Dr. Christoph Müller

Working Group Leader
Müller

Christoph is the working group leader of the RD2 working group Land Use and Resilience, and leads the Land-Use group jointly with Alexander Popp and Jan Philipp Dietrich as well as the Global Biosphere and Water Modeling group jointly with Kirsten Thonicke and Dieter Gerten.
He is acting as the scientist-in-charge for the LPJmL model at PIK.
Internationally, Christoph is the Co-lead of Ag-GRID initiative of the Agricultural Model Intercomparison and Improvement Project AgMIP.
He also is engaged as Topical editor for Geoscientific Model Development promoting open access science and source code of models.

Department

Working Group

Contact

Potsdam Institute for Climate Impact Research (PIK)
T +49 (0)331 288 2685
christoph.mueller[at]pik-potsdam.de
P.O. Box 60 12 03
14412 Potsdam

ORCID

short CV

since 03/2012 working group leader at PIK, Research Department 2
09/2008 - 02/2012 Post Doc at PIK
08/2010 - 02/2011 parental leave
09/2007 - 08/2008 Post Doc at Netherlands Environmental Assessment Agency (MNP) and guest at PIK
01/2007 PhD in Geoecology (Uni Potsdam and IMPRS)
2003 - 2007 PhD student and research fellow at PIK and IMPRS (combined position)
2002 Diploma in Geoecology (Uni Potsdam)



For some statistics see my webofscience profile or my google scholar profile.

ORCID: 0000-0002-9491-3550

Highly_Cited_Researcher_2019_Ribbon_300px.png

 

Forthcoming/ Scientific Journals/ Scientific Reports/ Other non-reviewed/ Review activities

Forthcoming

[A] Wirth SB, Braun J, Heinke J, Ostberg S, Rolinski S, Schaphoff S, Stenzel F, von Bloh W, and Müller C. 2024, Biological nitrogen fixation of natural and agricultural vegetation simulated with LPJmL 5.7.9, EGUsphere, 2024, 1-29, doi: 10.5194/egusphere-2023-2946.

[B] Jäger F, Schwaab J, Quilcaille Y, Windisch M, Doelman J, Frank S, Gusti M, Havlik P, Humpenöder F, Lessa Derci Augustynczik A, Müller C, Narayan KB, Padrón RS, Popp A, van Vuuren D, Wögerer M, and Seneviratne SI. 2024, Fire Weather Compromises Forestation-reliant Climate Mitigation Pathways, EGUsphere, 2024, 1-25, doi: 10.5194/egusphere-2024-15.

[C] Xoplaki E, Ellsäßer F, Grieger J, Nissen KM, Pinto J, Augenstein M, Chen TC, Feldmann H, Friederichs P, Gliksman D, Goulier L, Haustein K, Heinke J, Jach L, Knutzen F, Kollet S, Luterbacher J, Luther N, Mohr S, Mudersbach C, Müller C, Rousi E, Simon F, Suarez-Gutierrez L, Szemkus S, Vallejo-Bernal SM, Vlachopoulos O, and Wolf F. 2023, Compound events in Germany in 2018: drivers and case studies, EGUsphere, 2023, 1-43, doi: 10.5194/egusphere-2023-1460.

[D] Bodirsky BL, Beier F, Humpenöder F ... et al.  A food system transformation can enhance global health, environmental conditions and social inclusion, 21 June 2023, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-2928708/v1]Benjamin Bodirsky, Felicitas Beier, Florian Humpenöder et al. A food system transformation can enhance global health, environmental conditions and social inclusion, 21 June 2023, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-2928708/v1]Benjamin Bodirsky, Felicitas Beier, Florian Humpenöder et al. A food system transformation can enhance global health, environmental conditions and social inclusion, 21 June 2023, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-2928708/v1]Benjamin Bodirsky, Felicitas Beier, Florian Humpenöder et al. A food system transformation can enhance global health, environmental conditions and social inclusion, 21 June 2023, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-2928708/v1]

[E] Chen H, Wang X, Ji JS, Huang L, Qi Y, Wu Y, He P, Li Y, Bodirsky B, Müller C, Willet W, Yuan C (2023). Plant-Based and Planetary-Health Diets, Environmental Burden, and Risk of Mortality: A Prospective Study in Chinaplant-Based and Planetary-Health Diets, Environmental Burden, and Risk of Mortality: A Prospective Study in China. Available at SSRN: https://ssrn.com/abstract=4491647 or http://dx.doi.org/10.2139/ssrn.4491647

[F] Windisch M, Humpenöder F, Merfort L, Bauer N, Luderer G, Dietrich JP, Heinke J, Müller C, Lotze-Campen H, Popp A. 2023, Hedging our bet on forest permanence, PREPRINT (Version 1) available at Research Square, doi: 10.21203/rs.3.rs-2922314/v1

[G] Breier J, Ostberg S, Wirth S, Minoli S, Stenzel F, Müller C. 2023, lpjmlkit: A toolkit for operating LPJmL and model-specific data processing, Journal of Open Source Software [review process]

Scientific Journals and other Reviewed Publications

 202420232022 / 2021 / 2020 / 2019 / 2018 / 2017 / 2016 / 2015 / before 2014

2024

[181] Frieler K, Volkholz J, Lange S, Schewe J, Mengel M, del Rocío Rivas López M, Otto C, Reyer CPO, Karger DN, Malle JT, Treu S, Menz C, Blanchard JL, Harrison CS, Petrik CM, Eddy TD, Ortega-Cisneros K, Novaglio C, Rousseau Y, Watson RA, Stock C, Liu X, Heneghan R, Tittensor D, Maury O, Büchner M, Vogt T, Wang T, Sun F, Sauer IJ, Koch J, Vanderkelen I, Jägermeyr J, Müller C, Rabin S, Klar J, Vega del Valle ID, Lasslop G, Chadburn S, Burke E, Gallego-Sala A, Smith N, Chang J, Hantson S, Burton C, Gädeke A, Li F, Gosling SN, Müller Schmied H, Hattermann F, Wang J, Yao F, Hickler T, Marcé R, Pierson D, Thiery W, Mercado-Bettín D, Ladwig R, Ayala-Zamora AI, Forrest M, and Bechtold M. 2024, Scenario setup and forcing data for impact model evaluation and impact attribution within the third round of the Inter-Sectoral Model Intercomparison Project (ISIMIP3a), Geosci. Model Dev., 17, 1-51, doi: 10.5194/gmd-17-1-2024.

[180] Müller C, Jägermeyr J, Franke JA, Ruane AC, Balkovic J, Ciais P, Dury M, Falloon P, Folberth C, Hank T, Hoffmann M, Izaurralde RC, Jacquemin I, Khabarov N, Liu W, Olin S, Pugh TAM, Wang X, Williams K, Zabel F, and Elliott JW. 2024, Substantial Differences in Crop Yield Sensitivities Between Models Call for Functionality-Based Model Evaluation, Earth's Future, 12, e2023EF003773, doi: 10.1029/2023EF003773.

[179] Wirth SB, Poyda A, Taube F, Tietjen B, Müller C, Thonicke K, Linstädter A, Behn K, Schaphoff S, von Bloh W, and Rolinski S. 2024, Connecting competitor, stress-tolerator and ruderal (CSR) theory and Lund Potsdam Jena managed Land 5 (LPJmL 5) to assess the role of environmental conditions, management and functional diversity for grassland ecosystem functions, Biogeosciences, 21, 381-410, doi: 10.5194/bg-21-381-2024.

