Modeling Plant Phenology Database: Blending Near-surface Remote Phenology With On-the-ground Observations

dc.creatorMariano
dc.creatorGC; Morellato
dc.creatorLPC; Almeida
dc.creatorJ; Alberton
dc.creatorB; de Camargo
dc.creatorMGG; Torres
dc.creatorRD
dc.date2016
dc.date2016-12-06T18:30:41Z
dc.date2016-12-06T18:30:41Z
dc.date.accessioned2018-03-29T02:03:16Z
dc.date.available2018-03-29T02:03:16Z
dc.identifier1872-6992
dc.identifierEcological Engineering. ELSEVIER SCIENCE BV, n. 91, p. 396 - 408.
dc.identifier0925-8574
dc.identifierWOS:000374766500048
dc.identifier10.1016/j.ecoleng.2016.03.001
dc.identifierhttp://www-sciencedirect-com.ez88.periodicos.capes.gov.br/science/article/pii/S0925857416301501
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/320096
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1310862
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionPhenology research handles multifaceted information that needs to be organized and made promptly accessed by scientific community. We propose the conceptual design and implementation of a database to store, manage, and manipulate phenological time series and associated ecological information and environmental data. The database was developed in the context of the e-phenology project and integrates ground-based conventional plant phenology direct observations with near-surface remote phenology using repeated images from digital cameras. It also includes site-base information, sensor derived data from the study site weather station and plant ecological traits (e.g., pollination and dispersal syndrome, flower and fruit color, and leaf exchange strategy) at individual and species level. We validated the database design through the implementation of a Web application that generates the time series based on queries, exemplified in two case studies investigating: the relationship between flowering phenology and local weather; and the consistency between leafing patterns derived from ground-based phenology on leaf flush and from vegetation image indices (%Green). The database will store all the information produced in the e-phenology project, monitoring of 12 sites from cerrado savanna to rainforest, and will aggregate the legacy information of other studies developed in the Phenology Laboratory (UNESP, Rio Claro, Brazil) over the last 20 years. We demonstrate that our database is a powerful tool that can be widely used to manage complex temporal datasets, integrating legacy and live phenological information from diverse sources (e.g., conventional, digital cameras, seed traps) and temporal scales, improving our capability of producing scientific and applied information on tropical phenology. (C) 2016 Elsevier B.V. All rights reserved.
dc.description91
dc.description
dc.description396
dc.description408
dc.descriptionSao Paulo Research Foundation (FAPESP)
dc.descriptionFAPESP-Microsoft Research Virtual Institute [2010/52113-5, 2011/51523-8, 2013/50155-0]
dc.descriptionCNPq [306243/2010-5, 306587/2009-2]
dc.descriptionFAPESP [2011/51523-8, 2014/00215-0, 2007/52015-0, 2007/59779-6, 2009/18438-7, 2010/51307-0]
dc.descriptionCNPq
dc.descriptionCAPES
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description
dc.description
dc.description
dc.languageEnglish
dc.publisherELSEVIER SCIENCE BV
dc.publisherAMSTERDAM
dc.relationEcological Engineering
dc.rightsfechado
dc.sourceWOS
dc.subjectDatabase Design
dc.subjectLeafing
dc.subjectModeling
dc.subjectDigital Images
dc.subjectRemote Phenology
dc.subjectImage-based Phenological Indices
dc.titleModeling Plant Phenology Database: Blending Near-surface Remote Phenology With On-the-ground Observations
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución