Impact of climate warming upon the fish assemblages of the Portuguese coast under different scenarios

Impact of sea-surface warming upon the fish assemblages of the Portuguese coast was assessed under two scenarios, the A2 and the B2 scenarios (Special Report on Emission Scenarios), which when coupled with a regional circulation model HadRM3 predict 1 and 2°C of sea-surface warming until the year 2100. Species richness increased in the Portuguese coast. In both scenarios, there was a latitudinal gradient in the amount of lost and gained species, increasing from north to south. An anomaly in the latitudinal gradient of species richness was detected in the southernmost area, which presented the lowest species richness of all areas, in the A2 scenario, and appears to be particularly vulnerable to climate change. Very few species were totally eliminated from Portuguese waters. For the Portuguese coast as a whole, there were more new than lost species, in both scenarios. Most of the new species were commercially important species, in the majority subtropical in the north and tropical in the south, mainly demersal and reef-associated. Reef-associated species also increased in relative importance. A commercial opportunity for fisheries may arise from climate warming, since most of the new species were commercial species and not many commercial species were lost. An increasing gradient from north to south was detected in the colonization of new species of herbivores, planktivores, and omnivores, as well as lower mean trophic level, which might have consequences for the future of trophic webs.     

Using qualitative scenarios to understand regional environmental change in the Canadian North

This paper discusses the application of qualitative scenarios to understand community vulnerability and adaptation responses, based on a case study in the Slave River Delta region of the Northwest Territories, Canada. Three qualitative, graphic scenarios of possible alternative futures were developed, focusing on two main drivers: climate change and resource development. These were used as a focal point for discussions with a cross-section of residents from the community during focus groups, interviews and a community workshop. Significant overlap among the areas of perceived vulnerability is evident among scenarios, particularly in relation to traditional land use. However, each scenario also offers insights about specific challenges facing community members. Climate change was perceived to engender mostly negative livelihood impacts, whereas resource development was expected to trigger a mix of positive and negative impacts, both of which may be more dramatic than in the “climate change only” scenario. The scenarios were also used to identify adaptation options specific to individual drivers of change, as well as more universally applicable options. Identified adaptation options were generally aligned with five sectors—environment and natural resources, economy, community management and development, infrastructure and services, and information and training—which effectively offer a first step towards prioritization of “no regrets” measures. From an empirical perspective, while the scenarios highlighted the need for bottom-up measures, they also elucidated discussion about local agency in adaptation and enabled the examination of multi-dimensional impacts on different community sub-groups. An incongruity emerged between the suite of technically oriented adaptation options and more socially and behaviourally oriented barriers to implementation. Methodologically, the qualitative scenarios were flexible, socially inclusive and consistent with the Indigenous worldview; allowed the incorporation of different knowledge systems; addressed future community vulnerability and adaptation; and led to the identification of socially feasible and bottom-up adaptation outcomes. Despite some caveats regarding resource requirements for participatory scenario development, qualitative scenarios offer a versatile tool to address a range of vulnerability and adaptation issues in the context of other Indigenous communities.     

1.5℃温控目标背景下地球工程对中国不同区域气温影响的预估研究

基于BNU-ESM模式的地球工程(G4实验)和非地球工程(RCP4.5)情景下的2010～2099年中国日值平均气温数据,采用多种数理统计方法,诊断地球工程实施对中国不同区域气温变化的影响。结果表明:(1)2010～2099年两种情景下中国不同区域的年平均气温均呈增加趋势。地球工程实施的2020～2069年,地球工程有效降低了中国不同区域年平均气温的增加趋势。(2)地球工程实施的2020～2069年,中国多数地区的年平均气温降温幅度超过了1.0℃,对《巴黎协定》制定的1.5℃温控目标的实现具有积极推动作用。且地球工程实施结束后的2070～2099年中国不同区域的气温并未出现报复性反弹。(3)2010～2099年两种情景下的中国不同区域年平均气温均发生了突变。地球工程的实施使得中国绝大多数地区的气温突变推迟了11～19 a。(4)基于交叉小波变换的中国不同区域年平均气温序列的高能量波谱区振荡表明,两种情景下的高频年均气温在1～4 a尺度上存在反位相关系,表明地球工程短期内改变了气温变化方向。基于小波相干的中国不同区域年平均气温序列的低能量波谱区振荡表明,地球工程并未从根本改变气温长期变化趋势。     

The impact of government subsidy and tax policy on the competitive decision-making of remanufacturing supply chains

