Extensive components overview

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All components of the IMAGE framework per type, i.e. driver components; pressure components; state components; impact components and response components, including key publications and flowcharts.

An overview of the IMAGE framework DPSIR classification
An overview of the IMAGE framework DPSIR classification

Click on the flowchart to open the flowchart page.

Driver components

ComponentMain PublicationsFlowchart
  • IPCC (2000). Special report on emissions scenarios, Cambridge University Press, Cambridge, UK.
  • MA (2005). Ecosystems and human well-being: Scenarios, Carpenter, S.R.Pingali, P.Bennet, E.M.Zurek, M.B. (eds.), Millennium Ecosystem Assessment, Island Press, Washington D.C., 2.
  • OECD (2012). OECD Environmental outlook to 2050: The consequences of inaction, OECD Publishing, Paris, France.
    Link to PBL-website: http://www.pbl.nl/en/publications/2012/oecd-environmental-outlook-to-2050.

Pressure components

ComponentMain PublicationsFlowchart
Agricultural economy
Energy conversion
Energy demand
Energy supply
Forest management
  • E.J.M.M. Arets, P.J. van der Meer, C.C. Verwer, G.M. Hengeveld, G.W. Tolkamp, G.J. Nabuurs, M. van Oorschot (2011). Global wood production : assessment of industrial round wood supply from forest management systems in different global regions, Alterra Wageningen UR.
Land-use allocation

Interaction components

ComponentMain PublicationsFlowchart
Land cover and land use

State components

ComponentMain PublicationsFlowchart
Atmospheric composition and climate
Carbon cycle and natural vegetation
  • C. Müller, E. Stehfest, J. G. Van Minnen, B. Strengers, W. Von Bloh, A. H. W. Beusen, S. Schaphoff, T. Kram, W. Lucht (2016). Drivers and patterns of land biosphere carbon balance reversal. Environmental Research Letters, 11(4), doi: http://dx.doi.org/10.1088/1748-9326/11/4/044002.
  • S. Sitch, B. Smith, I.C. Prentice, A. Arneth, A. Bondeau, W. Cramer, J.O. Kaplan, S. Levis, W. Lucht, M.T. Sykes, K. Thonicke, S. Venevsky (2003). Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Global Change Biology, 9(2), pp. 161-185.
Crops and grass
  • A. Bondeau, P. C. Smith, S. Zaehle, S. Schaphoff, W. Lucht, W. Cramer, D. Gerten, H. Lotze-Campen, C. Müller, M. Reichstein, B. Smith (2007). Modelling the role of agriculture for the 20th century global terrestrial carbon balance. Global Change Biology, 13(3), pp. 679-706.
  • K. Waha, L.G.J. van Bussel, C. Müller, A. Bondeau (2012). Climate-driven simulation of global crop sowing dates. Global Ecology and Biogeography, 21(2), pp. 247-259, doi: http://dx.doi.org/10.1111/j.1466-8238.2011.00678.x.
  • H Biemans, I Haddeland, P Kabat, F Ludwig, RWA Hutjes, J Heinke, W Von Bloh, D Gerten (2011). Impact of reservoirs on river discharge and irrigation water supply during the 20th century. Water Resources Research, 47(3), pp. W03509, doi: http://dx.doi.org/10.1029/2009WR008929.
  • H. Biemans (2012). Water constraints on future food production.Earth System Science.Ph.D thesis.Wageningen University.The Netherlands.
  • D. L. Bijl, P. W. Bogaart, T. Kram, B. J. M. de Vries, D. P. van Vuuren (2016). Long-term water demand for electricity, industry and households. Environmental Science and Policy, 55, pp. 75-86, doi: http://dx.doi.org/10.1016/j.envsci.2015.09.005.
  • D.L. Bijl, H. Biemans, P.W. Bogaart, S.C. Dekker, J.C. Doelman, E. Stehfest, D.P. van Vuuren (2018). A Global Analysis of Future Water Deficit Based On Different Allocation Mechanisms. Water Resources Research, 54(8), pp. 5803-5824, doi: http://dx.doi.org/10.1029/2017WR021688.
  • Lotte de Vos, Hester Biemans, Jonathan C Doelman, Elke Stehfest and Detlef P van Vuuren (2021). Trade-offs between water needs for food, utilities, and the environment—a nexus quantification at different scales. Environmental Research Letters, 16(11), doi: http://dx.doi.org/https://doi.org/10.1088/1748-9326/ac2b5e.
  • D. Gerten, S. Schaphoff, U. Haberlandt, W. Lucht, S. Sitch (2004). Terrestrial vegetation and water balance - hydrological evaluation of a dynamic global vegetation model. Journal of Hydrology, 286(1-4), pp. 249-270, doi: http://dx.doi.org/10.1016/j.jhydrol.2003.09.029.
  • J. Jägermeyr, D. Gerten, J. Heinke, S. Schaphoff, M. Kummu, and W. Lucht (2015). Water savings potentials of irrigation systems: global simulation of processes and linkages. Hydrology and Earth System Sciences, 19, pp. 3073–3091, doi: http://dx.doi.org/https://doi.org/10.5194/hess-19-3073-2015.
  • Sibyll Schaphoff, Werner von Bloh, Anja Rammig, Kirsten Thonicke, Hester Biemans, Matthias Forkel, Dieter Gerten, Jens Heinke, Jonas Jägermeyr, Jürgen Knauer, Fanny Langerwisch, Wolfgang Lucht, Christoph Müller, Susanne Rolinski, and Katharina Waha (2018). LPJmL4 – a dynamic global vegetation model with managed land – Part 1: Model description. Geoscientific Model Development, 11, pp. 1343–1375, doi: http://dx.doi.org/https://doi.org/10.5194/gmd-11-1343-2018.

