scholarly journals Atlantic frugivory: a plant-frugivore interaction data set for the Atlantic Forest

Ecology ◽  
2017 ◽  
Vol 98 (6) ◽  
pp. 1729-1729 ◽  
Author(s):  
Carolina Bello ◽  
Mauro Galetti ◽  
Denise Montan ◽  
Marco A. Pizo ◽  
Tatiane C. Mariguela ◽  
...  

2020 ◽  
Vol 8 ◽  
Author(s):  
Ana Munévar ◽  
Pedro Cardoso ◽  
Yolanda Piñanez Espejo ◽  
Gustavo Andres Zurita

The semideciduous Atlantic Forest is one of the most diverse ecosystems in the world with a great diversity of spiders. Most spider-related studies in this ecosystem focused on species richness and composition; however, little is known about their trait diversity (including morphological, ecological and/or physiological traits). Two main datasets were compiled to generate a complete record of spider traits for this ecosystem. Here, we present two datasets about 259 species of spiders from the semideciduous Atlantic Forest of Argentina. The trait data set compiled information of morphological and ecological traits such as body size, femur length, ocular distance, foraging strategy, prey range, circadian activity and stratum preference; traits were assessed by species considering sexual dimorphism. The second dataset included information about phenology (season when spiders were collected), number of individuals assessed by species and presence/absence of spiders in the different sample sites. This dataset has high potential to help researchers in recording the state of a component of biodiversity (functional) and contributes with the study of ecosystem services and species conservation.



Ecology ◽  
2018 ◽  
Vol 99 (2) ◽  
pp. 497-497 ◽  
Author(s):  
Érica Hasui ◽  
Jean Paul Metzger ◽  
Rafael G. Pimentel ◽  
Luís Fábio Silveira ◽  
Alex A. d. A. Bovo ◽  
...  


Ecology ◽  
2019 ◽  
Vol 100 (2) ◽  
pp. e02541 ◽  
Author(s):  
Flavio Nunes Ramos ◽  
Sara Ribeiro Mortara ◽  
Nathalia Monalisa‐Francisco ◽  
João Pedro Costa Elias ◽  
Luiz Menini Neto ◽  
...  


2009 ◽  
Vol 07 (04) ◽  
pp. 701-716 ◽  
Author(s):  
HENRY CHI-MING LEUNG ◽  
MAN-HUNG SIU ◽  
SIU-MING YIU ◽  
FRANCIS YUK-LUN CHIN ◽  
KEN WING-KIN SUNG

Predicting motif pairs from a set of protein sequences based on the protein–protein interaction data is an important, but difficult computational problem. Tan et al. proposed a solution to this problem. However, the scoring function (using χ2 testing) used in their approach is not adequate and their approach is also not scalable. It may take days to process a set of 5000 protein sequences with about 20,000 interactions. Later, Leung et al. proposed an improved scoring function and faster algorithms for solving the same problem. But, the model used in Leung et al. is complicated. The exact value of the scoring function is not easy to compute and an estimated value is used in practice. In this paper, we derive a better model to capture the significance of a given motif pair based on a clustering notion. We develop a fast heuristic algorithm to solve the problem. The algorithm is able to locate the correct motif pair in the yeast data set in about 45 minutes for 5000 protein sequences and 20,000 interactions. Moreover, we derive a lower bound result for the p-value of a motif pair in order for it to be distinguishable from random motif pairs. The lower bound result has been verified using simulated data sets. Availability:



