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Testing Hopkins’ Bioclimatic Law with PhenoCam data

PREMISE OF THE STUDY: 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. METHODS:...

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Detalles Bibliográficos
Autores principales: Richardson, Andrew D., Hufkens, Koen, Li, Xiaolu, Ault, Toby R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6426166/
https://www.ncbi.nlm.nih.gov/pubmed/30937220
http://dx.doi.org/10.1002/aps3.1228
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author Richardson, Andrew D.
Hufkens, Koen
Li, Xiaolu
Ault, Toby R.
author_facet Richardson, Andrew D.
Hufkens, Koen
Li, Xiaolu
Ault, Toby R.
author_sort Richardson, Andrew D.
collection PubMed
description PREMISE OF THE STUDY: 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. METHODS: “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. RESULTS: 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. DISCUSSION: PhenoCam data provide an objective and consistent means by which spatial and temporal patterns in vegetation phenology can be investigated.
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spelling pubmed-64261662019-04-01 Testing Hopkins’ Bioclimatic Law with PhenoCam data Richardson, Andrew D. Hufkens, Koen Li, Xiaolu Ault, Toby R. Appl Plant Sci Application Articles PREMISE OF THE STUDY: 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. METHODS: “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. RESULTS: 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. DISCUSSION: PhenoCam data provide an objective and consistent means by which spatial and temporal patterns in vegetation phenology can be investigated. John Wiley and Sons Inc. 2019-03-18 /pmc/articles/PMC6426166/ /pubmed/30937220 http://dx.doi.org/10.1002/aps3.1228 Text en © 2019 Richardson et al. Applications in Plant Sciences is published by Wiley Periodicals, Inc. on behalf of the Botanical Society of America This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Application Articles
Richardson, Andrew D.
Hufkens, Koen
Li, Xiaolu
Ault, Toby R.
Testing Hopkins’ Bioclimatic Law with PhenoCam data
title Testing Hopkins’ Bioclimatic Law with PhenoCam data
title_full Testing Hopkins’ Bioclimatic Law with PhenoCam data
title_fullStr Testing Hopkins’ Bioclimatic Law with PhenoCam data
title_full_unstemmed Testing Hopkins’ Bioclimatic Law with PhenoCam data
title_short Testing Hopkins’ Bioclimatic Law with PhenoCam data
title_sort testing hopkins’ bioclimatic law with phenocam data
topic Application Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6426166/
https://www.ncbi.nlm.nih.gov/pubmed/30937220
http://dx.doi.org/10.1002/aps3.1228
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