Abstract
To include land-use dynamics in a general circulation model (GCM), the physical system has to be linked to a system that represents socio-economy. This issue is addressed by coupling an integrated assessment model, IMAGE2.2, to an ocean–atmosphere GCM, CNRM-CM3. In the new system, IMAGE2.2 provides CNRM-CM3 with all the external forcings that are scenario dependent: greenhouse gas (GHGs) concentrations, sulfate aerosols charge and land cover. Conversely, the GCM gives IMAGE changes in mean temperature and precipitation. With this new system, we have run an adapted scenario of the IPCC SRES scenario family. We have chosen a single scenario with maximum land-use changes (SRES A2), to illustrate some important feedback issues. Even in this two-way coupled model set-up, land use in this scenario is mainly driven by demographic and agricultural practices, which overpowers a potential influence of climate feedbacks on land-use patterns. This suggests that for scenarios in which socio-economically driven land-use change is very large, land-use changes can be incorporated in GCM simulations as a one-way driving force, without taking into account climate feedbacks. The dynamics of natural vegetation is more closely linked to climate but the time-scale of changes is of the order of a century. Thus, the coupling between natural vegetation and climate could generate important feedbacks but these effects are relevant mainly for multi-centennial simulations.
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References
Alcamo J, Leemans R, Kreileman E (1998) Global modelling of environmental change: an overview of IMAGE 2.1. Global change scenarios of the 21st century. Elsevier, Amsterdam, pp 3–96
Bertrand C, Loutre M, Crucifix M (2002) Climate of the last millennium: a sensitivity study. Tellus 54A:221–244
Botta A, Foley J (2002) Effects of climate variability and disturbances on the Amazonian terrestrial ecosystems dynamics. Global Biogeochem Cycles 16. doi:10.1029/2000GB001338
Bougeault P (1985) A simple parameterization of the large-scale effects of cumulus convection. Mon Weather Rev 113:2108–2121
Bounoua L, DeFries R, Collatz G, Sellers P, Khan H (2002) Effects of land cover conversion on surface climate. Clim Change 52:29–64
Braconnot P, Joussaume S, Marti O, de Noblet P (1999) Synergistic feedbacks from ocean and vegetation on the African Monsoon response to mid-Holocene insolation. Geophys Res Lett 26:2481–2484
Cariolle D, Déqué M (1986) Southern hemisphere medium-scale waves and total ozone disturbances in a spectral general circulation model. J Geophys Res 91:10825–10846
Chase T, Pielke R, Kittel T, Nemani R, Running S (2000) Simulated impacts of historical land cover changes on global climate in northern winter. Clim Dyn 16:93–105
Cox P, Betts R, Jones C, Spall S, Totterdell I (2000) Acceleration of Global warming due to carbon cycle feedbacks in a coupled climate model. Nature 408:184–187
Côté J, Staniforth A (1988) A two-time-level semi-Lagrangian semi-implicit scheme for spectral models. Mon Weather Rev 116:2003–2012
DeFries R, Bounoua L, Collatz G (2002) Human modification of the landscape and surface climate in the next fifty years. Global Change Biol 8:438–458
Delire C, Foley J, Thompson S (2004) Long-term variability in a coupled atmosphere-biosphere model. J Clim 17:3947–3959
Déqué M (1999) Documentation ARPEGE-Climat. CNRM Available from Centre National de Recherches Meteorologiques, Météo-France, Toulouse
Eickhout B, den Elzen M, Kreileman E (2001) The atmospheric ocean system in IMAGE 2.2. National Institute for Public Health and the Environment, Bilthoven, The Netherlands. Tech. Rep. No. 481508017
