Despite decades of protection, the endangered North Atlantic right whale (Eubalaena glacialis) has failed to recover, primarily due to interactions with fishing gear and ship strikes. Right whales range along the U.S. east coast, foraging year round in the Gulf of Maine while a subset of the population travels to the South Atlantic Bight each year to calve. The habitat requirements of the right whale are poorly understood. I investigated the relationship between the distribution of right whales and physical oceanographic conditions in an effort to create predictive models of essential right whale habitats. Additionally, the distribution of right and humpback whales (Megaptera novaeangliae) relative to fixed fishing gear was examined to assess spatio-temporal overlap. Habitat preferences were assessed using aerial survey data of whale locations and a range of topological and satellite derived physical parameters including bathymetry, sediment type, sea surface temperature, thermal gradients and surface roughness. A suite of non-parametric quantitative techniques including Mantel tests, log likelihood functions, Generalized Additive Models, Spearman Rank Correlations and the Williamson's spatial overlap index were used to assess relationships between whales and habitat variables. Our findings indicate that suitable calving habitat along the east coast may extend much farther to the north than is currently recognized. Our model correctly identified several well documented current and historic calving grounds in the eastern Atlantic but failed to fully identify a heavily used calving area off Argentina, which is characterized by lower surface water temperatures than the other calving regions. In the Gulf of Maine, right whale distribution was correlated primarily with sea surface temperature, sediment type and bathymetry. Predictive models offered insights into right whale habitat preferences for foraging but failed to wholly capture the physical factors underlying right whale distribution. I found the relative density of right and humpback whales and fixed fishing gear in the Gulf of Maine to be negatively correlated in most seasons and areas. These findings demonstrate that the regular co-occurrence of high densities of whales and gear is not a prerequisite for entanglement. Prohibiting entangling lines in areas where whales are known to forage could substantively reduce entanglement. / Dissertation

Although increasing stair use among adults with sedentary occupations can provide an accessible means of integrating moderate physical activity within daily work routines, there is little evidence-based information available to guide architects on how to design buildings that promote stair use. This study examined the relationship between stair use and a broad range of features of the physical environment within 10 buildings. Based on a review of the literature, a thematic framework (Appeal, Convenience, Comfort, Legibility and Safety) was developed for identifying the features of buildings that may influence stair use. Three methods of investigation were used to examine the relationship between stair use and variables of the five themes and their constructs. Buildings users were surveyed for their reasons for both single and multi-level route choice. The results indicated that reasons associated with convenience and legibility of route had greater influence on route choice than appeal, comfort or safety. Stair and elevator use were measured in the ten buildings along with variables that operationalized the thematic framework. Regression analysis was utilized to examine the relationship between stair use and the operationalized variables of the thematic framework. The results of regression analysis indicated that stair use was associated with 8 key spatial variables of convenience and legibility (travel distances from stair to nearest entrance and to the elevator; percentage of total building area or total occupant load attributed to each stair; physical accessibility of each stair; area of stair isovist; number of turns from the stair to closest entrance and to the most integrated path). Most local environmental features of stairs such as lighting levels and views were not statistically influential. Multivariate regression analysis indicated that three variables (effective area of each stair, area of stair isovist, and number of turns required between the stair and the most integrated path) explained 53% of stair use. A graphic analysis of the arrangement of the 8 key spatial variables within the ten buildings indicated that buildings with high overall levels of stair use optimized the key spatial variables in respect to the location of stair(s) within the building floor plan.

With the rapid development of the coastal environment and advances in fishing technology, marine biodiversity and fishery resources are decreasing dramatically. Therefore, each state is now focusing on conserving the marine environment. Planning Marine Protected Areas is one of the simplest and most efficient ways to do this. In recent years, researches have been conducted on Marine Protected Areas around the world. The government and academic fields in Taiwan also has started to value its surrounding marine environment. However, literature on the Marine Protected Areas in Taiwan has focused on policy and management, not so much on planning and zoning strategies. Therefore, this study uses the Geographic Information System (GIS) to simulate the planning and zoning process. This research set principles and zoning framework for Marine Protected Areas in Taiwan based on case studies and spatial analysis techniques. This study uses Gueishan Island in Yilan County as case study since the unique geographical environment of Gueishan Island provides potentiality to set Marine Protected Areas. In this study, it is suggested that "hot spring resources", "cetacean resources", and "fisheries resources" are the main protected objectives. The zoning strategies, management guidelines and recommendations are provided in this study based on these three protected objectives. According to the GIS simulation process, using the spatial analysis techniques is one of the possible efficient methodologies to plan and zone the Marine Protected Areas. With supplementary data and information, the results can be discussed more specifically in the further study. In addition, techniques of visualization during the MPAs zoning process can be a easier way for various stakeholders to understand, and to strengthen mutual communication, thereby reducing disputes to create successful Marine Protected Areas.

In this study, the performances of the optical sensors and instruments carried on both ground-based and airborne platforms were evaluated for monitoring crop growing status, detecting the vegetation response to aerial applied herbicides, and identifying crop nitrogen status. Geostatistical analysis on remotely sensed data was conducted to investigate spatial structure of crop canopy normalized difference vegetation index and multispectral imagery. A computerized crop monitoring system was developed that combined sensors and instruments that measured crop structure and spectral data with a global positioning system. The integrated crop monitoring system was able to collect real-time, multi-source, multi-form, and crop related data simultaneously as the tractor-mounted system moved through the field. This study firstly used remotely sensed data to evaluate glyphosate efficacy on weeds applied with conventional and emerging aerial spray nozzles. A weedy field was In this study, the performances of the optical sensors and instruments carried on both ground-based and airborne platforms were evaluated for monitoring crop growing status, detecting the vegetation response to aerial applied herbicides, and identifying crop nitrogen status. Geostatistical analysis on remotely sensed data was conducted to investigate spatial structure of crop canopy normalized difference vegetation index and multispectral imagery. A computerized crop monitoring system was developed that combined sensors and instruments that measured crop structure and spectral data with a global positioning system. The integrated crop monitoring system was able to collect real-time, multi-source, multi-form, and crop related data simultaneously as the tractor-mounted system moved through the field. This study firstly used remotely sensed data to evaluate glyphosate efficacy on weeds applied with conventional and emerging aerial spray nozzles. A weedy field was set up in three blocks and four aerial spray technology treatments were tested. Spectral reflectance measurements were taken using ground-based sensors from all the plots at 1, 8, and 17 days after treatment. The results indicated that the differences among the treatments could be detected with spectral data. This study could provide applicators with guidance equipment configurations that can result in herbicide savings and optimized applications in other crops. The main focus of this research was to apply sensor fusion technology to ground-based and airborne imagery data. Experimental plots cropped with cotton and soybean plants were set up with different nitrogen application rates. The multispectral imagery was acquired by an airborne imaging system over crop field; at the same period, leaf chlorophyll content and spectral reflectance measurements were gathered with chlorophyll meter and spectroradiometer at canopy level on the ground, respectively. Statistical analyses were applied on the data from individual sensor for discrimination with respect to the nitrogen treatment levels. Multisensor data fusion was performed at data level. The results showed that the data fusion of airborne imagery with ground-based data were capable of improving the performance of remote sensing data on detection of crop nitrogen status. The method may be extended to other types of data, and data fusion can be performed at feature or decision level.

Thesis (M.S.)--Marshall University, 2008. / Title from document title page. Includes abstract. Document formatted into pages: contains [83] p. Includes bibliographical references (p. 74-80).

Thesis (Ph. D.)--University of Missouri-Columbia, 1999. / Typescript. Vita. Includes bibliographical references (leaves 75-77). Also available on the Internet.

Thesis (Ph. D.)--University of Missouri-Columbia, 1999. / Typescript. Vita. Includes bibliographical references (leaves 75-77). Also available on the Internet.

Thesis (Ph. D.)--West Virginia University, 2004. / Title from document title page. Document formatted into pages; contains ix, 144 p. : ill. (some col.), maps (some col.). Includes abstract. Includes bibliographical references.

Thesis (Ph.D.)--Hong Kong University of Science and Technology, 2003. / Includes bibliographical references (leaves 125-131). Also available in electronic version. Access restricted to campus users.

Pinellas County is located on a peninsula in Florida that experiences daily patterns of sea breeze associated rainfall mainly during the summer months of June through August. Previously, rainfall patterns, amounts and timing and severe weather in Pinellas County have not been examined considering dominant wind flow patterns, sea breeze circulations and other atmospheric variables. To improve forecasting of local mesoscale phenomena, this project examined the rainfall patterns, amounts and timing and severe weather occurrences that occur as a result of sea breezes and associated prevailing wind regimes within Pinellas County for the months of June, July and August for the years 1995-2009. Other atmospheric variables are also considered. Through the use of sounding data from the Ruskin, FL National Weather Service (NWS) Station, Pinellas County rainfall station data, and radar-estimated rainfall totals data from the NWS Advanced Hydrologic Prediction Service, the following meteorological parameters were examined: dominant wind direction and speed, stability (convective available potential energy, CAPE and CAPEV; CAPEV is CAPE calculated using virtual temperature). Composites were made of radar-derived rainfall estimates to show where the dominant rainfall occurs in relation to the sounding classifications of dominant wind flow for that day using ArcGIS as an analysis tool. Composite maps of precipitation indicate that the largest range of precipitation across Pinellas County occurs when winds are from the 241-300° direction category. The soundings were also used to classify days by CAPE, wind speed, and precipitable water. Precipitable water had a significant positive correlation with precipitation amounts in four of the five wind direction categories. Wind speed had significant positive relationships with a southerly wind direction. In order to examine the timing of rainfall associated with each wind direction category, Gr2Analyst was used. Gr2Analyst indicated rainfall occurred earlier in days featuring a westerly flow, and later in days with an easterly flow. Severe weather is also influenced by wind regimes and other atmospheric variables. Wind direction, wind speed, CAPE, precipitable water, and the United States Air Force Severe Weather Threat Index (SWEAT) indices were examined in relation to severe weather. The likelihood of severe weather was related to wind direction, with more events occurring during days with a more easterly flow than westerly. Atmospheric parameters were also examined in relation to each severe weather event.