Institution
Universidade Federal de Viçosa
Education•Viçosa, Brazil•
About: Universidade Federal de Viçosa is a education organization based out in Viçosa, Brazil. It is known for research contribution in the topics: Population & Biology. The organization has 16012 authors who have published 26711 publications receiving 353416 citations.
Topics: Population, Biology, Soil water, Dry matter, Species richness
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors quantify litterfall and litter decomposition in an agroforestry system in Vicosa, Minas Gerais and compare litter production with the results obtained in semideciduous forests in Southeastern Brazil.
Abstract: This study aimed to quantify litterfall and litter decomposition in an agroforestry system in Vicosa, Minas Gerais and to compare litter production with the results obtained in semideciduous forests in Southeastern Brazil. Twenty wooden litter traps of 0.5 x 0.5 m with nylon screen bottoms and 1.0 mm 2 mesh were used, placed 10 cm above the surface of the soil. The collections were performed monthly from September 2000 to August 2001. The material deposited in the traps, under laboratory conditions, was sorted out in the fractions leaves, branches (up to 2.0 cm of diameter) and reproductive material, - dried to 70 oC and weighed in a precision scale. The annual litter production was estimated in 10165.13 kg/ha (67.46% leaves, 19.87% reproductive material and 12.67% branches). The largest production values occurred at the end of the dry season, reaching a maximum value in September. The decomposition coefficient (K) was 1.17 and the time needed for the disappearance of 50% of the litter was estimated in 215 days.
100 citations
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TL;DR: In this paper, the sustainability of incorporating pulp and paper waste sludge into concrete-based mortars was analyzed, and the results showed that for use in wall and ceiling mortar coatings, the level of incorporation should not exceed 10%, because higher levels yield lower values of mechanical strength resistance, incompatible with market requirements.
99 citations
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TL;DR: Overall, the data suggest that Coffea spp.
Abstract: Coffee is one of the world's most traded agricultural products. Modeling studies have predicted that climate change will have a strong impact on the suitability of current cultivation areas, but these studies have not anticipated possible mitigating effects of the elevated atmospheric [CO2] because no information exists for the coffee plant. Potted plants from two genotypes of Coffea arabica and one of C. canephora were grown under controlled conditions of irradiance (800 μmol m(-2) s(-1)), RH (75%) and 380 or 700 μL CO2 L(-1) for 1 year, without water, nutrient or root development restrictions. In all genotypes, the high [CO2] treatment promoted opposite trends for stomatal density and size, which decreased and increased, respectively. Regardless of the genotype or the growth [CO2], the net rate of CO2 assimilation increased (34-49%) when measured at 700 than at 380 μL CO2 L(-1). This result, together with the almost unchanged stomatal conductance, led to an instantaneous water use efficiency increase. The results also showed a reinforcement of photosynthetic (and respiratory) components, namely thylakoid electron transport and the activities of RuBisCo, ribulose 5-phosphate kinase, malate dehydrogenase and pyruvate kinase, what may have contributed to the enhancements in the maximum rates of electron transport, carboxylation and photosynthetic capacity under elevated [CO2], although these responses were genotype dependent. The photosystem II efficiency, energy driven to photochemical events, non-structural carbohydrates, photosynthetic pigment and membrane permeability did not respond to [CO2] supply. Some alterations in total fatty acid content and the unsaturation level of the chloroplast membranes were noted but, apparently, did not affect photosynthetic functioning. Despite some differences among the genotypes, no clear species-dependent responses to elevated [CO2] were observed. Overall, as no apparent sign of photosynthetic down-regulation was found, our data suggest that Coffea spp. plants may successfully cope with high [CO2] under the present experimental conditions.
99 citations
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TL;DR: Both models for sizing of stand–alone photovoltaic generators present advantages and disadvantages, however, the stochastic one is more complex and provides more reliable and realistic results.
99 citations
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TL;DR: It is shown that proportional sampling can detect species–area relationships (SARs) more effectively than uniform sampling and the proposed model, together with proportional sampling, allowed the distinction between sampling effects and other mechanisms.
Abstract: Aim In this paper we aim to show that proportional sampling can detect species–area relationships (SARs) more effectively than uniform sampling. We tested the contribution of alpha and beta diversity in ant communities as explanations for the SAR.
Location Tropical forest remnants in Vicosa, Minas Gerais, Brazil (20 °45′ S, 42 °50′ W).
Methods We sampled 17 forest remnants with proportional sampling. To disentangle sampling effects from other mechanisms, species richness was fitted in a model with remnant size, number of samples (sampling effects) and an interaction term.
Results A SAR was observed independent of the number of samples, discarding sampling effects. Alpha diversity was not influenced by remnant size, and beta diversity increased with remnant size; evidence to the fact that habitat diversity within remnants could be the dominant cause of the SAR. Such a relationship between beta diversity and remnant area may have also arisen due to the combined effects of territoriality and aggregation of ant species.
Main conclusions The proposed model, together with proportional sampling, allowed the distinction between sampling effects and other mechanisms.
99 citations
Authors
Showing all 16194 results
Name | H-index | Papers | Citations |
---|---|---|---|
José A. Teixeira | 101 | 1414 | 47329 |
J. Alfredo Martínez | 82 | 642 | 24009 |
Andrew J. Davison | 78 | 240 | 22171 |
David H. Bromwich | 75 | 291 | 21688 |
Takeji Nishikawa | 59 | 408 | 14727 |
Thierry Candresse | 59 | 403 | 11833 |
Raul Narciso C. Guedes | 55 | 378 | 10668 |
Matthias Erb | 54 | 166 | 8599 |
Arne Janssen | 53 | 179 | 8315 |
Paulo R. Guimarães | 52 | 162 | 10206 |
Antonio Reverter | 52 | 233 | 7259 |
Adriano Nunes-Nesi | 52 | 157 | 8453 |
Fermín I. Milagro | 51 | 245 | 9281 |
Svetoslav Dimitrov Todorov | 51 | 210 | 7072 |
Marcos Heil Costa | 50 | 124 | 9660 |