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Bucharest, Romania

Harrison P.A.,University of Oxford | Holman I.P.,Cranfield University | Cojocaru G.,TIAMASG Foundation | Kok K.,Wageningen University | And 4 more authors.
Regional Environmental Change | Year: 2013

Climate change will affect all sectors of society and the environment at all scales, ranging from the continental to the national and local. Decision-makers and other interested citizens need to be able to access reliable science-based information to help them respond to the risks of climate change impacts and assess opportunities for adaptation. Participatory integrated assessment (IA) tools combine knowledge from diverse scientific disciplines, take account of the value and importance of stakeholder 'lay insight' and facilitate a two-way iterative process of exploration of 'what if's' to enable decision-makers to test ideas and improve their understanding of the complex issues surrounding adaptation to climate change. This paper describes the conceptual design of a participatory IA tool, the CLIMSAVE IA Platform, based on a professionally facilitated stakeholder engagement process. The CLIMSAVE (climate change integrated methodology for cross-sectoral adaptation and vulnerability in Europe) Platform is a user-friendly, interactive web-based tool that allows stakeholders to assess climate change impacts and vulnerabilities for a range of sectors, including agriculture, forests, biodiversity, coasts, water resources and urban development. The linking of models for the different sectors enables stakeholders to see how their interactions could affect European landscape change. The relationship between choice, uncertainty and constraints is a key cross-cutting theme in the conduct of past participatory IA. Integrating scenario development processes with an interactive modelling platform is shown to allow the exploration of future uncertainty as a structural feature of such complex problems, encouraging stakeholders to explore adaptation choices within real-world constraints of future resource availability and environmental and institutional capacities, rather than seeking the 'right' answers. © 2012 The Author(s). Source


Harrison P.A.,University of Oxford | Dunford R.,University of Oxford | Savin C.,TIAMASG Foundation | Rounsevell M.D.A.,University of Edinburgh | And 3 more authors.
Climatic Change | Year: 2014

Understanding cross-sectoral impacts is important in developing appropriate adaptation strategies to climate change, since such insight builds the capacity of decision-makers to understand the full extent of climate change vulnerability, rather than viewing single sectors in isolation. A regional integrated assessment model that captures interactions between six sectors (agriculture, forests, biodiversity, water, coasts and urban) was used to investigate impacts resulting from a wide range of climate and socio-economic scenarios. Results show that Europe will be significantly influenced by these possible future changes with between 79 and 91 % of indicator-scenario combinations found to be statistically significantly different from the baseline. Urban development increases in most scenarios across Europe due to increases in population and sometimes GDP. This has an indirect influence on the number of people affected by a 1 in 100 year flood which increases in western and northern Europe. Changes in other land uses (intensive farming, extensive farming, forests and unmanaged land) vary depending on the scenario, but food production generally increases across Europe at the expense of forest area and unmanaged land to satisfy increasing food demand. Biodiversity vulnerability and water exploitation both increase in southern and Eastern Europe due to direct effects from climate and indirect effects from changes in land use and irrigation water use. The results highlight the importance of considering non-climatic pressures and cross-sectoral interactions to fully capture climate change impacts at the regional scale. © 2014, Springer Science+Business Media Dordrecht. Source


Wimmer F.,University of Kassel | Audsley E.,Cranfield University | Malsy M.,University of Kassel | Savin C.,TIAMASG Foundation | And 4 more authors.
Climatic Change | Year: 2014

