Using near-infrared spectroscopy to discriminate closely related species: a case study of neotropical ferns.

Identifying plant species requires considerable knowledge and can be difficult without complete specimens. Fourier-transform near-infrared spectroscopy (FT-NIR) is an effective technique for discriminating plant species, especially angiosperms. However, its efficacy has never been tested on ferns. Here we tested the accuracy of FT-NIR at discriminating species of the genus Microgramma. We obtained 16 spectral readings per individual from the adaxial and abaxial surfaces of 100 specimens belonging to 13 species. The analyses included all 1557 spectral variables. We tested different datasets (adaxial + abaxial, adaxial, and abaxial) to compare the correct identification of species through the construction of discriminant models (Linear discriminant analysis and partial least squares discriminant analysis) and cross-validation techniques (leave-one-out, K-fold). All analyses recovered an overall high percentage (> 90%) of correct predictions of specimen identifications for all datasets, regardless of the model or cross-validation used. On average, there was > 95% accuracy when using partial least squares discriminant analysis and both cross-validations. Our results show the high predictive power of FT-NIR at correctly discriminating fern species when using leaves of dried herbarium specimens. The technique is sensitive enough to reflect species delimitation problems and possible hybridization, and it has the potential of helping better delimit and identify fern species.

Dataset on wood density of trees in ecotone forests in Northern Brazilian Amazonia.

Wood density is expressed by the ratio between dry weight and fresh volume of a sample piece. The value of this measure is an important variable for assessing wood functional properties, successional stages and biomass/carbon stock estimates in different terrestrial ecosystems. Wood density data were collected for tree species from ecotone forests of the northern Brazilian Amazonia. We sampled 680 individuals with stem diameter ≥10 cm. For each sampled individual measurements were taken for three stem variables: bark thickness (mm), bark density (g cm-3) and wood density (g cm-3). This dataset is intended to improve biomass and carbon estimates of forests in the northern ecotone region of Brazilian Amazonia, an area poorly known in terms of ecosystem dynamics.

Structure and tree species composition in different habitats of savanna used by indigenous people in the Northern Brazilian Amazon.

BACKGROUND: Woody plant diversity from the Amazonian savannas has been poorly quantified. In order to improve the knowledge on wood plants of these regional ecosystems, a tree inventory was carried out in four different habitats used by indigenous people living in the savanna areas of the Northern Brazilian Amazon. The habitats were divided into two types (or groups) of vegetation formations: forest (riparian forest, forest island, and buritizal = Mauritia palm formation) and non-forest (typical savanna). The inventory was carried out in two hectares established in the Darora Indigenous Community region, north of the state of Roraima. NEW INFORMATION: The typical savanna is the most densely populated area (709 stems ha-1); however, it has the lowest tree species richness (nine species, seven families) in relation to typical forest habitats: riparian forest (22 species, 13 families and 202 stems ha-1), forest islands (13 species, 10 families and 264 stems ha-1), and buritizal (19 species, 15 families and 600 stems ha-1). The tree structure (density and dominance) of the forest habitats located in the savanna areas studied in this work is smaller in relation to forest habitats derived from continuous areas of other parts of the Amazon. These environments are derived from Paleoclimatic fragmentation, and are currently affected by the impact of intensive use of natural resources as timberselective logging and some land conversion for agriculture.

Angiospermas em remanescentes de floresta montana no sul da Bahia, Brasil / Angiosperms of Montane Forest areas in southern Bahia, Brazil

Foi realizado um levantamento florístico de três remanescentes de floresta montana localizados na Mata Atlântica do sul da Bahia. Durante os anos de 2004 a 2008 foram feitas coletas periódicas de material botânico, principalmente ao longo de trilhas no interior dos fragmentos das áreas: Reserva Serra da Pedra Lascada - SPL, Reserva Serra das Lontras - SLO e Reserva Particular do Patrimônio Natural Serra Bonita - SBO. A riqueza florística em cada área foi comparada entre si e com outras áreas de Mata Atlântica na Bahia e no Sudeste do Brasil. Foi registrado um total de 1.129 espécies em 467 gêneros e 124 famílias. O hábito arbóreo representou 46,9 por cento das espécies, seguido de herbáceas (20,1 por cento), epífitas (19,5 por cento) e trepadeiras (13,5 por cento). As famílias Araceae, Asteraceae, Bromeliaceae, Fabaceae, Lauraceae, Melastomataceae, Myrtaceae, Orchidaceae, Piperaceae, Poaceae, Rubiaceae e Solanaceae apresentaram a maior riqueza florística nas três áreas em conjunto. O gênero Psychotria (Rubiaceae) apresentou o maior número de espécies em todas as áreas (21 spp.), destacando-se também Miconia (20 spp.), Solanum (20 spp.), Piper (19 spp.), Ocotea (16 spp.), Leandra (16 spp.), Peperomia (15 spp.) e Myrcia (14 spp.). Os resultados confirmam a elevada riqueza de angiospermas no sul da Bahia e evidenciam, pela primeira vez, a ocorrência de espécies características de regiões montanhosas da Mata Atlântica do Sudeste do Brasil nessa região.

A floristic study of three areas of montane Atlantic forest in southern Bahia, Brazil, was carried out. From 2004 to 2008 regular botanical collections were made, principally along trails in the interior of the forest fragments at: the Reserva Serra da Pedra Lascada (SPL), the Reserva Serra das Lontras (SLO) and the Reserva Particular do Patrimônio Natural Serra Bonita (SBO). The species richness of each area was compared to that of the other two, and together to other areas of Atlantic coastal forest in Bahia and southeastern Brazil. For all three areas, a total of 1129 species in 467 genera and 124 families were found. Trees represented 46.9 percent of the species, followed by herbs (20.1 percent), epiphytes (19.5 percent), and vines and lianas (13.5 percent). The families Araceae, Asteraceae, Bromeliaceae, Fabaceae, Lauraceae, Melastomataceae, Myrtaceae, Orchidaceae, Piperaceae, Poaceae, Rubiaceae, and Solanaceae showed the highest species richness for the three areas together. The genus Psychotria (Rubiaceae) had the highest number of species for all three areas (21 spp.), followed by Miconia (20 spp.), Solanum (20 spp.), Piper (19 spp.), Ocotea (16 spp.), Leandra (16 spp.), Peperomia (15 spp.), and Myrcia (14 spp.). The results confirm the high species diversity of angiosperms in southern Bahia and demonstrate for the first time the presence of species characteristic of montane regions of southeastern Brazil in this region.