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Improving collection efforts to avoid loss of biodiversity: lessons from comprehensive sampling of lycophytes and ferns in the subtropical Atlantic Forest Acta Botanica
Gasper,André Luís de; Eisenlohr,Pedro V.; Salino,Alexandre.
ABSTRACT Estimating species richness with herbarium data and new collections allows us to understand the distribution of diversity. We investigated the accuracy of lycophyte and fern sampling along a vegetation gradient in the subtropical Atlantic Forest in southern Brazil. We compiled lycophyte and fern collection metadata and estimated species richness and assessed sampling accuracy for sixty 50 x 50 km units using ACE, Chao 1, Chao 2, Jackknife 1 and Jackknife 2 estimators. We compiled data for 12,779 fern specimens of 441 species, 67 of which were sampled in only one unit (singletons) and 35 in two units (duplicates). Of the 60 units examined, only 11 had observed values that were above 70% of their estimated values, and 14 had observed levels between...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Botanical collections; Estimators; Hotspot; Pteridophyte; Southern Brazil; Species richness estimates.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062016000200166
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Emerging hotspots of tree richness in Brazil Acta Botanica
Castuera-Oliveira,Luciene; Oliveira-Filho,Ary Teixeira de; Eisenlohr,Pedro V..
ABSTRACT We present a summary of floristic variation and distribution of richness of tree and tree-like taxa (i.e., freestanding plants that reach at least 3m in height) in Brazil. We investigated composition patterns throughout phytogeographic domains and vegetation types based on 698,490 occurrence records obtained from the NeoTropTree (NTT) database, and used rarefaction and extrapolation methods to compare species richness. We delimited areas of high taxa richness in Brazil by applying the Geographic Interpolation of Endemism method. There are 9,108 tree species catalogued in NTT for Brazil, but our extrapolations indicate that the total could reach 9,525 species. Predominantly forested domains showed the greatest richness of taxa with the Amazon...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Floristic composition; Geographic Interpolation of Endemism; NeoTropTree; Phytogeographic domains; Species distribution.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062020000100117
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More than environmental control at local scales: do spatial processes play an important role in floristic variation in subtropical forests? Acta Botanica
Maçaneiro,João Paulo de; Oliveira,Laio Zimermann; Seubert,Rafaela Cristina; Eisenlohr,Pedro V.; Schorn,Lauri Amândio.
ABSTRACT The effect of environmental variables on the plant species distribution in the Atlantic Forest raises the interest of researchers, but few studies, mainly at local scales, analyzed the influence of spatial factors on the environment and species distribution. Linear models and spatial correlograms were used to evaluate whether environment and space may predict variations in species composition of trees and shrubs in a Subtropical Rainforest remnant. The study area was divided in 25 plots of 400 m², systematically distributed, where individuals with DBH ≥ 5 cm were measured. Elevation and slope were the most important predictors of the floristic variations, but space, generally neglected in researches on South American's vegetation, had a relevant...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Atlantic Forest; Environmental gradient; Linear models; Species distribution; Variance partitioning.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062016000200183
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Toward a better understanding of the subtropical Atlantic Forest in the state of Santa Catarina, Brazil: tree sampling accuracy, species richness and frequency of rare species Acta Botanica
Rezende,Vanessa Leite; Eisenlohr,Pedro V.; Gasper,André Luís de; Vibrans,Alexander Christian; Oliveira-Filho,Ary Teixeira de.
Accurate knowledge of floristic composition is crucial when planning and designing research projects and public policies. In this study, our goal was to assess tree sampling accuracy and to identify sites with higher concentrations of rare tree species, as well as those with the highest tree species richness, in the state of Santa Catarina, Brazil. We determined sampling accuracy using the first-order jackknife and Chao 2 estimators, calculated the number of rare species (singletons and doubletons) and applied sampled-based rarefaction. We found that sample accuracy (estimated vs. observed values) was over 90% for the state as a whole, the best estimates having been obtained for the areas of rain forest (first-order jackknife: 91%; Chao 2: 95%). Of the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Chao 2; Rainforest; First-order jackknife; Rare species; Semideciduous forest.
Ano: 2014 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062014000300011
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Drivers of floristic variation in biogeographic transitions: insights from the ecotone between the largest biogeographic domains of South America Acta Botanica
Souza,Loana Araújo Silva; Eisenlohr,Pedro V..
ABSTRACT Ecological transitions usually represent vulnerable ecosystems and high biodiversity. Investigating their drivers is important from both biogeographic and conservationist perspectives. One of these transitions is situated between the two largest biogeographic domains of South America - the Amazon and the Cerrado. We evaluated variation in tree floristic composition throughout this transition and assessed which factors explain this variation. We used 17,240 records of occurrences of 2,530 tree species from the NeotropTree database. We investigated variation in floristic composition using UPGMA cluster analysis with bootstrap resampling and NMDS ordination, and modeled the distribution of species in relation to environmental and spatial predictors...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Biogeographical patterns; Ecological transitions; Ecotone; Floristic variation; Tb-RDA; Variance partitioning; Vegetation types.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-33062020000100155
Registros recuperados: 5
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