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Abstract Details
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Activity Number:
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519
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2012 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #305467 |
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Title:
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Spatio-Temporal Trend Analysis of Historic Records of Spring Bird Arrival
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Author(s):
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Ali Arab*+
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Companies:
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Georgetown University
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Address:
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Department of Mathematics, Washington, DC, 20057, United States
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Keywords:
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spatio-temporal models ;
Hierarchical models ;
spring bird arrival ;
trend analysis ;
Bayesian inference ;
climate change
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Abstract:
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Studying changes in the patterns of bird arrival data is important as the migratory process can serve as a potential bioindicator for climate change. There is evidence that changes in trends of ecological processes such as bird migration patterns are correlated with climate effects. The spatial and temporal analysis of bird migration processes will allow climate researchers to learn more about the potential impacts of climate events on shifts in migration patterns. We discuss methods to analyze trends of bird spring arrival data to understand potential statistically significant changes in migration patterns, while accounting for spatial and temporal variability. We use historic bird arrival data from the North American Bird Phenology Program (NABPP) to understand the long-term migration trends and patterns. The NABPP houses a unique and largely forgotten collection of six million migrati
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Authors who are presenting talks have a * after their name.
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