Description:    Climate change is an issue of great importance for human rights, public health, and socioeconomic equity because of its diverse consequences overall as well as its disproportionate impact on vulnerable and socially marginalized populations. Vulnerability to climate change is determined by a community’s ability to anticipate, cope with, resist, and recover from the impact of major weather events. Climate change will affect industrial and agricultural sectors, as well as transportation, health, and energy infrastructure. These shifts will have significant health and economic consequences for diverse communities throughout California. Without proactive policies to address these equity concerns, climate change will likely reinforce and amplify current as well as future socioeconomic disparities, leaving low-income, minority, and politically marginalized groups with fewer economic opportunities and more environmental and health burdens. This review explores the disproportionate impacts of climate change on vulnerable groups in California and investigates the costs and benefits of the climate change mitigation strategies specified for implementation in the California Global Warming Solutions Act of 2006 (AB 32). Lastly, knowledge gaps, future research priorities, and policy implications are identified. Content Type Journal Article Pages 1-19 DOI 10.1007/s10584-011-0310-7 Authors Seth B. Shonkoff, Department of Environmental Science, Policy, and Management, Division of Society and Environment, University of California, Berkeley, 137 Mulford Hall, MC 3144, Berkeley, CA 94720, USA Rachel Morello-Frosch, Department of Environmental Science, Policy and Management & School of Public Health, University of California, Berkeley, 137 Mulford Hall, MC 3114, Berkeley, CA 94720, USA Manuel Pastor, Departments of Geography and American Studies and Ethnicity, University of Southern California, 3620 S. Vermont Ave, KAP-462, Los Angeles, CA 90089-0255, USA James Sadd, Department of Environmental Science and Geology, Occidental College, 1600 Campus Rd., Los Angeles, CA 90041, USA Journal Climatic Change Online ISSN 1573-1480 Print ISSN 0165-0009

Description:    The tree species composition of a forested landscape may respond to climate change through two primary successional mechanisms: (1) colonization of suitable habitats and (2) competitive dynamics of established species. In this study, we assessed the relative importance of competition and colonization in forest landscape response (as measured by the forest type composition change) to global climatic change. Specifically, we simulated shifts in forest composition within the Boundary Waters Canoe Area of northern Minnesota during the period 2000–2400  AD . We coupled a forest ecosystem process model, PnET-II, and a spatially dynamic forest landscape model, LANDIS-II, to simulate landscape change. The relative ability of 13 tree species to colonize suitable habitat was represented by the probability of establishment or recruitment. The relative competitive ability was represented by the aboveground net primary production. Both competitive and colonization abilities changed over time in response to climatic change. Our results showed that, given only moderate-frequent windthrow (rotation period = 500 years) and fire disturbances (rotation period = 300 years), competition is relatively more important for the short-term (〈100 years) compositional response to climatic change. For longer-term forest landscape response (〉100 years), colonization became relatively more important. However, if more frequent fire disturbances were simulated, then colonization is the dominant process from the beginning of the simulations. Our results suggest that the disturbance regime will affect the relative strengths of successional drivers, the understanding of which is critical for future prediction of forest landscape response to global climatic change. Content Type Journal Article Pages 1-31 DOI 10.1007/s10584-011-0098-5 Authors Chonggang Xu, Division of Earth and Environmental Sciences, Los Alamos National Laboratory, Los Alamos, NM 87544, USA George Z. Gertner, Department of Natural Resources & Environmental Sciences, University of Illinois, W-523 Turner Hall, MC-047, 1102 South Goodwin Ave, Urbana, IL 61801, USA Robert M. Scheller, Environmental Science and Management, Portland State University, P.O. Box 751, Portland, OR 97207, USA Journal Climatic Change Online ISSN 1573-1480 Print ISSN 0165-0009

Description:    This paper explores two issues that have been receiving increasing attention in recent decades, climate change adaptation and natural disaster risk reduction. An examination of the similarities and differences between them reveals important linkages but also significant differences, including the spectrum of threats, time and spatial scales, the importance of local versus global processes, how risks are perceived, and degree of uncertainty. Using a risk perspective to analyze these issues, preferential strategies emerge related to choices of being proactive, reactive, or emphasizing risk management as opposed to the precautionary principle. The policy implications of this analysis are then explored, using Canada as a case study. Content Type Journal Article Pages 1-15 DOI 10.1007/s10584-011-0259-6 Authors David Etkin, Disaster and Emergency Management, Faculty of Liberal Arts and Professional Studies, York University, 4700 Keele St, Toronto, Ontario, Canada M3J 1P3 J. Medalye, Political Science, Faculty of Liberal Arts & Professional Studies, York University, Toronto, Ontario, Canada K. Higuchi, Faculty of Environmental Studies, York University, Toronto, Ontario, Canada Journal Climatic Change Online ISSN 1573-1480 Print ISSN 0165-0009

Description:    Within climate change impact research, the consideration of socioeconomic processes remains a challenge. Socioeconomic systems must be equipped to react and adapt to global change. However, any reasonable development or assessment of sustainable adaptation strategies requires a comprehensive consideration of human-environment interactions. This requirement can be met through multi-agent simulation, as demonstrated in the interdisciplinary project GLOWA-Danube (GLObal change of the WAter Cycle; www.glowa-danube.de ). GLOWA-Danube has developed an integrated decision support tool for water and land use management in the Upper Danube catchment (parts of Germany and Austria, 77,000 km 2 ). The scientific disciplines invoked in the project have implemented sixteen natural and social science models, which are embedded in the simulation framework DANUBIA. Within DANUBIA, a multi-agent simulation approach is used to represent relevant socioeconomic processes. The structure and results of three of these multi-agent models, WaterSupply, Household and Tourism, are presented in this paper. A main focus of the paper is on the development of global change scenarios (climate and society) and their application to the presented models. The results of different simulation runs demonstrate the potential of multi-agent models to represent feedbacks between different water users and the environment. Moreover, the interactive usage of the framework allows to define and vary scenario assumptions so as to assess the impact of potential interventions. It is shown that integrated modelling and scenario design not only provide valuable information, but also offer a platform for discussing complex human-environment-interactions with stakeholders. Content Type Journal Article DOI 10.1007/s11027-010-9274-6 Authors Anja Soboll, Department of Geography, University of Munich, Luisenstrasse 37, 80333 Munich, Germany Michael Elbers, Center for Environmental Systems Research, University of Kassel, Kurt-Wolters-Strasse 3, 34109 Kassel, Germany Roland Barthel, Institute of Hydraulic Engineering, University of Stuttgart, Pfaffenwaldring 7a, 70569 Stuttgart, Germany Juergen Schmude, Department of Geography, University of Munich, Luisenstrasse 37, 80333 Munich, Germany Andreas Ernst, Center for Environmental Systems Research, University of Kassel, Kurt-Wolters-Strasse 3, 34109 Kassel, Germany Ralf Ziller, Institute of Hydraulic Engineering, University of Stuttgart, Pfaffenwaldring 7a, 70569 Stuttgart, Germany Journal Mitigation and Adaptation Strategies for Global Change Online ISSN 1573-1596 Print ISSN 1381-2386

Description:    To avoid dangerous changes to the climate system, the global mean temperature must not rise more than 2 °C from the 19th century level. The German Advisory Council on Global Change recommends maintaining the rate of change in temperature to within 0.2 °C per decade. This paper supposes that a geoengineering option of solar radiation management (SRM) by injecting aerosol into the Earth’s stratosphere becomes applicable in the future to meet those temperature conditions. However, a failure to continue the use of this option could cause a rapid temperature rebound, and thus we propose a principle of SRM use that the temperature conditions must be satisfied even after SRM termination at any time. We present economically optimal trajectories of the amounts of SRM use and the reduction of carbon dioxide (CO 2 ) emissions under our principle by using an economic model of climate change. To meet the temperature conditions described above, the SRM must reduce radiative forcing by slightly more than 1 W/m 2 at most, and industrial CO 2 emissions must be cut by 80 % by the end of the 21st century relative to 2005, assuming a climate sensitivity of 3 °C. Lower-level use of SRM is required for a higher climate sensitivity; otherwise, the temperature will rise faster in the case of SRM termination. Considering potential economic damages of environmental side effects due to the use of SRM, the contribution of SRM would have to be much smaller. Content Type Journal Article Category Original Article Pages 1-26 DOI 10.1007/s11027-012-9414-2 Authors Takanobu Kosugi, College of Policy Science, Ritsumeikan University, 56-1 Toji-in Kitamachi, Kita-ku, Kyoto, 603-8577 Japan Journal Mitigation and Adaptation Strategies for Global Change Online ISSN 1573-1596 Print ISSN 1381-2386