2023

[178] Beier FD, Bodirsky BL, Heinke J, Karstens K, Dietrich JP, Müller C, Stenzel F, von Jeetze PJ, Popp A, and Lotze-Campen H. 2023, Technical and Economic Irrigation Potentials Within Land and Water Boundaries, Water Resources Research, 59, e2021WR031924, doi: 10.1029/2021WR031924.

[177] Buckland CE, Thomas DSG, Jägermeyr J, Müller C, and Smith JAC. 2023, Drought-tolerant succulent plants as an alternative crop under future global warming scenarios in sub-Saharan Africa, GCB Bioenergy, 15, 1287-1308, doi: 10.1111/gcbb.13095.

[176] Beringer T, Müller C, Chatterton J, Kulak M, Schaphoff S, and Jans Y. 2023, CO2 fertilization effect may balance climate change impacts on oil palm cultivation, Environmental Research Letters, 18, 054019, doi: 10.1088/1748-9326/accbd5.

[175] Faye B, Webber H, Gaiser T, Müller C, Zhang Y, Stella T, Latka C, Reckling M, Heckelei T, Helming K, and Ewert F. 2023, Climate change impacts on European arable crop yields: Sensitivity to assumptions about rotations and residue management, European Journal of Agronomy, 142, 126670, doi: 10.1016/j.eja.2022.126670.

[174] Fu J, Jian Y, Wang X, Li L, Ciais P, Zscheischler J, Wang Y, Tang Y, Müller C, Webber H, Yang B, Wu Y, Wang Q, Cui X, Huang W, Liu Y, Zhao P, Piao S, and Zhou F. 2023, Extreme rainfall reduces one-twelfth of China’s rice yield over the last two decades, Nature Food, doi: 10.1038/s43016-023-00753-6.

[173] Heinke J, Rolinski S, and Müller C. 2023, Modelling the role of livestock grazing in C and N cycling in grasslands with LPJmL5.0-grazing, Geosci. Model Dev., 16, 2455-2475, doi: 10.5194/gmd-16-2455-2023.

[172] von Jeetze PJ, Weindl I, Johnson JA, Borrelli P, Panagos P, Molina Bacca EJ, Karstens K, Humpenöder F, Dietrich JP, Minoli S, Müller C, Lotze-Campen H, and Popp A. 2023, Projected landscape-scale repercussions of global action for climate and biodiversity protection, Nat. Commun., 14, 2515, doi: 10.1038/s41467-023-38043-1.

[171] Li L, Wang B, Feng P, Jägermeyr J, Asseng S, Müller C, Macadam I, Liu DL, Waters C, Zhang Y, He Q, Shi Y, Chen S, Guo X, Li Y, He J, Feng H, Yang G, Tian H, and Yu Q. 2023, The optimization of model ensemble composition and size can enhance the robustness of crop yield projections, Communications Earth & Environment, 4, 362, doi: 10.1038/s43247-023-01016-9.

[170] Liu B, Martre P, Ewert F, Webber H, Waha K, Thorburn PJ, Ruane AC, Aggarwal PK, Ahmed M, Balkovič J, Basso B, Biernath C, Bindi M, Cammarano D, Cao W, Challinor AJ, Sanctis GD, Dumont B, Espadafor M, Rezaei EE, Fereres E, Ferrise R, Garcia-Vila M, Gayler S, Gao Y, Horan H, Hoogenboom G, Izaurralde RC, Jabloun M, Jones CD, Kassie BT, Kersebaum KC, Klein C, Koehler A-K, Maiorano A, Minoli S, Martin MMS, Müller C, Kumar SN, Nendel C, O’Leary GJ, Olesen JE, Palosuo T, Porter JR, Priesack E, Ripoche D, Rötter RP, Semenov MA, Stöckle C, Stratonovitch P, Streck T, Supit I, Tao F, Velde MVd, Wang E, Wolf J, Xiao L, Zhang Z, Zhao Z, Zhu Y, and Asseng S. 2023, AgMIP-Wheat multi-model simulations on climate change impact and adaptation for global wheat, Open Data Journal for Agricultural Research, 9, 10-25, doi: 10.18174/odjar.v9i0

[169] Liu W, Ye T, Müller C, Jägermeyr J, Franke JA, Stephens H, and Chen S. 2023, The statistical emulators of GGCMI phase 2: responses of year-to-year variation of crop yield to CO2, temperature, water, and nitrogen perturbations, Geosci. Model Dev., 16, 7203-7221, doi: 10.5194/gmd-16-7203-2023.

[168] Luo N, Meng Q, Feng P, Qu Z, Yu Y, Liu DL, Müller C, and Wang P. 2023, China can be self-sufficient in maize production by 2030 with optimal crop management, Nat. Commun., 14, 2637, doi: 10.1038/s41467-023-38355-2.

[167] Molina Bacca EJ, Stevanović M, Bodirsky BL, Karstens K, Chen DM-C, Leip D, Müller C, Minoli S, Heinke J, Jägermeyr J, Folberth C, Iizumi T, Jain AK, Liu W, Okada M, Smerald A, Zabel F, Lotze-Campen H, and Popp A. 2023, Uncertainty in land-use adaptation persists despite crop model projections showing lower impacts under high warming, Communications Earth & Environment, 4, 284, doi: 10.1038/s43247-023-00941-z.

[166] Ostberg S, Müller C, Heinke J, and Schaphoff S. 2023, LandInG 1.0: a toolbox to derive input datasets for terrestrial ecosystem modelling at variable resolutions from heterogeneous sources, Geosci. Model Dev., 16, 3375-3406, doi: 10.5194/gmd-16-3375-2023.

[165] Sweet L-b, Müller C, Anand M, and Zscheischler J. 2023, Cross-Validation Strategy Impacts the Performance and Interpretation of Machine Learning Models, Artificial Intelligence for the Earth Systems, 2, e230026, doi: 10.1175/AIES-D-23-0026.1.

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2022

[164] Cinner JE, Caldwell IR, Thiault L, Ben J, Blanchard JL, Coll M, Diedrich A, Eddy TD, Everett JD, Folberth C, Gascuel D, Guiet J, Gurney GG, Heneghan RF, Jägermeyr J, Jiddawi N, Lahari R, Kuange J, Liu W, Maury O, Müller C, Novaglio C, Palacios-Abrantes J, Petrik CM, Rabearisoa A, Tittensor DP, Wamukota A, and Pollnac R. 2022, Potential impacts of climate change on agriculture and fisheries production in 72 tropical coastal communities, Nat. Commun., 13, 3530, doi: 10.1038/s41467-022-30991-4.

[163] Franke JA, Müller C, Minoli S, Elliott J, Folberth C, Gardner C, Hank T, Izaurralde RC, Jägermeyr J, Jones CD, Liu W, Olin S, Pugh TAM, Ruane AC, Stephens H, Zabel F, and Moyer EJ. 2022, Agricultural breadbaskets shift poleward given adaptive farmer behavior under climate change, Global Change Biology, 28, 167-181, doi: 10.1111/gcb.15868.

[162] Hedlund J, Carlsen H, Croft S, West C, Bodin Ö, Stokeld E, Jägermeyr J, and Müller C. 2022, Impacts of climate change on global food trade networks, Environmental Research Letters, 17, 124040, doi: 10.1088/1748-9326/aca68b.

