Identifying change trajectories and evolutive phases on coastal landscapes. Case study: Sao Sebastiao Island, Brazil

dc.creatorBertolo, LS
dc.creatorLima, GTNP
dc.creatorSantos, RF
dc.date2012
dc.dateMAY 15
dc.date2014-07-30T18:00:23Z
dc.date2015-11-26T17:46:19Z
dc.date2014-07-30T18:00:23Z
dc.date2015-11-26T17:46:19Z
dc.date.accessioned2018-03-29T00:28:49Z
dc.date.available2018-03-29T00:28:49Z
dc.identifierLandscape And Urban Planning. Elsevier Science Bv, v. 106, n. 1, n. 115, n. 123, 2012.
dc.identifier0169-2046
dc.identifierWOS:000304075200012
dc.identifier10.1016/j.landurbplan.2012.02.009
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/69192
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/69192
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1288452
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionEnvironmental planning decisions depend on an understanding of how the preservation or degradation process has progressed through time, and consequently, on how to define strategies that will be conducive to environmental conservation. The landscape ecology literature has been addressing methodological deficiencies regarding landscape evaluation and interpretation, mainly with respect to express heterogeneity, where it is difficult to recognize the matrix through landscape configuration. We argue that a better representation of the spatio-temporal landscape occurs integrating driving forces that are capable of initiating and perpetuating changes in the landscape, modeling the complex geometric pattern inherent in landscape structure, and defining the change vectors in a continuum of scales. The aim of this study is to develop a methodology that allows the identification of structure patterns resulting from the relation among driving forces, change vectors and evolutive phases in a coastal landscape. This paper, then, considers four factors: driving forces identified through the construction of a historical survey; land use and cover maps (LUCC) at broad scale, cross tabulation, flux diagram, and dominance index; the landscape evolution phases identified using LUCC and driving forces; and landscape cracking and change-vectors defined at fine scale using conservation and degradation indexes. This strategy reveals the existence of specific geometric patterns and change vectors for each evolution phase of the landscape. It also allows the identification of sites where management actions should be directed toward helping decision makers. (C) 2012 Elsevier B.V. All rights reserved.
dc.description106
dc.description1
dc.description115
dc.description123
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.languageen
dc.publisherElsevier Science Bv
dc.publisherAmsterdam
dc.publisherHolanda
dc.relationLandscape And Urban Planning
dc.relationLandsc. Urban Plan.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectLandscape change
dc.subjectDriving forces
dc.subjectChange indexes
dc.subjectCoastal landscape
dc.subjectLand-use Change
dc.subjectDriving Forces
dc.subjectCover Change
dc.subjectGis
dc.subjectBiodiversity
dc.subjectForests
dc.subjectRegion
dc.subjectChina
dc.titleIdentifying change trajectories and evolutive phases on coastal landscapes. Case study: Sao Sebastiao Island, Brazil
dc.typeArtículos de revistas


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