Thesis (M.S.)--Humboldt State University, 2008. / Includes bibliographical references (leaves 33-36). Also available via Humboldt Digital Scholar.

No description available.

The Texas Marine Mammal Stranding Network (TMMSN) is a valuable data resource for the marine mammal community. Limitations of funding and personnel severely impact the ability of the Network to maintain impeccable databases. This research constructed an application to address database complications and focused on investigating the species identification, temporal and spatial trends for stranding events along the Texas coast. From 1980 to 2004, Tursiops truncatus accounted for approximately 80% of all stranding events. The remainder was 20 additional whale and dolphin species known to reside in the Gulf of Mexico. Tursiops truncatus strand along the entire coastline and are the only species stranding in the bays. All other species stranding are most dense along the southern coastline. The temporal scales of events revealed no linear patterns from 1980 to 2004. A unique cyclic fluctuation occurred from 1992 to 1998, including the highest yearly counts and one isolated mortality event in Port Aransas. Attempts to forecast stranding events beyond 2004 were inconclusive due to multiple factors influencing a stranding event. A bimodal seasonal trend was evident, with events peaking in the spring and fall months. Density distributions by decade isolated three frequent stranding areas: Sabine-Galveston-Brazoria counties, Galveston Shipping Channel, and Corpus Christi Shipping Channel. The final aspect analyzed spatial elaboration of events by creating six location values to describe the Texas coastline. Each event was assigned from the geographical location and the orientation of an event along the coastline. Analysis revealed the segregation of Tursiops truncatus in the bays and confirmed earlier results of density distributions. Examining the locations by time revealed a specific incident connected to a mortality event in 1992, accounting for 59% of the stranding events. Location categories were compared to the TMMSN stranding regions and the regions experienced different location frequencies. This study demonstrated how to construct a stronger database and the necessity for database accuracy. Study conclusions demonstrated the need to better isolate and research factors responsible for event distributions in time and space along the Texas coast to forecast the magnitude and location of stranding events to better aid the TMMSN response efforts.

Thesis (M.S.)--Washington State University, 2003. / Title from PDF title page (viewed on May 27, 2005). Includes bibliographical references (p. 33-38).

Thesis--University of Washington. / Vita. Another copy has number: Thesis 26948. Bibliography: leaves [338]-357.

Thesis (Ph. D.)--Wildlife and Fisheries Sciences Dept., South Dakota State University, 2009. / Includes bibliographical references. Also available via the World Wide Web.

Thesis (Ph. D.)--University of Washington, 1981. / Vita. Bibliography: leaves [241]-251.

No description available.

This thesis combined data from a trapping and radio-telemetry study of snowshoe hares at Kluane Lake, Yukon from January 1984 through August 1985 with data collected at the same site from 1977-83 (Boutin et al. 1986; Krebs et al. 1986) to examine possible causes for the 10-year cycle in density of snowshoe hares. In Chapter 2 I used data on causes of mortality, from a radio-telemetry study of a cyclic snowshoe hare population during 1978-84, to consider the importance of predation in causing the hare cycle. I found that predation during winter was the largest source of mortality for snowshoe hares during 1978-84. There was a 1-year lag in the response of predation mortality to changing hare density. There was a 2-year lag in the response to changing density of mortality due to causes other than predation. I incorporated this information on causes of mortality into a simulation model, to see whether observed predation mortality can cause changes in density similar to those of a cyclic population. I fitted the predation mortality data to a function in which total predator response consists of a Type II functional response and a delayed density-dependent numerical response. Using a simulation model that predicted mortality rates with this function, I produced 8-11 year cycles within parameter values measured in this study. In Chapter 3 I compared a non-cyclic snowshoe hare population on Jacquot Island in Kluane Lake, with a cyclic population on the mainland, 40 km to the SE. I use trapping data from both mainland and island sites, for a period that included population increase, peak, and decline (1977-85) to test hypotheses of conditions sufficient to cause a hare population cycle. I also presented results from a radio-telemetry study, conducted on both mainland and island during a population low on the mainland (1984-85). The hypothesis that high rates of recruitment followed by low rates of recruitment, is sufficient to cause a cycle was not supported. Data presented was consistent with hypotheses that any one of the following conditions was sufficient to cause the hare cycle: 1. High rates of survival followed by low rates of survival, particularly of juveniles 2. Delayed density-dependent predation 3. Periodic food shortage. / Science, Faculty of / Zoology, Department of / Graduate

A collection of poems.