Future renewable water resources are likely to be insufficient to meet water demand for human use and minimum environmental flow requirements in many European regions. Hence, fair and equitable water allocation to different water use sectors and environmental needs is important for climate change adaptation in order to reduce negative effects on human well-being and aquatic ecosystems. We applied a system of coupled sectoral metamodels of water availability and water use in the domestic, manufacturing industry, electricity generation, and agricultural sectors to simulate the effects of generic water allocation schemes (WAS) at the European level. The relative performance of WAS in balancing adverse impacts on the water use sectors and aquatic ecosystems was analysed for an ensemble of 16 scenarios for the 2050s, which were built from the combination of four socio-economic scenarios, developed in the CLIMSAVE project, and four climate projections based on IPCC A1. The results indicate that significant physical water shortages may result from climate and socio-economic change in many regions of Europe, particularly in the Mediterranean. In the energy sector, average annual water demand can largely be met even in water allocation schemes that deprioritise the sector. However, prioritisation of agricultural water demand has significant adverse impacts on the domestic and manufacturing industry sectors. Cross-sectoral impacts were found to be lowest if at least one of the domestic and manufacturing sectors is assigned higher priority than agriculture. We conclude that adapting spatial patterns of water-intensive activities to renewable water availability across Europe, such as shifting irrigated agriculture to less water-stressed basins, could be an effective demand-side adaptation measure, and thus a candidate for support through EU policy. © 2014, Springer Science+Business Media Dordrecht. Source


Kebede A.S.,University of Southampton | Dunford R.,University of Oxford | Mokrech M.,University of Houston-Clear Lake | Audsley E.,Cranfield University | And 14 more authors.
Climatic Change | Year: 2015

Integrated cross-sectoral impact assessments facilitate a comprehensive understanding of interdependencies and potential synergies, conflicts, and trade-offs between sectors under changing conditions. This paper presents a sensitivity analysis of a European integrated assessment model, the CLIMSAVE integrated assessment platform (IAP). The IAP incorporates important cross-sectoral linkages between six key European land- and water-based sectors: agriculture, biodiversity, flooding, forests, urban, and water. Using the IAP, we investigate the direct and indirect implications of a wide range of climatic and socio-economic drivers to identify: (1) those sectors and regions most sensitive to future changes, (2) the mechanisms and directions of sensitivity (direct/indirect and positive/negative), (3) the form and magnitudes of sensitivity (linear/non-linear and strong/weak/insignificant), and (4) the relative importance of the key drivers across sectors and regions. The results are complex. Most sectors are either directly or indirectly sensitive to a large number of drivers (more than 18 out of 24 drivers considered). Over twelve of these drivers have indirect impacts on biodiversity, forests, land use diversity, and water, while only four drivers have indirect effects on flooding. In contrast, for the urban sector all the drivers are direct. Moreover, most of the driver–indicator relationships are non-linear, and hence there is the potential for ‘surprises’. This highlights the importance of considering cross-sectoral interactions in future impact assessments. Such systematic analysis provides improved information for decision-makers to formulate appropriate adaptation policies to maximise benefits and minimise unintended consequences. © 2015, Springer Science+Business Media Dordrecht. Source


Brown C.,University of Edinburgh | Brown E.,University of Edinburgh | Murray-Rust D.,University of Edinburgh | Cojocaru G.,TIAMASG Foundation | And 3 more authors.
Climatic Change | Year: 2014

Many models have been developed to explore the likely consequences of climate change. These models tend to focus on single physical or socio-economic sectors and their processes, and neglect the many feedbacks that occur between the different components of the real world. To overcome this problem, models are increasingly being combined in integrated assessment platforms (IAPs), of which the CLIMSAVE IAP is an example, modelling cross-sectoral impacts, adaptation and vulnerability to climate change in Europe by combining 10 different meta-models that focus on specific sectors. Where models are combined in this way, however, attention must be given to the potential errors and uncertainties that integration might introduce. We present a quantitative uncertainty analysis of selected outputs of the CLIMSAVE IAP based on creating and sampling from probability density functions (PDFs) of each of the IAP’s input variables to take account of model and scenario uncertainty. We find limited uncertainties in aggregate outputs of the IAP, which allow specific impacts to be predicted with definable levels of confidence. However, we also find substantial overlap between different socio-economic scenarios at the European scale, suggesting that changes to socio-economic conditions cannot reliably overcome climate-related uncertainty. Nevertheless, there is evidence that particular adaptation actions may significantly alter the impacts of climate change, especially at local or national scales. © 2014, Springer Science+Business Media Dordrecht. Source

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