Description:    This paper reviewed 42 studies of how local knowledge contributes to adaptation to climate and climate change in the Asia-Pacific Region. Most studies focused on traditional ecological or indigenous knowledge. Three simple questions were addressed: (1) How are changes in climate recognized? (2) What is known about how to adapt to changes in climate? (3) How do people learn about how to adapt? Awareness of change is an important element of local knowledge. Changes in climate are recognized at multiple time scales from observations that warn of imminent extreme weather through expectations for the next season to identification of multi-year historical trends. Observations are made of climate, its impact on physical resources, and bio-indicators. Local knowledge about how to adapt can be divided into four major classes: land and water management, physical infrastructure, livelihood strategies, and social institutions. Adaptation actions vary with time scale of interest from dealing with risks of disaster from extreme weather events, through slow onset changes such as seasonal droughts, to dealing with long-term multi-year shifts in climate. Local knowledge systems differ in the capacities and ways in which they support learning. Many are dynamic and draw on information from other places, whereas others are more conservative and tightly institutionalized. Past experience of events and ways of learning may be insufficient for dealing with a novel climate. Once the strengths and limitations of local knowledge (like those of science) are grasped the opportunities for meaningful hybridization of scientific and local knowledge for adaptation expand. Content Type Journal Article Pages 1-20 DOI 10.1007/s11027-012-9407-1 Authors Louis Lebel, Unit for Social and Environmental Research, Faculty of Social Sciences, Chiang Mai University, Chiang Mai, 50200 Thailand Journal Mitigation and Adaptation Strategies for Global Change Online ISSN 1573-1596 Print ISSN 1381-2386

Description:    Socio-economic and climatic stresses affect local communities’ vulnerability to flooding. Better incorporation of socio-economic stress in local vulnerability assessments is important when planning for climate adaptation. This is rarely done due to insufficient understanding of their interaction, in both theory and practice. The omission leads to critical weaknesses in local adaptation strategies. This study analyses how socio-economic stress interact with climatic stress and shape local vulnerability to flooding, and how such stress can be more efficiently managed within local government organisations. A framework containing potential stresses was developed and applied to investigate how socio-economic stress affected exposure, sensitivity, and adaptive capacity in two case studies, using interview and group exercise transcripts. Cases consisted of major development projects in two Swedish municipalities, Gothenburg and Lilla Edet. The cases were similarly exposed to climatic stress but differed in socio-economic context, and previous professional climate change experience. Fierce foreign competition and market structure were seen as the two most significant socio-economic stresses influencing local vulnerability to flooding through shaping the ‘local’ worldview. In falling order sensitivity, exposure, and adaptive capacity were seen to be influenced by the socio-economic stresses. Two approaches to efficiently incorporate climatic and socio-economic stress in local management are proposed: shifting the focus of vulnerability assessments towards future sensitivity of people and settlements, rather than on the current infrastructure’s sensitivity, would facilitate their use in planning and by ‘mainstreaming’ adaptation into long-term strategic planning vulnerability would be more dynamically addressed and periodically revised. Content Type Journal Article Category Original Article Pages 1-16 DOI 10.1007/s11027-011-9337-3 Authors Mattias Hjerpe, Centre for Climate Science and Policy Research and Water and Environmental Studies - Department for Thematic Studies, Linköping University, Nya Kåkenhus, SE-601 74 Norrköping, Sweden Erik Glaas, Centre for Climate Science and Policy Research and Water and Environmental Studies - Department for Thematic Studies, Linköping University, Nya Kåkenhus, SE-601 74 Norrköping, Sweden Journal Mitigation and Adaptation Strategies for Global Change Online ISSN 1573-1596 Print ISSN 1381-2386

Description:    Although policymaking in response to the climate change threat is essentially a challenge of risk management, most studies of the relation of emissions targets to desired climate outcomes are either deterministic or subject to a limited representation of the underlying uncertainties. Monte Carlo simulation, applied to the MIT Integrated Global System Model (an integrated economic and earth system model of intermediate complexity), is used to analyze the uncertain outcomes that flow from a set of century-scale emissions paths developed originally for a study by the U.S. Climate Change Science Program. The resulting uncertainty in temperature change and other impacts under these targets is used to illustrate three insights not obtainable from deterministic analyses: that the reduction of extreme temperature changes under emissions constraints is greater than the reduction in the median reduction; that the incremental gain from tighter constraints is not linear and depends on the target to be avoided; and that comparing median results across models can greatly understate the uncertainty in any single model. Content Type Journal Article Pages 1-15 DOI 10.1007/s10584-011-0260-0 Authors Mort Webster, Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, MA, USA Andrei P. Sokolov, Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, MA, USA John M. Reilly, Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, MA, USA Chris E. Forest, Department of Meteorology, Pennsylvania State University, University Park, PA, USA Sergey Paltsev, Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, MA, USA Adam Schlosser, Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, MA, USA Chien Wang, Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, MA, USA David Kicklighter, The Ecosystems Center, Marine Biological Laboratory, Woods Hole, MA, USA Marcus Sarofim, AAAS Science and Technology Policy Fellow, U.S. Environmental Protection Agency, Washington DC, USA Jerry Melillo, The Ecosystems Center, Marine Biological Laboratory, Woods Hole, MA, USA Ronald G. Prinn, Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, MA, USA Henry D. Jacoby, Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, MA, USA Journal Climatic Change Online ISSN 1573-1480 Print ISSN 0165-0009

