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.
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | , , , , , , |
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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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 |
_version_ |
1799944125383966720 |