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:    Gross primary productivity (GPP) is a major component of carbon exchange between the atmosphere and terrestrial ecosystems and a key component of the terrestrial carbon cycle. Because of the large spatial heterogeneity and temporal dynamics of ecosystems, it is a challenge to estimate GPP accurately at global or regional scales. The 8-day MODerate resolution Imaging Spectroradiometer (MODIS) GPP product provides a near real time estimate of global GPP. However, previous studies indicated that MODIS GPP has large uncertainties, partly caused by biases in parameterization and forcing data. In this study, MODIS GPP was validated using GPP derived from the eddy covariance flux measurements at five typical forest sites in East Asia. The validation indicated that MODIS GPP was seriously underestimated in these forest ecosystems of East Asia, especially at northern sites. With observed meteorological data, fraction of photosynthetically active radiation absorbed by the plant canopy (fPAR) calculated using smoothed MODIS leaf area index, and optimized maximum light use efficiency ( ε max ) to force the MOD17 algorithm, the agreement between predicted GPP and tower-based GPP was significantly improved. The errors of MODIS GPP in these forest ecosystems of East Asia were mainly caused by uncertainties in ε max , followed by those in fPAR and meteorological data. The separation of canopy into sunlit and shaded leaves, for which GPP is individually calculated, can improve GPP simulation significantly. Content Type Journal Article Category Special Feature: Original Article Pages 1-10 DOI 10.1007/s10310-012-0369-7 Authors Mingzhu He, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, 901 Mengminwei Building, 22 Hankou Road, Nanjing, 210093 China Yanlian Zhou, School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, 210093 China Weimin Ju, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, 901 Mengminwei Building, 22 Hankou Road, Nanjing, 210093 China Jingming Chen, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, 901 Mengminwei Building, 22 Hankou Road, Nanjing, 210093 China Li Zhang, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101 China Shaoqiang Wang, Qianyanzhou Ecological Experimental Station, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101 China Nobuko Saigusa, Center for Global Environmental Research, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, 305-8506 Japan Ryuichi Hirata, Center for Global Environmental Research, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, 305-8506 Japan Shohei Murayama, Research Institute for Environmental Management Technology, National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba West, 16-1 Onogawa, Tsukuba, 305-8569 Japan Yibo Liu, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, 901 Mengminwei Building, 22 Hankou Road, Nanjing, 210093 China Journal Journal of Forest Research Online ISSN 1610-7403 Print ISSN 1341-6979

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:    A method for obtaining a relative deer population density index with low cost and effort is urgently needed in wildlife protection areas that need their own deer management guidelines. We recorded the number of deer sighted during our daily trips on forest roads by car in Ashiu Forest at Kyoto University, Japan, beginning in 2006. We used generalized additive mixed models (GAMMs) to estimate among-year trends in the number of deer sighted. We applied models for the total number of deer (TND), number of adults (NA), and number of fawns (NF) sighted, which included both current-year and 1-year-old fawns. Full models included the terms of year (2007, 2008, 2009, and 2010), weather (fine, cloudy, and rain/snow), and nonlinear effects of season (date) and time (time). The optimal GAMMs for TND, NA, and NF did not include the effect of weather but included those of time, date, and year. The detected among-year trends in deer population may be influenced by differences in snow environments among the years. The modeling of road count data using GAMM quantitatively determined among-year variation in the number of deer sighted. This trend was similar to that of the population density estimated using a block count survey conducted in Ashiu Forest. Content Type Journal Article Category Original Article Pages 1-7 DOI 10.1007/s10310-012-0379-5 Authors Inoue Mizuki, Laboratory of Forest Science, Faculty of Bioresource Sciences, Akita Prefectural University, Akita, 010-0195 Japan Shota Sakaguchi, Laboratory of Forest Biology, Graduate School of Agriculture, Kyoto University, Kyoto, Japan Keitaro Fukushima, Field Science Education and Research Center, Kyoto University, Kyoto, Japan Masaru Sakai, Graduate School of Global Environmental Studies, Kyoto University, Kyoto, Japan Atsushi Takayanagi, Laboratory of Forest Biology, Graduate School of Agriculture, Kyoto University, Kyoto, Japan Daisuke Fujiki, Institute of Natural and Environment Science, University of Hyogo, Tanba, Japan Michimasa Yamasaki, Laboratory of Forest Biology, Graduate School of Agriculture, Kyoto University, Kyoto, Japan Journal Journal of Forest Research Online ISSN 1610-7403 Print ISSN 1341-6979