Aerosol speciation and mass prediction from toluene oxidation under high NOx conditions

A kinetically based gas-particle partitioning box model is used to highlight the importance of parameter representation in the prediction of secondary organic aerosol (SOA) formation following the photo-oxidation of toluene. The model is initialized using experimental data from York University's indoor smog chamber and provides a prediction of the total aerosol yield and speciation. A series of model sensitivity experiments were performed to study the aerosol speciation and mass prediction under high NO_x conditions (VOC/NO_x = 0.2). Sensitivity experiments indicate vapour pressure estimation to be a large area of weakness in predicting aerosol mass, creating an average total error range of 70 μg m^?3 (range of 5–145 μg m^?3), using two different estimation methods. Aerosol speciation proved relatively insensitive to changes in vapour pressure. One species, 3-methyl-6-nitro-catechol, dominated the aerosol phase regardless of the vapour pressure parameterization used and comprised 73–88% of the aerosol by mass. The dominance is associated with the large concentration of 3-methyl-6-nitro-catechol in the gas-phase. The high NO_x initial conditions of this study suggests that the predominance of 3-methyl-6-nitro-catechol likely results from the cresol-forming branch in the Master Chemical Mechanism taking a significant role in secondary organic aerosol formation under high NO_x conditions. Further research into the yields and speciation leading to this reaction product is recommended.     

The institutional design of forest certification standards initiatives and its influence on the role of science: the case of forest genetic resources

In the 1990s a wide array of non-governmental certification initiatives emerged as a way to promote the sustainable management of resources in sectors such as fisheries and forestry. In this paper, we examine two related questions about these initiatives: how does the institutional design of certification initiatives affect the way science is used in the development of certification standards and in whose interest is science employed? Using the empirical case of forest certification and the specific standards various initiatives have created to address the management of forest genetic resources, we show how structural aspects of decision-making processes affects the standards adopted and the rationalization for their appropriateness. Two basic models of decision-making-stakeholder participation and technical expertise-are discussed in relation to three certification initiatives active in North America-the Canadian Standards Association, the Sustainable Forestry Initiative and the Forest Stewardship Council. By examining the standards these initiatives set for the management of forest genetic resources, we illustrate how two dimensions of science-uncertainty and the logic of cause and effect-are used to rationalize cautious and rigid versus flexible and discretionary standards for the management of forest genetic resources. Our findings indicate that the design or structure of certification decision-making processes, and their embedded balance of authority, mediate the form of standards initiatives will justify on the basis of science.     

Integrating Science into Management of Ecosystems in the Greater Blue Mountains

Effective management of large protected conservation areas is challenged by political, institutional and environmental complexity and inconsistency. Knowledge generation and its uptake into management are crucial to address these challenges. We reflect on practice at the interface between science and management of the Greater Blue Mountains World Heritage Area (GBMWHA), which covers approximately 1 million hectares west of Sydney, Australia. Multiple government agencies and other stakeholders are involved in its management, and decision-making is confounded by numerous plans of management and competing values and goals, reflecting the different objectives and responsibilities of stakeholders. To highlight the complexities of the decision-making process for this large area, we draw on the outcomes of a recent collaborative research project and focus on fire regimes and wild-dog control as examples of how existing knowledge is integrated into management. The collaborative research project achieved the objectives of collating and synthesizing biological data for the region; however, transfer of the project’s outcomes to management has proved problematic. Reasons attributed to this include lack of clearly defined management objectives to guide research directions and uptake, and scientific information not being made more understandable and accessible. A key role of a local bridging organisation (e.g., the Blue Mountains World Heritage Institute) in linking science and management is ensuring that research results with management significance can be effectively transmitted to agencies and that outcomes are explained for nonspecialists as well as more widely distributed. We conclude that improved links between science, policy, and management within an adaptive learning-by-doing framework for the GBMWHA would assist the usefulness and uptake of future research.