3 resultados para right of response

em Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa)


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Sewage sludge applied to soils as a fertilizer often contains metals and linear alkylbenzene sulphonate (LAS) as contaminants. These pollutants can be transported to the aquatic environment where they can alter the phosphatase activity in living organisms. The acid phosphatase of algae plays important roles in metabolism such as decomposing organic phosphate into free phosphate and autophagic digestive processes. The order of in vitro inhi- bition of Pseudokirchneriella subcapitata acid phosphatase at the highest concentration tested was LAS[Hg2? = Al 3?[Se4? = Pb2?[Cd2?. A non-competitive inhibi- tion mechanism was obtained for Hg2? (Ki = 0.040 mM) and a competitive inhibition for LAS (Ki = 0.007 mM). In vivo studies with treated algae cultures showed that the inhibition of specific activity was observed in algae exposed during 7 days, in contrast to short term (24 h) treatments with both these chemicals. Our results suggest that the inhibition parameters in vitro did not markedly differ between the two chemicals. On the other hand, in vivo evaluations showed strong differences between both pollu- tants regarding the concentration values and the degree of response.

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The Atlantic Forest is one of the most diverse areas in the world and considered a hotspot. Several actions are needed for its preservation, among them the implementation of the Biodiversity Corridors. The Atlantic Forest has three biodiversity corridors and the Rio de Janeiro State, which harbors huge species diversity, is in the Serra do Mar Corridor. We developed socioeconomic, political and environmental indicators to present conservation strategies supported by a wide database. These indicators complemented the previous surveys of priority areas which emphasized biotic elements, and their integration allowed the elaboration of strategies for the conservation and management, regionally directed, to support actions to be implemented by the Government. The analysis was done considering three subjects: Anthropic Pressure, Physical and Biotic State, and Present Ability of Response. Data analysis followed a synthesis-aggregation schedule and the resulting database was taken to a workshop, where specialists proposed strategies and actions for the conservation. These strategies were discussed considering vegetation remnant distribution, biological relevance, environmental vulnerability, kind of anthropic pressure in the region and potential for success of the actions proposed, based on the ability of response. Rio de Janeiro State is very diverse in biotic, physical, political, socioeconomic and cultural aspects which demand specific actions for each region. So, depending on the present situation of the natural and anthropic environments and on the present and future sources of degradation, regionally directed actions are applicable. This specificity in conservation actions will enable that the State remnants will be more successfully protected.

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Dynamic global vegetation models (DGVMs) simulate surface processes such as the transfer of energy, water, CO2, and momentum between the terrestrial surface and the atmosphere, biogeochemical cycles, carbon assimilation by vegetation, phenology, and land use change in scenarios of varying atmospheric CO2 concentrations. DGVMs increase the complexity and the Earth system representation when they are coupled with atmospheric global circulation models (AGCMs) or climate models. However, plant physiological processes are still a major source of uncertainty in DGVMs. The maximum velocity of carboxylation (Vcmax), for example, has a direct impact over productivity in the models. This parameter is often underestimated or imprecisely defined for the various plant functional types (PFTs) and ecosystems. Vcmax is directly related to photosynthesis acclimation (loss of response to elevated CO2), a widely known phenomenon that usually occurs when plants are subjected to elevated atmospheric CO2 and might affect productivity estimation in DGVMs. Despite this, current models have improved substantially, compared to earlier models which had a rudimentary and very simple representation of vegetation?atmosphere interactions. In this paper, we describe this evolution through generations of models and the main events that contributed to their improvements until the current state-of-the-art class of models. Also, we describe some main challenges for further improvements to DGVMs.