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Abstract: The problem of fit between social institutions and ecological systems is an enduring challenge in natural resource management and conservation. Developments in the science of conservation biology encourage the management of landscapes at increasingly larger scales. In contrast, sociological approaches to conservation emphasize the importance of ownership, collaboration and stewardship at scales relevant to the individual or local community. Despite the proliferation of initiatives seeking to work with local communities to undertake conservation across large landscapes, there is an inherent tension between these scales of operation. Consequently, questions about the changing nature of effective conservation across scales abound. Through an analysis of three nested cases working in a semiautonomous fashion in the Northern Rocky Mountains in North America, this paper makes an empirical contribution to the literature on nested governance, collaboration and communication across scales. Despite different scales of operation, constituencies and scale frames, we demonstrate a surprising similarity in organizational structure and an implicit dependency between these initiatives. This paper examines the different capacities and capabilities of collaborative conservation from the local to regional to supra regional. We draw on the underexplored concept of ‘scale-dependent comparative advantage’ (Cash and Moser, 2000), to gain insight into what activities take place at which scale and what those activities contribute to nested governance and collaborative conservation. The comparison of these semiautonomous cases provides fruitful territory to draw lessons for understanding the roles and relationships of organizations operating at different scales in more connected networks of nested governance. [Copyright &y& Elsevier]

Abstract: Founder of the Brussels Observatory, Adolphe Quetelet (1796–1874) is especially well known for his theory of the average man. Like the average position of a star obtained through a large quantity of observed data, the average man was, according to Quetelet, subject to fixed causal laws. Published in 1835, his book On Man: Essay of Social Physics is one of the founding works of sociology and mathematical statistics. The sources of the analogy between astronomy and social physics have been debated by historians. To shed light on this question and the conditions of application of mathematics in the 19th century, we publish for the first time a manuscript that is kept in Quetelet's papers at the Royal Academy of Belgium, and give an English translation of it. [Copyright &y& Elsevier]

Abstract: The 2010 British Petroleum (BP) Deepwater Horizon oil spill highlighted long-standing questions about energy exploration and its social and environmental implications. Sociologists studying environmental disasters have documented the social impacts resulting from these events and dissatisfaction with government and industry responses. In this paper, we use data from a survey conducted during the Gulf of Mexico oil spill to examine how Louisiana and Florida residents'' social backgrounds, experiences with the spill, and trust in information sources predict their perceptions of governmental and BP response efforts. We find that direct personal impacts and compensation strongly influence the evaluations of responding organizations. Age and place of residence also predict such assessments. Finally, levels of confidence in television news and BP as sources of information appear to shape Gulf Coast residents'' opinions about the work of organizations responding to the Deepwater Horizon disaster. [Copyright &y& Elsevier]

In the paper we study a semiparametric density estimation method based on the model of an elliptical distribution. The method considered here shows a way to overcome problems arising from the curse of dimensionality. The optimal rate of the uniform strong convergence of the estimator under consideration coincides with the optimal rate for the usual one-dimensional kernel density estimator except in a neighbourhood of the mean. Therefore the optimal rate does not depend on the dimension. Moreover, asymptotic normality of the estimator is proved. [Copyright &y& Elsevier]