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Using spatiotemporal correlative niche models for evaluating the effects of climate change on mountain pine beetle

dc.contributor.authorSidder, Aaron M., author
dc.contributor.authorLaituri, Melinda, advisor
dc.contributor.authorKumar, Sunil, advisor
dc.contributor.authorSibold, Jason, committee member
dc.date.accessioned2015-08-28T14:35:31Z
dc.date.available2015-08-28T14:35:31Z
dc.date.issued2015
dc.descriptionZip file contains Appendix 7. Database metadata and organization; and data files.
dc.description.abstractOver the last decade western North America has experienced the largest mountain pine beetle (Dendroctonus ponderosae Hopkins) outbreak in recorded history and Rocky Mountain forests have been severely impacted. Although bark beetles are indigenous to North American forests, climate change has facilitated the beetleā€™s expansion into previously unsuitable habitats. I used three correlative niche models (MaxEnt, Boosted Regression Trees, and Generalized Linear Models) to estimate: (i) the current potential distribution of the beetle in the U.S. Rocky Mountain region, (ii) how this extent has changed since historical outbreaks in the 1960s and 1970s, and (iii) how the potential distribution may be expected to change under future climate scenarios. Additionally, I evaluated the temporal transferability of the niche models by forecasting historical models and testing the model predictions using temporally independent outbreak data from the current outbreak. My results indicated that there has been a significant expansion of climatically suitable habitat over the past 50 years and that much of this expansion corresponds with an upward shift in elevation across the study area. Furthermore, my models indicate that drought was a more prominent driver of current outbreak than temperature, which suggests a change in the climatic signature between historical and current outbreaks. The current climatic niche of the mountain pine beetle includes increased precipitation, colder winter temperatures, and a later spring than the historical climatic niche, which reflects a shift into higher elevation habitats. Projections under future conditions suggest that there will be a large reduction in climatically suitable habitat for the beetle and that high-elevation forests will continue to become more susceptible to outbreak. While all three models generated reasonable predictions (AUC = 0.85 - 0.87), the generalized linear model correctly predicted a higher percentage of current outbreak localities when trained on historical data. My findings suggest that projects aiming to reduce omission error in estimates of future species responses may have greater predictive success with simpler, generalized models.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.format.mediumZIP
dc.format.mediumArcGIS
dc.format.mediumPDF
dc.identifierSidder_colostate_0053N_13159.pdf
dc.identifier.urihttp://hdl.handle.net/10217/167184
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectforest ecology
dc.subjectmodel transferability
dc.subjectspecies distribution models
dc.subjectinsect pests
dc.subjectclimate change
dc.subjectmountain pine beetle
dc.titleUsing spatiotemporal correlative niche models for evaluating the effects of climate change on mountain pine beetle
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineEcology
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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