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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/112772
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dc.contributor.authorAlberton, Bruna-
dc.contributor.authorAlmeida, Jurandy-
dc.contributor.authorHelm, Raimund-
dc.contributor.authorTorres, Ricardo da S.-
dc.contributor.authorMenzel, Annette-
dc.contributor.authorCerdeira Morellato, Leonor Patricia-
dc.date.accessioned2014-12-03T13:11:02Z-
dc.date.accessioned2016-10-25T20:11:57Z-
dc.date.available2014-12-03T13:11:02Z-
dc.date.available2016-10-25T20:11:57Z-
dc.date.issued2014-01-01-
dc.identifierhttp://dx.doi.org/10.1016/j.ecoinf.2013.12.011-
dc.identifier.citationEcological Informatics. Amsterdam: Elsevier Science Bv, v. 19, p. 62-70, 2014.-
dc.identifier.issn1574-9541-
dc.identifier.urihttp://hdl.handle.net/11449/112772-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/112772-
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.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.format.extent62-70-
dc.language.isoeng-
dc.publisherElsevier B.V.-
dc.sourceWeb of Science-
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.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade de São Paulo (USP)-
dc.contributor.institutionTech Univ Munich-
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)-
dc.description.affiliationUNESP Univ Estadual Paulista, Dept Bot, Phenol Lab, Inst Biociencias, BR-13506900 Rio Claro, SP, Brazil-
dc.description.affiliationFed Univ Sao 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.affiliationUnespUNESP Univ Estadual Paulista, Dept Bot, Phenol Lab, Inst Biociencias, BR-13506900 Rio Claro, SP, Brazil-
dc.description.sponsorshipIdFAPESP: 10/52113-5-
dc.description.sponsorshipIdFAPESP: 10/51307-0-
dc.description.sponsorshipIdFAPESP: 07/59779-6-
dc.description.sponsorshipIdCAPES: 360/11-
dc.description.sponsorshipIdEuropean Research Council under the European Union282250-
dc.identifier.doi10.1016/j.ecoinf.2013.12.011-
dc.identifier.wosWOS:000332441100008-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofEcological Informatics-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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