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Artigo
Patterns of floristic diversity and composition in floodplain forests across four Southern Amazon river tributaries, Brazil
Floodplain forests cover extensive areas of the Amazon basin, but the number of tree inventories is low. Vast floodplain regions therefore remain floristically unknown. We present a quantitative inventory of floodplain forests from four Amazon river basins (Jutaí, Juruá, Tefé and Purus), investigate...
Autor principal: | Assis, Rafael Leandro de |
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Outros Autores: | Wittmann, Florian Karl, Luize, Bruno Garcia, Haugaasen, Torbjørn |
Grau: | Artigo |
Idioma: | English |
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Flora: Morphology, Distribution, Functional Ecology of Plants
2020
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https://repositorio.inpa.gov.br/handle/1/17135 |
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oai:repositorio:1-17135 Patterns of floristic diversity and composition in floodplain forests across four Southern Amazon river tributaries, Brazil Assis, Rafael Leandro de Wittmann, Florian Karl Luize, Bruno Garcia Haugaasen, Torbjørn Dominance Floodplain Forest Floristics Spatial Distribution Species Diversity Species Inventory Species Richness Woody Plant Amazon River Amazonia Brasil Floodplain forests cover extensive areas of the Amazon basin, but the number of tree inventories is low. Vast floodplain regions therefore remain floristically unknown. We present a quantitative inventory of floodplain forests from four Amazon river basins (Jutaí, Juruá, Tefé and Purus), investigate within- and between-basin floristic similarity, and examine patterns of tree species dominance and distribution. Twelve hectares with all trees ≥10 cm dbh were inventoried; three hectares in each river basin. Rarefaction curves were used to compare species richness across study areas. GNMDS was used to investigate within- and between-basin floristic similarity, combined with an analysis of similarity (ANOSIM) to test for significant differences. In total, 7722 stems representing 518 species were recorded. Inventory plots from the same river basin were clearly clustered in the GNMDS ordination and the ANOSIM showed that floristic composition differed significantly both between and within study areas. Fabaceae was the most abundant family and Eschweilera albiflora the most abundant species. Only nine species were highly abundant in more than one study area, whereas 220 species were recorded in only one sample plot. Our results demonstrate high levels of beta-diversity in Amazonian floodplain forests. The high number of uncommon species is consistent with other studies. © 2017 Elsevier GmbH 2020-06-15T21:39:14Z 2020-06-15T21:39:14Z 2017 Artigo https://repositorio.inpa.gov.br/handle/1/17135 10.1016/j.flora.2017.02.019 en Volume 229, Pags. 124-140 Restrito Flora: Morphology, Distribution, Functional Ecology of Plants |
institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
collection |
INPA-RI |
language |
English |
topic |
Dominance Floodplain Forest Floristics Spatial Distribution Species Diversity Species Inventory Species Richness Woody Plant Amazon River Amazonia Brasil |
spellingShingle |
Dominance Floodplain Forest Floristics Spatial Distribution Species Diversity Species Inventory Species Richness Woody Plant Amazon River Amazonia Brasil Assis, Rafael Leandro de Patterns of floristic diversity and composition in floodplain forests across four Southern Amazon river tributaries, Brazil |
topic_facet |
Dominance Floodplain Forest Floristics Spatial Distribution Species Diversity Species Inventory Species Richness Woody Plant Amazon River Amazonia Brasil |
description |
Floodplain forests cover extensive areas of the Amazon basin, but the number of tree inventories is low. Vast floodplain regions therefore remain floristically unknown. We present a quantitative inventory of floodplain forests from four Amazon river basins (Jutaí, Juruá, Tefé and Purus), investigate within- and between-basin floristic similarity, and examine patterns of tree species dominance and distribution. Twelve hectares with all trees ≥10 cm dbh were inventoried; three hectares in each river basin. Rarefaction curves were used to compare species richness across study areas. GNMDS was used to investigate within- and between-basin floristic similarity, combined with an analysis of similarity (ANOSIM) to test for significant differences. In total, 7722 stems representing 518 species were recorded. Inventory plots from the same river basin were clearly clustered in the GNMDS ordination and the ANOSIM showed that floristic composition differed significantly both between and within study areas. Fabaceae was the most abundant family and Eschweilera albiflora the most abundant species. Only nine species were highly abundant in more than one study area, whereas 220 species were recorded in only one sample plot. Our results demonstrate high levels of beta-diversity in Amazonian floodplain forests. The high number of uncommon species is consistent with other studies. © 2017 Elsevier GmbH |
format |
Artigo |
author |
Assis, Rafael Leandro de |
author2 |
Wittmann, Florian Karl Luize, Bruno Garcia Haugaasen, Torbjørn |
author2Str |
Wittmann, Florian Karl Luize, Bruno Garcia Haugaasen, Torbjørn |
title |
Patterns of floristic diversity and composition in floodplain forests across four Southern Amazon river tributaries, Brazil |
title_short |
Patterns of floristic diversity and composition in floodplain forests across four Southern Amazon river tributaries, Brazil |
title_full |
Patterns of floristic diversity and composition in floodplain forests across four Southern Amazon river tributaries, Brazil |
title_fullStr |
Patterns of floristic diversity and composition in floodplain forests across four Southern Amazon river tributaries, Brazil |
title_full_unstemmed |
Patterns of floristic diversity and composition in floodplain forests across four Southern Amazon river tributaries, Brazil |
title_sort |
patterns of floristic diversity and composition in floodplain forests across four southern amazon river tributaries, brazil |
publisher |
Flora: Morphology, Distribution, Functional Ecology of Plants |
publishDate |
2020 |
url |
https://repositorio.inpa.gov.br/handle/1/17135 |
_version_ |
1787144342325952512 |
score |
11.653393 |