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BIRD STRIKE HAZARDS AT AIRPORTS AND ASSESSMENT OF BIRD STRIKES AT A MIDWESTERN AIRPORT: 2000-2007Brown, Robert Jeffrey 13 December 2008 (has links)
No description available.
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A retrospective analysis of sea turtle nest depredation patterns at Canaveral National Seashore, FloridaUnknown Date (has links)
Nest predation can significantly reduce hatchling recruitment in sea turtle populations. This study uses 20 years of data from Canaveral National Seashore, Florida, which has pristine and altered beaches. Chi-square tests were used to determine if secondary predation events were related to the nest's primary depredation event. To determine if human beach use and nest predation are spatially or temporally linked, we ranked human beach use and examined predation frequency across all screened and marked nests (n=40,441). Lastly, I quantified nest predation risk spatially and temporally. I found that primary predation increases the chance of a nest suffering subsequent predation. Primary and multiple predation events occurred with greater frequency in limited use areas and with lowest frequency in moderate use areas. Predation risk decreased by an average of 29.5% from 2000-2008. Nests deposited midseason were 9.8% more likely to be predated than nests deposited early or late. / by Rachel Welicky. / Thesis (M.S.)--Florida Atlantic University, 2010. / Includes bibliography. / Electronic reproduction. Boca Raton, Fla., 2010. Mode of access: World Wide Web.
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Effektivisering av urvalsprocesser vid analysering av björnspillning : Ett förslag till den svenska förvaltningen av brunbjörn Ursus arctosGustafsson, Jonas January 2015 (has links)
The aim with this report is to formulate a strategic method to optimize selection processes of DNA-samples from a faeces inventory to identify as many individuals in as few analyzes as possible, and by that keep down the costs of brown bear management. Brown bear management in Sweden founds today on results from faeces inventory and is substantially led by the county administration boards. Data from the years of 2004 and 2009´s inventories in Västerbotten was used to test and evaluate different methods in selection processes of which faeces that should be sampled. Comparison were made between making selection by chance, by spatial distribution and by calculating variations in logistic regressions coefficient b, in other words bear density and probability in finding same individual in several faeces. We can show making selection by chance is the most uncertain method. Making selection by spatial distribution, without take in account variations in b, provides the highest number of identified individuals at a low labour and thus a low cost. Therefor we strongly recommend future brown bear management to, if not possible to sample all faces in a dataset, make selection by spatial distribution to minimize the risk of sampling the same bear several times.
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The Influence of Landscape and Weather on Foraging by Olfactory Meso-predators in UtahDritz, Rebekah E. 01 May 2010 (has links)
Predation by olfactory meso-predators has a large impact on avian nest success, particularly for ground-nesting waterfowl. Olfactory predators rely on odors to locate their prey. Weather conditions (e.g. wind speed, humidity, and temperature), vegetation, and landscape features affect the dissipation rate of odors and could affect the foraging efficiency of olfactory predators. I conducted 2 studies to determine if weather and landscape impact predator foraging ability and behavior: a predator survey study and an artificial nest study. The objective of the predator survey was to investigate how landscape and weather conditions interact to influence the distribution of olfactory meso-predators [e.g. red foxes (Vulpes vulpes), skunks (Mephitis mephitis), and raccoons (Procyon lotor)] in their nightly foraging on the dike. Specifically, I examined how wind speed, wind orientation, temperature, and humidity affect the distribution, number, and species of olfactory meso-predators foraging on the Arthur V. Watkins Dike at Willard Bay State Park and Reservoir. The objective of the artificial nest study was to determine if weather, vegetation, or nest location relative to a large-scale surface feature have an effect on survival of artificial ground-nests in an area dominated by olfactory meso-predators. Artificial nests were placed on the dike throughout the summer of 2009. Spotlighting surveys for predators were conducted from August 2008 to August 2009. I found that section of the dike, time since study initiation, terrain type on the dike, wind speed, and vegetation height during daylight hours affected nest survival. The results indicated that predators formed olfactory search images in that nest survival decreased over the summer, while predator populations remained constant. I observed foxes, skunks, and raccoons while spotlighting for predators. After accounting for time, wind speed and direction were significant predictors of predators' nightly foraging activity with most predators observed when wind speeds were 2 to 4 m/s and winds were blowing from the northwest. Overall the model accounted for 75% of the nightly variation in predator numbers. Additionally, wind speed and direction impacted where predators were foraging. There were interspecific differences among predators in their responses to wind speed with raccoons being observed more than skunks and foxes when the wind was calm and blowing from the south. The results of the spotlighting data indicate that wind speed and direction have a strong effect on foraging activity. Overall, I concluded that wind speed affects predator foraging ability and behavior.
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Quantifying animal movement: Using a power-law to model the relationship between first passage time and scaleJohnson, Zoë 07 August 2020 (has links)
In a heterogenous environment, an animal will increase its search effort in areas where resources are abundant. This behavior can be detected in a path by a decrease in speed, an increase in tortuosity, or both. First passage time, the amount of time required for an animal to traverse a circle of a given radius, or buffer, is a common metric for quantifying spatial and temporal changes along a path. Historical methodology involving first passage time limits the utility of this metric. Here we instead follow the methodology put forth by Street et al. (2018) and use a power-law model to characterize the relationship between first passage time and the scale of the first passage time buffer radii. We then test the model’s applicability across multiple movement modes using simulated data and further explore its utility by applying it to a dataset of deer movement and the associated landscape data.
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