Articles | Volume 6, issue 2
https://doi.org/10.5194/esd-6-447-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/esd-6-447-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 Jul 2015
Research article |
| 16 Jul 2015
A framework for the cross-sectoral integration of multi-model impact projections: land use decisions under climate impacts uncertainties
K. Frieler
CORRESPONDING AUTHOR
Potsdam Institute for Climate Impact Research, Potsdam, Germany
A. Levermann
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Institute of Physics, Potsdam University, Potsdam, Germany
J. Elliott
University of Chicago Computation Institute, Chicago, Illinois, USA
Columbia University Center for Climate Systems Research, New York, New York, USA
J. Heinke
Potsdam Institute for Climate Impact Research, Potsdam, Germany
A. Arneth
Karlsruhe Institute of Technology, IMK-sIFU, Garmisch-Partenkirchen, Germany
M. F. P. Bierkens
Utrecht University, Utrecht, the Netherlands
IPSL – LSCE, CEA CNRS UVSQ, Centre d'Etudes Orme des Merisiers, Gif sur Yvette, France
D. B. Clark
Centre for Ecology & Hydrology, Wallingford, UK
D. Deryng
Tyndall Centre, School of Environmental Sciences, University of East Anglia, Norwich, UK
Institute of Physical Geography, J. W. Goethe University, Frankfurt, Germany
P. Falloon
Met Office Hadley Centre, Exeter, UK
B. Fekete
Civil Engineering Department, The City College of New York, New York, USA
C. Folberth
Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland
A. D. Friend
Department of Geography, University of Cambridge, Cambridge, UK
C. Gellhorn
Potsdam Institute for Climate Impact Research, Potsdam, Germany
S. N. Gosling
School of Geography, University of Nottingham, Nottingham, UK
I. Haddeland
Norwegian Water Resources and Energy Directorate, Oslo, Norway
N. Khabarov
International Institute for Applied System Analysis, Laxenburg, Austria
M. Lomas
Centre for Terrestrial Carbon Dynamics, University of Sheffield, Sheffield, UK
Y. Masaki
Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
K. Nishina
Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
K. Neumann
Wageningen University, Laboratory of Geo-information Science and Remote Sensing, Wageningen, the Netherlands
PBL Netherlands Environmental Assessment Agency, The Hague, the Netherlands
The University of Tokyo, Tokyo, Japan
R. Pavlick
Max Planck Institute for Biogeochemistry, Jena, Germany
A. C. Ruane
NASA GISS, New York, New York, USA
E. Schmid
University of Natural Resources and Life Sciences, Vienna, Austria
C. Schmitz
Potsdam Institute for Climate Impact Research, Potsdam, Germany
T. Stacke
Max Planck Institute for Meteorology, Hamburg, Germany
E. Stehfest
PBL Netherlands Environmental Assessment Agency, The Hague, the Netherlands
Key Laboratory of Water Cycle and Related Land Surface Process, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
D. Wisser
Center for Development Research, University of Bonn, Bonn, Germany
V. Huber
Potsdam Institute for Climate Impact Research, Potsdam, Germany
F. Piontek
Potsdam Institute for Climate Impact Research, Potsdam, Germany
L. Warszawski
Potsdam Institute for Climate Impact Research, Potsdam, Germany
J. Schewe
Potsdam Institute for Climate Impact Research, Potsdam, Germany
H. Lotze-Campen
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Humboldt-Universität zu Berlin, Berlin, Germany
H. J. Schellnhuber
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Santa Fe Institute, Santa Fe, New Mexico, USA
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- A framework for modelling the complexities of food and water security under globalisation B. Dermody et al. https://doi.org/10.5194/esd-9-103-2018
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- Differential climate impacts for policy-relevant limits to global warming: the case of 1.5 °C and 2 °C C. Schleussner et al. https://doi.org/10.5194/esd-7-327-2016
- North–south polarization of European electricity consumption under future warming L. Wenz et al. https://doi.org/10.1073/pnas.1704339114
- Mitigation of agricultural emissions in the tropics: comparing forest land-sparing options at the national level S. Carter et al. https://doi.org/10.5194/bg-12-4809-2015
- Enhanced economic connectivity to foster heat stress–related losses L. Wenz & A. Levermann https://doi.org/10.1126/sciadv.1501026
- Research on quantitative assessment of climate change risk at an urban scale: Review of recent progress and outlook of future direction B. Ye et al. https://doi.org/10.1016/j.rser.2020.110415
- Climate change and human heat stress exposure in sub-Saharan Africa D. Ayal https://doi.org/10.1079/PAVSNNR202116049
- A Bibliometric Analysis and a Citation Mapping Process for the Role of Soil Recycled Organic Matter and Microbe Interaction due to Climate Change Using Scopus Database I. Vagelas & S. Leontopoulos https://doi.org/10.3390/agriengineering5010037
- Regional uniqueness of tree species composition and response to forest loss and climate change N. van Tiel et al. https://doi.org/10.1038/s41467-024-48276-3
- How uncertainties are tackled in multi-disciplinary science? A review of integrated assessments under global change A. Pastor et al. https://doi.org/10.1016/j.catena.2019.104305
- A novel probabilistic and metaheuristic approach for evaluation of CMIP6 models and bias corrected multimodel ensemble for future projection of temperature characteristics R. Khalil & Z. Ali https://doi.org/10.1007/s00477-025-03014-z
- Taking globally consistent health impact projections to the next level J. Rocklöv et al. https://doi.org/10.1016/S2542-5196(21)00171-6
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- Studying transitions: Past, present, and future M. Zolfagharian et al. https://doi.org/10.1016/j.respol.2019.04.012
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- Can we be certain about future land use change in Europe? A multi-scenario, integrated-assessment analysis I. Holman et al. https://doi.org/10.1016/j.agsy.2016.12.001
- Assessing inter-sectoral climate change risks: the role of ISIMIP C. Rosenzweig et al. https://doi.org/10.1088/1748-9326/12/1/010301
- Report of the Scientific Committee of the Spanish Agency for Food Safety and Nutrition (AESAN) on the relationship between climate change and food security, and its impact on the nutritional status of the population A. Perales et al. https://doi.org/10.2903/fr.efsa.2025.FR-0053
- Diagnostic Framework for Evaluating How Parametric Uncertainty Influences Agro‐Hydrologic Model Projections of Crop Yields Under Climate Change T. Karimi et al. https://doi.org/10.1029/2021WR031249
- Uncertainties in Future Projections of Summer Droughts and Heat Waves over the Contiguous United States J. Herrera-Estrada & J. Sheffield https://doi.org/10.1175/JCLI-D-16-0491.1
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