[161] Karstens K, Bodirsky BL, Dietrich JP, Dondini M, Heinke J, Kuhnert M, Müller C, Rolinski S, Smith P, Weindl I, Lotze-Campen H, and Popp A. 2022, Management-induced changes in soil organic carbon on global croplands, Biogeosciences, 19, 5125-5149, doi: 10.5194/bg-19-5125-2022.

[160] Minoli S, Jägermeyr J, Asseng S, Urfels A, and Müller C. 2022, Global crop yields can be lifted by timely adaptation of growing periods to climate change, Nat. Commun., 13, 7079, doi: 10.1038/s41467-022-34411-5.

[159] Qiao L, Wang X, Smith P, Fan J, Lu Y, Emmett B, Li R, Dorling S, Chen H, Liu S, Benton TG, Wang Y, Ma Y, Jiang R, Zhang F, Piao S, Müller C, Yang H, Hao Y, Li W, and Fan M. 2022, Soil quality both increases crop production and improves resilience to climate change, Nature Climate Change, doi: 10.1038/s41558-022-01376-8. Recognized asChina's top ten major advances in agricultural science in 2023

[158] Porwollik V, Rolinski S, Heinke J, von Bloh W, Schaphoff S, and Müller C. 2022, The role of cover crops for cropland soil carbon, nitrogen leaching, and agricultural yields – a global simulation study with LPJmL (V. 5.0-tillage-cc), Biogeosciences, 19, 957-977, doi: 10.5194/bg-19-957-2022.

[157] Wang C, Wang X, Jin Z, Müller C, Pugh TAM, Chen A, Wang T, Huang L, Zhang Y, Li LXZ, and Piao S. 2022, Occurrence of crop pests and diseases has largely increased in China since 1970, Nature Food, 3, 57-65, doi: 10.1038/s43016-021-00428-0.

[156] Wang X, Bodirsky BL, Müller C, Chen KZ, and Yuan C. 2022, The triple benefits of slimming and greening the Chinese food system, Nature Food, doi: 10.1038/s43016-022-00580-1.

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2021

[155] Gernaat DEHJ, de Boer HS, Daioglou V, Yalew SG, Müller C, and van Vuuren DP. 2021, Climate change impacts on renewable energy supply, Nature Climate Change, 11, 119-125, doi: 10.1038/s41558-020-00949-9.

[154] Herzfeld T, Heinke J, Rolinski S, and Müller C. 2021, Soil organic carbon dynamics from agricultural management practices under climate change, Earth Syst. Dynam., 12, 1037-1055, doi: 10.5194/esd-12-1037-2021.

[153] Jans Y, von Bloh W, Schaphoff S, and Müller C. 2021, Global cotton production under climate change – Implications for yield and water consumption, Hydrol. Earth Syst. Sci., 25, 2027-2044, doi: 10.5194/hess-25-2027-2021.

[152] Jägermeyr J, Müller C, Ruane AC, Elliott J, Balkovic J, Castillo O, Faye B, Foster I, Folberth C, Franke JA, Fuchs K, Guarin JR, Heinke J, Hoogenboom G, Iizumi T, Jain AK, Kelly D, Khabarov N, Lange S, Lin T-S, Liu W, Mialyk O, Minoli S, Moyer EJ, Okada M, Phillips M, Porter C, Rabin SS, Scheer C, Schneider JM, Schyns JF, Skalsky R, Smerald A, Stella T, Stephens H, Webber H, Zabel F, and Rosenzweig C. 2021, Climate impacts on global agriculture emerge earlier in new generation of climate and crop models, Nature Food, doi: 10.1038/s43016-021-00400-y.

[151] Liu W, Ye T, Jägermeyr J, Müller C, Chen S, Liu X, and Shi P. 2021, Future climate change significantly alters interannual wheat yield variability over half of harvested areas, Environmental Research Letters, 16, 094045, doi: 10.1088/1748-9326/ac1fbb.

[150] Mouratiadou I, Latka C, van der Hilst F, Müller C, Berges R, Bodirsky BL, Ewert F, Faye B, Heckelei T, Hoffmann M, Lehtonen H, Lorite IJ, Nendel C, Palosuo T, Rodríguez A, Rötter RP, Ruiz-Ramos M, Stella T, Webber H, and Wicke B. 2021, Quantifying sustainable intensification of agriculture: The contribution of metrics and modelling, Ecological Indicators, 129, 107870, doi: 10.1016/j.ecolind.2021.107870.

[149] Müller C, Franke J, Jägermeyr J, Ruane AC, Elliott J, Moyer E, Heinke J, Falloon P, Folberth C, Francois L, Hank T, Izaurralde RC, Jacquemin I, Liu W, Olin S, Pugh T, Williams KE, and Zabel F. 2021, Exploring uncertainties in global crop yield projections in a large ensemble of crop models and CMIP5 and CMIP6 climate scenarios, Environmental Research Letters, 16, 034040, doi: 10.1088/1748-9326/abd8fc.

[148] Ringeval B, Kvakić M, Augusto L, Ciais P, Goll DS, Mueller ND, Müller C, Nesme T, Vuichard N, Wang X, and Pellerin S. 2021, Insights on Nitrogen and Phosphorus Co-Limitation in Global Croplands From Theoretical and Modeling Fertilization Experiments, Global Biogeochemical Cycles, 35, e2020GB006915, doi: 10.1029/2020GB006915.

[147] Ringeval B, Müller C, Pugh TAM, Mueller ND, Ciais P, Folberth C, Liu W, Debaeke P, and Pellerin S. 2021, Potential yield simulated by global gridded crop models: using a process-based emulator to explain their differences, Geosci. Model Dev., 14, 1639-1656, doi: 10.5194/gmd-14-1639-2021.

[146] Rolinski S, Prishchepov AV, Guggenberger G, Bischoff N, Kurganova I, Schierhorn F, Müller D, and Müller C. 2021, Dynamics of soil organic carbon in the steppes of Russia and Kazakhstan under past and future climate and land use, Reg. Envir. Chang., 21, 73, doi: 10.1007/s10113-021-01799-7.

[145] Ruane AC, Phillips M, Müller C, Elliott J, Jägermeyr J, Arneth A, Balkovic J, Deryng D, Folberth C, Iizumi T, Izaurralde RC, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Rosenzweig C, Sakurai G, Schmid E, Sultan B, Wang X, de Wit A, and Yang H. 2021, Strong regional influence of climatic forcing datasets on global crop model ensembles, Agricultural and Forest Meteorology, 300, 108313, doi: 10.1016/j.agrformet.2020.108313.

[144] Thiery W, Lange S, Rogelj J, Schleussner C-F, Gudmundsson L, Seneviratne SI, Andrijevic M, Frieler K, Emanuel K, Geiger T, Bresch DN, Zhao F, Willner SN, Büchner M, Volkholz J, Bauer N, Chang J, Ciais P, Dury M, François L, Grillakis M, Gosling SN, Hanasaki N, Hickler T, Huber V, Ito A, Jägermeyr J, Khabarov N, Koutroulis A, Liu W, Lutz W, Mengel M, Müller C, Ostberg S, Reyer CPO, Stacke T, and Wada Y. 2021, Intergenerational inequities in exposure to climate extremes, Science, 374, 158-160, doi:10.1126/science.abi7339.

[143] Wang X, Müller C, Elliott J, Mueller ND, Ciais P, Jägermeyr J, Gerber J, Dumas P, Wang C, Yang H, Li L, Deryng D, Folberth C, Liu W, Makowski D, Olin S, Pugh TAM, Reddy A, Schmid E, Jeong S, Zhou F, and Piao S. 2021, Global irrigation contribution to wheat and maize yield, Nature Communications, 12, 1235, doi: 10.1038/s41467-021-21498-5.

