{"id":{"repo_id":"central-wash","oai_identifier":"oai:digitalcommons.cwu.edu:etd-1971"},"canonical_url":"https://search.dev.ndltd.org/etd/central-wash/oai:digitalcommons.cwu.edu:etd-1971","repository":{"repo_id":"central-wash","name":"Central Washington University","base_url":"https://digitalcommons.cwu.edu/do/oai/"},"display":{"title":"Life in the Dirt: Factors Influencing the Behavior and Distribution of Spea Intermontana in Eastern Washington State","abstract":"I divided my thesis into two major studies focusing on the Great Basin Spadefoot Toad, <em>Spea intermontana, </em>at the Beverley Dunes (Beverley, WA)<em>.</em> The first study explored the effects of temperature and water level on the rate of metamorphosis. We gathered data on rates of development, survival, body mass, snout-vent length, and hind leg length of metamorphs under 4 treatments: 20C x High Water, 30C x High Water, 20C x Water Loss, and 30C x Water Loss. These data show that temperature has a stronger effect on the overall rate of metamorphosis of Great Basin Spadefoot Toads. The second study used 5 categories of field data (hydrography, elevation, soil type, land use, and land cover), to produce a predictive model for finding novel populations of Spadefoot Toads in Washington State. Data from local and government agencies were combined with recent ecological and behavioral data from a single location for the model. This model could be an integral tool when researchers are making methodical choices during initial stages of surveying for a target species. We feel our model can serve as an excellent example of an applied GIS-based approach to survey and management techniques.","abstract_html":"I divided my thesis into two major studies focusing on the Great Basin Spadefoot Toad, &lt;em&gt;Spea intermontana, &lt;/em&gt;at the Beverley Dunes (Beverley, WA)&lt;em&gt;.&lt;/em&gt; The first study explored the effects of temperature and water level on the rate of metamorphosis. We gathered data on rates of development, survival, body mass, snout-vent length, and hind leg length of metamorphs under 4 treatments: 20C x High Water, 30C x High Water, 20C x Water Loss, and 30C x Water Loss. These data show that temperature has a stronger effect on the overall rate of metamorphosis of Great Basin Spadefoot Toads. The second study used 5 categories of field data (hydrography, elevation, soil type, land use, and land cover), to produce a predictive model for finding novel populations of Spadefoot Toads in Washington State. Data from local and government agencies were combined with recent ecological and behavioral data from a single location for the model. This model could be an integral tool when researchers are making methodical choices during initial stages of surveying for a target species. We feel our model can serve as an excellent example of an applied GIS-based approach to survey and management techniques.","abstract_has_math":false,"creators":["Brumbaugh, Corey"],"institution":null,"degree_name":"Master of Science (MS)","degree_level":null,"degree_discipline":"Biology","degree_department":null,"school":null,"contributors":["R. Steven Wagner","Wayne Quirk","Robert Weaver"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-01-01T08:00:00Z","date_published":"2018-01-01T08:00:00Z","updated_at":"2026-07-24T01:37:23Z","subjects":["Great Basin Spadefoot Toad","Spea intermontana","metamorphosis","plasticity","Washington","Great Basin","GIS","distribution","predictive model","Desert Ecology","Ecology and Evolutionary Biology","Other Animal Sciences","Zoology"],"languages":["English"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalcommons.cwu.edu/etd/930","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["R. 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We gathered data on rates of development, survival, body mass, snout-vent length, and hind leg length of metamorphs under 4 treatments: 20C x High Water, 30C x High Water, 20C x Water Loss, and 30C x Water Loss. These data show that temperature has a stronger effect on the overall rate of metamorphosis of Great Basin Spadefoot Toads. The second study used 5 categories of field data (hydrography, elevation, soil type, land use, and land cover), to produce a predictive model for finding novel populations of Spadefoot Toads in Washington State. Data from local and government agencies were combined with recent ecological and behavioral data from a single location for the model. This model could be an integral tool when researchers are making methodical choices during initial stages of surveying for a target species. We feel our model can serve as an excellent example of an applied GIS-based approach to survey and management techniques."]},{"key":"dc:title","label":"Title","values":["Life in the Dirt: Factors Influencing the Behavior and Distribution of Spea Intermontana in Eastern Washington State"]}]}],"canonical_facts":{"dc:contributor":["R. Steven Wagner","Wayne Quirk","Robert Weaver"],"dc:creator":["Brumbaugh, Corey"],"dc:date.available":["2020-07-17T07:00:00Z"],"dc:description.abstract":["I divided my thesis into two major studies focusing on the Great Basin Spadefoot Toad, <em>Spea intermontana, </em>at the Beverley Dunes (Beverley, WA)<em>.</em> The first study explored the effects of temperature and water level on the rate of metamorphosis. We gathered data on rates of development, survival, body mass, snout-vent length, and hind leg length of metamorphs under 4 treatments: 20C x High Water, 30C x High Water, 20C x Water Loss, and 30C x Water Loss. These data show that temperature has a stronger effect on the overall rate of metamorphosis of Great Basin Spadefoot Toads. The second study used 5 categories of field data (hydrography, elevation, soil type, land use, and land cover), to produce a predictive model for finding novel populations of Spadefoot Toads in Washington State. Data from local and government agencies were combined with recent ecological and behavioral data from a single location for the model. This model could be an integral tool when researchers are making methodical choices during initial stages of surveying for a target species. 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