Applications of Satellite Remote Sensing to Marine Pollution Studies

There are two approaches in the application of satellite sensors to marine pollution studies. Satellite sensors are used to observe and characterize ocean pollutants such as industrial wastes and oil. in addition, satellite observations provide information useful in illuminating processes such as eutrophi-cation or air-sea exchange of CO₂, that are important in determining the distribution and fate of pollutants.

Satellite technology is an important tool in monitoring and studying ocean pollution. Visible sensors have been used to observe and characterize sewage sludge and industrial wastes dumped at sea. Oil slicks have been observed with Landsat, AVHRR and SAR imagery. Besides directly detecting pollutants, satellite sensors are useful for analyzing ocean processes that are influential in the fate of pollutants. These processes include eutrophication of coastal waters and the distribution of suspended matter. the fate of excess CO₂ can be addressed using scatterometer-derived estimates of wind speeds to determine the CO₂ exchange coefficient at the sea surface on a global scale.     

The post-political nature of marine spatial planning and modalities for its re-politicisation

ABSTRACT

Marine spatial planning (MSP) has become the most adopted approach for sustainable marine governance. While MSP has transformative capacity, evaluations of its implementation illustrate large gaps between how it is conceptualised and how it is practiced. We argue that these gaps arise from MSP being implemented through post-political processes. Although MSP has been explored through post-political lenses, these evaluations are incomplete and do not provide sufficient detail about the complex nature of the post-political condition. Drawing on seminal literature, we conceptualise the post-political as consisting of highly interconnected modalities of depoliticisation, including: neoliberalism; choreographed participation; path dependency; technocratic-managerialism; and the illusion of progressive change. Using these modalities as an analytical framework, we evaluate English MSP and find that it focuses on entrenching neoliberal logic through: tokenistic participation; wholescale adoption of path-dependent solutions; obstructionist deployment of inactive technological solutions; and promising progressive change. We do not, however, view the post-political condition as unresolvable and we develop a suite of suggestions for the re-politicisation of MSP which, collectively, could form the basis for more radical forms of MSP.     

More than Biodiversity: The Socio-economic Impact of Implementing Biodiversity Action Plans in the UK

Biodiversity action plans (BAPs), which are designed to protect and enhance wildlife, can also provide additional benefits to the local economy in terms of job creation and income generation. This paper considers the socio-economic benefits of implementing the BAP for species-rich hedges in Devon. It identifies employment and income generation for hedge contractors, farm labour, trainers, suppliers, processors of hedge products and the tourist industry as a result of 1 million expenditure on hedge restoration work to meet BAP targets. Using data from a survey of hedgerow contractors and key informants in related industries a multiplier analysis identified that funding for hedge restoration can have significant employment and income generation impacts on the local economy. In particular, this multiplier effect is enhanced because both hedge contractors and materials are largely sourced locally.     

Comparing species abundance models

Five regression models (Poisson, negative binomial, quasi-Poisson, the hurdle model and the zero-inflated Poisson) were used to assess the relationship between the abundance of a vulnerable plant species, Leionema ralstonii, and the environment. The methods differed in their capacity to deal with common properties of ecological data. They were assessed theoretically, and their predictive performance was evaluated with correlation, calibration and error statistics calculated within a bootstrap evaluation procedure that simulated performance for independent data.     

Kinship and social tolerance among female and juvenile wild house mice: kin bias but not kin discrimination

Kin-biased social tolerance among house mice has been interpreted in terms of kin discrimination. However, several lines of evidence suggest it may instead be an incidental artifact of group member discrimination. This leads to very different predictions about the social consequences of relatedness within and between social groups. Social interactions between wild-stock adult female and juvenile house mice (Mus domesticus) established in neighbouring territorial groups within enclosures reveal relatedness to dominant males within groups as the major factor determining social tolerance of juveniles by females. Relatedness to the female herself had no significant independent effect on responses indicating tolerance. Females were generally more aggressive toward neighbouring-group juveniles (all unrelated to females) compared with those from their own group (all related to females), but were most aggressive toward neighbouring juveniles sired by the neighbouring dominant male. They were also more aggressive toward their own-group juveniles that had been sired by the neighbouring dominant but only when encountered in the neighbouring territory and with a greater bias against female juveniles. Females were least aggressive toward own-group juveniles sired by their own-group dominant male. The sire-bias in tolerance among females is similar to that reported among the dominant males themselves in an earlier study. As a result of the combined sire-bias in tolerance by adult males and females, juveniles sired by their own-group dominant males become less likely to intrude into a neighbouring territory with time. Overall, the results suggest that differences in social tolerance reflect discrimination on the basis of social group membership rather than relatedness between interactants and thus provide strong experimental evidence in support of incidental kin bias rather than kin discrimination.     

Incentive compensation as an injurious condition of work: A study of labelling

A recursive causal model is presented in which individual and work factors are hypothesized to be predictive of workers' labelling an incentive compensation program as potentially injurious to their well-being. The individual factors include the dispositional variable, negative affectivity, and financial needs and resources. The work factors consist of prior incentive compensation, experienced job insecurity, and experienced control. The model was tested using questionnaire responses of 165 managers and professionals. While it was found that the overall model did not fit the data that well, negative affectivity was found to be positively associated and experienced control negatively associated with the incentive compensation program being labelled negatively. The somewhat surprising finding that financial needs and resources were not found to be significantly associated with labelling is discussed. The importance of disposition and experienced control for the labelling of potentially threatening or harmful job conditions as well as some hypothesized antecedents of control also are discussed.     

Global Emissions of Nitrogen and Sulfur Oxides from 1860 to 1980

Statistical models have been developed that relate the rate of emissions of a pollutant to the rate of fuel consumption. These relations may be used to estimate emissions in other regions, or at other times, if fuel consumption data are available. This approach has been used to estimate global emissions of nitrogen and sulfur oxides in fossil fuel combustion at ten year intervals from 1860 to 1980. Emissions from each of the populated continents, i.e., North America, South America, Asia, Europe, Africa and Oceania from 1930 to 1980 are also presented. When averaged globally over the 1860 to 1980 period, sulfur emissions increased at the rate of 2.9 percent per year and the nitrogen emissions at the rate of 3.4 percent per year. The ratio of global sulfur emissions to nitrogen emissions has declined steadily; it was nearly 5 in the 19th century and became 3 by 1980. After the second world war, the most rapid increases in emissions have been registered in Asia, South America, and Africa.