The extent to which pre-Columbian societies altered Amazonian landscapes is hotly debated. We performed a basin-wide analysis of pre-Columbian impacts on Amazonian forests by overlaying known archaeological sites in Amazonia with the distributions and abundances of 85 woody species domesticated by pre-Columbian peoples. Domesticated species are five times more likely than nondomesticated species to be hyperdominant. Across the basin, the relative abundance and richness of domesticated species increase in forests on and around archaeological sites. In southwestern and eastern Amazonia, distance to archaeological sites strongly influences the relative abundance and richness of domesticated species. Our analyses indicate that modern tree communities in Amazonia are structured to an important extent by a long history of plant domestication by Amazonian peoples

Analyses of forest loss and protected areas suggest that 36 to 57% of Amazonian tree flora may qualify as “globally threatened.”

Species distribution models (SDMs) are widely used in ecology and conservation. Presence-only SDMs such as MaxEnt frequently use natural history collections (NHCs) as occurrence data, given their huge numbers and accessibility. NHCs are often spatially biased which may generate inaccuracies in SDMs. Here, we test how the distribution of NHCs and MaxEnt predictions relates to a spatial abundance model, based on a large plot dataset for Amazonian tree species, using inverse distance weighting (IDW). We also propose a new pipeline to deal with inconsistencies in NHCs and to limit the area of occupancy of the species. We found a significant but weak positive relationship between the distribution of NHCs and IDW for 66% of the species. The relationship between SDMs and IDW was also significant but weakly positive for 95% of the species, and sensitivity for both analyses was high. Furthermore, the pipeline removed half of the NHCs records. Presence-only SDM applications should consider this limitation, especially for large biodiversity assessments projects, when they are automatically generated without subsequent checking. Our pipeline provides a conservative estimate of a species’ area of occupancy, within an area slightly larger than its extent of occurrence, compatible to e.g. IUCN red list assessments.

Tropical forests are known for their high diversity. Yet, forest patches do occur in the tropics where a single tree species is dominant. Such “monodominant” forests are known from all of the main tropical regions. For Amazonia, we sampled the occurrence of monodominance in a massive, basin-wide database of forest-inventory plots from the Amazon Tree Diversity Network (ATDN). Utilizing a simple defining metric of at least half of the trees ≥ 10 cm diameter belonging to one species, we found only a few occurrences of monodominance in Amazonia, and the phenomenon was not significantly linked to previously hypothesized life history traits such wood density, seed mass, ectomycorrhizal associations, or Rhizobium nodulation. In our analysis, coppicing (the formation of sprouts at the base of the tree or on roots) was the only trait significantly linked to monodominance. While at specific locales coppicing or ectomycorrhizal associations may confer a considerable advantage to a tree species and lead to its monodominance, very few species have these traits. Mining of the ATDN dataset suggests that monodominance is quite rare in Amazonia, and may be linked primarily to edaphic factors.

Amazonian forests are extraordinarily diverse, but the estimated species richness is very much debated. Here, we apply an ensemble of parametric estimators and a novel technique that includes conspecific spatial aggregation to an extended database of forest plots with up-to-date taxonomy. We show that the species abundance distribution of Amazonia is best approximated by a logseries with aggregated individuals, where aggregation increases with rarity. By averaging several methods to estimate total richness, we confirm that over 15,000 tree species are expected to occur in Amazonia. We also show that using ten times the number of plots would result in an increase to just ~50% of those 15,000 estimated species. To get a more complete sample of all tree species, rigorous field campaigns may be needed but the number of trees in Amazonia will remain an estimate for years to come.

Resumo -O presente trabalho teve por objetivo principal caracterizar a vegetação da área de exploração de petróleo da PETROBRAS, no rio Urucu, bem como dar subsídios para a utilização da floresta de forma organizada e produtiva, baseada em conhecimentos científicos, de modo não somente a produzir resultados econômicos mas principalmente conservar o ambiente. Os três hectares de floresta inventariada sustentam 2.241 indivíduos, abrangendo árvores, palmeiras e cipós com DAP> 10 cm, distribuídos em 577 espécies, 225 gêneros e 60 famílias. Três medidas de importância ecológica -abundância, dominância e freqüência -expressas como três porcentagens, foram somadas para obter um índice de Valor de Importância (IVI). As duas espécies com os maiores IV1E, em toda a área pesquisada, foram Eschweilera coriacea (DC.) S. A. Mori, com 15% no hectare 2 e E. wachenheimii (Benoist) Sandwith, com 14% no hectare 3. As famílias que obtiveram os maiores índices de Valor de Importância (IVIF), em média, nos 3 hectares, foram Lecythidaceae (51,6%), Sapotaceae (40,2%) e Chrysobalanaceae (24,6%). Abstract -The aim of this paper is to characterize forest vegetation in the Urucu River region, a petroleum drilling area of PETROBRAS. This information may contribute to the organized and productive use of the forest, based on scientific knowledge, so that economic returns can be obtained while conserving the environment. All tree, vine and palm stems over 10 cm DBH were inventoried in three hectares. A total of 2241 individuals were found in 60 families, 225 genera and 577 species or morphospecies. Three measures of ecological importance -abundance, domi nance and frequency -expressed as three separate percentages were summed to give an Impor tance Value Index (IVIE). The two highest IVI were for Eschweilera coracea (DC.) S. A. Mori, with 15% in hectare 2, and E. wachenheimii (Benoist) Sandwith, with 14% in hectare 3. The highest Family Importance Indices averaged across the three hectares were for Lecythidaceae (51.62%), Sapotaceae (40.24%) and Chrysobalanacaeae (24.56%). Palavras-chaves:

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Aim  The aim of this study was to use compositional changes in tree species along the Amazon River floodplain in Brazil to identify and characterize biogeographic regions that would serve as broad surrogates for conservation planning.Location  The main course of the Amazon River in Brazil, covering a river distance of approximately 2800 km.Methods  Two sampling methods were employed at specific sites: standardized transects and/or individual‐based samples. Seventy‐three samples were collected from 26 sites at approximately 100‐km intervals along the floodplain. Biogeographic regions were identified by non‐metric multidimensional scaling (NMDS) ordination and by a hierarchical cluster analysis. The relative influence of environmental components (flood depths, annual rainfall, and length of the dry season) on tree species composition and one spatial component (longitude) were analysed by multiple regressions against a one‐dimensional NMDS ordination axis.Results  Based on tree species composition, three main biogeographic regions were identified: a western region between Tabatinga and the Negro River confluence; a central region from the Negro River confluence to the Xingu confluence; and an estuarine region from the Xingu confluence to Santana. The regions identified were consistent using different data sets and analytical techniques. Mixed environmental and spatial effects explained most of the variation, but the spatial effect alone had a greater influence on species composition than environmental effects alone.Main conclusions  The regions delimited in the analyses differed from those based on geomorphology or World Wildlife Fund (WWF) ecoregions. These results reinforce the need for surrogates to be tested against biological data before they are used to shape approaches to conservation planning. Although a protected area coverage of 25% gives the impression of extensive conservation management on the floodplain, less than 1% of the Amazon’s floodplain in Brazil is strictly protected. The significant compositional differences between regions and the strong spatial variation along the Amazon indicate that strict protection areas should be distributed much more evenly within and between regions.