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:
-
[1];
[2];
- 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
- Department of Applied Ecology and Environmental BiologyGhent University Ghent Belgium, INRAUMR ISPA Villenave d'Ornon France
- 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:
- 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. https://doi.org/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. https://doi.org/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},
number = 3,
volume = 7,
place = {United States},
year = {Mon Mar 18 00:00:00 EDT 2019},
month = {Mon Mar 18 00:00:00 EDT 2019}
}
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