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

Biology Commons

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May 14th, 10:00 AM May 14th, 2:00 PM

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.

 

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