Description:    Representative Concentration Pathway 6.0 (RCP6) is a pathway that describes trends in long-term, global emissions of greenhouse gases (GHGs), short-lived species, and land-use/land-cover change leading to a stabilisation of radiative forcing at 6.0 Watts per square meter (Wm −2 ) in the year 2100 without exceeding that value in prior years. Simulated with the Asia-Pacific Integrated Model (AIM), GHG emissions of RCP6 peak around 2060 and then decline through the rest of the century. The energy intensity improvement rates changes from 0.9% per year to 1.5% per year around 2060. Emissions are assumed to be reduced cost-effectively in any period through a global market for emissions permits. The exchange of CO 2 between the atmosphere and terrestrial ecosystem through photosynthesis and respiration are estimated with the ecosystem model. The regional emissions, except CO 2 and N 2 O, are downscaled to facilitate transfer to climate models. Content Type Journal Article Pages 1-18 DOI 10.1007/s10584-011-0150-5 Authors Toshihiko Masui, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan Kenichi Matsumoto, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan Yasuaki Hijioka, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan Tsuguki Kinoshita, Ibaraki University, 3-21-1 Chuo, Ami, Ibaraki 300-0393, Japan Toru Nozawa, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan Sawako Ishiwatari, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan Etsushi Kato, Japan Agency for Marine-Earth Science and Technology, 3173-25 Showa-machi, Kanazawa, Yokohama, Kanagawa 236-0001, Japan P. R. Shukla, Indian Institute of Management, Ahmedabad, Vastrapur, Ahmedabad, 380015 India Yoshiki Yamagata, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan Mikiko Kainuma, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan Journal Climatic Change Online ISSN 1573-1480 Print ISSN 0165-0009

Description:    This paper investigates changes in shoreline evolution caused by changes in wave climate. In particular, a number of nearshore wave climate scenarios corresponding to a ‘present’ (1961–1990) and a future time-slice (2071–2100) are used to drive a beach evolution model to determine monthly and seasonal statistics. To limit the number of variables, an idealised shoreline segment is adopted. The nearshore wave climate scenarios are generated from wind climate scenarios through point wave hindcast and inshore transformation. The original wind forcing comes from regional climate change model experiments of different resolutions and/or driving global climate models, representing different greenhouse-gas emission scenarios. It corresponds to a location offshore the south central coast of England. Hypothesis tests are applied to map the degree of evidence of future change in wave and shoreline statistics relative to the present. Differential statistics resulting from different global climate models and future emission scenarios are also investigated. Further, simple, fast, and straightforward methods that are capable of accommodating a great number of climate change scenarios with limited data reduction requirements are proposed to tackle the problem under consideration. The results of this study show that there are statistically significant changes in nearshore wave climate conditions and beach alignment between current and future climate scenarios. Changes are most notable during late summer for the medium-high future emission scenario and late winter for the medium-low. Despite frequent disagreement between global climate change models on the statistical significance of a change, all experiments agreed in future seasonal trends. Finally, a point of importance for coastal management, material shoreline changes are generally linked to significant changes in future wave direction rather than wave height. Content Type Journal Article Pages 1-33 DOI 10.1007/s10584-010-0011-7 Authors Anna Zacharioudaki, CIMA - Centre for Marine and Environmental Research, University of the Algarve, Hidrotec-ISE, Campus da Penha, Faro, 8005-139 Portugal Dominic E. Reeve, School of Marine Science and Engineering, University of Plymouth, Drake Circus, Plymouth, Devon PL4 8AA, UK Journal Climatic Change Online ISSN 1573-1480 Print ISSN 0165-0009