[142] Wirth SB, Taubert F, Tietjen B, Müller C, and Rolinski S. 2021, Do details matter? Disentangling the processes related to plant species interactions in two grassland models of different complexity, Ecological Modelling, 460, 109737, doi: 10.1016/j.ecolmodel.2021.109737.

[141] Zabel F, Müller C, Elliott J, Minoli S, Jägermeyr J, Schneider JM, Franke JA, Moyer E, Dury M, Francois L, Folberth C, Liu W, Pugh TAM, Olin S, Rabin SS, Mauser W, Hank T, Ruane AC, and Asseng S. 2021, Large potential for crop production adaptation depends on available future varieties, Global Change Biology, 27, 3870-3882, doi: 10.1111/gcb.15649. Recognized as: Top downloaded article

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2020

[140] Beringer T, Kulak M, Müller C, Schaphoff S, and Jans Y. 2020, First process-based simulations of climate change impacts on global tea production indicate large effects in the World’s major producer countries, Environmental Research Letters, 15, 034023, doi: 10.1088/1748-9326/ab649b.

[139] Franke JA, Müller C, Elliott J, Ruane AC, Jägermeyr J, Balkovic J, Ciais P, Dury M, Falloon PD, Folberth C, François L, Hank T, Hoffmann M, Izaurralde RC, Jacquemin I, Jones C, Khabarov N, Koch M, Li M, Liu W, Olin S, Phillips M, Pugh TAM, Reddy A, Wang X, Williams K, Zabel F, and Moyer EJ. 2020, The GGCMI Phase 2 experiment: global gridded crop model simulations under uniform changes in CO2, temperature, water, and nitrogen levels (protocol version 1.0), Geosci. Model Dev., 13, 2315-2336, doi: 10.5194/gmd-13-2315-2020.

[138] Franke JA, Müller C, Elliott J, Ruane AC, Jägermeyr J, Snyder A, Dury M, Falloon PD, Folberth C, François L, Hank T, Izaurralde RC, Jacquemin I, Jones C, Li M, Liu W, Olin S, Phillips M, Pugh TAM, Reddy A, Williams K, Wang Z, Zabel F, and Moyer EJ. 2020, The GGCMI Phase 2 emulators: global gridded crop model responses to changes in CO2, temperature, water, and nitrogen (version 1.0), Geosci. Model Dev., 13, 3995-4018, doi: 10.5194/gmd-13-3995-2020.

[137] Hasegawa T, Fujimori S, Havlík P, Valin H, Bodirsky BL, Doelman JC, Fellmann T, Kyle P, Koopman JFL, Lotze-Campen H, Mason-D’Croz D, Müller C, Ochi Y, Pérez Domínguez I, Stehfest E, Sulser TB, Tabeau A, Takahashi K, Takakura Jy, van Meijl H, van Zeist W-J, Wiebe K, and Witzke P. 2020, Reply to: An appeal to cost undermines food security risks of delayed mitigation, Nature Climate Change, doi: 10.1038/s41558-020-0767-3.

[136] Heinke J, Lannerstad M, Gerten D, Havlík P, Herrero M, Notenbaert AMO, Hoff H, and Müller C. 2020, Water Use in Global Livestock Production—Opportunities and Constraints for Increasing Water Productivity, Water Resources Research, 56, e2019WR026995, doi: 10.1029/2019WR026995. Recognized as: Top downloaded article

[135] Heino M, Guillaume JHA, Müller C, Iizumi T, and Kummu M. 2020, A multi-model analysis of teleconnected crop yield variability in a range of cropping systems, Earth Syst. Dynam., 11, 113-128, doi: 10.5194/esd-11-113-2020.

[134] Jägermeyr J, Robock A, Elliott J, Müller C, Xia L, Khabarov N, Folberth C, Schmid E, Liu W, Zabel F, Rabin SS, Puma MJ, Heslin A, Franke J, Foster I, Asseng S, Bardeen CG, Toon OB, and Rosenzweig C. 2020, A regional nuclear conflict would compromise global food security, Proceedings of the National Academy of Sciences, 117, , doi: 10.1073/pnas.1919049117.

[133] Kanter DR, Winiwarter W, Bodirsky BL, Bouwman L, Boyer E, Buckle S, Compton JE, Dalgaard T, de Vries W, Leclère D, Leip A, Müller C, Popp A, Raghuram N, Rao S, Sutton MA, Tian H, Westhoek H, Zhang X, and Zurek M. 2020, A framework for nitrogen futures in the shared socioeconomic pathways, Global Environmental Change, 61, 102029, doi: 10.1016/j.gloenvcha.2019.102029.

[132] Lange S, Volkholz J, Geiger T, Zhao F, Vega I, Veldkamp T, Reyer CPO, Warszawski L, Huber V, Jägermeyr J, Schewe J, Bresch DN, Büchner M, Chang J, Ciais P, Dury M, Emanuel K, Folberth C, Gerten D, Gosling SN, Grillakis M, Hanasaki N, Henrot A-J, Hickler T, Honda Y, Ito A, Khabarov N, Koutroulis A, Liu W, Müller C, Nishina K, Ostberg S, Müller Schmied H, Seneviratne SI, Stacke T, Steinkamp J, Thiery W, Wada Y, Willner S, Yang H, Yoshikawa M, Yue C, and Frieler K. 2020, Projecting Exposure to Extreme Climate Impact Events Across Six Event Categories and Three Spatial Scales, Earth's Future, 8, e2020EF001616, doi: 10.1029/2020EF001616. Recognized as: Top downloaded article

[131] Lutz F, Del Grosso S, Ogle S, Williams S, Minoli S, Rolinski S, Heinke J, Stoorvogel JJ, and Müller C. 2020, The importance of management information and soil moisture representation for simulating tillage effects on N2O emissions in LPJmL5.0-tillage, Geosci. Model Dev., 13, 3905-3923, doi: 10.5194/gmd-13-3905-2020.

[130] Müller B, Hoffmann F, Heckelei T, Müller C, Hertel TW, Polhill JG, van Wijk M, Achterbosch T, Alexander P, Brown C, Kreuer D, Ewert F, Ge J, Millington JDA, Seppelt R, Verburg PH, and Webber H. 2020, Modelling food security: Bridging the gap between the micro and the macro scale, Global Environmental Change, 63, 102085, doi: 10.1016/j.gloenvcha.2020.102085.

[129] Toreti A, Deryng D, Tubiello FN, Müller C, Kimball BA, Moser G, Boote K, Asseng S, Pugh TAM, Vanuytrecht E, Pleijel H, Webber H, Durand J-L, Dentener F, Ceglar A, Wang X, Badeck F, Lecerf R, Wall GW, van den Berg M, Hoegy P, Lopez-Lozano R, Zampieri M, Galmarini S, O’Leary GJ, Manderscheid R, Mencos Contreras E, and Rosenzweig C. 2020, Narrowing uncertainties in the effects of elevated CO2 on crops, Nature Food, 1, 775-782, doi: 10.1038/s43016-020-00195-4.

[128] Wang X, Zhao C, Müller C, Wang C, Ciais P, Janssens I, Peñuelas J, Asseng S, Li T, Elliott J, Huang Y, Li L, and Piao S. 2020, Emergent constraint on crop yield response to warmer temperature from field experiments, Nature Sustainability, doi: 10.1038/s41893-020-0569-7.

