DATA ORDINATION OF MIXED RAIN FOREST STRUCTURE BASED ON INFORMATION OF FLORISTIC-FOREST INVENTORY OF SANTA CATARINA STATE, SOUTHERN BRAZIL: RESULTS OF A PILOT SURVEY.

Detalhes bibliográficos
Autor(a) principal: Vibrans, Alexander Christian
Data de Publicação: 2008
Outros Autores: Uhlmann, Alexandre, Sevegnani, Lucia, Marcolin, Moacir, Nakajima, Nelson, Grippa, Carlos Roberto, Brogni, Eduardo, Godoy, Marcela Braga
Tipo de documento: Artigo
Idioma: por
Título da fonte: Ciência Florestal (Online)
Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/434
Resumo: The forest floristic inventory of Santa Catarina State in Southern Brazil aims at quantifying the forest resources and increasing the knowledge on vascular plant diversity. The study includes sampling of trees, shrubs, herbs and vascular epiphytes. Santa Catarina State’s surface is about 95,443 km², covered by four major vegetation types: Dense Tropical Humid Forests, Mixed Rainy Forests with Araucaria angustifolia, highland grasslands and Seasonal Deciduous Forests. Forest land cover is about 30%, although extremely fragmentized, especially in the western region. This pilot study has been conducted in Mixed Rainy Forest domain during 2005, measuring 74 sample plots (2000 m² each) randomly distributed in this forest type’s area (41,380 km²). Besides the usual analysis of vertical and horizontal vegetation structure, species density data were utilized to construct species/samples matrix that was the basis for Detrended Correspondence Analysis (DCA). The survey results indicate that Myrtaceae, Fabaceae, Lauraceae are the most numerous families, followed by Asteraceae and Solanaceae. The survey registered 133 species with DBH ≥ 10cm, 101 species with DBH <10cm ≥1cm and 105 species with DBH smaller than 1 cm. There is a restricted number of very frequent tree species and a large number (120) of species occurring in less than 10 of the total of 74 sample plots; 46 species are present in only one plot, showing vulnerability of species diversity. According to results of Correspondence Analysis, there are two well distinguished clusters of plots, one of them dominated by typical mixed forest species; the other cluster clearly dominated by supposed to be typical seasonal deciduous forest representants, although located in geographical region until now attributed to mixed forests. The two groups are very dissimilar with respect to their structure and floristics. These results indicate the necessity of new surveys in order to verify the existence of a floristic differentiation along this preliminary established border line. The next steps of Floristic-Forest Inventory could give way to support this hypothesis.
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spelling DATA ORDINATION OF MIXED RAIN FOREST STRUCTURE BASED ON INFORMATION OF FLORISTIC-FOREST INVENTORY OF SANTA CATARINA STATE, SOUTHERN BRAZIL: RESULTS OF A PILOT SURVEY.Ordenação dos dados de estrutura da Floresta Ombrófila Mista partindo de informações do inventário florístico-florestal de Santa Catarina: resultados de estudo-piloto.floristicscorrespondence analysisMixed Rainy Forestforest inventory.florísticaanálise de correspondênciaFloresta Ombrófila Mistainventário florestal.The forest floristic inventory of Santa Catarina State in Southern Brazil aims at quantifying the forest resources and increasing the knowledge on vascular plant diversity. The study includes sampling of trees, shrubs, herbs and vascular epiphytes. Santa Catarina State’s surface is about 95,443 km², covered by four major vegetation types: Dense Tropical Humid Forests, Mixed Rainy Forests with Araucaria angustifolia, highland grasslands and Seasonal Deciduous Forests. Forest land cover is about 30%, although extremely fragmentized, especially in the western region. This pilot study has been conducted in Mixed Rainy Forest domain during 2005, measuring 74 sample plots (2000 m² each) randomly distributed in this forest type’s area (41,380 km²). Besides the usual analysis of vertical and horizontal vegetation structure, species density data were utilized to construct species/samples matrix that was the basis for Detrended Correspondence Analysis (DCA). The survey results indicate that Myrtaceae, Fabaceae, Lauraceae are the most numerous families, followed by Asteraceae and Solanaceae. The survey registered 133 species with DBH ≥ 10cm, 101 species with DBH <10cm ≥1cm and 105 species with DBH smaller than 1 cm. There is a restricted number of very frequent tree species and a large number (120) of species occurring in less than 10 of the total of 74 sample plots; 46 species are present in only one plot, showing vulnerability of species diversity. According to results of Correspondence Analysis, there are two well distinguished clusters of plots, one of them dominated by typical mixed forest species; the other cluster clearly dominated by supposed to be typical seasonal deciduous forest representants, although located in geographical region until now attributed to mixed forests. The two groups are very dissimilar with respect to their structure and floristics. These results indicate the necessity of new surveys in order to verify the existence of a floristic differentiation along this preliminary established border line. The next steps of Floristic-Forest Inventory could give way to support this hypothesis. O Inventário Florístico-Florestal do Estado de Santa Catarina tem por objetivo inventariar e analisar a composição florística e a estrutura horizontal e vertical dos remanescentes florestais do Estado, registrar a diversidade arbórea das florestas e coletar dados sobre as espécies vegetais ameaçadas de extinção. A cobertura florestal de seu território de 95.443 km² é inferior a 30%, porém, extremamente reduzida e fragmentada na sua região oeste do eEstado. Nesse estudo-piloto, foram implantadas 74 unidades amostrais de 2000 m² cada, distribuídas aleatoriamente numa área de 41.380 km² nos domínios da Floresta Ombrófila Mista. Além da análise usual da estrutura horizontal e vertical, os dados de densidade foram utilizados para a construção de uma matriz de densidades (espécie/parcela) que foi submetida à Análise de Correspondência Corrigida (ACC). Os resultados do levantamento indicam Myrtaceae, Lauraceae e Fabaceae como famílias mais abundantes, seguidas de Asteraceae e Solanaceae. O levantamento registrou 133 espécies com          DAP ≥ 10cm, 101 espécies com DAP <10cm ≥1cm e 105 espécies com DAP menor que 1cm. Existe um número restrito de espécies muito freqüentes, enquanto 120 espécies ocorrem em menos de dez das 74 unidades amostrais e 46 espécies são presentes em apenas uma unidade. Os resultados da Análise de Correspondência mostram dois conjuntos de unidades amostrais, um caracterizado por espécies da Floresta Ombrófila Mista, outro com forte influência de espécies da Floresta Estacional Decidual. Este agrupamento se fez presente com nitidez dentro da grande região geográfica originalmente identificada como região da Floresta Ombrófila Mista e dos Campos Naturais. Os dois grupos mostram-se distintos quanto à sua estrutura e flora. Este resultado propõe a necessidade de novos levantamentos para verificar se realmente existe uma diferenciação florística ao longo dessa linha divisória, preliminarmente estabelecida. As próximas fases do Inventário Florestal de Santa Catarina poderão contribuir para verificação dessa hipótese.Universidade Federal de Santa Maria2008-12-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/43410.5902/19805098434Ciência Florestal; Vol. 18 No. 4 (2008); 511-523Ciência Florestal; v. 18 n. 4 (2008); 511-5231980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/434/317Vibrans, Alexander ChristianUhlmann, AlexandreSevegnani, LuciaMarcolin, MoacirNakajima, NelsonGrippa, Carlos RobertoBrogni, EduardoGodoy, Marcela Bragainfo:eu-repo/semantics/openAccess2017-05-09T12:49:32Zoai:ojs.pkp.sfu.ca:article/434Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2017-05-09T12:49:32Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv DATA ORDINATION OF MIXED RAIN FOREST STRUCTURE BASED ON INFORMATION OF FLORISTIC-FOREST INVENTORY OF SANTA CATARINA STATE, SOUTHERN BRAZIL: RESULTS OF A PILOT SURVEY.
Ordenação dos dados de estrutura da Floresta Ombrófila Mista partindo de informações do inventário florístico-florestal de Santa Catarina: resultados de estudo-piloto.
title DATA ORDINATION OF MIXED RAIN FOREST STRUCTURE BASED ON INFORMATION OF FLORISTIC-FOREST INVENTORY OF SANTA CATARINA STATE, SOUTHERN BRAZIL: RESULTS OF A PILOT SURVEY.
spellingShingle DATA ORDINATION OF MIXED RAIN FOREST STRUCTURE BASED ON INFORMATION OF FLORISTIC-FOREST INVENTORY OF SANTA CATARINA STATE, SOUTHERN BRAZIL: RESULTS OF A PILOT SURVEY.