In this paper, we consider a two-period competition model of a remanufacturing supply chain consisting of three members: a new product manufacturer, a recycler and a remanufacturer. The manufacturer supplies new products in the first period and the remanufacturer participates in the competition in the second period. We consider three scenarios in the second period: (1) there is no government subsidy in the competition; (2) there is only government subsidy in the competition; (3) there are both government subsidy and tax in the competition. First, we give the optimal decision-making of the manufacturer, the remanufacturer and the government in the three scenarios; second, we analyse changes in the decision-making of the manufacturer and remanufacturer in the three scenarios and compare their results. We analyse the effects of government subsidy and tax and their asymmetric use on manufacturers’ and remanufacturers’ decision-making variables and competitive performance. We also take consumer awareness of environmental protection into account and examine its impact on subjects’ decisions. Lastly, we operate a numerical example to show the results.     

Global-scale vs. regional-scale scenario assumptions: implications for estimating future water withdrawals in the Elbe River basin

In this paper, we explore how scenarios of future water withdrawals in a river basin are influenced by scale-dependent quantifications of the driving forces for two global-scale storylines. Either global-scale information or region-specific information is used to do the quantifications. In addition, we analyze the impact of including or not some restricted regional-scale information in the employed water use model. To develop scenarios of water withdrawals in the German part of the Elbe River basin, we applied the modules for domestic, thermoelectric power and manufacturing water use of the global water model WaterGAP, using scale-dependent driving forces scenarios and other scale-dependent model input. In the global-scale quantitative interpretations of the storylines of the IPCC SRES scenarios A1 and B2, all major driving forces of water withdrawals in the basin—population, thermoelectric power production and industrial gross domestic product—show vigorous increases between 2000 and 2025, while from the regional perspective, smaller increases but mostly decreases appear to be plausible. These discrepancies are partly due to the fact that for the global-scale interpretations only the historic developments until 1990 were taken into account, and not until 2000 as in the regional case. The resulting scenarios of sectoral water withdrawals in 2025 differ strongly between the two scale-dependent interpretations of the storylines, with the global one leading to much higher absolute water withdrawals and much lower withdrawal decreases between 2000 and 2025. Therefore, for regional assessments of water withdrawals, we recommend to embed the scenario analysis in global-scale storylines by performing regional-scale quantifications of the global qualitative driving forces scenarios, based on a limited amount of region-specific information.     

Relative Assessment of Indicators in Sustainability Enhancement (RAISE): a first approach in the manufacturing stage of products

The estimation of the sustainability performance of products requires tools to provide systematic approaches to the definition of impacts, indicators and comparative scenarios from early design stages. This paper illustrates the Relative Assessment of Indicators in Sustainability Enhancement (RAISE) methodology that is based on the measure of negative impacts generated during any product life cycle stage. This approach includes a systematic process for the definition and evaluation of indicators to compare the sustainability performance of products considering each indicator individually and using a holistic index of sustainability to entail an overall comparison between products from manufacturing scenarios. The RAISE method is developed with the aim of assessing sustainability performance of product life cycle stages and incorporating this assessment into the decision-making process when comparing different manufacturing scenarios. A guitar capo manufactured in polymeric material is used as case study to demonstrate the use of the method. In this paper, only the manufacturing stage is considered; however, the method can also be employed in other stages of the life cycle.     

Model-based scenarios of water use in two semi-arid Brazilian states

Sustainability-oriented water management calls for scenarios of future water use. Model-based qualitative-quantitative scenarios combine the development of story lines and the quantification of driving forces with the application of a water use model. In order to support regional planning in two semi-arid Brazilian states suffering from water scarcity, the water use model NoWUM was applied to derive two reference scenarios of municipality-specific sectorial water uses (irrigation, livestock, household, industry and tourism), and to assess the impact of certain interventions. Until 2025, the extension of irrigation accounts for almost 80% of the additional water withdrawals and for an even higher fraction of consumptive use in both scenarios. Domestic and industrial use increases in regions with high immigration, but water use intensities can be controlled by appropriate water pricing. A significant improvement of the developed scenarios is only possible if better data on water use and its driving forces become available. Electronic Publication     

Investigating the relationship between air pollution, health and social deprivation in Leeds, UK

This study examines the relationship between air pollution, social deprivation and health in the city of Leeds, UK under a baseline and three distance-based road user charging (RUC) scenarios set at 2 pence, 10 pence and 20 pence/km. Through application of a series of linked models of traffic, emission and pollutant dispersion, air quality was modelled in response to RUC scenarios. The pollutant modelled were NO(2), PM(10), CO, benzene and 1,3-butadiene, though results of NO(2) are used in this study. The RUC scenarios were compared with the 'base' scenario, all set for the year 2005. The RUC initiatives result in the differences in ambient concentrations of NO(2). The study correlates NO(2) concentrations with derived indices of social deprivation and health. The study concludes that positive but weak relationship exists between air quality and social deprivation, and indicates that deprived population groups are disproportionately exposed to higher NO(2) levels. The relationship between air quality and health status of the population is weak. There is a strong relationship between social deprivation and health status of the population. The study concludes that RUC scenarios result in reducing disparity between affluent and deprived populations.     