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2019

[127] Asseng S, Martre P, Maiorano A, Rötter RP, O’Leary GJ, Fitzgerald GJ, Girousse C, Motzo R, Giunta F, Babar MA, Reynolds MP, Kheir AMS, Thorburn PJ, Waha K, Ruane AC, Aggarwal PK, Ahmed M, Balkovic J, Basso B, Biernath C, Bindi M, Cammarano D, Challinor AJ, De Sanctis G, Dumont B, Eyshi Rezaei E, Fereres E, Ferrise R, Garcia-Vila M, Gayler S, Gao Y, Horan H, Hoogenboom G, Izaurralde RC, Jabloun M, Jones CD, Kassie BT, Kersebaum K-C, Klein C, Koehler A-K, Liu B, Minoli S, Montesino San Martin M, Müller C, Naresh Kumar S, Nendel C, Olesen JE, Palosuo T, Porter JR, Priesack E, Ripoche D, Semenov MA, Stöckle C, Stratonovitch P, Streck T, Supit I, Tao F, Van der Velde M, Wallach D, Wang E, Webber H, Wolf J, Xiao L, Zhang Z, Zhao Z, Zhu Y, and Ewert F. 2019, Climate change impact and adaptation for wheat protein, Global Change Biology, 25, 155-173, doi: 10.1111/gcb.14481. Recognized as: Top Cited Article 2019-2020

[126] Braakhekke MC, Doelman JC, Baas P, Müller C, Schaphoff S, Stehfest E, and van Vuuren DP. 2019, Modeling forest plantations for carbon uptake with the LPJmL dynamic global vegetation model, Earth Syst. Dynam., 10, 617-630, doi: 10.5194/esd-10-617-2019.

[125] Folberth C, Elliott J, Müller C, Balkovic J, Chryssanthacopoulos J, Izaurralde RC, Jones CD, Khabarov N, Liu W, Reddy A, Schmid E, Skalský R, Yang H, Arneth A, Ciais P, Deryng D, Lawrence PJ, Olin S, Pugh TAM, Ruane AC, and Wang X. 2019, Parameterization-induced uncertainties and impacts of crop management harmonization in a global gridded crop model ensemble, PLOS ONE, 14, e0221862, doi: 10.1371/journal.pone.0221862.

[124] Heinke J, Müller C, Lannerstad M, Gerten D, and Lucht W. 2019, Freshwater resources under success and failure of the Paris climate agreement, Earth Syst. Dynam., 10, 205-217, doi: 10.5194/esd-10-205-2019.

[123] Liu B, Martre P, Ewert F, Porter JR, Challinor AJ, Müller C, Ruane AC, Waha K, Thorburn PJ, Aggarwal PK, Ahmed M, Balkovic J, Basso B, Biernath C, Bindi M, Cammarano D, De Sanctis G, Dumont B, Espadafor M, Eyshi Rezaei E, Ferrise R, Garcia-Vila M, Gayler S, Gao Y, Horan H, Hoogenboom G, Izaurralde RC, Jones CD, Kassie BT, Kersebaum KC, Klein C, Koehler A-K, Maiorano A, Minoli S, Montesino San Martin M, Naresh Kumar S, Nendel C, O’Leary GJ, Palosuo T, Priesack E, Ripoche D, Rötter RP, Semenov MA, Stöckle C, Streck T, Supit I, Tao F, Van der Velde M, Wallach D, Wang E, Webber H, Wolf J, Xiao L, Zhang Z, Zhao Z, Zhu Y, and Asseng S. 2019, Global wheat production with 1.5 and 2.0°C above pre-industrial warming, Global Change Biology, 25, 1428-1444, doi:10.1111/gcb.14542.

[122] Lutz F, Herzfeld T, Heinke J, Rolinski S, Schaphoff S, von Bloh W, Stoorvogel JJ, and Müller C. 2019, Simulating the effect of tillage practices with the global ecosystem model LPJmL (version 5.0-tillage), Geosci. Model Dev., 12, 2419-2440, doi: 10.5194/gmd-12-2419-2019.

[121] Lutz F, Stoorvogel JJ, and Müller C. 2019, Options to model the effects of tillage on N2O emissions at the global scale, Ecological Modelling, 392, 212-225, doi: 10.1016/j.ecolmodel.2018.11.015.

[120] Minoli S, Egli DB, Rolinski S, and Müller C. 2019, Modelling cropping periods of grain crops at the global scale, Global and Planetary Change, 174, 35-46, doi: 10.1016/j.gloplacha.2018.12.013.

[119] Minoli S, Müller C, Elliott J, Ruane AC, Jägermeyr J, Zabel F, Dury M, Folberth C, François L, Hank T, Jacquemin I, Liu W, Olin S, and Pugh TAM. 2019, Global Response Patterns of Major Rainfed Crops to Adaptation by Maintaining Current Growing Periods and Irrigation, Earth's Future, 7, 1464-1480, doi: 10.1029/2018EF001130.

[118] Müller C, Elliott J, Kelly D, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Hoek S, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Wang X, de Wit A, and Yang H. 2019, The Global Gridded Crop Model Intercomparison phase 1 simulation dataset, Scientific Data, 6, 50, doi: 10.1038/s41597-019-0023-8.

[117] Porwollik V, Rolinski S, Heinke J, and Müller C. 2019, Generating a rule-based global gridded tillage dataset, Earth Syst. Sci. Data, 11, 823-843, doi: 10.5194/essd-11-823-2019.

[116] Schauberger B, Rolinski S, Schaphoff S, and Müller C. 2019, Global historical soybean and wheat yield loss estimates from ozone pollution considering water and temperature as modifying effects, Agricultural and Forest Meteorology, 265, 1-15, doi: 10.1016/j.agrformet.2018.11.004.

[115] Seufert V, Granath G, and Müller C. 2019, A meta-analysis of crop response patterns to nitrogen limitation for improved model representation, PLOS ONE, 14, e0223508, doi: 10.1371/journal.pone.0223508.

[114] Schewe J, Gosling SN, Reyer C, Zhao F, Ciais P, Elliott J, Francois L, Huber V, Lotze HK, Seneviratne SI, van Vliet MTH, Vautard R, Wada Y, Breuer L, Büchner M, Carozza DA, Chang J, Coll M, Deryng D, de Wit A, Eddy TD, Folberth C, Frieler K, Friend AD, Gerten D, Gudmundsson L, Hanasaki N, Ito A, Khabarov N, Kim H, Lawrence P, Morfopoulos C, Müller C, Müller Schmied H, Orth R, Ostberg S, Pokhrel Y, Pugh TAM, Sakurai G, Satoh Y, Schmid E, Stacke T, Steenbeek J, Steinkamp J, Tang Q, Tian H, Tittensor DP, Volkholz J, Wang X, and Warszawski L. 2019, State-of-the-art global models underestimate impacts from climate extremes, Nat. Commun., 10, 1005, doi: 10.1038/s41467-019-08745-6.

[113] Zhu P, Zhuang Q, Archontoulis SV, Bernacchi C, and Müller C. 2019, Dissecting the nonlinear response of maize yield to high temperature stress with model-data integration, Global Change Biology, 25, 2470-2484, doi: 10.1111/gcb.14632.

