Uses of GBIF in scientific research

Peer-reviewed research citing GBIF as a data source, with at least one author from Brazil.
Extracted from the Mendeley GBIF Public Library.

List of publications

  • Collevatti, R., Lima-Ribeiro, M., Diniz-Filho, J., Oliveira, G., Dobrovolski, R., Terribile, L.

    Stability of Brazilian Seasonally Dry Forests under Climate Change: Inferences for Long-Term Conservation

    (Journal name unavailable from Mendeley API. To be updated soon...)

    Keywords: cerrado biome, ecological niche modelling, global climate change, quaternary climate change


  • D'Apolito, C., Absy, M., Latrubesse, E.

    The Hill of Six Lakes revisited: new data and re-evaluation of a key Pleistocene Amazon site

    Quaternary Science Reviews 76 140-155.

    The new analyses of a sedimentary record of Lake Pata in the Hill of Six Lakes, in NW Amazon and its correlation with other Quaternary proxy records in the region provide new insights regarding the vegetation and climate of the lowland forest during the Last Glacial. Despite what has been reported previously in the literature, the sedimentary and pollen records are not continuous. The hill remained forested; however, clear signals of structural change are seen in the record, which indicate that the area experienced a significantly drier climate during the Last Glacial Maximum (LGM). The herbs and taxa that are known to be more dominant in seasonally dry forests were all more abundant during the glacial part of the record, and the cool-adapted elements were mixed with warm lowland elements, which indicates a temperature depression. A comparison of the palaeoecological data with other regional geoenvironmental records of the Upper Negro River basin and other areas of the Amazon provides additional support for a cooler and more seasonal environment during the middle Pleniglacial, which then became drier during the LGM. A “wet” LGM is strongly refuted; therefore, the palaeoclimatic and ecological models that used the previous proxy data from Six Lakes to sustain “wet” conditions and a “continuous forest record” during the LGM to reconstruct the palaeoenvironmental conditions in the Amazon should be reviewed.

    Keywords: cerrado biome, ecological niche modelling, global climate change, quaternary climate change


  • Giannini, T., Pinto, C., Acosta, A., Taniguchi, M., Saraiva, A., Alves-dos-Santos, I.

    Interactions at large spatial scale: The case of Centris bees and floral oil producing plants in South America

    (Journal name unavailable from Mendeley API. To be updated soon...)

    Keywords: Climate similarity, Distributional range, Elaiophore, Pollinator–plant interaction


  • Martins, S., Milne, J., Thomaz, S., McWaters, S., Mormul, R., Kennedy, M., Murphy, K.

    Human and natural drivers of changing macrophyte community dynamics over 12 years in a Neotropical riverine floodplain system

    Aquatic Conservation: Marine and Freshwater Ecosystems(April).

    The Rio Paraná is the world's tenth largest river (discharge in the upper river, studied here, during major flood events exceeds 12 700 m3 s-1). Together with its associated floodplain water bodies, this Neotropical river system supports a freshwater biodiversity of worldwide conservation significance, but one increasingly affected by human pressures, particularly the effects of river impoundment. Multivariate analysis of data from repeated (2000–2002 and 2011) macrophyte–environment surveys of a set of stations within a 230 km stretch of functioning riverine floodplain, downstream of the most recently completed dam on the Upper Paraná, the Porto Primavera Dam, together with published data (from 1999 and 2005–2007), was used to test the hypothesis that human influences might outweigh the importance of natural factors in driving the aquatic vegetation dynamics (macrophyte community composition, alpha-diversity, and abundance) of this system during the period 1999–2011. The macrophyte communities present showed differences of species composition and abundance that could be strongly related to the scale and duration of the immediately preceding annual flood pulse, as well as local variations in physico-chemical conditions. For rare Neotropical endemic species, which are a good marker of the conservation status of the system, there was a reasonable degree of stability between the 2000–2002 and 2011 survey periods, with eight of 16 such species being present in both surveys, three present in 2000–2002 only, but an additional five such species found only in 2011. The conclusion is that vegetation changes in the system can be referred both to direct human impacts (river regulation), and to indirect human or natural impacts (floods, alien species invasion by Hydrilla verticillata, and local environmental factors). Overall there was evidence that major floods associated with El Niño - Southern Oscillation (ENSO) climatic events had a much greater impact than other drivers, whether natural or anthropogenic.

