Tailor-made scenario planning for local adaptation to climate change

This paper presents a tailor-made scenario approach for climate change adaptation planning, which emphasises involvement of stakeholders in the development of socioeconomic scenarios and relates to the planning situation and interest of the planning entity. The method was developed and tested in case studies in three different sectors in Sweden (the health sector, the tourism sector and water resource management). The result of the case studies is that the tailor-made scenario approach facilitated the engagement of the local planning body in climate change adaptation and helped them to analyse consequences and possible solutions in a structured way. However, the scenarios that emerged mainly focused on socioeconomic drivers on which the planning body had a large impact or drivers that can be influenced through cooperation with other actors at the local or regional level. While this result underlines the need for local stakeholder involvement in scenario processes, it also indicates a local bias that could be remedied by a stronger representation of national and global perspectives in the scenario development process. Finally, we discuss how a “bottom-up” approach could be combined with a “consistency” approach, which points towards a possible way forward to a hybrid methodology that is compatible with the scenario framework currently being developed in connection to the fifth assessment report of the IPCC.     

The impact of climate change mitigation on water demand for energy and food: An integrated analysis based on the Shared Socioeconomic Pathways

Climate change mitigation, in the context of growing population and ever increasing economic activity, will require a transformation of energy and agricultural systems, posing significant challenges to global water resources. We use an integrated modelling framework of the water-energy-land-climate systems to assess how changes in electricity and land use, induced by climate change mitigation, impact on water demand under alternative socioeconomic (Shared Socioeconomic Pathways) and water policy assumptions (irrigation of bioenergy crops, cooling technologies for electricity generation). The impacts of climate change mitigation on cumulated global water demand across the century are highly uncertain, and depending on socioeconomic and water policy conditions, they range from a reduction of 15,000 km³ to an increase of more than 160,000 km³. The impact of irrigation of bioenergy crops is the most prominent factor, leading to significantly higher water requirements under climate change mitigation if bioenergy crops are irrigated. Differences in socioeconomic drivers and fossil fuel availability result in significant differences in electricity and bioenergy demands, in the associated electricity and primary energy mixes, and consequently in water demand. Economic affluence and abundance of fossil fuels aggravate pressures on water resources due to higher energy demand and greater deployment of water intensive technologies such as bioenergy and nuclear power. The evolution of future cooling systems is also identified as an important determinant of electricity water demand. Climate policy can result in a reduction of water demand if combined with policies on irrigation of bioenergy, and the deployment of non-water-intensive electricity sources and cooling types.     

An integrated assessment of regional air pollution and climate change in Europe: findings of the AIR-CLIM Project

This paper presents results of an assessment of the linkages between regional air pollution and climate change in Europe (the AIR-CLIM Project). The main research tool was an integrated modeling framework and the main product was a consistent set of long-term scenarios covering Europe between 1995 and 2100. Scenarios consisted of trends in emissions, acid deposition, nitrogen deposition and climate change. Critical loads and critical levels were used to assess the impacts of deposition to forest soils and a new analogous concept of “critical climate change” was developed to assess the impacts of climate change. Taking into consideration the limitations of the scope and models used in the study, preliminary conclusions were: (1) regional air pollution and climate change may be fairly weakly coupled in the natural environment, i.e. climate change was not found to have a large impact on the sensitivity of forest ecosystems to regional air pollution, nor on the distribution of deposition; nor did regional air pollution (in the form of sulfate aerosols) have a significant impact on climate change in Europe; (2) however, regional air pollution and climate change may be strongly coupled in the “policy” environment. It was estimated that virtually all of Europe at mid-century might be affected by either regional air pollution or climate change, or both, and this will require a strong policy response. Moreover, the indirect effects of climate policies were found to reduce the costs of controlling air pollution emissions by more than 50%, suggesting a strong potential financial linkage between policies to reduce greenhouse gas and air pollution emissions.     