GCM-based analysis of water availability along the Tone River and Tokyo Metropolitan Area under climatic changes

Tone River supplies most of the water requirements of the Tokyo Metropolitan Area (TMA). Lowering of Tone flow and yearly fluctuation, however, is causing water shortage along TMA nowadays. This study investigated the future water availability scenarios under climatic changes. A state-of-the-art approach to utilize the output of several GCM has been demonstrated to investigate the future water availability scenarios for TMA from the Tone River. An integrated modeling approach for water balance considering several hydrological risk indices was adopted to quantify the future changes in this case. It is observed that the future summer precipitation along the Tone basin is going to be increased considerably, while an almost constant or decreasing trend is observed for winter season. Natural flow availability for winter or spring seasons thus can be crucial under future scenarios. After reservoir routing, the hydrological risk indices estimated, however, were not found to be changed significantly due to the presence of a robust reservoir system at the upstream.     

LUCC及气候变化对李仙江流域径流的影响

为揭示李仙江流域LUCC和气候变化对径流变化的影响,基于SWAT模型,通过设置不同情景,定量分析了不同土地利用类型和气候要素对流域内径流的影响,并结合RCP4.5、RCP8.5两种气候情景对流域未来径流的变化进行了预估。结果显示：(1) SWAT模型在李仙江流域径流模拟中具有很好的适用性,可以用SWAT模型进行流域的径流模拟,率定期的模型参数R2、Ens分别达到0.74、0.73,验证期的模型参数R2、Ens分别达到0.63、0.63;(2) 单一土地利用情景显示,将农业用地转化为林地或草地,均会导致流域径流量的减少,而将林地转化为草地则会引起流域径流量的增加,农业用地、林地、草地三者对径流增加贡献顺序为农业用地＞草地＞林地。(3) 2006~2015年间李仙江流域的LUCC引起的月均径流增加幅度小于气候变化引起的月均径流减少幅度,李仙江径流的变化由气候变化主导。(4) 在RCP4.5和RCP8.5两种气候情景下,2021~2050年间李仙江流域径流均呈减少趋势,减少的速率分别为3.6和2.15亿m³/10 a,这与1971~2015年间,流域实测径流减速为6.7亿m³/10 a的变化趋势一致,但这两种情景下,径流的减少趋势有所降低,分别为1971~2015年减速的53.7%、32.1%。     

Prediction of the fate of radioactive material in the South Pacific Ocean using a global high-resolution ocean model

We investigate the release of radioactive contaminants from Moruroa Atoll in a global high-resolution off-line model. The spread of tracer is studied in a series of simulations with varying release depths and time-scales, and into ocean velocity fields corresponding to long-term annual mean, seasonal, and interannually varying scenarios. In the instantaneous surface release scenarios we find that the incorporation of a seasonal cycle greatly influences tracer advection, with maximum concentrations still found within the French Polynesia region after 10 years. In contrast, the maximum trace is located in the southeast Pacific when long-term annual mean fields are used. This emphasizes the importance of the seasonal cycle in models of pollution dispersion on large scales. We further find that during an El Ni?o/Southern Oscillation (ENSO) event reduced currents in the region of Moruroa Atoll result in increased concentrations of radioactive material in French Polynesia, as direct flushing from the source is reduced. In terms of the sensitivity to tracer release time-rates, we find that a gradual input results in maximum concentrations in the near vicinity of French Polynesia. This contrasts the instantaneous-release scenarios, which see maximum concentrations and tracer spread across much of the South Pacific Ocean. For example, in as little as seven years radioactive contamination can reach the east coast of Australia diluted by only a factor of 1,000 of the initial concentration. A comparison of results is made with previous studies. Overall, we find much higher concentrations of radionuclides in the South Pacific than has previously been predicted using coarser-resolution models.     