    Keywords: ac, animal health and comparative, aquatic plants, correspondence to, e-mail, enso, glasgow, glasgow g12 8qq, graham kerr building, institute of biodiversity, k, kevin, medicine, murphy, rivers, scotland, south america, uk, university of glasgow


  • Moscoso, V., Albernaz, A., Salomão, R.

    Niche modelling for twelve plant species (six timber species and six palm trees) in the Amazon region, using collection and field survey data

    (Journal name unavailable from Mendeley API. To be updated soon...)

    Knowledge of the distribution of plant species is essential for planning management and conservation actions, especially for economically important species. Available data on plant species in the Amazon usually do not represent their whole area of occurrence. The most widely used approach to infer predictions on species occurrence is niche modelling, which consists of correlating records of species with environmental conditions in their occurrence areas, generating maps with the potential distribution based on a combination of environmental features suitable for each species. The main objective of this study was to evaluate the ability of modelling to improve knowledge on the distribution of six timber species and six palm trees in the Amazon, and whether these models can benefit from using data from field surveys added to those of biological collections. Models were generated using the Maxent algorithm. All models generated showed a low extrinsic omission rate (TOE) and AUC above 0.75. Areas predicted for timber species were more consistent with empirical knowledge than those predicted for palm trees, probably due to the greater amount of occurrence sites available for timber species, especially after adding data from field surveys. The extent of the predicted area and the Jaccard index were used to compare the maps after insertion of field survey data. There was a large difference in extent just for two species, one timber and one palm, and a reduction in the predicted area for one species, Swietenia macrophylla. The application of the Jaccard index resulted in values between 0.41 and 0.65 for timber species, reinforcing that the inclusion of field survey data changed predicted areas. For palms, the similar extent of predicted areas and Jaccard values above 0.80, indicated a subtle difference between maps generated before and after the inclusion of field survey records, probably due to the addition of fewer records. The exception was Astrocaryum murumuru, for which the new records increased the extent of the predicted area. The niche models associated with field studies can contribute enormously to increase knowledge concerning the current distribution of species, but new field surveys should be carefully designed to cover wide and undersampled areas. However, it is necessary to consider that this strategy can only be adopted for species with clearly distinctive features, for which field identifications are reliable.

    Keywords: Amazon, Field surveys, Herbarium, Modelling, Palm, Timber


  • Palaoro, A., Dalosto, M., Costa, G., Santos, S.

    Niche conservatism and the potential for the crayfish Procambarus clarkii to invade South America

    (Journal name unavailable from Mendeley API. To be updated soon...)

    1. Invasive species are one of the most severe threats to biodiversity, and an ability to predict the extent of potential invasions can help conservation strategies. Species distribution models (SDMs) have been widely used to project the potential range of invasive species. These models assume that species retain their niche properties during invasion (niche conservatism), although this assumption is seldom verified. 2. We gathered occurrence records for the crayfish Procambarus clarkii from the U.S.A. and Mexico (native + invasive ranges) and from the Iberian Peninsula (invasive) to test for niche conservatism across continents using niche overlap metrics (Schoener’s D). To test for differences in the climate space occupied by the species on the different continents, we performed two principal component analyses (PCAs) on the environmental data extracted from occurrence records: first, separately for each occurrence data set (i.e. each continent) and secondly, using the pooled data. Subsequently, we projected the model to South America, where this species has the potential to become invasive. 3. Schoener’s D showed high overlap (0.68) between the two regions (the Americas and Iberia), and there was no difference between the regions in both PCAs. The crayfish has conserved its niche across continents, and therefore, our model projection to South America may accurately demonstrate where invasion is most likely to occur. 4. Large parts of South America are apparently suitable, mainly Argentina, Chile, Paraguay, Uruguay and southern Brazil. This result is of great concern since this invasive species can spread quickly in suitable areas. Stronger laws and regulations should be made to protect native biodiversity and agri- cultural land. Our approach could be replicated for the study of invasions by other species where extensive data on the potentially invaded areas are available.