土地利用/覆盖变化与气候变化定量关系研究进展

当前,以全球变暖为主要特征的气候变化对人类社会的可持续发展构成了严重威胁,如何有效适应气候变化成为人类面临的共同挑战。研究表明,全球变暖的主要驱动力是人类活动造成的温室气体排放和土地利用方式改变。过去,科学界致力于削减全球温室气体排放,而土地利用与气候变化的关系,以及如何适应气候变化,没有引起足够重视。论文重点阐述土地利用/覆盖变化对区域气候的生物地球物理影响机制,总结土地利用/覆盖与气候变化定量关系的研究进展,得出现阶段研究存在四点不足:①缺乏景观格局与气候过程关系的认识;②较少考虑人类活动对下垫面的影响;③区域气候模式存在局限;④适应气候变化的研究不足。针对上述问题,论文指出基于可持续性的土地系统设计是适应气候变化的有效途径,也是未来气候变化领域的研究重点。     

Simulating climate change impacts and potential adaptations on rice yields in the Sichuan Basin,China

Rice (Oryza) is a staple food in China, and rice yield is inherently sensitive to climate change. It is of great regional and global importance to understand how and to what degree climate change will impact rice yields and to determine the adaptation options effectiveness for mitigating possible adverse impacts or for taking advantage of beneficial changes. The objectives of this study are to assess the climate change impact, the carbon dioxide (CO₂) fertilization effect, and the adaptation strategy effectiveness on rice yields during future periods (2011–2099) under the newly released Representative Concentration Pathway (RCP) 4.5 scenario in the Sichuan Basin, one of the most important rice production areas of China. For this purpose, the Crop Estimation through Resource and Environment Synthesis (CERES)-Rice model was applied to conduct simulation, based on high-quality meteorological, soil and agricultural experimental data. The modeling results indicated a continuing rice reduction in the future periods. Compared to that without incorporating of increased CO₂ concentration, a CO₂ fertilization effect could mitigate but still not totally offset the negative climate change impacts on rice yields. Three adaptive measures, including advancing planting dates, switching to current high temperature tolerant varieties, and breeding new varieties, could effectively offset the negative climate change impacts with various degrees. Our results will not only contribute to inform regional future agricultural adaptation decisions in the Sichuan Basin but also gain insight into the mechanism of regional rice yield response to global climate change and the effectiveness of widely practiced global thereby assisting with appropriate adaptive strategies.     

Moving towards ambitious climate policies: Monetised health benefits from improved air quality could offset mitigation costs in Europe

Air quality and related health effects are not only affected by policies directly addressed at air pollution but also by other environmental strategies such as climate mitigation. This study addresses how different climate policy pathways indirectly bear upon air pollution in terms of improved human health in Europe. To this end, we put in perspective mitigation costs and monetised health benefits of reducing PM_2.5 (particles less than 2.5 μm in diameter) and ozone concentrations.Air quality in Europe and related health impacts were assessed using a comprehensive modelling chain, based on global and regional climate and chemistry-transport models together with a health impact assessment tool. This allows capturing both the impact of climate policy on emissions of air pollutants and the geophysical impact of climate change on air quality.Results are presented for projections at the 2050 horizon, for a set of consistent air pollution and climate policy scenarios, combined with population data from the UN's World Population Prospects, and are expressed in terms of morbidity and mortality impacts of PM_2.5 and ozone pollution and their monetised damage equivalent.The analysis shows that enforcement of current European air quality policies would effectively reduce health impacts from PM_2.5 in Europe even in the absence of climate policies (life years lost from the exposure to PM_2.5 decrease by 78% between 2005 and 2050 in the reference scenario), while impacts for ozone depend on the ambition level of international climate policies. A move towards stringent climate policies on a global scale, in addition to limiting global warming, creates co-benefits in terms of reduced health impacts (68% decrease in life years lost from the exposure to PM_2.5 and 85% decrease in premature deaths from ozone in 2050 in the mitigation scenario relative to the reference scenario) and air pollution cost savings (77%) in Europe. These co-benefits are found to offset at least 85% of the additional cost of climate policy in this region.     

