48 research outputs found

    Assembléias de Formicidae epigéas no entorno do Parque Nacional da Chapada Diamantina, Bahia, Brasil

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    Ants at four localities were studied in the surroundins of the National Park of Chapada Diamantina, central region of the State of Bahia, Brazil. Vegetation belongs to the Atlantic forest biome (Sazonal Semideciduous Forest), but it is regionally surrounded by other vegetation formations, mainly of the caatinga and altitude field biomes. In each one of the four areas, 50 samples of ants were collected with a Winkler extractor and anoother 50 with pitfall traps. A total of 191 species distributed in 47 genera was found. The Winkler trap was most efficient in species capture. The communities of the two areas closer to the National Park, at Lençois presented greater similarity between themselves and larger species number, perhaps because they had been less used by humans in the last 40 years, than the two other areas studied, situated in farms and more distant to the Park. The comparative analysis of the similarity indices, calculated from the capture results obtained with the pit-fall traps and Winkler extractor, indicates that the two trees made from the results of all four areas are identical. Although this result was unexpected, it shows that whatever the collection method and the fauna segment studied, the relative similarity between series is respected. If this observation is verified under additional experimental conditions and biomes, it indicates that if the purpose is to use ants as bioindicators, several sampling techniques can be indiscriminately used for the comparative evaluation of ant assemblages, even if different strata are sampled for their fauna, with no impact on the conclusions that can be drawn about their characteristics of degradation or conservation.Foram realizadas coletas de Formicidae em quatro localidades situadas no entorno do Parque Nacional da Chapada Diamantina, região central do Estado da Bahia. A vegetação pertence ao bioma Mata Atlântica (Floresta Estacional Semidecidual), mas é regionalmente circundada por outras formações vegetais, sobretudo dos biomas caatinga e campo rupestre. Em cada uma das quatro áreas, foram coletadas 50 amostras de formigas da serapilheira com o extrator de Winkler e outros 50, com armadilhas de tipo pitfall. Foi encontrado um total de 191 espécies, distribuídas em 47 gêneros. A armadilha de Winkler foi a mais eficiente na captura de espécies. As comunidades das duas áreas situadas mais próximas ao Parque Nacional, em Lençóis, foram as que apresentaram maior similaridade entre si e maior número de espécies, talvez porque foram menos utilizadas pelo homem nos últimos 40 anos do que as duas outras áreas estudadas, situadas em fazendas mais distantes do Parque. A análise comparativa dos índices de similaridade, calculados a partir dos resultados das capturas realizadas com as armadilhas pit-fall e extrator de Winkler, indica que os dois agrupamentos relativos às quatro áreas estudadas são estritamente iguais. Apesar de esse resultado ser surpreendente, ele mostra que, qualquer que seja o método de coleta, isto é, o segmento de fauna amostrada, a similitude relativa entre series amostrais é respeitada. Se essa colocação se verificar em outras condições experimentais e outros biomas, ela indica que, em caso de uso das formigas como indicadores biológicos, diversas metodologias de amostragens poderiam ser indiscriminadamente utilizadas na avaliação comparativa de assembléias de Formicidae, mesmo se forem estudados estratos da fauna diferentes, sem prejuízo das conclusões que podem ser retiradas sobre as características de degradação ou de conservação de cada uma

    Assembléias de Formicidae da serapilheira como bioindicadores da conservação de remanescentes de Mata Atlântica no extremo sul do Estado da Bahia

