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<title>Environmental Conservation Dissertations Collection</title>
<copyright>Copyright (c) 2013 University of Massachusetts - Amherst All rights reserved.</copyright>
<link>http://scholarworks.umass.edu/eco_diss</link>
<description>Recent documents in Environmental Conservation Dissertations Collection</description>
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<lastBuildDate>Fri, 25 Jan 2013 20:28:12 PST</lastBuildDate>
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<title>Fisher Population Ecology on the Hoopa Valley Indian Reservation, Northwestern California</title>
<link>http://scholarworks.umass.edu/open_access_dissertations/586</link>
<guid isPermaLink="true">http://scholarworks.umass.edu/open_access_dissertations/586</guid>
<pubDate>Tue, 04 Sep 2012 11:56:55 PDT</pubDate>
<description>
	<![CDATA[
	<p>I studied aspects of fisher (Martes pennanti) population ecology on the Hoopa Valley Indian Reservation in northern California to fill critical information gaps relative to timber management and its effect on the status of fishers, a candidate for listing under the U.S. Endangered Species Act. A decline in mark-resight density estimates of fishers from 1998 (52/100 km2; 95% CI = 43-64) to 2005 (14/100 km2; 13-16) was likely due to changes in prey habitat suitability, increased predation pressure, and/or disease. The decline was also indicated by catch-per-unit effort indices, but not by camera station or track-plate station indices. Colleagues and I developed and tested methods of collecting mark-recapture data using genetic marking, passive integrated transponder (PIT) tag technology, and digital, passive-infrared photography that could be used in a demographic monitoring protocol. The comparatively high cost of PIT tag reading equipment and genetic analyses makes the use these methods dramatically more expensive and yield less demographic data compared to using a traditional mark-recapture approach using only live trapping. By monitoring 40 radio-marked, breeding age (> 2 years old) females during 2005-2011, we found that 87% exhibited denning behavior and 65% of these were successful in weaning at least one kit (mean = 1.9). Of 14 kits radio-marked in their first fall, 3 died prior to dispersal, 3 lost collars, and the other 8 established home ranges 0.8-18.0 km away from natal areas. Nipple size (width multiplied by height of the largest anterior nipple), evaluated as a predictive index of female fisher reproductive success, differed among nonbreeders vs. attempted and current breeders. A predictive index for use in assigning reproductive status to females with unknown reproductive histories had an overall correct classification rate of 81% and a chance-corrected measure of prediction of 69.5%. These results illustrate the value in establishing long-term, accurate programs to monitor populations of imperiled species which strive to determine cause and affect relationships to changes in populations and ultimately, modeling habitat fitness. The relatively low reproductive rate of female fishers brings into question the species ability to demographically respond to increased rates of juvenile and adult mortality with increased reproduction and/or survival. The limited dispersal capability of juvenile fishers restricts ability to rescue vanishing local populations from extirpation, re-inhabit landscapes from which they were previously extirpated, and establish the functional connectivity of metapopulations.</p>

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<author>Matthews, Sean Michael</author>

<source></source>

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<title>Finding Blame for Environmental Outcomes: A Cognitive Style Approach to Understanding Stakeholder Attributions, Attitudes, and Values</title>
<link>http://scholarworks.umass.edu/open_access_dissertations/457</link>
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<pubDate>Tue, 06 Dec 2011 11:08:57 PST</pubDate>
<description>
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	<p>This study sought to connect two bodies of knowledge--integrative complexity and attribution theory. Integrative complexity is a term that indicates the simplicity vs. complexity of a person's mental frame and perceptual skill. A person who perceives nuance and subtle differences typically scores higher on an integrative complexity measure. Attribution theories are concerned with how individuals perceive causation for various events. The limited research into the linkages between perceived causation for an event and how complexly a person thinks about the domain of that event, coupled with the dearth of attribution research in the natural resource management literature, inspired this research. Florida Keys coral reef users were sent a mail questionnaire between July 2009 and March 2010. Integrative complexity level was determined using an index that was developed for this research. Based on attributional and cognitive complexity literature, it was hypothesized that people who score lower in integrative complexity would exhibit an "external" attribution pattern. Integrative complexity was also proposed to influence: attitude and value extremity; number of perceived problem causes; and use of mediated communication. Finally, it was hypothesized that individuals will assign more blame to other groups than to their own. Six of the study's seven null hypotheses were rejected: 1) a significant relationship was found between integrative complexity level and the number of causes that respondents recorded for the decline of the Florida Keys reef ecosystem, 2) significant differences were observed in attitude extremity according to integrative complexity, 3) significant differences were observed in value orientation according to integrative complexity, 4) significant differences were observed in value extremity according to integrative complexity level, 5) significant differences were observed in mediated communication according to integrative complexity level, and 6) significant differences were observed in blame pattern according to group affiliation. Only one null hypothesis was not rejected: no support was found for a connection between integrative complexity and attribution style. These results indicate support for the integrative complexity index, though work to refine the measure seems in order. Additional recommendations for future research include investigating new approaches to examining the relationship between integrative complexity and attribution style.</p>

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<author>Hawkins, Christopher Thomas</author>

<source></source>

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