Description: Global climate change is exerting profound effects on organisms and ecosystems. As resource managers and policymakers must contend with the ongoing and future effects of global climate change, they challenge scientists to predict where, when, and with what magnitude these effects are most likely to occur. By understanding the processes by which human-managed and natural ecosystems respond to a changing climate, and by quantifying levels of confidence in our ability to predict these effects, we may be able to prepare for some of these impacts, a form of adaptation to climate change. Here, we describe how knowledge of physiology can help to inform management decisions. Because physiological tolerance to environmental factors varies between species, there will likely be “winners” and “losers” in the face of climate change. We explore how a failure to consider the details of an organism’s physiology and ecology can hamper efforts to respond proactively to climate change and, conversely, how an understanding of how nonhuman organisms interact with their environment can help to provide a framework for anticipating and preparing for future changes in natural and managed ecosystems. We examine some of the physiological responses of marine organisms to climate change in three examples: thermal stress in marine invertebrates, ramifications of water temperature changes on fish bioenergetics and thus on fish reproduction and growth, and effects of changes in wave forces on damage to corals and kelp. Because factors such as temperature interact with other stressors like overexploitation and pollution to drive patterns of mortality, it may be possible to prevent some damage by reducing the impact of stressors not related to climate change. Methods such as ecological forecasting and the utilization of bioenergetic budgets can be used to help guide future adaptation to climate change by providing forecasts within a probabilistic framework. Author:  Brian Helmuth Lauren Yamane Katharine J. Mach Shilpi Chhotray Phil Levin Sarah Woodin Issue:  Climate change Download:  61_Helmuth Final.pdf

Description: Publication date: September 2013 Source: Journal of Environmental Economics and Management, Volume 66, Issue 2 Author(s): Michael Finus , Christos Kotsogiannis , Steve McCorriston Given the current trend in global emissions, the latest round of climate change negotiations at the Durban meeting of December 2011 (for the adoption of a comprehensive global treaty on climate change mitigation as soon as possible—and no later than 2015—and to come into force in 2020) has hardly shown the results one would have hoped for. Even for the most optimistic, it remains unclear whether one can expect a successful negotiating outcome by 2015. There are inherent difficulties associated with climate change negotiations, ranging from which countries should bear most responsibility for a given emission reduction target to the assessment of a globally efficient time path for pricing harmful greenhouse gas emissions (GHGs). These difficulties become even more complex and challenging under the pervasive uncertainty of climate science and the uncertainty about the feedback loop between climate change damages and economic growth. During the past decades, the environmental economics literature has provided important insights regarding the design of environmental fiscal policies and treaties but there is a host of issues that remain relatively unexplored. For instance, we know little about the cooperative solution for carbon and trade policies when climate change affects the productive possibilities of countries. In this context, it is also not obvious whether observed policies could be improved upon in such a way that all countries gain in welfare. It remains also unclear what the carbon extraction path should be in the absence of a comprehensive treaty (such as, for example, if environmental policy is unilaterally chosen subject to an agreed ‘ceiling’ in global temperature). Though carbon pricing instruments like carbon taxes, cap-and-trade and hybrids have been well studied, not much is known about their properties in the presence of ‘offset’ schemes such as the Clean Development Mechanism. More work is also required to understand the strategic implications of the uncertainty surrounding climate change and how this affects, for example, the choice of climate change strategy (‘precautionary’ or ‘wait and see’), how uncertainty impacts the propensity of countries to sign a climate treaty, and the extent to which the possibility of a climate catastrophe fosters or hinders cooperation. Understanding political economy issues is also vital in tackling climate change because efficient climate policies stand little chance of being successfully negotiated and implemented if they do not receive the support of the electorate. The papers in the special issue of the Journal of Environmental Economics and Management are precisely devoted to this broad research agenda.

Description: Wigand, L. A., Klinger, T., and Logsdon, M. G. 2013. Patterns in groundfish abundance along the Eastern Bering Sea outer continental margin. – ICES Journal of Marine Science, 70: 1181–1197. Place-based management approaches require understanding the spatial arrangement and interaction of elements. To address this need, we explored the utility of spatial-pattern analysis to understand the distribution of groundfish in the Eastern Bering Sea outer continental margin. We divided this region into discrete geomorphological units to explore spatial pattern on a range of scales. We used groundfish catch per unit effort (cpue) trawl survey data collected in four years to quantify spatial autocorrelation. Global statistics indicated that groundfish cpue was dominated by clusters of low values in all years. Local statistics showed that clusters of low values in groundfish cpue were confined to the southern portion of the study area, while clusters of high values varied across the study area. Outliers were most commonly found in close proximity to the shelf–slope break. Our results reveal the existence of spatial dependency in groundfish abundance and demonstrate that spatial analysis can be used to better understand spatial arrangements of these and other living marine resources, and to quantify and validate the local ecological knowledge of resource users. Our results indicate the feasibility of using spatially explicit tools to improve integration and visualization of marine environmental data for purposes of management and conservation.