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    In the extreme south of Bahia State, the Atlantic rainforest has been strongly affected by anthropogenic actions for a long time. Ants are seen as good biological indicators because of their abundance and sensitivity to changes of environmental conditions, thus allowing the evaluation of environmental impacts. The purpose of this study was to evaluate the environmental quality in four Atlantic Forest remnants through the study of Formicidae assemblages. Four reserves sampled during the experiment were: the school of agriculture EMARC (CEPLAC) in Teixeira de Freitas; Vista Alegre Farm in Alcobaça; FIBRASA Farm in Itamarajú; and Riacho das Pedras Farm in Prado. In each area, 50 units of one square meter of litter were sampled at intervals of 50m and 100m of the border using “Winkler” traps. The most frequent ants in EMARC reserve were: Wasmannia auropunctata (60%) and Solenopsis sp.1 (58%); in FIBRASA farm: W. auropunctata (64%) and Solenopsis sp.1 (46%); in Riacho das Pedras farm: Pyramica eggersi (80%) and Solenopsis sp.1 (64%); in Vista Alegre farm: Pheidole sp.1 (34%), Hypoponera sp.8 (32%) and Pyramica denticulata (24%). The highest value of diversity index (Shannon-Weaver) was observed in FIBRASA farm (3.41), followed by Riacho das Pedras farm (3.31), Vista Alegre farm (3.00), and EMARC reserve (2.33). The largest number of species was observed in FIBRASA and in Riacho das Pedras farms (55 species), followed by Vista Alegre (33) and EMARC (22). The area with the highest estimated diversity is the FIBRASA farm, while the reserve of EMARC had the lowest estimate. There were correlations between the level of human impact, the species found and generic richness, as well as with other ecological variables. All the studied areas had a high occurrence of species typical of degraded lands, showing that urgent conservation measures are needed to the increasingly more rare remnants of forest in the extreme South Bahia State.No extremo sul do Estado da Bahia, a Mata Atlântica tem sido fortemente afetada pelas atividades humanas. As formigas são vistas como indicadores biológicos confiáveis por serem sensíveis às mudanças das condições do ambiente, permitindo uma avaliação do impacto ambiental. O objetivo do presente estudo foi de avaliar a qualidade ambiental em quatro remanescentes de Mata Atlântica através de uma análise da estrutura das assembléias de Formicidae. As quatro reservas estudadas, todas situadas naquela região, foram: reserva da escola agrícola EMARC, Município de Teixeira de Freitas; Fazenda Vista Alegre, Alcobaça; Fazenda FIBRASA, Itamarajú e Fazenda Riacho das Pedras, Prado. Em cada área, foram amostrados 50 pontos de um metro quadrado de serapilheira, com o auxílio de armadilhas de tipo “Winkler”. O maior número de espécies observado foi na Fazenda FIBRASA (55 espécies) e na Fazenda Riacho das Pedras, seguidas pela Fazenda Vista Alegre (33) e a reserva da EMARC (22). A área de maior diversidade de espécies esperada (estimador Chao2) é também a da Fazenda FIBRASA, enquanto a área da EMARC foi também a de menor diversidade esperada. As espécies mais freqüentes na reserva da EMARC foram Wasmannia auropunctata (60% das amostras) e Solenopsis sp1 (58%); na Fazenda FIBRASA, W. auropunctata (64%) e Solenopsis sp.1 (46%); na Fazenda Riacho das Pedras, Pyramica eggersi (80%) e Solenopsis sp.1 (64%); na Fazenda Vista Alegre, Pheidole sp.1 (34%), Hypoponera sp.8 (32%) e Pyramica denticulata (24%). Existem correlações entre o nível de impacto humano e as riquezas específica e genérica, assim como com outras variáveis ecológicas, nas áreas estudadas. Todas essas apresentaram uma ocorrência elevada de espécies típicas de ambientes degradados, como é o caso de W. auropunctata, mostrando a urgência que existe numa política de conservação mais efetiva dos cada vez mais raros remanescentes do extremo sul do Estado da Bahia

    The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the extended Baryon Oscillation Spectroscopic Survey and from the second phase of the Apache Point Observatory Galactic Evolution Experiment

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    The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) has been in operation since July 2014. This paper describes the second data release from this phase, and the fourteenth from SDSS overall (making this, Data Release Fourteen or DR14). This release makes public data taken by SDSS-IV in its first two years of operation (July 2014-2016). Like all previous SDSS releases, DR14 is cumulative, including the most recent reductions and calibrations of all data taken by SDSS since the first phase began operations in 2000. New in DR14 is the first public release of data from the extended Baryon Oscillation Spectroscopic Survey (eBOSS); the first data from the second phase of the Apache Point Observatory (APO) Galactic Evolution Experiment (APOGEE-2), including stellar parameter estimates from an innovative data driven machine learning algorithm known as "The Cannon"; and almost twice as many data cubes from the Mapping Nearby Galaxies at APO (MaNGA) survey as were in the previous release (N = 2812 in total). This paper describes the location and format of the publicly available data from SDSS-IV surveys. We provide references to the important technical papers describing how these data have been taken (both targeting and observation details) and processed for scientific use. The SDSS website (www.sdss.org) has been updated for this release, and provides links to data downloads, as well as tutorials and examples of data use. SDSS-IV is planning to continue to collect astronomical data until 2020, and will be followed by SDSS-V.Comment: SDSS-IV collaboration alphabetical author data release paper. DR14 happened on 31st July 2017. 19 pages, 5 figures. Accepted by ApJS on 28th Nov 2017 (this is the "post-print" and "post-proofs" version; minor corrections only from v1, and most of errors found in proofs corrected

    Photography-based taxonomy is inadequate, unnecessary, and potentially harmful for biological sciences

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    The question whether taxonomic descriptions naming new animal species without type specimen(s) deposited in collections should be accepted for publication by scientific journals and allowed by the Code has already been discussed in Zootaxa (Dubois & Nemésio 2007; Donegan 2008, 2009; Nemésio 2009a–b; Dubois 2009; Gentile & Snell 2009; Minelli 2009; Cianferoni & Bartolozzi 2016; Amorim et al. 2016). This question was again raised in a letter supported by 35 signatories published in the journal Nature (Pape et al. 2016) on 15 September 2016. On 25 September 2016, the following rebuttal (strictly limited to 300 words as per the editorial rules of Nature) was submitted to Nature, which on 18 October 2016 refused to publish it. As we think this problem is a very important one for zoological taxonomy, this text is published here exactly as submitted to Nature, followed by the list of the 493 taxonomists and collection-based researchers who signed it in the short time span from 20 September to 6 October 2016

