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Title: Testing Hopkins’ Bioclimatic Law with PhenoCam data

Abstract

We investigated the spatial and temporal patterns of vegetation phenology with phenometrics derived from PhenoCam imagery. Specifically, we evaluated the Bioclimatic Law proposed by Hopkins, which relates phenological transitions to latitude, longitude, and elevation. “Green-up” and “green-down” dates—representing the start and end of the annual cycles of vegetation activity—were estimated from measures of canopy greenness calculated from digital repeat photography. We used data from 65 deciduous broadleaf (DB) forest sites, 18 evergreen needleleaf (EN) forest sites, and 21 grassland (GR) sites. DB green-up dates were well correlated with mean annual temperature and varied along spatial gradients consistent with the Bioclimatic Law. Interannual variation in DB phenology was most strongly associated with temperature anomalies during a relatively narrow window of time. EN phenology was not well correlated with either climatic factors or spatial gradients, but similar to DB phenology, interannual variation was most closely associated with temperature anomalies. For GR sites, mean annual precipitation explained most of the spatial variation in the duration of vegetation activity, whereas both temperature and precipitation anomalies explained interannual variation in phenology. PhenoCam data provide an objective and consistent means by which spatial and temporal patterns in vegetation phenology can be investigated.

Authors:
ORCiD logo [1]; ORCiD logo [2];  [3];  [3]
  1. School of Informatics, Computing, and Cyber SystemsNorthern Arizona University Flagstaff Arizona 86011 USA, Center for Ecosystem Science and SocietyNorthern Arizona University Flagstaff Arizona 86011 USA
  2. Department of Applied Ecology and Environmental BiologyGhent University Ghent Belgium, INRAUMR ISPA Villenave d'Ornon France
  3. Department of Earth and Atmospheric SciencesCornell University Ithaca New York 14853 USA
Publication Date:
Research Org.:
Princeton Univ., NJ (United States)
Sponsoring Org.:
USDOE Office of Science (SC); National Science Foundation (NSF); USGS; French National Research Agency (ANR)
OSTI Identifier:
1501697
Alternate Identifier(s):
OSTI ID: 1501700; OSTI ID: 1612374
Grant/Contract Number:  
SC0016011
Resource Type:
Journal Article: Published Article
Journal Name:
Applications in Plant Science
Additional Journal Information:
Journal Name: Applications in Plant Science Journal Volume: 7 Journal Issue: 3; Journal ID: ISSN 2168-0450
Publisher:
Botanical Society of America
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; plant sciences; Bioclimatic Law; digital repeat photography; green chromatic coordinate; PhenoCam; phenology; temperature sensitivity

Citation Formats

Richardson, Andrew D., Hufkens, Koen, Li, Xiaolu, and Ault, Toby R. Testing Hopkins’ Bioclimatic Law with PhenoCam data. United States: N. p., 2019. Web. doi:10.1002/aps3.1228.
Richardson, Andrew D., Hufkens, Koen, Li, Xiaolu, & Ault, Toby R. Testing Hopkins’ Bioclimatic Law with PhenoCam data. United States. doi:10.1002/aps3.1228.
Richardson, Andrew D., Hufkens, Koen, Li, Xiaolu, and Ault, Toby R. Mon . "Testing Hopkins’ Bioclimatic Law with PhenoCam data". United States. doi:10.1002/aps3.1228.
@article{osti_1501697,
title = {Testing Hopkins’ Bioclimatic Law with PhenoCam data},
author = {Richardson, Andrew D. and Hufkens, Koen and Li, Xiaolu and Ault, Toby R.},
abstractNote = {We investigated the spatial and temporal patterns of vegetation phenology with phenometrics derived from PhenoCam imagery. Specifically, we evaluated the Bioclimatic Law proposed by Hopkins, which relates phenological transitions to latitude, longitude, and elevation. “Green-up” and “green-down” dates—representing the start and end of the annual cycles of vegetation activity—were estimated from measures of canopy greenness calculated from digital repeat photography. We used data from 65 deciduous broadleaf (DB) forest sites, 18 evergreen needleleaf (EN) forest sites, and 21 grassland (GR) sites. DB green-up dates were well correlated with mean annual temperature and varied along spatial gradients consistent with the Bioclimatic Law. Interannual variation in DB phenology was most strongly associated with temperature anomalies during a relatively narrow window of time. EN phenology was not well correlated with either climatic factors or spatial gradients, but similar to DB phenology, interannual variation was most closely associated with temperature anomalies. For GR sites, mean annual precipitation explained most of the spatial variation in the duration of vegetation activity, whereas both temperature and precipitation anomalies explained interannual variation in phenology. PhenoCam data provide an objective and consistent means by which spatial and temporal patterns in vegetation phenology can be investigated.},
doi = {10.1002/aps3.1228},
journal = {Applications in Plant Science},
issn = {2168-0450},
number = 3,
volume = 7,
place = {United States},
year = {2019},
month = {3}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1002/aps3.1228

Citation Metrics:
Cited by: 6 works
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    Works referencing / citing this record:

    Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset
    journal, October 2019