    Keywords: biodiversity conservation, crayfish alien species, invasive species, neotropical conservation, species distribution modelling


  • Barbosa, F., Pillar, V., Palmer, A., Melo, A.

    Predicting the current distribution and potential spread of the exotic grass Eragrostis plana Nees in South America and identifying a bioclimatic niche shift during invasion

    Austral Ecology online no-no.

    Eragrostis plana (Poaceae) is a perennial grass introduced from South Africa to the state of Rio Grande do Sul in southern Brazil. Currently, it is considered an invasive grass in several regions of the world, including South America, where it has caused negative ecological and socio-economic impacts. Ecological niche models, using bioclimatic variables, are often used to predict the potential distribution of invasive species. In this study we prepared two bioclimatic models for E. plana using the Genetic Algorithm for Rule-set Production, the first based on data from its native region (South Africa) and the second on data from both the native and invaded (South America) regions.We then projected each model onto South America to identify regions vulnerable to invasion by the species, and compared our results with available records of the species in South America. Finally, we explored the model’s predictions for the existence of a bioclimatic niche shift during the invasion process of E. plana in South America, using multivariate statistical analysis. The model created with native distribution data was only able to predict (with highly suitable habitat) the region of introduction of E. plana in South America.However, the current distribution, as well as the region of introduction of the species, was reliably predicted by the model created with data from both native and invaded regions. Our multivariate analysis supports a hypothesis of bioclimatic niche shift during the invasion process of E. plana in South America.

    Keywords: bioclimatic variable, ecological niche model, garp, invasive grass, native pasture


  • Bracho-Nunez, A., Knothe,, N., Welter, S., Staudt, M., Costa, W., Liberato, M., Piedade, M., Kesselmeier, J., Knothe, N.

    Leaf level emissions of volatile organic compounds (VOC) from some Amazonian and Mediterranean plants

    (Journal name unavailable from Mendeley API. To be updated soon...)

    As volatile organic compounds (VOCs) significantly affect atmospheric chemistry (oxidative capacity) and physics (secondary organic aerosol formation and effects), emission inventories defining regional and global biogenic VOC emission strengths are important. The 5 aim of this work was to achieve a description of VOC emissions from poorly described tropical vegetation to be compared with the quite well investigated and highly heterogeneous emissions from Mediterranean vegetation. For this task, common plant species of both ecosystems were investigated. Sixteen plant species from the Mediterranean area, which is known for its special diversity in VOC emitting 10 plant species, were chosen. In contrast, little information is currently available regarding emissions of VOCs from tropical tree species at the leaf level. Twelve plant species from different environments of the Amazon basin, i.e. Terra firme, V´arzea and Igap´ o, were screened for emission of VOCs at leaf level with a branch enclosure system. Analysis of the volatile organics was performed online by a proton-transfer-reaction 15 mass spectrometer (PTR-MS) and offline by collection on adsorbent tubes and subsequent gas chromatographic analysis. Isoprene was quantitatively the most dominant compound emitted followed by monoterpenes, methanol and acetone. Most of the Mediterranean species emitted a variety of monoterpenes, whereas only five tropical species were monoterpene emitters exhibiting a quite conservative emission pattern 20 ( -pinene>limonene>sabinene> -pinene). Mediterranean plants showed additional emissions of sesquiterpenes, whereas in the case of plants from the Amazon region no sesquiterpenes were detected probably due to a lack of sensitivity in the measuring systems. On the other hand methanol emissions, an indicator of growth, were common in most of the tropical and Mediterranean species. A few species from both ecosys25 tems showed acetone emissions. The observed heterogeneous emissions including reactive VOC species which are not easily detected by flux measurements, give reason to perform more screening at leaf level and, whenever possible, within the forests under ambient conditions.

    Keywords: bioclimatic variable, ecological niche model, garp, invasive grass, native pasture


  • Collevatti, R., Terribile, L., Lima-Ribeiro, M., Nabout, J., de Oliveira, G., Rangel, T., Rabelo, S., Diniz-Filho, J.