Effectiveness of protected areas in the Colombian Andes: deforestation, fire and land-use changes

Protected areas (PAs) are one of the most common conservation strategies to halt biodiversity loss. However, little is known about their current effectiveness and how they could behave under projected scenarios of change, especially in the mountain ecosystems of the Andean region. In this study, we assess the role of protected areas against deforestation and fire incidence in the Colombian Andes and how variables associated with biophysical and context drivers such as the size, year of creation and geographic location of the PAs affect their effectiveness. For the long-term, we have addressed the question of how effective these areas will be under three different scenarios of change for the period between 2020 and 2050, including a reference scenario and two scenarios of increasing pastureland and croplands. The results obtained indicated that both deforestation and fire levels were significantly lower inside protected areas than outside their borders. Concerning variables affecting deforestation and fire, only the type of ecosystem affected these processes in this study. The magnitude of forest loss was different between the analysed scenarios and depended on the location of the PAs. The PAs located in the Western Mountain Range presented the largest values of deforestation but the lowest number of fire incidences. This finding could be related to the presence of processes other than fire, such as illegal logging or selective extraction. The largest losses are expected in the PAs associated with the Eastern and Central mountain ranges, whereas the Western Mountain range will have the lowest loss. We conclude that although the Andes Mountains are a highly transformed and dynamic region, the current PAs have been effective barriers for deforestation and fire. However, the creation of new areas and the maintenance of the current PAs should take into account the interaction with the surrounding population, especially in those areas that are more sensitive to change.     

Downscaling nonclimatic drivers for surface water vulnerabilities in the Elbe river basin

Aggregated consideration of both climate and socio-economic change in a coarse spatial resolution is a central feature for scenario development in global change research. Downscaling of the supposed aggregated changes is a necessary prerequisite for the assessments of global change at the regional scale. The present paper describes the method and results of an approach to develop and to apply scenarios of socio-economic change at a sub-national level, which are consistent with global change scenarios. National and regional models of economic and demographic development are used to regionalise drivers of socio-economic change. Scenario results are subsequently applied in order to analyse the impacts of socio-economic and climatic changes on water management issues in the Elbe river basin. Starting from global IPCC-Emissions Scenarios and taking up their key points, we formulate two scenarios for the German and Czech parts of the Elbe catchment areas. We present a system of demographic and economic models, designed to consistently project socio-economic developments at a national and sub-national level and, thus, to quantitatively illustrate our scenarios. The results show that in a scenario that assumes continued globalisation and emphasis on economic growth, export orientation will result in a comparatively high share of manufacturing. Growth spreads from centres to peripheral regions. Still, at the national level, the increase in population and employment will be modest and create little additional pressure, but water stress will be considerably stronger on a regional basis, namely in metropolitan areas such as Prague, Berlin and Hamburg. In a scenario where economic goals are balanced with ecologic and social ones, growth is weaker and the weight of the service sector increases more rapidly, thus easing the driving forces for overall water demand and pollution. However, as in this scenario regional metropolitan centres develop at the cost of peripheral regions, regional development is more selective and the driving forces for potential water stress will diverge spatially.     

Uncertainty in the difference between maps of future land change scenarios

It is essential to measure whether maps of various scenarios of future land change are meaningfully different, because differences among such maps serve to inform land management. This paper compares the output maps of different scenarios of future land change in a manner that contrasts two different approaches to account for the uncertainty of the simulated projections. The simpler approach interprets the scenario storyline concerning the quantity of each land change transition as assumption, and then considers the range of possibilities concerning the value added by a simulation model that specifies the spatial allocation of land change. The more complex approach estimates the uncertainty of future land maps based on a validation measurement with historic data. The technique is illustrated by a case study that compares two scenarios of future land change in the Plum Island Ecosystems of northeastern Massachusetts, in the United States. Results show that if the model simulates only the spatial allocation of the land changes given the assumed quantity of each transition, then there is a clearly bounded range for the difference between the raw scenario maps; but if the uncertainties are estimated by validation, then the uncertainties can be so great that the output maps do not show meaningful differences. We discuss the implications of these results for a future research agenda of land change modeling. We conclude that a productive approach is to use the simpler method to distinguish clearly between variations in the scenario maps that are due to scenario assumptions versus variations due to the simulation model.     

A study of the impacts of climate change on the geographic distribution of Pinus koraiensis in China.