Feddema J, Oleson K, Bonan G, Mearns L, Washington W, Meehl G, Nychka D (2005a) A comparison of a GCM response to historical anthropogenic land cover change and model sensitivity to uncertainty in present-day land cover representations. Clim Dyn 25:581–609
Feddema J, Oleson K, Bonan G, Mearns L, Buja L, Meehl G, Washington W (2005b) The importance of land-cover change in simulating future climates. Science 310:1674–1678
Fisher G, van Velthuizen H, Nechtergaele F, Medow S (2000) CD-ROM: Global Agro-Ecological Zones. Food and Agriculture Organization of United Nations, Rome, Italy; and International Institute for Applied Systems Analysis, Laxenburg, Austria
Foley J, Prentice I, Ramankutty N, Levis S, Pollard D, Sitch S, Haxeltine A (1996) An integrated biosphere model of land surface processes, terrestrial carbon balance, and vegetation dynamics. Global Biogeochem Cycles 10:603–628
Frich P, Alexander L, Della-Marta P, Gleason B, Haylock M, Klein Tank A (2002) Observed coherent changes in climate extremes during the second half of the twentieth century. Clim Res 19:193–212
Govindasamy B, Duffy P, Caldeira K (2001) Land use changes and northern hemisphere cooling. Geophys Res Lett 28:291–294
Henderson-Sellers A, Dickinson R, Dubridge T, Kennedy P, McGuffie K, Pitman A (1993) Tropical deforestation: modelling local- to regional-scale climate change. J Geophys Res 98:7289–7315
Houghton J, Ding Y, Griggs D, Noguer M, van der Linden P, Dai X, Maskell K, John/son C (2001) Climate Change 2001: The scientific basis. Cambridge University Press, Cambridge
Hulme M, Wigley T, Barrow E, Raper S, Centella A, Smith S, Chipanski A (2000) Using a climate scenario generator for vulnerability and adaptation assessments: MAGICC and SCENGEN version 2.4 workbook. Climate Research Unit, Norwich
Joos F, Bruno M, Fink R, Siegenthaler U, Stocker T, Le Quéré C, Sarmiento J (1996) An efficient and accurate representation of complex oceanic and biospheric models of anthropogenic carbon uptake. Tellus 48B:397–417
Lean J, Rowntree P (1997) Understanding the sensitivity of a GCM simulation of Amazonian deforestation to the specification of vegetation and soil characteristics. J Clim 10:1216–1235
Leemans R, van den Born GJ (1994) Determining the potential global distribution of natural vegetation, crops and agricultural productivity. Wat Air Soil Pollut 76:133–162
Louis JF, Tiedke M, Geleyn JF (1982) A short history of the operational PBL-parameterization at ECMWF. ECMWF Workshop Planetary Boundary Layer Parameterization. ECMWF, Reading, pp 59–80
Madec G, Delecluse P, Imbard M, Lévy C (1997) OPA version 8.0 ocean general circulation model reference manual. LODYC Available from Laboratoire d’Océanographie Dynamique et de Climatologie, IPSL, Paris
Mahfouf J-F, Manzi A, Noilhan J, Giordani H, Déqué M (1995) The land surface scheme ISBA within the Météo-France climate model ARPEGE Part I: implementation and preliminary results. J Clim 8:2039–2057
Masson V, Champeaux JL, Chauvin F, Meriguet C, Lacaze R (2003) A global database of land surface parameters at 1 km resolution in meteorological and climate models. J Clim 16:1261–1282
Matthews H, Weaver A, Meissner K, Gillett N, Eby M (2004) Natural and anthropogenic climate change: incorporating historical land cover change, vegetation dynamics and the global carbon cycle. Clim Dyn 22:461–479. doi:10.1007/s00382-004-0392-2
Morcrette JJ (1990) Impact of changes to the radiation transfer parameterizations plus cloud optical properties in the ECMWF model. Mon Weather Rev 118:847–873
Nakicenovic E, Alcamo J, Davis J, de Vries B, Fenhann J, Gaffin S, Gregory K, Grübler A, Jung Y, Kram T, La Rovere E, Michaelis L, Mori S, Morita T, Pepper W, Pitcher H, Price L, Riahi K, Roehrl A, Rogner H, Sankovski A, Schlesinger M, Shukla P, Smith S, Swart R, van Rooijen S, Victor N, Dadi Z (2001) IPCC Special report on emissions scenarios. Cambridge University Press, Cambridge
