A Conceptual Model of Natural and Anthropogenic Drivers and Their Influence on the Prince William Sound, Alaska, Ecosystem

Prince William Sound (PWS) is a semi-enclosed fjord estuary on the coast of Alaska adjoining the northern Gulf of Alaska (GOA). PWS is highly productive and diverse, with primary productivity strongly coupled to nutrient dynamics driven by variability in the climate and oceanography of the GOA and North Pacific Ocean. The pelagic and nearshore primary productivity supports a complex and diverse trophic structure, including large populations of forage and large fish that support many species of marine birds and mammals. High intra-annual, inter-annual, and interdecadal variability in climatic and oceanographic processes as drives high variability in the biological populations. A risk-based conceptual ecosystem model (CEM) is presented describing the natural processes, anthropogenic drivers, and resultant stressors that affect PWS, including stressors caused by the Great Alaska Earthquake of 1964 and the Exxon Valdez oil spill of 1989. A trophodynamic model incorporating PWS valued ecosystem components is integrated into the CEM. By representing the relative strengths of driver/stressors/effects, the CEM graphically demonstrates the fundamental dynamics of the PWS ecosystem, the natural forces that control the ecological condition of the Sound, and the relative contribution of natural processes and human activities to the health of the ecosystem. The CEM illustrates the dominance of natural processes in shaping the structure and functioning of the GOA and PWS ecosystems

Income-related health inequalities: does perceived discrimination matter?

Because of their meritocratic ideology, Western countries might promote the belief that every individual is responsible for his or her socioeconomic position. These beliefs might enhance discrimination which, in turn, might affect health. Therefore, the aim of the study was to investigate the role of perceived discrimination within income-related health inequalities. Two-year follow-up data (2008-2010) from the Dutch Longitudinal Internet Studies for the Social sciences panel (N = 2,139) were used to examine the relation between income, perceived discrimination, and self-rated health and feeling hindered by health problems. Results showed that poor health was more prevalent in the low income and in the discriminated group. Participants from the low income group were also more likely to perceive discrimination (OR = 1.57, 95 % CI = 1.03-2.42). However, there was no substantial evidence for a mediating effect of perceived discrimination on the income-health association. The results emphasise the importance of a more in-depth study of discrimination in relation to socioeconomic health inequalities. Since ethnicity was a major confounder, it is recommended to take account of the complex interplay between discrimination and both the socioeconomic and ethnic background