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Testing hopkins' bioclimatic law with PhenoCam data

hal.structure.identifierSchool of Informatics, Computing, and Cyber Systems [SICCS]
hal.structure.identifierNorthern Arizona University [Flagstaff]
dc.contributor.authorRICHARDSON, Andrew D.
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
hal.structure.identifierDepartment of Applied Ecology and Environmental Biology
dc.contributor.authorHUFKENS, Koen
hal.structure.identifierDepartment of Earth and Atmospheric Sciences [Lincoln]
dc.contributor.authorLI, Xiaolu
hal.structure.identifierDepartment of Earth and Atmospheric Sciences [Lincoln]
dc.contributor.authorAULT, Toby R.
dc.date.accessioned2024-04-08T12:04:25Z
dc.date.available2024-04-08T12:04:25Z
dc.date.issued2019
dc.identifier.issn2168-0450
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196310
dc.description.abstractEn<strong>Premise of the Study</strong> 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. <strong>Methods</strong> “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. <strong>Results</strong> 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. <strong>Discussion</strong> PhenoCam data provide an objective and consistent means by which spatial and temporal patterns in vegetation phenology can be investigated.
dc.language.isoen
dc.publisherWiley
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subjectphenology
dc.subject.enBioclimatic Law
dc.subject.enPhenoCam
dc.subject.endigital repeat photography
dc.subject.engreen chromatic coordinate
dc.subject.entemperature sensitivity
dc.title.enTesting hopkins' bioclimatic law with PhenoCam data
dc.typeArticle de revue
dc.identifier.doi10.1002/aps3.1228
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences de l'environnement
bordeaux.journalApplications in Plant Sciences
bordeaux.pagee01228
bordeaux.volume7
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue3
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02625978
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02625978v1
bordeaux.COinSctx_ver=Z39.88-2004&amp;rft_val_fmt=info:ofi/fmt:kev:mtx:journal&amp;rft.jtitle=Applications%20in%20Plant%20Sciences&amp;rft.date=2019&amp;rft.volume=7&amp;rft.issue=3&amp;rft.spage=e01228&amp;rft.epage=e01228&amp;rft.eissn=2168-0450&amp;rft.issn=2168-0450&amp;rft.au=RICHARDSON,%20Andrew%20D.&amp;HUFKENS,%20Koen&amp;LI,%20Xiaolu&amp;AULT,%20Toby%20R.&amp;rft.genre=article


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