Bridging natural and social sciences: a framework for identify strategies and actions for the conservation of biodiversity.

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.

Evolution of methodology for the study of adaptability and stability in cultivated species.

The GxE interaction only became widely discussed from evolutionary studies and evaluations of the causes of behavioral changes of species cultivated in environments. In the last 60 years, several methodologies for the study of adaptability and stability of genotypes in multiple environments trials were developed in order to assist the breeder's choice regarding which genotypes are more stable and which are the most suitable for the crops in the most diverse environments. The methods that use linear regression analysis were the first to be used in a general way by breeders, followed by multivariate analysis methods and mixed models. The need to identify the genetic and environmental causes that are behind the GxE interaction led to the development of new models that include the use of covariates and which can also include both multivariate methods and mixed modeling. However, further studies are needed to identify the causes of GxE interaction as well as for the more accurate measurement of its effects on phenotypic expression of varieties in competition trials carried out in genetic breeding programs.