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Temperature-dependent butterfly dynamicsWheeler, Jeanette Unknown Date
No description available.
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The Future of Squaw Valley and Alpine MeadowsFriel, Brian 01 January 2015 (has links)
This paper examines the ongoing conflict between Squaw Valley Ski Holdings and the local Tahoe community and analyzes this conflict within the greater historical context of ski resort consolidation and development across the Western United States.
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Temperature-dependent butterfly dynamicsWheeler, Jeanette 11 1900 (has links)
Climate change is currently a central problem in ecology, with far-reaching effects on species that may be diffcult to quantify. Ectothermic species which rely on environmental cues to complete successive stages of their life history are especially sensitive to temperature changes and so are good indicators of the impacts of climate change on ecosystems. Based on data collected in growth experiments for the alpine butterfly Parnassius smintheus (Rocky Mountain Apollo), a novel mathematical model is presented to study developmental rate in larval insects. The movement of an individual through larval instars is treated as a discrete-time four-outcome Bernoulli process, where class transition and death are assigned temperature-dependent probabilities. Transition and mortality probabilities are estimated using maximum likelihood estimation techniques. This adult emergence model is then integrated into a reproductive success model, and multi-year implications of climate change on the population dynamics of P. smintheus are explored. / Applied Mathematics
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Humming along or buzzing off?: the elusive consequences of plant-pollinator mismatches and factors limiting seed set in the Coast Range of British ColumbiaStraka, Jason Ryan 29 November 2012 (has links)
There is concern that climate change may cause mismatches between timing of flowering and activity of pollinators (phenology). However, concluding that mismatches will occur, and have serious consequences for pollination services, requires assumptions that have not yet been tested. I begin by discussing a set of these assumptions, bringing past research into the context of mismatch. Briefly, the assumptions are that 1) dates of first-flowering or emergence (DFFE) correctly describe phenology (and therefore mismatch); 2) differences in DFFE represent the magnitude of mismatch; 3) advancement of DFFE will be the primary phenological change; 4) shifts will be random and independent for each species; 5) populations of plants and pollinators are “bottom-up” regulated by their mutualistic interactions; 6) all interactions are of similar strength and importance; 7) dispersal, and the spatial context of phenological mismatches can be ignored; and ecological processes including 8) phenotypic plasticity and adaptive evolution of phenology, 9) competition and facilitation, and 10) emergence of novel interactions, will not affect mismatches. I then describe novel experiments, which could help to account for some of these assumptions, clarifying the existence and impacts of mismatches.
Next, I present an original field experiment on factors affecting seed set in an alpine meadow in the Coast Range of British Columbia, Canada. I found evidence contradicting the assumption that seed set is primarily limited by pollination. My data highlight the roles of phenology, temperature (degree-days above 15°C, and frost hours), and interactions with pollinators (mutualists) and seed-predators (floral antagonists) in driving patterns of seed set. Seed set of early and late-flowering species responded differently to a 400m elevation gradient, which might be explained by phenology of bumble bees. My data suggest that the consequences of mismatch may be smallest for plants that are fly-pollinated and self-fertile. Non-selfing, bee-pollinated species might be more prone to reproductive limitation through mismatch (affected by snowmelt and cumulative degree-days). Plants that are limited by seed-predators might be negatively affected by warming temperatures with fewer frost hours, and extreme events such as late-season frosts and hail storms can prevent plants from setting seed entirely. Overall, my work emphasizes the importance of complementing theory, data-driven simulations, and meta-analyses with experiments carried out in the field. / Graduate
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