Phytogeographic retrospective in ecotonal areas guided by soil attributes
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s13762-014-0684-y http://hdl.handle.net/11449/158453 |
Resumo: | Re-establishing deforested ecosystems to pre-settlement vegetation is difficult, especially in ecotonal areas, due to lack of knowledge about the original physiognomy. Our objective was to use a soils database that included chemical and physical parameters to distinguish soil samples of forest from those of savannah sites in a municipality located in the southeastern Brazil region. Discriminant analysis (DA) was used to determine the original biome vegetation (forest or savannah) in ecotone regions that have been converted to pasture and are degraded. First, soils of pristine forest and savannah sites were tested, resulting in a reference database to compare to the degraded soils. Although the data presented, in general had a high level of similarity among the two biomes, some differences occurred that were sufficient for DA to distinguish the sites and classify the soil samples taken from grassy areas into forest or savannah. The soils from pastured areas presented quality worse than the soils of the pristine areas. Through DA analysis we observed that, from seven soil samples collected from grassy areas, five were most likely originally forest biome and two were savannah, ratified by a complementary cluster analysis carried out with the database of these samples. The model here proposed is pioneer. However, the users should keep in mind that using this technology, i.e., establishing a regional-level database of soil features, using soil samples collected both from pristine and degraded areas is critical for success of the project, especially because of the ecological and regional particularities of each biome. |
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Repositório Institucional da UNESP |
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spelling |
Phytogeographic retrospective in ecotonal areas guided by soil attributesEcotonePristine forest soilSoil databaseVegetation re-establishmentRe-establishing deforested ecosystems to pre-settlement vegetation is difficult, especially in ecotonal areas, due to lack of knowledge about the original physiognomy. Our objective was to use a soils database that included chemical and physical parameters to distinguish soil samples of forest from those of savannah sites in a municipality located in the southeastern Brazil region. Discriminant analysis (DA) was used to determine the original biome vegetation (forest or savannah) in ecotone regions that have been converted to pasture and are degraded. First, soils of pristine forest and savannah sites were tested, resulting in a reference database to compare to the degraded soils. Although the data presented, in general had a high level of similarity among the two biomes, some differences occurred that were sufficient for DA to distinguish the sites and classify the soil samples taken from grassy areas into forest or savannah. The soils from pastured areas presented quality worse than the soils of the pristine areas. Through DA analysis we observed that, from seven soil samples collected from grassy areas, five were most likely originally forest biome and two were savannah, ratified by a complementary cluster analysis carried out with the database of these samples. The model here proposed is pioneer. However, the users should keep in mind that using this technology, i.e., establishing a regional-level database of soil features, using soil samples collected both from pristine and degraded areas is critical for success of the project, especially because of the ecological and regional particularities of each biome.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Sao Paulo State Univ, BR-18087180 Sorocaba, SP, BrazilForestry Sci & Res Inst IPEF, Piracicaba, SP, BrazilFPC, Piracicaba, SP, BrazilPurdue Univ, USDA ARS, Natl Soil Eros Res Lab, W Lafayette, IN 47907 USASao Paulo State Univ, BR-18087180 Sorocaba, SP, BrazilSpringerUniversidade Estadual Paulista (Unesp)Forestry Sci & Res Inst IPEFFPCPurdue UnivMonteiro, T. [UNESP]Alvares, C. A.Stott, D. E.Silva, A. M. da [UNESP]2018-11-26T15:27:44Z2018-11-26T15:27:44Z2015-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article2829-2840application/pdfhttp://dx.doi.org/10.1007/s13762-014-0684-yInternational Journal Of Environmental Science And Technology. New York: Springer, v. 12, n. 9, p. 2829-2840, 2015.1735-1472http://hdl.handle.net/11449/15845310.1007/s13762-014-0684-yWOS:000358964200007WOS000358964200007.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal Of Environmental Science And Technologyinfo:eu-repo/semantics/openAccess2023-12-22T06:20:56Zoai:repositorio.unesp.br:11449/158453Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:59:35.702114Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Phytogeographic retrospective in ecotonal areas guided by soil attributes |
title |
Phytogeographic retrospective in ecotonal areas guided by soil attributes |
spellingShingle |
Phytogeographic retrospective in ecotonal areas guided by soil attributes Monteiro, T. [UNESP] Ecotone Pristine forest soil Soil database Vegetation re-establishment |
title_short |
Phytogeographic retrospective in ecotonal areas guided by soil attributes |
title_full |
Phytogeographic retrospective in ecotonal areas guided by soil attributes |
title_fullStr |
Phytogeographic retrospective in ecotonal areas guided by soil attributes |
title_full_unstemmed |
Phytogeographic retrospective in ecotonal areas guided by soil attributes |
title_sort |
Phytogeographic retrospective in ecotonal areas guided by soil attributes |
author |
Monteiro, T. [UNESP] |
author_facet |
Monteiro, T. [UNESP] Alvares, C. A. Stott, D. E. Silva, A. M. da [UNESP] |
author_role |
author |
author2 |
Alvares, C. A. Stott, D. E. Silva, A. M. da [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Forestry Sci & Res Inst IPEF FPC Purdue Univ |
dc.contributor.author.fl_str_mv |
Monteiro, T. [UNESP] Alvares, C. A. Stott, D. E. Silva, A. M. da [UNESP] |
dc.subject.por.fl_str_mv |
Ecotone Pristine forest soil Soil database Vegetation re-establishment |
topic |
Ecotone Pristine forest soil Soil database Vegetation re-establishment |
description |
Re-establishing deforested ecosystems to pre-settlement vegetation is difficult, especially in ecotonal areas, due to lack of knowledge about the original physiognomy. Our objective was to use a soils database that included chemical and physical parameters to distinguish soil samples of forest from those of savannah sites in a municipality located in the southeastern Brazil region. Discriminant analysis (DA) was used to determine the original biome vegetation (forest or savannah) in ecotone regions that have been converted to pasture and are degraded. First, soils of pristine forest and savannah sites were tested, resulting in a reference database to compare to the degraded soils. Although the data presented, in general had a high level of similarity among the two biomes, some differences occurred that were sufficient for DA to distinguish the sites and classify the soil samples taken from grassy areas into forest or savannah. The soils from pastured areas presented quality worse than the soils of the pristine areas. Through DA analysis we observed that, from seven soil samples collected from grassy areas, five were most likely originally forest biome and two were savannah, ratified by a complementary cluster analysis carried out with the database of these samples. The model here proposed is pioneer. However, the users should keep in mind that using this technology, i.e., establishing a regional-level database of soil features, using soil samples collected both from pristine and degraded areas is critical for success of the project, especially because of the ecological and regional particularities of each biome. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-09-01 2018-11-26T15:27:44Z 2018-11-26T15:27:44Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s13762-014-0684-y International Journal Of Environmental Science And Technology. New York: Springer, v. 12, n. 9, p. 2829-2840, 2015. 1735-1472 http://hdl.handle.net/11449/158453 10.1007/s13762-014-0684-y WOS:000358964200007 WOS000358964200007.pdf |
url |
http://dx.doi.org/10.1007/s13762-014-0684-y http://hdl.handle.net/11449/158453 |
identifier_str_mv |
International Journal Of Environmental Science And Technology. New York: Springer, v. 12, n. 9, p. 2829-2840, 2015. 1735-1472 10.1007/s13762-014-0684-y WOS:000358964200007 WOS000358964200007.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Journal Of Environmental Science And Technology |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
2829-2840 application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129271532617728 |