levels coupled with regional climatic changes call into question both short-term and long-term resilience of this agrarian landscape and food and water security. This project proposes a means to simulate future irrigated agriculture land use and crop cover patterns in the Kansas High Plains Aquifer region based on coupled modeling results from ongoing research at Kansas State University. A Cellular Automata (CA) modeling framework is used to simulate potential land use distribution, based on coupled modeling results from groundwater, economic, and crop models. The CA approach considers existing infrastructure resources, industrial and commercial systems, existing land use patterns, and suitability modeling results for agricultural production. The results of the distribution of irrigated land produced from the CA model provide necessary variable inputs for the next temporal coupled modeling iteration. For example, the groundwater model estimates water availability in saturated thickness and depth to water. The economic model projects which crops will be grown based on water availability and commodity prices at a county scale. The crop model estimates potential yield of a crop under specific soil, climate and growing conditions which further informs the economic model providing an estimate of profit, which informs regional economic and population models. Integrating the CA model into the coupled modeling system provides a key linkage to simulate spatial patterns of irrigated land use and crop type land cover based on coupled model results. Implementing the CA model in GIS offers visualization of coupled model components and results as well as the CA model land use and land cover. The project outcome hopes to afford decision-makers, including farmers, the ability to use the actual landscape data and the developed coupled modeling framework to strategically inform decisions with long-term resiliency.
332

The ranging behavior of bonobos in the Lomako Forest

Waller, Michel Tyler, 1973- 06 1900 (has links)
xvii, 149 p. : ill. (some col.), maps / The ranging behavior of an animal can reveal much about the social and ecological conditions it faces. Food availability, feeding competition, population pressures, metabolic requirements and human influences can all influence the ranging behavior of individuals. For modern humans, the manner in which we move about our world is limited only by access to technology and other cultural factors. Of course, it has not always been that way. Based on recent fossil discoveries, our earliest bipedal ancestors more closely resembled the living great apes in morphology. Consequently, studies of great ape behavior have been used to reconstruct scenarios of early hominin behavior. And while much has been written about chimpanzee ( Pan troglodytes ) ranging in this regard, less is known about bonobos (Pan paniscus ). Along with chimpanzees, bonobos are our closest phylogenetic relative, existing today as a descendant of a common ancestor the Homo and Pan genera shared sometime around six million years ago. Despite their close taxonomic relationship, however, there are a variety of behavioral differences between bonobos and chimpanzees. The aim of this dissertation is to better understand these differences within the context of ranging and social behavior and apply the results to models of early hominin behavior. More specifically, I used a Geographic Information Systems (GIS) approach to examine general bonobo ranging data, the differences in ranging behavior between males and females, and the manner in which neighboring groups interact. Compared with chimpanzees, bonobos at Lomako range over a much smaller total area, are not territorial, and differ in the composition of social parties. In general, female bonobos are more gregarious and cohesive, moving in semi-stable groups I call "cliques", while males are less aggressive and more likely to move independently. These results likely reflect the high levels of food availability for bonobos at Lomako, reducing the level of feeding competition, and emphasizing social and mating strategies in group formation. Consequently, the spectrum of potential early hominin ranging behavior must be expanded from the current chimp-centric perspective. / Committee in charge: Frances White, Chairperson; Stephen Frost, Member; Larry Sugiyama, Member; James Schombert, Outside Member
333

Machine Learning Applications for Downscaling Groundwater Storage Changes Integrating Satellite Gravimetry and Other Observations

Agarwal, Vibhor January 2021 (has links)
No description available.
334

Empowerment Through Consumption: Land Ownership, Land Banks, and Black Food Geographies

Jones, Brittany Darshae January 2021 (has links)
No description available.
335

Evaluating the effects of anthropogenic land use and habitat fragmentation on bat diversity and activity in the Oak Openings Region

Russo-Petrick, Kelly 13 May 2022 (has links)
No description available.
336

Predicting Post-Mining Hydrologic Effects of Underground Coal Mines in Ohio throughMultivariate Statistical Analyses and GIS Tool Building

Steinberg, Rebecca M. 14 June 2019 (has links)
No description available.
337

A Small Unmanned Aerial System (sUAS) Based Method for Monitoring Wetland Inundation & Vegetation

Dehm, Dustin 28 August 2019 (has links)
No description available.
338

Evolution and Cooperation in the Youngstown Area

O'Neill, Moira Patricia 01 August 2019 (has links)
No description available.
339

The Integration of Fuzzy Fault Trees and Artificial Neural Networks to Enhance Satellite Imagery for Detection and Assessment of Harmful Algal Blooms

Tan, Arie Hadipriono January 2019 (has links)
No description available.
340

A Study on Applying Learning Techniques to Remote Sensing Data

Radhakrishnan, Aswathnarayan 06 October 2020 (has links)
No description available.

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