Cross-sectoral impacts of climate change and socio-economic change for multiple, European land- and water-based sectors

Climatic Change

Volumn 128, Issue 3-4, 2015, Pages 279-292

  Harrison, P A ^a   Dunford, R ^a   Savin, C ^b   Rounsevell, M D A ^c   Holman, I P ^d   Kebede, A S ^e   Stuch, B ^f  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b Tiamasg Foundation Foundation   (Romania)

^c UNIVERSITY OF EDINBURGH   (United Kingdom)

^d CRANFIELD UNIVERSITY   (United Kingdom)

^e UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^f UNIVERSITY OF KASSEL   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURAL ROBOTS; BIODIVERSITY; CLIMATE MODELS; DECISION MAKING; ECONOMIC AND SOCIAL EFFECTS; ECONOMICS; FORESTRY; IRRIGATION; LAND USE; URBAN GROWTH; WATER SUPPLY;

ADAPTATION STRATEGIES; CLIMATE CHANGE IMPACT; INTEGRATED ASSESSMENT MODELS; IRRIGATION WATER USE; NUMBER OF PEOPLES; POSSIBLE FUTURES; SOCIO-ECONOMIC CHANGE; URBAN DEVELOPMENT;

CLIMATE CHANGE;

CLIMATE CHANGE; CLIMATE EFFECT; DECISION MAKING; ENVIRONMENTAL ASSESSMENT; GROSS DOMESTIC PRODUCT; LAND MANAGEMENT; LAND USE CHANGE; REGIONAL PLANNING; SOCIOECONOMIC CONDITIONS; URBAN DEVELOPMENT;

AGRICULTURE; BIODIVERSITY; E I S; EUROPE; FORESTS; SEASONAL VARIATION;

EUROPE;

EID: 84921905737     PISSN: 01650009     EISSN: 15731480     Source Type: Journal    
DOI: 10.1007/s10584-014-1239-4     Document Type: Article

References (39)

