Estimating phenology and phenological shifts with hierarchical modeling

Wilson, Samantha M.; Anderson, Joseph H.; Ward, Eric J.

doi:10.1002/ecy.4061

i

Estimating phenology and phenological shifts with hierarchical modeling

Supporting Files

2023
By Wilson, Samantha M. ; Anderson, Joseph H. ; Ward, Eric J.

Details

Journal Title:

Ecology
Personal Author:

Wilson, Samantha M. ; Anderson, Joseph H. ; Ward, Eric J.
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; NWFSC (Northwest Fisheries Science Center)
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-
Keywords:

Ecology, Evolution, Behavior and Systematics
Source:

Ecology (2023)
DOI:

https://doi.org/10.1002/ecy.4061
ISSN:

0012-9658 ; 1939-9170
Format:

PDF
Publisher:

Wiley
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
Compliance:

Library
Main Document Checksum:

urn:sha256:4cbf50e4046e3cbbc9bd164195149c2dccc6c955b1a50281ac449612e93b5a60
Download URL:

https://repository.library.noaa.gov/view/noaa/55072/noaa_55072_DS1.pdf
File Type:

[PDF - 1.79 MB ]

Machine readable version (XML)

Download

ON THIS PAGE

Details Supporting Files

The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.