    A coupled phylogeographical and species distribution modelling approach recovers the demographical history of a Neotropical seasonally dry forest tree species.

    Molecular ecology online.

    We investigated here the demographical history of Tabebuia impetiginosa (Bignoniaceae) to understand the dynamics of the disjunct geographical distribution of South American seasonally dry forests (SDFs), based on coupling an ensemble approach encompassing hindcasting species distribution modelling and statistical phylogeographical analysis. We sampled 17 populations (280 individuals) in central Brazil and analysed the polymorphisms at chloroplast (trnS-trnG, psbA-trnH, and ycf6-trnC intergenic spacers) and nuclear (ITS nrDNA) genomes. Phylogenetic analyses based on median-joining network showed no haplotype sharing among population but strong evidence of incomplete lineage sorting. Coalescent analyses showed historical constant populations size, negligible gene flow among populations, and an ancient time to most recent common ancestor dated from ~4.7 ± 1.1 Myr BP. Most divergences dated from the Lower Pleistocene, and no signal of important population size reduction was found in coalescent tree and tests of demographical expansion. Demographical scenarios were built based on past geographical range dynamic models, using two a priori biogeographical hypotheses ('Pleistocene Arc' and 'Amazonian SDF expansion') and on two additional hypotheses suggested by the palaeodistribution modelling built with several algorithms for distribution modelling and palaeoclimatic data. The simulation of these demographical scenarios showed that the pattern of diversity found so far for T. impetiginosa is in consonance with a palaeodistribution expansion during the last glacial maximum (LGM, 21 kyr BP), strongly suggesting that the current disjunct distribution of T. impetiginosa in SDFs may represent a climatic relict of a once more wide distribution.

    Keywords: Bignoniaceae, climatic relict, coalescence, disjunct geographical distribution, palaeo- distribution modelling, Quaternary climatic changes, Tabebuia impetiginosa, vicariance


  • Collevatti, R., Terribile, L., de Oliveira, G., Lima-Ribeiro, M., Nabout, J., Rangel, T., Diniz-Filho, J.

    Drawbacks to palaeodistribution modelling: the case of South American seasonally dry forests

    (Journal name unavailable from Mendeley API. To be updated soon...)

    Aim Species distribution modelling (SDM) has increasingly been used to predict palaeodistributions at regional and global scales in order to understand the response of vegetation to climate change and to estimate palaeodistributions for the testing of biogeographical hypotheses. However, there are many sources of uncertainty in SDM that may restrict the ability of models to hindcast palaeo-distributions and provide a basis for hypothesis testing in molecular phylogenetics and phylogeographical studies. Location Seasonally dry forests (SDFs) in South America. Methods We addressed the problem of using palaeodistribution modelling for SDFs based on the projection of their current distribution into past environments (21 ka) using 11 methods for SDMs and five coupled atmosphere–ocean global circulation models (AOGCMs) for 16 species. Results We observed considerable uncertainty in the hindcasts, with the most important effects for AOGCM (median 12.2%), species (median 15.6%) and their interaction (median 13.6%). The effects of AOGCMs were stronger in the Amazon region, whereas the species effect occurred primarily in the dry areas of central Brazil. The log-linear model detected significant effects of the three sources of variation and their interaction on the classification of each map in supporting alternative hypotheses. An expansion scenario combining the Pleistocene arc and Amazonian expansion, and Pennington's Amazonian expansion alone, were the most frequently supported palaeodistribution scenarios. Main conclusions As a basis for evaluating a given hypothesis, hindcast distributions must be used in direct association with other evidence, such as molecular variation and the fossil record. We propose an alternative framework concerning hypothesis testing that couples SDM and phylogeographical work, in which palaeoclimatic distributions and other sources of information, such as the pollen fossil record and coalescence modelling, must be weighted equally.

    Keywords: Cerrado biome, dry forests, palaeodistribution models, Pleistocene arc, Pleistocene refugia, Quaternary climatic change, South America, species distribution modelling