Using phenological cameras to track the green up in a cerrado savanna and its on-the-ground validation

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dc.contributor.authorAlberton, Bruna
dc.contributor.authorAlmeida, Jurandy [UNIFESP]
dc.contributor.authorHelm, Raimund
dc.contributor.authorTorres, Ricardo da S.
dc.contributor.authorMenzel, Annette
dc.contributor.authorCerdeira Morellato, Leonor Patricia
dc.contributor.institutionUNESP Univ Estadual Paulista
dc.contributor.institutionUniversidade Federal de São Paulo (UNIFESP)
dc.contributor.institutionTech Univ Munich
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.date.accessioned2016-01-24T14:35:03Z
dc.date.available2016-01-24T14:35:03Z
dc.date.issued2014-01-01
dc.description.abstractPlant phenology has gained new importance in the context of global change research, stimulating the development of novel technologies for phenological observations. Regular digital cameras have been effectively used as three-channel imaging sensors, providing measures of leaf color change or phenological shifts in plants. We monitored a species rich Brazilian cerrado savanna to assess the reliability of digital images to detect leaf-changing patterns. Analysis was conducted by extracting color information from selected parts of the image named regions of interest (ROIs). We aimed to answer the following questions: (i) Do digital cameras capture leaf changes in cerrado savanna vegetation? (ii) Can we detect differences in phenological changes among species crowns and the cerrado community? (iii) Is the greening pattern detected for each species by digital camera validated by our on-the-ground leafing phenology (direct observation of tree leaf changes)? We analyzed daily sequences of five images per hour, taken from 6:00 to 18:00 h, recorded during the cerrado main leaf flushing season. We defined 24 ROIs in the original digital image, including total or partial regions and crowns of six plant species. Our results indicated that: (i) for the studied period, single plant species ROIs were more sensitive to changes in relative green values than the community ROIs, (ii) three leaf strategies could be depicted from the species' ROI patterns of green color change, and (iii) the greening patterns and leaf functional groups were validated by our on-the-ground phenology. We concluded that digital cameras are reliable tools to monitor high diverse tropical seasonal vegetation and it is sensitive to inter-species differences of leafing patterns. (C) 2014 Elsevier B.V. All rights reserved.en
dc.description.affiliationUNESP Univ Estadual Paulista, Dept Bot, Phenol Lab, Inst Biociencias, BR-13506900 Rio Claro, SP, Brazil
dc.description.affiliationFed Univ São Paulo UNIFESP, Inst Sci & Technol, BR-12231280 Sao Jose Dos Campos, SP, Brazil
dc.description.affiliationTech Univ Munich, Ctr Life & Food Sci, D-85354 Freising Weihenstephan, Germany
dc.description.affiliationUniv Campinas UNICAMP, Inst Comp, RECOD Lab, BR-13083852 Campinas, SP, Brazil
dc.description.affiliationTech Univ Munich, Inst Adv Study, D-85748 Garching, Germany
dc.description.affiliationUnifespFed Univ São Paulo UNIFESP, Inst Sci & Technol, BR-12231280 Sao Jose Dos Campos, SP, Brazil
dc.description.sourceWeb of Science
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipEuropean Research Council under the European Union
dc.description.sponsorshipTechnische Universitat Munchen - Institute for Advanced Study
dc.description.sponsorshipGerman Excellence Initiative
dc.description.sponsorshipIDFAPESP: 2010/52113-5
dc.description.sponsorshipIDFAPESP: 2010/51307-0
dc.description.sponsorshipIDFAPESP: 2007/59779-6
dc.description.sponsorshipIDCAPES: 360/11
dc.description.sponsorshipIDEuropean Research Council under the European Union: 282250
dc.format.extent62-70
dc.identifierhttp://dx.doi.org/10.1016/j.ecoinf.2013.12.011
dc.identifier.citationEcological Informatics. Amsterdam: Elsevier B.V., v. 19, p. 62-70, 2014.
dc.identifier.doi10.1016/j.ecoinf.2013.12.011
dc.identifier.issn1574-9541
dc.identifier.urihttp://repositorio.unifesp.br/handle/11600/37238
dc.identifier.wosWOS:000332441100008
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofEcological Informatics
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.subjectLeafingen
dc.subjectLeaf traitsen
dc.subjectCerradoen
dc.subjectData validationen
dc.subjectDigital cameraen
dc.subjectPhenologyen
dc.titleUsing phenological cameras to track the green up in a cerrado savanna and its on-the-ground validationen
dc.typeinfo:eu-repo/semantics/article
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