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2018

[112] Beerling DJ, Leake JR, Long SP, Scholes JD, Ton J, Nelson PN, Bird M, Kantzas E, Taylor LL, Sarkar B, Kelland M, DeLucia E, Kantola I, Müller C, Rau G, and Hansen J. 2018, Farming with crops and rocks to address global climate, food and soil security, Nature Plants, doi: 10.1038/s41477-018-0108-y.

[111] von Bloh W, Schaphoff S, Müller C, Rolinski S, Waha K, and Zaehle S. 2018, Implementing the nitrogen cycle into the dynamic global vegetation, hydrology, and crop growth model LPJmL (version 5.0), Geosci. Model Dev., 11, 2789-2812, doi: 10.5194/gmd-11-2789-2018.

[110] Challinor AJ, Müller C, Asseng S, Deva C, Nicklin KJ, Wallach D, Vanuytrecht E, Whitfield S, Ramirez-Villegas J, and Koehler A-K. 2018, Improving the use of crop models for risk assessment and climate change adaptation, Agricultural Systems, 159, 296-306, doi: 10.1016/j.agsy.2017.07.010.

[109] Durand J-L, Delusca K, Boote K, Lizaso J, Manderscheid R, Weigel HJ, Ruane AC, Rosenzweig C, Jones J, Ahuja L, Anapalli S, Basso B, Baron C, Bertuzzi P, Biernath C, Deryng D, Ewert F, Gaiser T, Gayler S, Heinlein F, Kersebaum KC, Kim S-H, Müller C, Nendel C, Olioso A, Priesack E, Villegas JR, Ripoche D, Rötter RP, Seidel SI, Srivastava A, Tao F, Timlin D, Twine T, Wang E, Webber H, and Zhao Z. 2018, How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield?, European Journal of Agronomy, 100, 67-75, doi: 10.1016/j.eja.2017.01.002.

[108] Fronzek S, Pirttioja N, Carter TR, Bindi M, Hoffmann H, Palosuo T, Ruiz-Ramos M, Tao F, Trnka M, Acutis M, Asseng S, Baranowski P, Basso B, Bodin P, Buis S, Cammarano D, Deligios P, Destain M-F, Dumont B, Ewert F, Ferrise R, François L, Gaiser T, Hlavinka P, Jacquemin I, Kersebaum KC, Kollas C, Krzyszczak J, Lorite IJ, Minet J, Minguez MI, Montesino M, Moriondo M, Müller C, Nendel C, Öztürk I, Perego A, Rodríguez A, Ruane AC, Ruget F, Sanna M, Semenov MA, Slawinski C, Stratonovitch P, Supit I, Waha K, Wang E, Wu L, Zhao Z, and Rötter RP. 2018, Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change, Agricultural Systems, 159, 209-224, doi: 10.1016/j.agsy.2017.08.004.

[107] Hattermann FF, Vetter T, Breuer L, Buda S, Daggupati P, Donnelly C, Fekete B, Flörke F, Gosling SN, Hoffmann P, Liersch S, Masaki Y, Motovilov Y, Müller C, Samaniego L, Stacke T, Wada Y, Yang T, and Krysnaova V. 2018, Sources of uncertainty in hydrological climate impact assessment: a cross-scale study, Environmental Research Letters, 13, 015006, doi: 10.1088/1748-9326/aa9938.

[106] Humpenöder F, Popp A, Bodirsky BL, Weindl I, Biewald A, Lotze-Campen H, Dietrich JP, Klein D, Kreidenweis U, Müller C, Rolinski S, and Stevanovic M. 2018, Large-scale bioenergy production: how to resolve sustainability trade-offs?, Environmental Research Letters, 13, 024011, doi: 10.1088/1748-9326/aa9e3b.

[105] Krause A, Pugh Thomas AM, Bayer Anita D, Li W, Leung F, Bondeau A, Doelman Jonathan C, Humpenöder F, Anthoni P, Bodirsky Benjamin L, Ciais P, Müller C, Murray-Tortarolo G, Olin S, Popp A, Sitch S, Stehfest E, and Arneth A. 2018, Large uncertainty in carbon uptake potential of land-based climate-change mitigation efforts, Global Change Biology, 24, 3025-3038, doi: 10.1111/gcb.14144.

[104] Liu W, Yang H, Folberth C, Müller C, Ciais P, Abbaspour KC, and Schulin R. 2018, Achieving High Crop Yields with Low Nitrogen Emissions in Global Agricultural Input Intensification, Environmental Science & Technology, 52, 13782-13791, doi: 10.1021/acs.est.8b03610.

[103] Martre P, Kimball BA, Ottman MJ, Wall GW, White JW, Asseng S, Ewert F, Cammarano D, Maiorano A, Aggarwal PK, Anothai J, Basso B, Biernath C, Challinor AJ, Sanctis GD, Doltra J, Dumont B, Fereres E, Garcia-Vila M, Gayler S, Hoogenboom G, Hunt LA, Izaurralde RC, Jabloun M, Jones CD, Kassie BT, Kersebaum KC, Koehler A-K, Müller C, Kumar SN, Liu B, Lobell DB, Nendel C, O'Leary G, Olesen JE, Palosuo T, Priesack E, Rezaei EE, Ripoche D, Rötter RP, Semenov MA, Stöckle C, Stratonovitch P, Streck T, Supit I, Tao F, Thorburn P, Waha K, Wang E, Wolf J, Zhao Z, and Zhu Y. 2018, The Hot Serial Cereal Experiment for modeling wheat response to temperature: field experiments and AgMIP-Wheat multi-model simulations, Open Data journal for Agicultural Research, 4, 28-34 doi: 10.18174/odjar.v4i0.15830

[102] van Meijl H, Havlik P, Lotze-Campen H, Stehfest E, Witzke P, Domínguez IP, Bodirsky BL, van Dijk M, Doelman J, Fellmann T, Humpenöder F, Koopman JFL, Müller C, Popp A, Tabeau A, Valin H, and van Zeist W-J. 2018, Comparing impacts of climate change and mitigation on global agriculture by 2050, Environmental Research Letters, 13, 064021, doi: 10.1088/1748-9326/aabdc4.

[101] Müller C, Elliott J, Pugh TAM, Ruane AC, Ciais P, Balkovic J, Deryng D, Folberth C, Izaurralde RC, Jones CD, Khabarov N, Lawrence P, Liu W, Reddy AD, Schmid E, and Wang X. 2018, Global patterns of crop yield stability under additional nutrient and water inputs, PLOS ONE, 13, e0198748, doi: 10.1371/journal.pone.0198748.

[100] Rolinski S, Müller C, Heinke J, Weindl I, Biewald A, Bodirsky BL, Bondeau A, Boons-Prins ER, Bouwman AF, Leffelaar PA, te Roller JA, Schaphoff S, and Thonicke K. 2018, Modeling vegetation and carbon dynamics of managed grasslands at the global scale with LPJmL 3.6, Geosci. Model Dev., 11, 429-451, doi: 10.5194/gmd-11-429-2018.

[99] Rosenzweig C, Ruane AC, Antle J, Elliott J, Ashfaq M, Chatta AA, Ewert F, Folberth C, Hathie I, Havlik P, Hoogenboom G, Lotze-Campen H, MacCarthy DS, Mason D, Croz D, Contreras EM, Müller C, Perez-Dominguez I, Phillips M, Porter C, Raymundo RM, Sands RD, Schleussner C-F, Valdivia RO, Valin H, and Wiebe K. 2018, Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376, doi: 10.1098/rsta.2016.0455.