The climatic conditions and elevation of the potential distribution area of Korean pine (Pinus koraiensis Sieb. et Zucc) in China were determined by an ecological information system GREEN that has been developed by [Yan H, Booth TH, Zuo H, editors. GREEN--a climatic mapping program for China and its use in forestry. In: Matching trees and sites, ACIAR Proceedings No. 63. Australia: ACIAR, 1996]. The potential distribution areas of this tree species under current and predicted climatic conditions were mapped using IDRISI GIS. Based on the averages of rainfall and temperature predicted by 5 GCMs (GISS, NCAR, OSU, UKMO and MPI, i.e., an "averaged" model) and a new model HadCM2 for 2030, predictions were made on the future distributions of Korean pine. The result shows that the southern boundary of the potential distribution area of Korean pine will have a northward shift of 0.1 degrees to 0.6 degrees in latitude, and the northern boundary will have a northward shift of 0.3 degrees to 0.5 degrees, resulting in an expansion of the potential distribution area by 3.4% according to the average of the five models. However, the distribution areas will be decreased by 12.1% and 44.9% according to the scenarios predicted by HadCM2, which assumes annual increments of CO2 concentrations of 0.5% and 1%, respectively. The authors concluded that if the thresholds were properly selected the actual distribution and potential distribution of a tree species might agree. The projected distribution under changed climatic conditions depends on the GCM scenarios applied. Different GCM scenarios may sometimes give opposite conclusions, as in the case of Korean pine projected by the "averaged" and HadCM2 models.     

Potential impacts of early twenty-first century changes in temperature and precipitation on rainfed annual crops in the Central Andes of Peru

Smallholder agriculture in the Central Andes of Peru is based to large extent on rainfed cropping systems, is exposed to climatic risks and is expected to respond sensitively to increasing temperatures and shifts in the precipitation regime. Here, we examine the potential implications of early twenty-first century climate change scenarios for the cultivation of potato, maize, wheat, barley and broad bean, five annual crops that account for 50 % of the cultivated area in the Department of Cusco and Apurímac and provide the dietary backbone for a large share of the local population. The scenarios disclose a regionally coherent increase in temperature of the order of 1 °C but overall only moderate changes in growing season precipitation by 2030. A simple crop model is used to assess the effects of these changes on crop phenology and development. The results show earlier harvest dates, shorter cropping seasons and, in a few cases, a slightly higher risk of planting failure in the near future. This suggests that a better understanding of changes in the precipitation regime at the onset of the cropping season is required to evaluate short-term needs and possibilities for adaptation. However, as the scenarios are highly uncertain, these conclusions should be verified.     

FORIA: Forest Impact Analysis. An interactive decision support software providing information on the secondary effects of radiological countermeasures applied in forests.

FORIA (Forest Impact Analysis) is a decision support software that provides a synthesis of published information pertaining to the application of radiological countermeasures in forests and the secondary impacts that may result from their application. By linking relevant key parameters describing the forest environment and its social and economic roles, with information on the effects of countermeasures on a range of forest features, the potential secondary impacts of the countermeasures are indicated. User inputs refine this generic system to reveal the potential secondary effects of selected countermeasures for specific forest scenarios. FORIA has an Eastern European focus but is applicable to all forest scenarios.     

Accelerating urban sprawl in depopulating regions: a scenario analysis for the Elbe River Basin

The paper presents a method and results for the generation of future residential land use scenarios for the Elbe River Basin. The challenge of this study is to develop scenarios that consider two processes, accelerated urban sprawl in growth centres while peripheral regions are depopulating. The question is whether the demand for built-up areas can be reduced to achieve the objective of the German sustainability strategy. Current socioeconomic developments of the study area are described, and approaches to calculate residential land use demand are reviewed. Regionalised socioeconomic scenarios of the IPCC-SRES as well as households and housing forecasts are applied to calculate residential land demand for regions. The Land Use Scanner, a spatially explicit land use change model, is then used to allocate the demand on grid-cells within the spatial planning units. The results show a shift of residential developments from urban areas in general to agglomerations leading to a polarisation of developments. Residential land consumption can only be minimised to achieve the sustainable development goals if a strict land use policy with the implementation of higher building densities, activation of inner city quarters and application of effective planning instruments is followed.     

中国区域低碳发展的情景分析——以江苏省为例

本文以江苏省为例,旨在对我国地方层面的低碳经济发展(目标年为2020年)进行探讨,并通过设定基准情景(BAU),低碳经济政策情景(LES),以及进一步推进低碳发展的国际合作与技术转移情景(ICS)三种政策情景对江苏省未来中长期能源需求与二氧化碳排放强度进行分析,提出我国地方层面实现2020年二氧化碳减排目标所需要的发展路径与对策.研究表明,在地方和区域层面上实现2020年二氧化碳排放强度在2005年的基础上降低40%-45%的目标是有可能的,通过采取发展低碳经济的相关措施,到2020年,江苏省的能源需求将比基准情景减少28%,二氧化碳排放强度将在2007年的基础上削减50%,而通过积极参与国际合作和国际间的技术转移,将有可能将二氧化碳排放强度在2007年的基础上削减52%左右.