Research Mentor(s)
Peterson, Merrill A., 1965-
Description
Climate change is altering the distribution, behavior, and migration patterns of many species. Typically, these responses are documented studies in which standardized methods are used to collect population or behavioral data over several years. Multi-decade studies are rare and few predate the recent dramatic increase in global temperatures, limiting our ability to understand long-term consequences of climate change. Natural history (NH) collections offer a potential solution; they hold a wealth of species occurrence documentation spanning from decades to centuries. However, because the sampling of natural history collectors is spatially and temporally haphazard, it remains unclear whether NH data is useful for examining the effects of climate change. We investigated whether statistical methods could be developed for NH specimen data, focusing on the large PNW Moth database. Moths are good candidates for this research because collectors have sampled them in the region for over a century. We selected a test case species with >700 database records and assessed whether annual shifts in flight date, correcting for the effects of latitude and elevation, could be detected with generalized linear mixed-effects models. We found that this approach has great promise for detecting temporal shifts, despite the non-standardized sampling inherent in NH data.
Document Type
Event
Start Date
14-5-2015 10:00 AM
End Date
14-5-2015 2:00 PM
Department
Biology
Genre/Form
student projects; posters
Subjects – Topical (LCSH)
Species--Climatic factors--Forecasting; Climatic changes
Geographic Coverage
Northwest, Pacific
Type
Image
Keywords
Climate change, Natural history data, Bioinformatics, GLMM
Rights
Copying of this document in whole or in part is allowable only for scholarly purposes. It is understood, however, that any copying or publication of this documentation for commercial purposes, or for financial gain, shall not be allowed without the author's written permission.
Language
English
Format
application/pdf
Included in
Can Collection Specimen Data Reveal Temporal Shifts Due to Climate Change?
Climate change is altering the distribution, behavior, and migration patterns of many species. Typically, these responses are documented studies in which standardized methods are used to collect population or behavioral data over several years. Multi-decade studies are rare and few predate the recent dramatic increase in global temperatures, limiting our ability to understand long-term consequences of climate change. Natural history (NH) collections offer a potential solution; they hold a wealth of species occurrence documentation spanning from decades to centuries. However, because the sampling of natural history collectors is spatially and temporally haphazard, it remains unclear whether NH data is useful for examining the effects of climate change. We investigated whether statistical methods could be developed for NH specimen data, focusing on the large PNW Moth database. Moths are good candidates for this research because collectors have sampled them in the region for over a century. We selected a test case species with >700 database records and assessed whether annual shifts in flight date, correcting for the effects of latitude and elevation, could be detected with generalized linear mixed-effects models. We found that this approach has great promise for detecting temporal shifts, despite the non-standardized sampling inherent in NH data.