气候变化对中国黄淮海农业区小麦生产影响模拟研究

研究首先利用1980-2000年黄淮海农业区10个站点的农业数据对CER ES-W heat动态机理作物模型进行详细的验证,然后将CERESW-heat模型与两个全球气候模式(G ISS和H adley)结合,同时考虑到CO2对小麦的直接施肥作用,模拟了黄淮海农业区10个站点在IPCC SR ES A 2和B2两个气候情景下雨养和灌溉小麦产量和水分利用的变化趋势。得到如下结论:在不考虑CO2直接肥效的情况下,黄淮海农业区雨养小麦全面减产,空间分布特点是西部减产幅度大,东部减产幅度小;在充分灌溉的情况下,灌溉小麦产量维持了现有水平,但灌溉水量增加。因此,在未来该地区水资源短缺的情况下,如何合理利用有限的水资源将成为黄淮海农业区主要面临的问题。在考虑CO2直接肥效的情况下,雨养和灌溉小麦产量都全面增产,雨养小麦的增产幅度明显偏高,灌溉小麦约增产10%～30%,但CO 2的肥效能否充分实现还需要进一步研究证明。     

Identifying water resources management strategies in adaptation to climate change under uncertainty

In this study, an integrated simulation-based allocation modeling system (ISAMS) is developed for identifying water resources management strategies in response to climate change. The ISAMS incorporates global climate models (GCMs), a semi-distributed land use-based runoff process (SLURP) model, and a multistage interval-stochastic programming (MISP) approach within a general framework. The ISAMS can not only handle uncertainties expressed as probability distributions and interval values but also reveal climate change impacts on water resources allocation under different projections of GCMs. The ISAMS is then applied to the Kaidu-kongque watershed with cold arid characteristics in the Tarim River Basin (the largest inland watershed basin in China) for demonstrating its efficiency. Results reveal that different climate change models corresponding to various projections (e.g., precipitation and temperature) would lead to changed water resources allocation patterns. Variations in water availability and demand due to uncertainties could result in different water allocation targets and shortages. A variety of decision alternatives about water allocations adaptive to climate change are generated under combinations of different global climate models and ecological water release plans. These findings indicate that understanding the uncertainties in water resources system, building adaptive methods for generating sustainable water allocation patterns, and taking actions for mitigating water shortage problems are key adaptation strategies responding to climate change.     

Implications of climate change on mitigation potential estimates for forest sector in India

Climate change is projected to impact forest ecosystems, including biodiversity and Net Primary Productivity (NPP). National level carbon forest sector mitigation potential estimates are available for India; however impacts of projected climate change are not included in the mitigation potential estimates. Change in NPP (in gC/m²/yr) is taken to represent the impacts of climate change. Long term impacts of climate change (2085) on the NPP of Indian forests are available; however no such regional estimates are available for short and medium terms. The present study based on GCM climatology scenarios projects the short, medium and long term impacts of climate change on forest ecosystems especially on NPP using BIOME4 vegetation model. We estimate that under A2 scenario by the year 2030 the NPP changes by (−5) to 40% across different agro-ecological zones (AEZ). By 2050 it increases by 15% to 59% and by 2070 it increases by 34 to 84%. However, under B2 scenario it increases only by 3 to 25%, 3.5 to 34% and (−2.5) to 38% respectively, in the same time periods. The cumulative mitigation potential is estimated to increase by up to 21% (by nearly 1 GtC) under A2 scenario between the years 2008 and 2108, whereas, under B2 the mitigation potential increases only by 14% (646 MtC). However, cumulative mitigation potential estimates obtained from IBIS—a dynamic global vegetation model suggest much smaller gains, where mitigation potential increases by only 6% and 5% during the period 2008 to 2108.     

Identifying robust response options to manage environmental change using an Ecosystem Approach: A stress-testing case study for the UK XXX

A diverse range of response options was evaluated in terms of their utility for sustaining ecosystem services in the UK. Robustness of response options was investigated by applying a ‘stress-testing’ method which evaluated expected performance against combined scenarios of socioeconomic and climate change. Based upon stakeholder feedback, a reference scenario representing current trends in climate and socioeconomic drivers (‘business-as-usual’) was used as a dynamic baseline against which to compare results of other scenarios. The robustness of response options was evaluated by their utility in different environmental and social contexts as represented by the scenarios, and linked to their adaptability to adjust to changing conditions. Key findings demonstrate that adaptability becomes increasingly valuable as the magnitude and rate of future change diverges from current trends. Stress-testing also revealed that individual responses in isolation are unlikely to be robust meaning there are advantages from integrating cohesive combinations (bundles) of response options to maximise their individual strengths and compensate for weaknesses. This identifies a role for both top-down and bottom-up responses, including regulation, spatial targeting, incentives and partnership initiatives, and their use in combination through integrated assessment and planning consistent with the adoption of an Ecosystem Approach. Stress-testing approaches can have an important role in future-proofing policy appraisals but important knowledge gaps remain, especially for cultural and supporting ecosystem services. Finally, barriers and enablers to the implementation of more integrated long-term adaptive responses were identified drawing on the ‘4 Is’ (Institutions, Information, Incentives, Identity) conceptual framework. This highlighted the crucial but usually understated role of identity in promoting ownership and uptake of responses.     

