DOE Data Explorer title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: SPRUCE Ground Observations of Phenology in Experimental Plots, 2022

Abstract

This data set consists of one comma separated (*.csv) file containing phenological transition dates, as derived from direct observations of vegetative and reproductive phenology recorded by a human observer, from the SPRUCE experiment during 2022 (2022-03-28 to 2021-11-17), the seventh full year of whole-ecosystem warming (Hanson et al. 2017). Both spring and autumn phenological events are included. Since April 2016, human observers have been directly tracking the phenology of both woody and herbaceous species on a weekly schedule within the SPRUCE experimental chambers, these data are reported in annual ground observations data sets (see Related Data Sets). The observed date reported here is the first survey date in 2022 on which an event/phenophase was definitively observed. This data set also contains a companion file in HTML (*.html) containing figures showing the relationship between the day of year and temperature treatment for different phenological phases by species for 2022.

Authors:
ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo ; ORCiD logo
  1. Northern Arizona Univ., Flagstaff, AZ (United States)
  2. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Publication Date:
DOE Contract Number:  
AC05-00OR22725
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Keywords:
SPRUCE experiment, plant phenological phases, Spruce and Peatland Responses Under Changing Environments, Marcell Experimental Forest, Phenophase,
Geolocation:
47.50656,-93.45256|47.5047,-93.45256|47.5047,-93.45399|47.50656,-93.45399|47.50656,-93.45256
OSTI Identifier:
1996808
DOI:
https://doi.org/10.25581/spruce.107/1996808
Project Location:


Citation Formats

Richardson, Andrew, Pearson, Kyle J, Schädel, Christina, Blais, J, Warren, Jeffrey, and Hanson, Paul J. SPRUCE Ground Observations of Phenology in Experimental Plots, 2022. United States: N. p., 2023. Web. doi:10.25581/spruce.107/1996808.
Richardson, Andrew, Pearson, Kyle J, Schädel, Christina, Blais, J, Warren, Jeffrey, & Hanson, Paul J. SPRUCE Ground Observations of Phenology in Experimental Plots, 2022. United States. doi:https://doi.org/10.25581/spruce.107/1996808
Richardson, Andrew, Pearson, Kyle J, Schädel, Christina, Blais, J, Warren, Jeffrey, and Hanson, Paul J. 2023. "SPRUCE Ground Observations of Phenology in Experimental Plots, 2022". United States. doi:https://doi.org/10.25581/spruce.107/1996808. https://www.osti.gov/servlets/purl/1996808. Pub date:Sun Jan 01 00:00:00 EST 2023
@article{osti_1996808,
title = {SPRUCE Ground Observations of Phenology in Experimental Plots, 2022},
author = {Richardson, Andrew and Pearson, Kyle J and Schädel, Christina and Blais, J and Warren, Jeffrey and Hanson, Paul J},
abstractNote = {This data set consists of one comma separated (*.csv) file containing phenological transition dates, as derived from direct observations of vegetative and reproductive phenology recorded by a human observer, from the SPRUCE experiment during 2022 (2022-03-28 to 2021-11-17), the seventh full year of whole-ecosystem warming (Hanson et al. 2017). Both spring and autumn phenological events are included. Since April 2016, human observers have been directly tracking the phenology of both woody and herbaceous species on a weekly schedule within the SPRUCE experimental chambers, these data are reported in annual ground observations data sets (see Related Data Sets). The observed date reported here is the first survey date in 2022 on which an event/phenophase was definitively observed. This data set also contains a companion file in HTML (*.html) containing figures showing the relationship between the day of year and temperature treatment for different phenological phases by species for 2022.},
doi = {10.25581/spruce.107/1996808},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jan 01 00:00:00 EST 2023},
month = {Sun Jan 01 00:00:00 EST 2023}
}