[98] Rötter RP, Hoffmann MP, Koch M, and Müller C. 2018, Progress in modelling agricultural impacts of and adaptations to climate change, Curr Opin Plant Biol, 45, 255-261, doi: 10.1016/j.pbi.2018.05.009.

[97] Ruane AC, Antle J, Elliott J, Folberth C, Hoogenboom G, Mason-D’Croz D, Müller C, Porter C, Phillips MM, Raymundo RM, Sands R, Valdivia RO, White JW, Wiebe K, and Rosenzweig C. 2018, Biophysical and economic implications for agriculture of +1.5° and +2.0°C global warming using AgMIP Coordinated Global and Regional Assessments, Climate Research, 76, 17-39, doi: 10.3354/cr01520.

[96] Schaphoff S, von Bloh W, Rammig A, Thonicke K, Biemans H, Forkel M, Gerten D, Heinke J, Jägermeyr J, Knauer J, Langerwisch F, Lucht W, Müller C, Rolinski S, and Waha K. 2018, LPJmL4 – a dynamic global vegetation model with managed land – Part 1: Model description, Geosci. Model Dev., 11, 1343-1375, doi: 10.5194/gmd-11-1343-2018.

[95] Schaphoff S, Forkel M, Müller C, Knauer J, von Bloh W, Gerten D, Jägermeyr J, Lucht W, Rammig A, Thonicke K, and Waha K. 2018, LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation, Geosci. Model Dev., 11, 1377-1403, doi: 10.5194/gmd-11-1377-2018.

[94] Schleussner C-F, Deryng D, Müller C, Elliott J, Saeed F, Folberth C, Liu W, Wang X, Pugh TAM, Thiery W, Seneviratne SI, and Rogelj J. 2018, Crop productivity changes in 1.5°C and 2°C worlds under climate sensitivity uncertainty, Environmental Research Letters, 13, 064007, doi: 10.1088/1748-9326/aab63b.

[93] Villoria NB, Elliott J, Müller C, Shin J, Zhao L, and Song C. 2018, Web-based access, aggregation, and visualization of future climate projections with emphasis on agricultural assessments, SoftwareX, 7, 15-22, doi: 10.1016/j.softx.2017.11.004.

[92] Wallach D, Martre P, Liu B, Asseng S, Ewert F, Thorburn PJ, Ittersum M, Aggarwal PK, Ahmed M, Basso B, Biernath C, Cammarano D, Challinor AJ, De Sanctis G, Dumont B, Eyshi Rezaei E, Fereres E, Fitzgerald GJ, Gao Y, Garcia-Vila M, Gayler S, Girousse C, Hoogenboom G, Horan H, Izaurralde RC, Jones CD, Kassie BT, Kersebaum KC, Klein C, Koehler A-K, Maiorano A, Minoli S, Müller C, Naresh Kumar S, Nendel C, O'Leary GJ, Palosuo T, Priesack E, Ripoche D, Rötter RP, Semenov MA, Stöckle C, Stratonovitch P, Streck T, Supit I, Tao F, Wolf J, and Zhang Z. 2018, Multimodel ensembles improve predictions of crop–environment–management interactions, Global Change Biology, 24, 5072-5083, doi: 10.1111/gcb.14411.

[91] Wartenburger R, Seneviratne SI, Hirschi M, Chang J, Ciais P, Deryng D, Elliott J, Folberth C, Gosling SN, Gudmundsson L, Henrot A-J, Hickler T, Ito A, Khabarov N, Kim H, Leng G, Liu J, Liu X, Masaki Y, Morfopoulos C, Müller C, Müller Schmied H, Nishina K, Orth R, Pokhrel Y, Pugh TAM, Satoh Y, Schaphoff S, Schmid E, Sheffield J, Stacke T, Steinkamp J, Tang Q, Thiery W, Wada Y, Wang X, Weedon GP, Yang H, and Zhou T. 2018, Evapotranspiration simulations in ISIMIP2a—Evaluation of spatio-temporal characteristics with a comprehensive ensemble of independent datasets, Environmental Research Letters, 13, 075001, doi: 10.1088/1748-9326/aac4bb.

[90] Webber H, Ewert F, Olesen JE, Müller C, Fronzek S, Ruane AC, Bourgault M, Martre P, Ababaei B, Bindi M, Ferrise R, Finger R, Fodor N, Gabaldón-Leal C, Gaiser T, Jabloun M, Kersebaum K-C, Lizaso JI, Lorite IJ, Manceau L, Moriondo M, Nendel C, Rodríguez A, Ruiz-Ramos M, Semenov MA, Siebert S, Stella T, Stratonovitch P, Trombi G, and Wallach D. 2018, Diverging importance of drought stress for maize and winter wheat in Europe, Nat. Commun., 9, 4249, doi: 10.1038/s41467-018-06525-2.

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2017

[89] Blanchard JL, Watson RA, Fulton EA, Cottrell RS, Nash KL, Bryndum-Buchholz A, Büchner M, Carozza DA, Cheung WWL, Elliott J, Davidson LNK, Dulvy NK, Dunne JP, Eddy TD, Galbraith E, Lotze HK, Maury O, Müller C, Tittensor DP, and Jennings S. 2017, Linked sustainability challenges and trade-offs among fisheries, aquaculture and agriculture, Nature Ecology & Evolution, 1, 1240-1249, doi: 10.1038/s41559-017-0258-8.

[88] Daioglou V, Doelman JC, Stehfest E, Müller C, Wicke B, Faaij A, and van Vuuren DP. 2017, Greenhouse gas emission curves for advanced biofuel supply chains, Nature Climate Change, 7, 920-924, doi: 10.1038/s41558-017-0006-8.

[87] Frieler K, Schauberger B, Arneth A, Balkovic J, Chryssanthacopoulos J, Deryng D, Elliott J, Folberth C, Khabarov N, Müller C, Olin S, Pugh TAM, Schaphoff S, Schewe J, Schmid E, Warszawski L, and Levermann A. 2017, Understanding the weather signal in national crop-yield variability, Earth's Future, 5, 605-616, doi: 10.1002/2016EF000525.

[86] Hattermann FF, Krysanova V, Gosling SN, Dankers R, Daggupati P, Donnelly C, Flörke M, Huang S, Motovilov Y, Buda S, Yang T, Müller C, Leng G, Tang Q, Portmann FT, Hagemann S, Gerten D, Wada Y, Masaki Y, Alemayehu T, Satoh Y, and Samaniego L. 2017, Cross-scale intercomparison of climate change impacts simulated by regional and global hydrological models in eleven large river basins, Climatic Change, 1-16, doi: 10.1007/s10584-016-1829-4.

[85] Kriegler E, Bauer N, Popp A, Humpenöder F, Leimbach M, Strefler J, Baumstark L, Bodirsky BL, Hilaire J, Klein D, Mouratiadou I, Weindl I, Bertram C, Dietrich J-P, Luderer G, Pehl M, Pietzcker R, Piontek F, Lotze-Campen H, Biewald A, Bonsch M, Giannousakis A, Kreidenweis U, Müller C, Rolinski S, Schultes A, Schwanitz J, Stevanovic M, Calvin K, Emmerling J, Fujimori S, and Edenhofer O. 2017, Fossil-fueled development (SSP5): An energy and resource intensive scenario for the 21st century, Global Environmental Change, 42, 297-315, doi: 10.1016/j.gloenvcha.2016.05.015.