Vulnerability of Indian mustard (<Emphasis Type="Italic">Brassica juncea</Emphasis> (L.) Czernj. Cosson) to climate variability and future adaptation strategies

A simulation study has been carried out using the InfoCrop mustard model to assess the impact of climate change and adaptation gains and to delineate the vulnerable regions for mustard (Brassica juncea (L.) Czernj. Cosson) production in India. On an all India basis, climate change is projected to reduce mustard grain yield by ～2 % in 2020 (2010–2039), ～7.9 % in 2050 (2040–2069) and ～15 % in 2080 (2070–2099) climate scenarios of MIROC3.2.HI (a global climate model) and Providing Regional Climates for Impact Studies (PRECIS, a regional climate model) models, if no adaptation is followed. However, spatiotemporal variations exist for the magnitude of impacts. Yield is projected to reduce in regions with current mean seasonal temperature regimes above 25/10 °C during crop growth. Adapting to climate change through a combination of improved input efficiency, additional fertilizers and adjusting the sowing time of current varieties can increase yield by ～17 %. With improved varieties, yield can be enhanced by ～25 % in 2020 climate scenario. But, projected benefits may reduce thereafter. Development of short-duration varieties and improved crop husbandry becomes essential for sustaining mustard yield in future climates. As climatically suitable period for mustard cultivation may reduce in future, short-duration (<130 days) cultivars with 63 % pod filling period will become more adaptable. There is a need to look beyond the suggested adaptation strategy to minimize the yield reduction in net vulnerable regions.     

Social Vulnerability to Climate Change and the Architecture of Entitlements

The objective of this paper is to outline a conceptual model of vulnerability to climate change as the first step in appraising and understanding the social and economic processes which facilitate and constrain adaptation. Vulnerability as defined here pertains to individuals and social groups. It is the state of individuals, of groups, of communities defined in terms of their ability to cope with and adapt to any external stress placed on their livelihoods and well-being. This proposed approach puts the social and economic well-being of society at the centre of the analysis, thereby reversing the central focus of approaches to climate impact assessment based on impacts on and the adaptability of natural resources or ecosystems and which only subsequently address consequences for human well-being. The vulnerability or security of any group is determined by the availability of resources and, crucially, by the entitlement of individuals and groups to call on these resources. This perspective extends the concept of entitlements developed within neo-classical and institutional economics. Within this conceptual framework, vulnerability can be seen as a socially-constructed phenomenon influenced by institutional and economic dynamics. The study develops proxy indicators of vulnerability related to the structure of economic relations and the entitlements which govern them, and shows how these can be applied to a District in coastal lowland Vietnam. This paper outlines the lessons of such an approach to social vulnerability for the assessment of climate change at the global scale. We argue that the socio-economic and biophysical processes that determine vulnerability are manifest at the local, national, regional and global level but that the state of vulnerability itself is associated with a specific population. Aggregation from one level to another is therefore not appropriate and global-scale analysis is meaningful only in so far as it deals with the vulnerability of the global community itself.     