    The 13th Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the SDSS-IV Survey Mapping Nearby Galaxies at Apache Point Observatory

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    The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) began observations in July 2014. It pursues three core programs: APOGEE-2,MaNGA, and eBOSS. In addition, eBOSS contains two major subprograms: TDSS and SPIDERS. This paper describes the first data release from SDSS-IV, Data Release 13 (DR13), which contains new data, reanalysis of existing data sets and, like all SDSS data releases, is inclusive of previously released data. DR13 makes publicly available 1390 spatially resolved integral field unit observations of nearby galaxies from MaNGA,the first data released from this survey. It includes new observations from eBOSS, completing SEQUELS. In addition to targeting galaxies and quasars, SEQUELS also targeted variability-selected objects from TDSS and X-ray selected objects from SPIDERS. DR13 includes new reductions ofthe SDSS-III BOSS data, improving the spectrophotometric calibration and redshift classification. DR13 releases new reductions of the APOGEE-1data from SDSS-III, with abundances of elements not previously included and improved stellar parameters for dwarf stars and cooler stars. For the SDSS imaging data, DR13 provides new, more robust and precise photometric calibrations. Several value-added catalogs are being released in tandem with DR13, in particular target catalogs relevant for eBOSS, TDSS, and SPIDERS, and an updated red-clump catalog for APOGEE.This paper describes the location and format of the data now publicly available, as well as providing references to the important technical papers that describe the targeting, observing, and data reduction. The SDSS website, http://www.sdss.org, provides links to the data, tutorials and examples of data access, and extensive documentation of the reduction and analysis procedures. DR13 is the first of a scheduled set that will contain new data and analyses from the planned ~6-year operations of SDSS-IV.PostprintPeer reviewe

    The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA-derived Quantities, Data Visualization Tools, and Stellar Library

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    Twenty years have passed since first light for the Sloan Digital Sky Survey (SDSS). Here, we release data taken by the fourth phase of SDSS (SDSS-IV) across its first three years of operation (2014 July–2017 July). This is the third data release for SDSS-IV, and the 15th from SDSS (Data Release Fifteen; DR15). New data come from MaNGA—we release 4824 data cubes, as well as the first stellar spectra in the MaNGA Stellar Library (MaStar), the first set of survey-supported analysis products (e.g., stellar and gas kinematics, emission-line and other maps) from the MaNGA Data Analysis Pipeline, and a new data visualization and access tool we call "Marvin." The next data release, DR16, will include new data from both APOGEE-2 and eBOSS; those surveys release no new data here, but we document updates and corrections to their data processing pipelines. The release is cumulative; it also includes the most recent reductions and calibrations of all data taken by SDSS since first light. In this paper, we describe the location and format of the data and tools and cite technical references describing how it was obtained and processed. The SDSS website (www.sdss.org) has also been updated, providing links to data downloads, tutorials, and examples of data use. Although SDSS-IV will continue to collect astronomical data until 2020, and will be followed by SDSS-V (2020–2025), we end this paper by describing plans to ensure the sustainability of the SDSS data archive for many years beyond the collection of data

    Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies, and the Distant Universe

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    We describe the Sloan Digital Sky Survey IV (SDSS-IV), a project encompassing three major spectroscopic programs. The Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2) is observing hundreds of thousands of Milky Way stars at high resolution and high signal-to-noise ratios in the near-infrared. The Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey is obtaining spatially resolved spectroscopy for thousands of nearby galaxies (median z0.03z\sim 0.03). The extended Baryon Oscillation Spectroscopic Survey (eBOSS) is mapping the galaxy, quasar, and neutral gas distributions between z0.6z\sim 0.6 and 3.5 to constrain cosmology using baryon acoustic oscillations, redshift space distortions, and the shape of the power spectrum. Within eBOSS, we are conducting two major subprograms: the SPectroscopic IDentification of eROSITA Sources (SPIDERS), investigating X-ray AGNs and galaxies in X-ray clusters, and the Time Domain Spectroscopic Survey (TDSS), obtaining spectra of variable sources. All programs use the 2.5 m Sloan Foundation Telescope at the Apache Point Observatory; observations there began in Summer 2014. APOGEE-2 also operates a second near-infrared spectrograph at the 2.5 m du Pont Telescope at Las Campanas Observatory, with observations beginning in early 2017. Observations at both facilities are scheduled to continue through 2020. In keeping with previous SDSS policy, SDSS-IV provides regularly scheduled public data releases; the first one, Data Release 13, was made available in 2016 July
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