2011 ◽  
Vol 71 (3) ◽  
pp. 569-575 ◽  
Author(s):  
RRD. Chagas ◽  
SF. Ferrari

The recently-discovered titi, Callicebus coimbrai, is endemic to the coastal Brazilian Atlantic Forest south of the São Francisco River, a region with a long tradition of deforestation. While a number of C. coimbrai populations have now been identified, little is known about basic population parameters. Considering the importance of this information for conservation planning, the population of a site in southern Sergipe (with a total area of forest of approximately 500 ha) was surveyed between April and October 2008. Standard line transect procedures were used in the four largest fragments, and additional monitoring included the use of playback broadcasts for the observation of titi groups. The presence of titis was confirmed in all the forest fragments at the site, including one of only five hectares. Two other primates - Callithrix jacchus and Cebus xanthosternos - were also recorded at the site, but were less abundant than titis. A total transect walk of 476 km provided 164 sightings of primates, the majority of which (104) were of Callicebus coimbrai. Titi groups ranged in size between two and five individuals. The most reliable estimate of overall population density, derived from the combined data set, was 12.6 individuals per km²;, although density was much higher in smaller (more disturbed) fragments. The total population of Callicebus coimbrai at the site was estimated to be at least 50 individuals, which may represent a considerable proportion of the population of the species remaining in the wild. In addition to its apparent tolerance of habitat fragmentation, densities of C. coimbrai recorded at the site compare favourably with those of other Atlantic Forest titi species.



2017 ◽  
Author(s):  
Gully A Burns ◽  
Pradeep Dasigi ◽  
Eduard H. Hovy

Abstract.We describe a methodology for automatically extracting ‘evidence fragments’ from a set of biomedical experimental research articles. These fragments provide the primary description of evidence that is presented in the papers’ figures. They elucidate the goals, methods, results and interpretations of experiments that support the original scientific contributions the study being reported. Within this paper, we describe our methodology and showcase an example data set based on the European Bioinformatics Institute’s INTACT database (http://www.ebi.ac.uk/intact/). Using figure codes as anchors, we linked evidence fragments to INTACT data records as an example ofdistant supervisionso that we could use INTACT’s preexisting, manually-curated structured interaction data to act as a gold standard for machine reading experiments. We report preliminary baseline event extraction measures from this collection based on a publicly available, machine reading system (REACH). We use semantic web standards for our data and provide open access to all source code.



Ecology ◽  
2019 ◽  
Vol 100 (10) ◽  
Author(s):  
Yuri Souza ◽  
Fernando Gonçalves ◽  
Laís Lautenschlager ◽  
Paula Akkawi ◽  
Calebe Mendes ◽  
...  


Ecology ◽  
2017 ◽  
Vol 98 (11) ◽  
pp. 2981-2981 ◽  
Author(s):  
Marcos S. L. Figueiredo ◽  
Camila S. Barros ◽  
Ana C. Delciellos ◽  
Edú B. Guerra ◽  
Pedro Cordeiro-Estrela ◽  
...  


Ecology ◽  
2018 ◽  
Vol 99 (2) ◽  
pp. 498-498 ◽  
Author(s):  
Fernando Gonçalves ◽  
Ricardo S. Bovendorp ◽  
Gabrielle Beca ◽  
Carolina Bello ◽  
Raul Costa-Pereira ◽  
...  


2021 ◽  
Vol 24 ◽  
Author(s):  
Leticia Dangui da Silva ◽  
Rafael Sari ◽  
Camila Diedrich ◽  
Celeide Pereira ◽  
Vanderlei Aparecido de Lima ◽  
...  

Abstract The açaí is a popular Brazilian fruit, however, already part of the world's healthy eating habits owing to its antioxidant properties. The study aimed to determine the effect of solvent in extracting phenolic compounds with antioxidant potential in açaí juçara (Euterpe edulis Mart.) using a Completely Randomized Design (CRD). The phenolic compound profile was quantified by High-Performance Liquid Chromatography (HPLC), and the data set was analyzed by Principal Component Analysis (PCA). The PCA was applied to evidence the relationships between the concentration of phenolic compounds and the solvents. Furthermore, the antioxidant activity was also determined by 2,2’-diphenyl-1-picrylhydrazyl (DPPH), 2,2’-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS), and Ferric Reducing Antioxidant Power (FRAP) methods. The solvent ethanol: water 70% was more efficient in extracting phenolic compounds with high antioxidant activity. In this extract, salicylic acid was found in high concentrations as well as catechin, epicatechin, and coumaric acid. Based on a consensus that phenolic compounds are associated with the most powerful antioxidant activities of fruits, the “açaí juçara” from the Atlantic Forest is a potential source of polyphenols. They could be used as natural antioxidants for application in the food and pharmaceutical industry in order to substitute the synthetic antioxidants.



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