Impact component

ComponentMain PublicationsFlowchart
Aquatic biodiversity
  • Alkemade, R., Janse, J.H., Van Rooij, W., Trisurat, Y. (2011). Applying GLOBIO at different geographical levels. In: Trisurat, Y., Shrestha, R.P., Alkemade, R. (eds.), Land Use, Climate change and biodiversity modeling: perspectives and applications. IGI Global, Hershey (PA), USA, pp. 150-170.
  • J.H. Janse, J.J. Kuiper, M.J. Weijters, E.P. Westerbeek, M.H.J.L. Jeuken, R. Alkemade, J. T. A. Verhoeven (2013). GLOBIO-aquatic, a global model of human impact on the biodiversity of inland aquatic ecosystems. Submitted, available on request.
Ecosystem services
Flood risks
  • P. J. Ward, B. Jongman, F. Sperna Weiland, A. A. Bouwman, R. van Beek, M.F.P. Bierkens, W. Ligtvoet, H. C. Winsemius (2013). Assessing flood risk at the global scale: model setup, results, and sensitivity. Environmental Research Letters, 8, pp. 8044019, doi: http://dx.doi.org/10.1088/1748-9326/8/4/044019.
  • H. C. Winsemius, L. P. H. Van Beek, B. Jongman, P. J. Ward, A. A. Bouwman (2012). A framework for global river flood risk assessments. Hydrology and Earth System Sciences Discussions, 9(8), pp. 9611-9659.
Human development
Land degradation
  • R.M. Hootsmans, A.F. Bouwman, R. Leemans, G.J.J. Kreileman (2001). Modelling land degradation in IMAGE 2, National Institute of Public Health and the Environment, Bilthoven, the Netherlands(URL: http://www.pbl.nl/en/publications/2001/Modelling_land_degradation_in_IMAGE_2).
  • J. J. Stoorvogel, M. Bakkenes, A.J.A.M. Temme, N.H. Batjes, B.J.E. ten Brink (2017). S-World: A Global Soil Map for Environmental Modelling. Land Degradation and Development, 28(1), pp. 22-33, doi: http://dx.doi.org/10.1002/ldr.2656.
  • J.J. Stoorvogel (2014). S-world: A global map of soil properties for modeling. In: D. ArrouaysN. McKenzeyJ. HempelA.C. Richer de ForgesA. McBratney (eds.), GlobalSoilMap, basis of the global spatial soil information system. Taylor & Francis Group, London, UK, pp. 227-231.
  • R. van Beek (2012). Estimating soil hydraulic properties for reconstructed maps of historic land use using pedotransfer functions, Utrecht University (Internal report), The Netherlands.
Terrestrial biodiversity

Response components

ComponentMain PublicationsFlowchart
Air pollution and energy policies
Climate policy
Land and biodiversity policies No key references defined.

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