Sensitivity of future ozone concentrations in the northeast USA to regional climate change

An air quality modeling system was used to simulate the effects on ozone concentration in the northeast USA from climate changes projected through the end of the twenty-first century by the National Center for Atmospheric Research’s (NCAR’s) parallel climate model, a fully coupled general circulation model, under a higher and a lower scenario of future global changes in concentrations of radiatively active constituents. The air quality calculations were done with both a global chemistry-transport model and a regional air quality model focused on the northeast USA. The air quality simulations assumed no changes in regional anthropogenic emissions of the chemical species primarily involved in the chemical reactions of ozone creation and destruction, but only accounted for changes in the climate. Together, these idealized global and regional model simulations provide insights into the contribution of possible future climate changes on ozone. Over the coming century, summer climate is projected to be warmer and less cloudy for the northeast USA. These changes are considerably larger under the higher scenario as compared with the lower. Higher temperatures also increase biogenic emissions. Both mean daily and 8-h maximum ozone increase from the combination of three factors that tend to favor higher concentrations: (1) higher temperatures change the rates of reactions and photolysis rates important to the ozone chemistry; (2) lower cloudiness (higher solar radiation) increases the photolysis reaction rates; and (3) higher biogenic emissions increase the concentration of reactive species. Regional model simulations with two cumulus parameterizations produce ozone concentration changes that differ by approximately 10%, indicating that there is considerable uncertainty in the magnitude of changes due to uncertainties in how physical processes should be parameterized in the models. However, the overall effect of the climate changes simulated by these models – in the absence of reductions in regional anthropogenic emissions – would be to increase ozone concentrations.     

Long-term,consistent scenarios of emissions,deposition, and climate change in Europe

The aim of this study was to develop consistent scenarios of emissions, climate change and regional air pollution to enable an integrated analysis of the linkage between climate change and regional air pollution in Europe. An integrated modeling framework was developed for this purpose. The framework integrates state-of-the-art models and concepts from the area of climate change and regional air pollution and was supplemented by new modules (e.g. modeling long-term NH₃ emissions in Europe, modeling dispersion and transformation of air pollutants under climate change).Consistent climate and air pollution policies were derived, both driven by the desire to achieve certain environmental goals. According to an analysis of scenarios with various combinations of climate and regional air pollution policies the quantitatively most relevant interactions are the effect of climate change policies on the energy mix and the resulting air pollution emissions. In the long-term the global SO₂ emissions are expected to decrease (again), accordingly their effect on climate will be minor. Tentatively it can be concluded that for regional air pollution the development of the air pollutant emissions is more important than the effect of climate change on the dispersion and chemical transformation of air pollutants.     

Integrated modelling approaches to analysis of climate change impacts on forests and forest management

This paper reviews integrated economic and ecological models that address impacts and adaptation to climate change in the forest sector. Early economic model studies considered forests as one out of many possible impacts of climate change, while ecological model studies tended to limit the economic impacts to fixed price-assumptions. More recent studies include broader representations of both systems, but there are still few studies which can be regarded fully integrated. Full integration of ecological and economic models is needed to address forest management under climate change appropriately. The conclusion so far is that there are vast uncertainties about how climate change affects forests. This is partly due to the limited knowledge about the global implications of the social and economical adaptation to the effects of climate change on forests.     

全球气候变化下的中国粮食安全问题研究

粮食是人类生存的基础,保障粮食安全是“2030年可持续发展议程”的重要目标之一。论文基于粮食系统视角,从全球气候变化对粮食系统的作用、保障粮食安全对全球气候变化的影响,以及应对全球气候变化的粮食安全适应性策略出发,揭示粮食安全与全球气候变化的相互作用,系统梳理全球气候变化下的中国粮食安全问题。研究结果表明：1）全球气候变化导致粮食系统不确定性增加,且对中国粮食生产的影响加剧;2）粮食需求是全球气候变化的主要驱动力,粮食生产要素的重新配置加剧了全球气候变化;3）多尺度有机结合应对全球气候变化保障粮食安全需在微观上“藏粮于技”实现提质增效,在中观上“藏粮于地”注重生态建设,在宏观上坚持市场为主导完善粮食政策体系。全球气候变化背景下,保障粮食安全研究呈现从单一学科、单一维度、单一手段向依靠多学科开展多尺度、多要素、系统综合集成研究保障粮食安全转变,从高碳粮食系统向低碳高效粮食系统转变的趋势。     

A world model of the pulp and paper industry: Demand,energy consumption and emission scenarios to 2030

This article introduces a bottom-up global model of the pulp and paper sector (PULPSIM) with a focus on energy consumption and carbon emissions. It is an annual recursive simulation behavioural model with a 2030 time horizon incorporating several technological details of the industry for 47 world regions. The long time horizon and the modular structure allow the model users to assess the effects of different environmental, energy and climate policies in a scenario comparison setup. In addition to the business as usual developments of the sector, a climate commitment scenario has been analysed, in which the impacts of changing forest management practices are also included. The climate scenario results reveal that there is a significant carbon reduction potential in the pulp and paper making, showing a number of specific features: the central role of the fibrous resource inputs and the potential impact of increased waste wood and black liquor based heat generation.     

