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- B12F-07: Spatio-temporal Trends and Environmental Drivers of Plant Phenology Across The PhenoCam Network
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NOLA CC
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Cedric Hagen, Battelle (First Author, Presenting Author)
Alison Post, University of Colorado Boulder
Katya Jay, University of Colorado, Boulder
Michael SanClements, National Ecological Observatory Network (NEON), Battelle
Jaana Back, University of Helsinki
Thomas Bornman, South African Environmental Observation Network (SAEON), Elwandle Coastal Node
Alex Cerón-González, Vrije Universiteit Brussel
Phumlile Cotiyane-Pondo, South African Environmental Observation Network
Rosmery Cruz, University of Delaware
Krutika Deshpande, Northern Arizona University
Gregor Feig, South African Weather Service, now at South African Environmental Observation Network
Christopher Florian, Battelle, National Ecological Observatory Network
Tyler Karns, Battelle
Connor Keating, Battelle
Werner Kutsch, ICOS Headoffice
Christine Laney, National Ecological Observatory Network, Battelle
Hank Loescher, Battelle - National Ecological Observatory Network
Paula Mabee, Battelle
Michael Mirtl, Helmholtz Centre for Environmental Research GmbH
Beryl Morris, University of Queensland
Bailey Murphy, Oak Ridge National Laboratory
Thomas Ohnemus, Helmholtz Centre for Environmental Research - UFZ
Lilit Pogosyan, Instituto de Ecología AC
Angela Possinger, Virginia Tech
Mikkel Quam, NSF ASCEND Engine in Colorado and Wyoming
Andrew Richardson, Northern Arizona University
Samuel Villarreal, Centro de Investigación en Materiales Avanzados S.C.
Benjamin Ruddell, Northern Arizona University
J. Alexander Siggers, Colorado State University
Melinda Smith, Colorado State University
Tyson Swetnam, University of Arizona
Christian Poppe, Forschungszentrum Julich GmbH
Qiaoyun Xie, The University of Western Australia
Adam Young, Battelle, National Ecological Observatory Network
Scientists usually track when plants undergo seasonal changes by visiting sites in person or using satellite imagery. However, these methods can be expensive, time-consuming, or not detailed enough. Phenology cameras (phenocams, or digital cameras that automatically take regular photos of plants) help collect this information more easily and cheaply. In this study, early career researchers from the Global Ecosystem Research Infrastructure (GERI) used data from the PhenoCam Network, which gathers standardized plant photos from hundreds of cameras worldwide, to understand widespread phenology trends. We analyzed data from over 300 locations, covering more than 1,500 site-years, to look for patterns in seasonal plant changes and how these relate to temperature and rainfall. We found that in many places, the timing of these seasonal events (like when the growing season ends) is changing significantly, and these changes are closely linked to temperature and rainfall. The direction and size of these changes depended on the location and type of ecosystem. More work is still needed in less-studied regions of the world, like the global south, to get a fuller picture of global trends. This research highlights both the value and the challenges of using large, harmonized datasets to answer important environmental questions.
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