GIS-BASED DETECTION AND QUANTIFICATION OF PATCH-BOUNDARY PATTERNS FOR IDENTIFYING LANDSCAPE MOSAICS

The study of boundaries between patches allows us to understand the complexity of landscape interactions, especially those involved in the anthropic use of natural resources, which is a common source of environmental problems when harnessing landscape services. The study of the relationships between...

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Detalhes bibliográficos
Autores: Hardt, E. [UNIFESP], De Pablo, C. L., De Agar, P. M., Dos Santos, R. F., Pereira-Silva, E. F.
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2018
País:Brasil
Recursos:Universidade Federal de São Paulo (UNIFESP)
Repositório:Repositório Institucional da UNIFESP
Idioma:inglês
OAI Identifier:oai:repositorio.unifesp.br:11600/53760
Acesso em linha:http://dx.doi.org/10.15666/aeer/1602_13811398
https://repositorio.unifesp.br/handle/11600/53760
Access Level:Acceso aberto
Palavra-chave:landscape ecology
landscape evaluation
landscape model
land use and cover
spatial analysis
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spelling GIS-BASED DETECTION AND QUANTIFICATION OF PATCH-BOUNDARY PATTERNS FOR IDENTIFYING LANDSCAPE MOSAICSlandscape ecologylandscape evaluationlandscape modelland use and coverspatial analysisThe study of boundaries between patches allows us to understand the complexity of landscape interactions, especially those involved in the anthropic use of natural resources, which is a common source of environmental problems when harnessing landscape services. The study of the relationships between those two elements makes it possible to identify distinct homogeneous environmental areas in which the same ecological interactions occur. These areas are the mosaics that make up a landscape. This paper presents a GIS-based procedure to identify and quantify the boundaries of land use/cover patches and to record those data in matrices of patches by boundaries. These matrices, by means of a multivariate analysis, allow us to recognize landscape mosaics. This semi-automated procedure contributes to making the concept of landscape mosaics operative and enabling its application to landscape management. To exemplify its possibilities, we tested three alternatives for quantifying boundary measures: presence/absence, frequency and length. They each describe interactions with different details and provide different nuances in interpretations of landscape organization. In the study case, the frequency data provided a more easily understandable interpretation of the mosaic identification and characterization of landscape heterogeneity because these data are less conditioned by the spatial distribution, size or length of rare boundaries. Irrespective of the boundary measure used, a large central mosaic is always identified, highlighting the influence of landscape homogeneity and fragmentation on mosaic identification and the robustness of the tested procedure.Univ Fed Sao Paulo, Dept Environm Sci, Rua Sao Nicolau 210, BR-09913030 Diadema, BrazilUniv Estadual Campinas, Lab Environm Planning, Campinas, SP, BrazilUniv Complutense Madrid, Dept Ecol, Madrid, SpainUniv Sao Paulo, Dept Ecol, Sao Paulo, BrazilFed Univ ABC, Ctr Nat & Human Sci, Sao Bernardo Do Campo, BrazilUniv Fed Sao Paulo, Dept Environm Sci, Rua Sao Nicolau 210, BR-09913030 Diadema, BrazilWeb of ScienceFAPESP-BR [06/55385-0, 08/01505-0]CAPES-BRFundacion Carolina-ES [BEX 3967/10-7]Santander/UCM-ES group [grant mobility]Ministry of Science and Innovation-ES [MA-2012]FAPESP: 06/55385-0, 08/01505-0Corvinus Univ Budapest2020-07-02T18:51:54Z2020-07-02T18:51:54Z2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion1381-1398application/pdfhttp://dx.doi.org/10.15666/aeer/1602_13811398Applied Ecology And Environmental Research. Budapest, v. 16, n. 2, p. 1381-1398, 2018.10.15666/aeer/1602_13811398WOS000429542000029.pdf1589-1623https://repositorio.unifesp.br/handle/11600/53760WOS:000429542000029ark:/48912/001300002bqskengApplied Ecology And Environmental ResearchBudapestinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UNIFESPinstname:Universidade Federal de São Paulo (UNIFESP)instacron:UNIFESPHardt, E. [UNIFESP]De Pablo, C. L.De Agar, P. M.Dos Santos, R. F.Pereira-Silva, E. F.2024-08-03T04:31:00Zoai:repositorio.unifesp.br:11600/53760Repositório InstitucionalPUBhttp://www.repositorio.unifesp.br/oai/requestbiblioteca.csp@unifesp.bropendoar:34652024-08-03T04:31Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)false
dc.title.none.fl_str_mv GIS-BASED DETECTION AND QUANTIFICATION OF PATCH-BOUNDARY PATTERNS FOR IDENTIFYING LANDSCAPE MOSAICS
title GIS-BASED DETECTION AND QUANTIFICATION OF PATCH-BOUNDARY PATTERNS FOR IDENTIFYING LANDSCAPE MOSAICS
spellingShingle GIS-BASED DETECTION AND QUANTIFICATION OF PATCH-BOUNDARY PATTERNS FOR IDENTIFYING LANDSCAPE MOSAICS
Hardt, E. [UNIFESP]
landscape ecology
landscape evaluation
landscape model
land use and cover
spatial analysis
title_short GIS-BASED DETECTION AND QUANTIFICATION OF PATCH-BOUNDARY PATTERNS FOR IDENTIFYING LANDSCAPE MOSAICS
title_full GIS-BASED DETECTION AND QUANTIFICATION OF PATCH-BOUNDARY PATTERNS FOR IDENTIFYING LANDSCAPE MOSAICS
title_fullStr GIS-BASED DETECTION AND QUANTIFICATION OF PATCH-BOUNDARY PATTERNS FOR IDENTIFYING LANDSCAPE MOSAICS
title_full_unstemmed GIS-BASED DETECTION AND QUANTIFICATION OF PATCH-BOUNDARY PATTERNS FOR IDENTIFYING LANDSCAPE MOSAICS
title_sort GIS-BASED DETECTION AND QUANTIFICATION OF PATCH-BOUNDARY PATTERNS FOR IDENTIFYING LANDSCAPE MOSAICS
dc.creator.none.fl_str_mv Hardt, E. [UNIFESP]
De Pablo, C. L.
