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THE CALIFORNIA PHENOLOGY COLLECTIONS NETWORK: USING DIGITAL IMAGES TO INVESTIGATE PHENOLOGICAL CHANGE IN A BIODIVERSITY HOTSPOT

Authors :
Tom Huggins
Lluvia Flores-Rentería
Staci Markos
Danny McCamish
Katja C. Seltmann
Jenn Yost
Andrew C. Sanders
Colleen A. Hatfield
Rebecca E. Crowe
Jon P. Rebman
Philip W. Rundel
Michael R. Mesler
Lars T. Rosengreen
Ellen Dean
Jason Andrew Alexander
Amy Litt
Peter A. Bowler
Michael G. Simpson
Teri Barry
Larry Hendrickson
Lucinda A. McDade
Kirsten M. Fisher
Joshua P. Der
Mare Nazaire
Susan J. Mazer
Kimberlyn Williams
Christopher Lay
Daniel Potter
Layla Aerne Hains
Robin Bencie
Brent D. Mishler
Edward Gilbert
Amanda E. Fisher
Katelin D. Pearson
Gregory A. Wahlert
C. Matt Guilliams
Paul Wilson
Katherine Waselkov
Lawrence Janeway
Benjamin E. Carter
Source :
Madroño. 66:130
Publication Year :
2020
Publisher :
California Botanical Society, 2020.

Abstract

The California Phenology Thematic Collections Network (CAP TCN) is a collaborative project that seeks to maximize the value of herbarium specimens and their data, especially for understanding changes in plant phenology due to anthropogenic climate change. The project unites personnel in herbaria at California universities, research stations, natural history museums, and botanic gardens with the goal of capturing images, transcribing label data, and producing georeferenced coordinates of nearly one million preserved plant specimens collected over the past 150+ years. Each digitized specimen will also be scored for its phenological status—the stage of growth and reproduction of the specimen such as flowering or fruiting. The CAP TCN is developing efficient workflows and data standards necessary to collect, store, and analyze trait data from specimens to ensure their utility for research and other applications. These novel resources and data will enable powerful research in phenology and other topics in the California Floristic Province biodiversity hotspot and beyond.

Details

ISSN :
00249637
Volume :
66
Database :
OpenAIRE
Journal :
Madroño
Accession number :
edsair.doi...........d3d485a19b187ccba9595560a5a24363
Full Text :
https://doi.org/10.3120/0024-9637-66.4.130