Notaro M, Liu Z, Gallimore R, Vavrus S, Kutzbach J (2005) Simulated and observed preindustrial to modern vegetation and climate changes. J Clim 18:3650–3671
Oki T, Sud Y (1998) Design of total runoff integrating pathways (TRIP): a global river channel network. Earth Interactions 2, paper 1
Parmesan C, Root T, Willig M (2000) Impacts of extreme weather and climate on terrestrial biota. Bull Am Meteorol Soc 81:443–450
Pitman A, Zhao M (2000) The relative impact of observed change in land cover and carbon dioxide as simulated by a climate model. Geophys Res Lett 27:1267–1270
Prentice I, Cramer W, Harrison S, Leemans R, Monserud R, Solomon A (1992) A global biome model based on plant physiology and dominance, soil properties and climate. Biogeogr J 19:117–134
Ricard JL, Royer JF (1993) A statistical cloud scheme for use in an AGCM. Ann Geophys 11:1095–1115
Salas-Mélia D (2002) A global coupled sea ice-ocean model. Ocean Mod 4:137–172
Salas-Mélia D, Chauvin F, Déqué M, Douville H, Guérémy J, Marquet P, Planton S, Royer J, Tyteca S (2006) Description and validation of the CNRM-CM3 global coupled model. CNRM, Note de Centre n 103
Schlesinger ME, Malyshev S, Rozanov EV et al (2000) Geographical distributions of temperature change for scenarios of greenhouse gas and sulfur dioxide emissions. Technol Forecasting Soc Change 65:167–193
Seguin B (2005) Impacts sur l’agriculture. Changements climatiques: quels impacts en france?, pp 100–107
Sitch S, Prentice I, Smith B, Cramer W, Kaplan J, Lucht W, Sykes M, Thonike K, Venevsky S (2003) LPJ- A coupled model for vegetation dynamics and the terrestrial carbon cycle. Global Change Biol 9:161–185
Sud Y, Walker G, Kim J, Liston G, Sellers P, Lau W (1996) Biogeophysical consequences of a tropical deforestation scenario: a GCM simulation study. J Clim 9:3225–3247
Taylor C, Lambin E, Stephenne N, Harding R, Essery R (2002a) The influence of land use change on climate in the Sahel. J Clim 15:3615–3629
Taylor C, Lambin E, Stephenne N, Harding R, Essery R (2002b) The influence of land use change on climate in the Sahel. J Clim 15:3615–3629
Terray L, Valcke S, Piacentini A (1998) OASIS 2.2 User’s guide and reference manual. CERFACS, France
Van Minnen JG, Leemans R, Ihle F (2000) Defining the importance of including transient ecosystem responses to simulate C-cycle dynamics in a global change model. Global Change Biol 6:595–612
Voldoire A (2006) Quantifying the impact of future land-use changes against increases in GHG concentrations. Geophys Res Lett 33(4). doi:1029/2005GL024354
Voldoire A, Royer J (2004) Tropical deforestation and climate variability. Clim Dyn 22:857–874. doi:10.1007/s00382-004-0423-z
Wang G, Eltahir E, Foley J, Pollard D, Levis S (2004) Decadal variability of rainfall in the Sahel: results from the coupled GENESIS-IBIS atmosphere-biosphere model. Clim Dyn 22:625–637. doi:10.1007/s00382-004-0411-3
Zhao M, Pitman A (2002) The regional scale impact of land cover change simulated with a climate model. Int J Climatol 22:271–290
Acknowledgments
We wish to thank the anonymous reviewers whose comments and suggestions have greatly improved the paper. This work has been supported by the European Commission Sixth Framework Program (ENSEMBLES contract GOCE-CT-2003-505539).
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Voldoire, A., Eickhout, B., Schaeffer, M. et al. Climate simulation of the twenty-first century with interactive land-use changes. Clim Dyn 29, 177–193 (2007). https://doi.org/10.1007/s00382-007-0228-y
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DOI: https://doi.org/10.1007/s00382-007-0228-y