1. Alcamo J, Flörke M, Märker M (2007) Future long-term changes in global water resources driven by socio-economic and climatic changes. Hydrol Sci J 52:247–275
2. Audsley E, Trnka M, Sabaté S, Sanchez A (2014) Interactive modelling of land profitability to estimate European agricultural and forest land use under future scenarios of climate, socio-economics and adaptation. Clim Chang. doi:10.1007/s10584-014-1164-6
3. Barthel R, Reichenau TG, Krimly T et al (2012) Integrated modeling of global change impacts on agriculture and groundwater resources. Water Resour Manag 26:1929–1951
4. Baruffi F, Cisotto A, Cimolino A et al (2012) Climate change impact assessment on Veneto and Friuli plain groundwater. Part I: an integrated modeling approach for hazard scenario construction. Sci Total Environ 440:154–166
5. Bergh J, Freeman M, Sigurdsson B et al. (2003) Modelling the short-term effects of climate change on the productivity of selected tree species in Nordic countries. Forest Ecology and Management 183:327–340
6. Brown C, Brown E, Murray-Rust D et al (2014) Analysing uncertainties in climate change impact assessment across sectors and scenarios. Clim Chang. doi:10.1007/s10584-014-1133-0
7. Busch G (2006) Future European agricultural landscapes – what can we learn from existing quantitative land use scenario studies? Agric Ecosyst Environ 114:121–140
8. Carter TR, Jones RN, Lu X et al (2007) New asessment methods and the characterisation of future conditions. In: Parry ML, Canziani OF, Palutikof JP, van der Linden PJ, Hanson CE (eds) Climate change 2007: impacts, adaptation and vulnerability. Cambridge University Press, Cambridge, pp 133–171
9. Dubrovsky M, Trnka M, Svobodova E, Dunford R, Holman IP (this volume) Developing a reduced-form ensemble of climate change scenarios for Europe and its application to selected impact indicators. Clim Change (under review)
10. Dunford R, Smith A, Harrison PA, Hanganu D, (2014) Ecosystem service provision in a changing Europe: adapting to the impacts of combined climate and socio-economic change, Landscape Ecology (under review)
11. Dunford R, Harrison PA, Jager J, Rounsevell MDA, Tinch R (2014b) Exploring climate change vulnerability across sectors and scenarios using indicators of impacts and coping capacity. Clim Chang. doi:10.1007/s10584-014-1162-8
12. Gramberger M, Zellmer K, Kok K, Metzger M (this volume) Stakeholder Integrated Research (STIR): A new approach tested in climate change adaptation research. Clim Change doi: 10.1007/s10584-014-1225-x
13. Harrison PA, Berry PM, Henriques C, Holman IP (2008) Impact of socio-economic and climate change scenarios on wetlands: linking water resource and biodiversity meta-models. Clim Chang 90:113–139
14. Harrison PA, Holman IP, Cojocaru G et al (2013) Combining qualitative and quantitative understanding for exploring cross-sectoral climate change impacts, adaptation and vulnerability in Europe. Reg Environ Chang 13:761–780
15. Harrison PA, Holman IP, Berry, PM (this volume) Assessing cross-sectoral climate change impacts, vulnerability and adaptation: An Introduction to the CLIMSAVE project. Clim Change (Editorial)
16. Hertel TW (2011) The global supply and demand for agricultural land in 2050: a perfect storm in the making? Am J Agric Econ 93:259–275
17. Hibbard KA, Janetos AC (2013) The regional nature of global challenges: a need and strategy for integrated regional modelling. Clim Chang 118:565–577
18. Holman IP, Rounsevell MDA, Shackley S et al (2005) A regional, multi-sectoral and integrated assessment of the impacts of climate and socio-economic change in the UK: II results. Clim Chang 71:43–73
19. Holman IP, Rounsevell MDA, Berry PM, Nicholls RJ (2008a) Development and application of participatory integrated assessment software to support local/regional impact and adaptation assessment. Clim Chang 90:1–4
20. Holman IP, Rounsevell MDA, Cojacaru G et al (2008b) The concepts and development of a participatory regional integrated assessment tool. Clim Chang 90:5–30
21. Holman I, Cojocaru G, Harrison PA (2013) Guidance report describing the final version of the CLIMSAVE Integrated Assessment Platform. Available from http://www.climsave.eu/climsave/doc/Report_on_the_Final_IA_Platform.pdf, Accessed 29/7/2014
22. Jäger J, Rounsevell MDA, Harrison PA et al. (this volume) Assessing policy robustness of climate change adaptation measures. Clim Change (under review)
23. Kebede AS, Dunford R, Mokrech M et al. (this volume) The sensitivity of key European sectors to cross-sectoral impacts of climate and socio-economic drivers. Clim Change (under review)
24. Keith DA, Akçakaya HR, Thuiller W et al (2008) Predicting extinction risks under climate change: coupling stochastic population models with dynamic bioclimatic habitat models. Biol Lett 4:560–563
25. Kirshen P, Ruth M, Anderson W (2008) Interdependencies of urban climate change impacts and adaptation strategies: a case study of metropolitan Boston USA. Clim Chang 86:105–122
26. Kovats S, Valentini R, Bouwer LM et al. (2014) IPCC AR5 Chapter 23, Europe, online resource available at http://ipcc-wg2.gov/AR5/images/uploads/WGIIAR5-Chap23_FGDall.pdf, Accessed 29/7/2014
27. Lehner B, Döll P, Alcamo J et al (2006) Estimating the impact of global change on flood and drought risks in Europe: a continental, integrated analysis. Clim Chang 75:273–299
28. Lobell DB, Field CB, Cahill KN, Bonfils C (2006) Impacts of future climate change on California perennial crop yields: Model projections with climate and crop uncertainties. Agricultural and Forest Meteorology 141:208–218
29. Lorenzoni I, Jordan A, Hulme M et al (2000) A co-evolutionary approach to climate change impact assessment: Part I. Integrating socio-economic and climate change scenarios. Glob Environ Chang: Hum Policy Dimens 10:57–68
30. Moss RH, Edmonds JA, Hibbard KA et al (2010) The next generation of scenarios for climate change research and assessment. Nature 463:747–756
31. Nicholls RJ, Tol RS (2006) Impacts and responses to sea-level rise: a global analysis of the SRES scenarios over the twenty-first century. Philos Trans R Soc A Math Phys Eng Sci 364:1073–1095
32. Rasche L, Fahse L, Bugmann H (2013) Key factors affecting the future provision of tree-based forest ecosystem goods and services. Clim Chang. doi:10.1007/s10584-012-0664-5
33. Rounsevell MDA, Metzger MJ (2010) Developing qualitative scenario storylines for environmental change assessment. Wiley Interdiscip Rev Clim Chang 1:606–619
34. Rounsevell MDA, Berry PM, Harrison PA (2006) Future environmental change impacts on rural land use and biodiversity: a synthesis of the ACCELERATES project. Environ Sci Pol 9(2):93–100
35. Rounsevell MDA, Arneth A, Alexander P et al (2013) Towards decision-based global land use models for improved understanding of the Earth system. Earth Syst Dyn Discus 4:1–51
36. Soussana JF, Graux AI, Tubiello FN (2010) Improving the use of modelling for projections of climate change impacts on crops and pastures. J Exp Bot 61:2217–2228
37. van Vuuren DP, Carter TR (2014) Climate and socio-economic scenarios for climate change research and assessment: reconciling the new with the old. Clim Chang 122:415–425
38. van Vuuren DP, Isaac M, Kundzewicz ZW et al (2011) The use of scenarios as the basis for combined assessment of climate change mitigation and adaptation. Glob Environ Chang 21:575–591
39. Xiong W, Holman I, Lin E et al (2010) Climate change, water availability and future cereal production in China. Agric Ecosyst Environ 135:58–69