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...
| Autores: | , , , , |
|---|---|
| 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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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 |
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info:eu-repo/semantics/publishedVersion |
| format |
article |
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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 |
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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 |
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Universidade Federal de São Paulo (UNIFESP) |
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UNIFESP |
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UNIFESP |
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Repositório Institucional da UNIFESP |
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Repositório Institucional da UNIFESP |
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Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP) |
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biblioteca.csp@unifesp.br |
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15,198674 |