系统动力学在空港区域规划环境影响评价中的应用

作为机场与城市间的过渡区,空港区域具有经济-社会-环境发展影响因素众多、变化快的特征.针对此,本文基于空港区域系统动力学模拟模型,结合类比法和情景分析法,用于空港区域不同发展方案的经济、社会、环境影响预测和评价.具体步骤包括:发展分析-影响识别-模型构建-零方案/规划方案模拟-替代方案设计-减缓措施,各步骤间动态反馈.对郑州航空港区进行案例研究,结果表明,相较于零方案,规划方案具有经济社会发展优、污染排放少的优点,但仍无法满足环境容量要求;设计了3种替代情景方案,据此提出产业结构优化、能源结构调整等减缓措施.     

Emissions associated with meeting the future global wheat demand: A case study of UK production under climate change constraints

Climate change, population growth and socio-structural changes will make meeting future food demands extremely challenging. As wheat is a globally traded food commodity central to the food security of many nations, this paper uses it as an example to explore the impact of climate change on global food supply and quantify the resulting greenhouse gas emissions. Published data on projected wheat production is used to analyse how global production can be increased to match projected demand. The results show that the largest projected wheat demand increases are in areas most likely to suffer severe climate change impacts, but that global demand could be met if northern hemisphere producers exploit climate change benefits to increase production and narrow their yield gaps. Life cycle assessment of different climate change scenarios shows that in the case of one of the most important wheat producers (the UK) it may be possible to improve yields with an increase of only 0.6% in the emission intensity per unit of wheat produced in a 2 °C scenario. However, UK production would need to rise substantially, increasing total UK wheat production emissions by 26%. This demonstrates how national emission inventories and associated targets do not incentivise minimisation of global greenhouse gas emissions while meeting increased food demands, highlighting a triad of challenges: meeting the rising demand for food, adapting to climate change and reducing emissions.     

Vulnerability of land systems to fire: Interactions among humans,climate, the atmosphere,and ecosystems

Fires are critical elements in the Earth System, linking climate, humans, and vegetation. With 200–500 Mha burnt annually, fire disturbs a greater area over a wider variety of biomes than any other natural disturbance. Fire ignition, propagation, and impacts depend on the interactions among climate, vegetation structure, and land use on local to regional scales. Therefore, fires and their effects on terrestrial ecosystems are highly sensitive to global change. Fires can cause dramatic changes in the structure and functioning of ecosystems. They have significant impacts on the atmosphere and biogeochemical cycles. By contributing significantly to greenhouse gas (e.g., with the release of 1.7–4.1 Pg of carbon per year) and aerosol emissions, and modifying surface properties, they affect not only vegetation but also climate. Fires also modify the provision of a variety of ecosystem services such as carbon sequestration, soil fertility, grazing value, biodiversity, and tourism, and can hence trigger land use change. Fires must therefore be included in global and regional assessments of vulnerability to global change. Fundamental understanding of vulnerability of land systems to fire is required to advise management and policy. Assessing regional vulnerabilities resulting from biophysical and human consequences of changed fire regimes under global change scenarios requires an integrated approach. Here we present a generic conceptual framework for such integrated, multidisciplinary studies. The framework is structured around three interacting (partially nested) subsystems whose contribute to vulnerability. The first subsystem describes the controls on fire regimes (exposure). A first feedback subsystem links fire regimes to atmospheric and climate dynamics within the Earth System (sensitivity), while the second feedback subsystem links changes in fire regimes to changes in the provision of ecological services and to their consequences for human systems (adaptability). We then briefly illustrate how the framework can be applied to two regional cases with contrasting ecological and human context: boreal forests of northern America and African savannahs.