Vibrans, Alexander Christian
floristics
correspondence analysis
Mixed Rainy Forest
forest inventory.
florística
análise de correspondência
Floresta Ombrófila Mista
inventário florestal.
title_short DATA ORDINATION OF MIXED RAIN FOREST STRUCTURE BASED ON INFORMATION OF FLORISTIC-FOREST INVENTORY OF SANTA CATARINA STATE, SOUTHERN BRAZIL: RESULTS OF A PILOT SURVEY.
title_full DATA ORDINATION OF MIXED RAIN FOREST STRUCTURE BASED ON INFORMATION OF FLORISTIC-FOREST INVENTORY OF SANTA CATARINA STATE, SOUTHERN BRAZIL: RESULTS OF A PILOT SURVEY.
title_fullStr DATA ORDINATION OF MIXED RAIN FOREST STRUCTURE BASED ON INFORMATION OF FLORISTIC-FOREST INVENTORY OF SANTA CATARINA STATE, SOUTHERN BRAZIL: RESULTS OF A PILOT SURVEY.
title_full_unstemmed DATA ORDINATION OF MIXED RAIN FOREST STRUCTURE BASED ON INFORMATION OF FLORISTIC-FOREST INVENTORY OF SANTA CATARINA STATE, SOUTHERN BRAZIL: RESULTS OF A PILOT SURVEY.
title_sort DATA ORDINATION OF MIXED RAIN FOREST STRUCTURE BASED ON INFORMATION OF FLORISTIC-FOREST INVENTORY OF SANTA CATARINA STATE, SOUTHERN BRAZIL: RESULTS OF A PILOT SURVEY.
author Vibrans, Alexander Christian
author_facet Vibrans, Alexander Christian
Uhlmann, Alexandre
Sevegnani, Lucia
Marcolin, Moacir
Nakajima, Nelson
Grippa, Carlos Roberto
Brogni, Eduardo
Godoy, Marcela Braga
author_role author
author2 Uhlmann, Alexandre
Sevegnani, Lucia
Marcolin, Moacir
Nakajima, Nelson
Grippa, Carlos Roberto
Brogni, Eduardo
Godoy, Marcela Braga
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Vibrans, Alexander Christian
Uhlmann, Alexandre
Sevegnani, Lucia
Marcolin, Moacir
Nakajima, Nelson
Grippa, Carlos Roberto
Brogni, Eduardo
Godoy, Marcela Braga
dc.subject.por.fl_str_mv floristics
correspondence analysis
Mixed Rainy Forest
forest inventory.
florística
análise de correspondência
Floresta Ombrófila Mista
inventário florestal.
topic floristics
correspondence analysis
Mixed Rainy Forest
forest inventory.
florística
análise de correspondência
Floresta Ombrófila Mista
inventário florestal.
description The forest floristic inventory of Santa Catarina State in Southern Brazil aims at quantifying the forest resources and increasing the knowledge on vascular plant diversity. The study includes sampling of trees, shrubs, herbs and vascular epiphytes. Santa Catarina State’s surface is about 95,443 km², covered by four major vegetation types: Dense Tropical Humid Forests, Mixed Rainy Forests with Araucaria angustifolia, highland grasslands and Seasonal Deciduous Forests. Forest land cover is about 30%, although extremely fragmentized, especially in the western region. This pilot study has been conducted in Mixed Rainy Forest domain during 2005, measuring 74 sample plots (2000 m² each) randomly distributed in this forest type’s area (41,380 km²). Besides the usual analysis of vertical and horizontal vegetation structure, species density data were utilized to construct species/samples matrix that was the basis for Detrended Correspondence Analysis (DCA). The survey results indicate that Myrtaceae, Fabaceae, Lauraceae are the most numerous families, followed by Asteraceae and Solanaceae. The survey registered 133 species with DBH ≥ 10cm, 101 species with DBH <10cm ≥1cm and 105 species with DBH smaller than 1 cm. There is a restricted number of very frequent tree species and a large number (120) of species occurring in less than 10 of the total of 74 sample plots; 46 species are present in only one plot, showing vulnerability of species diversity. According to results of Correspondence Analysis, there are two well distinguished clusters of plots, one of them dominated by typical mixed forest species; the other cluster clearly dominated by supposed to be typical seasonal deciduous forest representants, although located in geographical region until now attributed to mixed forests. The two groups are very dissimilar with respect to their structure and floristics. These results indicate the necessity of new surveys in order to verify the existence of a floristic differentiation along this preliminary established border line. The next steps of Floristic-Forest Inventory could give way to support this hypothesis.
publishDate 2008
dc.date.none.fl_str_mv 2008-12-30
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/434
10.5902/19805098434
url https://periodicos.ufsm.br/cienciaflorestal/article/view/434
identifier_str_mv 10.5902/19805098434
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/434/317
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Florestal; Vol. 18 No. 4 (2008); 511-523
Ciência Florestal; v. 18 n. 4 (2008); 511-523
1980-5098
0103-9954
reponame:Ciência Florestal (Online)
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Florestal (Online)
collection Ciência Florestal (Online)
repository.name.fl_str_mv Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv ||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br
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