De Agar, P. M.
Dos Santos, R. F.
Pereira-Silva, E. F.
author Hardt, E. [UNIFESP]
author_facet Hardt, E. [UNIFESP]
De Pablo, C. L.
De Agar, P. M.
Dos Santos, R. F.
Pereira-Silva, E. F.
author_role author
author2 De Pablo, C. L.
De Agar, P. M.
Dos Santos, R. F.
Pereira-Silva, E. F.
author2_role author
author
author
author
dc.subject.por.fl_str_mv landscape ecology
landscape evaluation
landscape model
land use and cover
spatial analysis
topic landscape ecology
landscape evaluation
landscape model
land use and cover
spatial analysis
description The study of boundaries between patches allows us to understand the complexity of landscape interactions, especially those involved in the anthropic use of natural resources, which is a common source of environmental problems when harnessing landscape services. The study of the relationships between those two elements makes it possible to identify distinct homogeneous environmental areas in which the same ecological interactions occur. These areas are the mosaics that make up a landscape. This paper presents a GIS-based procedure to identify and quantify the boundaries of land use/cover patches and to record those data in matrices of patches by boundaries. These matrices, by means of a multivariate analysis, allow us to recognize landscape mosaics. This semi-automated procedure contributes to making the concept of landscape mosaics operative and enabling its application to landscape management. To exemplify its possibilities, we tested three alternatives for quantifying boundary measures: presence/absence, frequency and length. They each describe interactions with different details and provide different nuances in interpretations of landscape organization. In the study case, the frequency data provided a more easily understandable interpretation of the mosaic identification and characterization of landscape heterogeneity because these data are less conditioned by the spatial distribution, size or length of rare boundaries. Irrespective of the boundary measure used, a large central mosaic is always identified, highlighting the influence of landscape homogeneity and fragmentation on mosaic identification and the robustness of the tested procedure.
publishDate 2018
dc.date.none.fl_str_mv 2018
2020-07-02T18:51:54Z
2020-07-02T18:51:54Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.15666/aeer/1602_13811398
Applied Ecology And Environmental Research. Budapest, v. 16, n. 2, p. 1381-1398, 2018.
10.15666/aeer/1602_13811398
WOS000429542000029.pdf
1589-1623
https://repositorio.unifesp.br/handle/11600/53760
WOS:000429542000029
dc.identifier.dark.fl_str_mv ark:/48912/001300002bqsk
url http://dx.doi.org/10.15666/aeer/1602_13811398
https://repositorio.unifesp.br/handle/11600/53760
identifier_str_mv Applied Ecology And Environmental Research. Budapest, v. 16, n. 2, p. 1381-1398, 2018.
10.15666/aeer/1602_13811398
WOS000429542000029.pdf
1589-1623
WOS:000429542000029
ark:/48912/001300002bqsk
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Applied Ecology And Environmental Research
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1381-1398
application/pdf
dc.coverage.none.fl_str_mv Budapest
dc.publisher.none.fl_str_mv Corvinus Univ Budapest
publisher.none.fl_str_mv Corvinus Univ Budapest
dc.source.none.fl_str_mv reponame:Repositório Institucional da UNIFESP
instname:Universidade Federal de São Paulo (UNIFESP)
instacron:UNIFESP
instname_str Universidade Federal de São Paulo (UNIFESP)
instacron_str UNIFESP
institution UNIFESP
reponame_str Repositório Institucional da UNIFESP
collection Repositório Institucional da UNIFESP
repository.name.fl_str_mv Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)
repository.mail.fl_str_mv biblioteca.csp@unifesp.br
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score 15,198674