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Estimating phenology and phenological shifts with hierarchical modeling
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2023
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Source: Ecology (2023)
[PDF-1.79 MB]
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Journal Title:Ecology
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NOAA Program & Office:
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Description:Climate-driven changes to phenology are some of the most prevalent climate change impacts, yet there is no commonly accepted approach to modeling phenological shifts. Here, we present a hierarchical modeling framework for estimating intra-annual patterns in phenology (e.g., peak phenologicalexpression) and analyzing interannual rates of change in peak phenology. Our approach allows for the estimation of multiple sources of uncertainty, including observation error (e.g., imperfect observations of intra-annual pat-
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Source:Ecology (2023)
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DOI:
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ISSN:0012-9658;1939-9170;
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License:
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Rights Information:CC BY
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Compliance:Library
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