[84] Maiorano A, Martre P, Asseng S, Ewert F, Müller C, Rötter RP, Ruane AC, Semenov MA, Wallach D, Wang E, Alderman PD, Kassie BT, Biernath C, Basso B, Cammarano D, Challinor AJ, Doltra J, Dumont B, Rezaei EE, Gayler S, Kersebaum KC, Kimball BA, Koehler A-K, Liu B, O’Leary GJ, Olesen JE, Ottman MJ, Priesack E, Reynolds M, Stratonovitch P, Streck T, Thorburn PJ, Waha K, Wall GW, White JW, Zhao Z, and Zhu Y. 2017, Crop model improvement reduces the uncertainty of the response to temperature of multi-model ensembles, Field Crops Research, 202, 5-20, doi: 10.1016/j.fcr.2016.05.001.

[83] Martre P, Reynolds MP, Asseng S, Ewert F, Alderman PD, Cammarano D, Maiorano A, Ruane AC, Aggarwal PK, Anothai J, Basso B, Biernath C, Challinor AJ, Sanctis GD, Doltra J, Dumont B, Fereres E, Garcia-Vila M, Gayler S, Hoogenboom G, Hunt LA, Izaurralde RC, Jabloun M, Jones CD, Kassie BT, Kersebaum KC, Koehler A-K, Müller C, Kumar SN, Liu B, Lobell DB, Nendel C, O'Leary G, Olesen JE, Palosuo T, Priesack E, Rezaei EE, Ripoche D, Rötter RP, Semenov MA, Stöckle C, Stratonovitch P, Streck T, Supit I, Tao F, Thorburn P, Waha K, Wang E, White JW, Wolf J, Zhao Z, and Zhu Y. 2017, The International Heat Stress Genotype Experiment for modeling wheat response to heat: field experiments and AgMIP-Wheat multi-model simulations, Open Data Journal for Agricultural Research, 3, 23-28, doi: 10.18174/odjar.v3i1.15766.

[82] Müller C, Elliott J, Chryssanthacopoulos J, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Glotter M, Hoek S, Iizumi T, Izaurralde RC, Jones C, Khabarov N, Lawrence P, Liu W, Olin S, Pugh TAM, Ray DK, Reddy A, Rosenzweig C, Ruane AC, Sakurai G, Schmid E, Skalsky R, Song CX, Wang X, de Wit A, and Yang H. 2017, Global gridded crop model evaluation: benchmarking, skills, deficiencies and implications, Geosci. Model Dev., 10, 1403-1422, doi: 10.5194/gmd-10-1403-2017.

[81] Porwollik V, Müller C, Elliott J, Chryssanthacopoulos J, Iizumi T, Ray DK, Ruane AC, Arneth A, Balkovic J, Ciais P, Deryng D, Folberth C, Izaurralde RC, Jones CD, Khabarov N, Lawrence PJ, Liu W, Pugh TAM, Reddy A, Sakurai G, Schmid E, Wang X, de Wit A, and Wu X. 2017, Spatial and temporal uncertainty of crop yield aggregations, European Journal of Agronomy, 88, 10-21, doi: 10.1016/j.eja.2016.08.006.

[80] Ruane AC, Rosenzweig C, Asseng S, Boote KJ, Elliott J, Ewert F, Jones JW, Martre P, McDermid SP, Müller C, Snyder A, and Thorburn PJ. 2017, An AgMIP framework for improved agricultural representation in integrated assessment models, Environmental Research Letters, 12, 125003, doi: 10.1088/1748-9326/aa8da6.

[79] Schauberger B, Archontoulis S, Arneth A, Balkovic J, Ciais P, Deryng D, Elliott J, Folberth C, Khabarov N, Müller C, Pugh TAM, Rolinski S, Schaphoff S, Schmid E, Wang X, Schlenker W, and Frieler K. 2017, Consistent negative response of US crops to high temperatures in observations and crop models, Nat. Commun., 8, 13931, doi: 10.1038/ncomms13931.

[78] Stevanovic M, Popp A, Bodirsky BL, Humpenöder F, Müller C, Weindl I, Dietrich JP, Lotze-Campen H, Kreidenweis U, Rolinski S, Biewald A, and Wang X. 2017, Mitigation Strategies for Greenhouse Gas Emissions from Agriculture and Land-Use Change: Consequences for Food Prices, Environmental Science & Technology, doi: 10.1021/acs.est.6b04291.

[77] van Vuuren DP, Stehfest E, Gernaat DEHJ, Doelman JC, van den Berg M, Harmsen M, de Boer HS, Bouwman LF, Daioglou V, Edelenbosch OY, Girod B, Kram T, Lassaletta L, Lucas PL, van Meijl H, Müller C, van Ruijven BJ, van der Sluis S, and Tabeau A. 2017, Energy, land-use and greenhouse gas emissions trajectories under a green growth paradigm, Global Environmental Change, 42, 237-250, doi: 10.1016/j.gloenvcha.2016.05.008.

[76] Wang E, Martre P, Zhao Z, Ewert F, Maiorano A, Rötter RP, Kimball BA, Ottman MJ, Wall GW, White JW, Reynolds MP, Alderman PD, Aggarwal PK, Anothai J, Basso B, Biernath C, Cammarano D, Challinor AJ, De Sanctis G, Doltra J, Fereres E, Garcia-Vila M, Gayler S, Hoogenboom G, Hunt LA, Izaurralde RC, Jabloun M, Jones CD, Kersebaum KC, Koehler A-K, Liu L, Müller C, Naresh Kumar S, Nendel C, O'Leary G, Olesen JE, Palosuo T, Priesack E, Eyshi Rezaei E, Ripoche D, Ruane AC, Semenov MA, Shcherbak I, Stöckle C, Stratonovitch P, Streck T, Supit I, Tao F, Thorburn P, Waha K, Wallach D, Wang Z, Wolf J, Zhu Y, and Asseng S. 2017, The uncertainty of crop yield projections is reduced by improved temperature response functions, Nature Plants, 3, 17102, doi: 10.1038/nplants.2017.102.

[75] Weindl I, Bodirsky BL, Rolinski S, Biewald A, Lotze-Campen H, Müller C, Dietrich JP, Humpenöder F, Stevanovic M, Schaphoff S, and Popp A. 2017, Livestock production and the water challenge of future food supply: Implications of agricultural management and dietary choices, Global Environmental Change, 47, 121-132, doi: 10.1016/j.gloenvcha.2017.09.010.

[74] Zhao C, Liu B, Piao S, Wang X, Lobell DB, Huang Y, Huang M, Yao Y, Bassu S, Ciais P, Durand J-L, Elliott J, Ewert F, Janssens IA, Li T, Lin E, Liu Q, Martre P, Müller C, Peng S, Peñuelas J, Ruane AC, Wallach D, Wang T, Wu D, Liu Z, Zhu Y, Zhu Z, and Asseng S. 2017, Temperature increase reduces global yields of major crops in four independent estimates, Proceedings of the National Academy of Sciences, 114, 9326-9331, doi: 10.1073/pnas.1701762114.

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2016

[73] Cammarano D, Rötter RP, Asseng S, Ewert F, Wallach D, Martre P, Hatfield JL, Jones JW, Rosenzweig C, Ruane AC, Boote KJ, Thorburn PJ, Kersebaum KC, Aggarwal PK, Angulo C, Basso B, Bertuzzi P, Biernath C, Brisson N, Challinor AJ, Doltra J, Gayler S, Goldberg R, Heng L, Hooker JE, Hunt LA, Ingwersen J, Izaurralde RC, Müller C, Naresh Kumar S, Nendel C, O’Leary G, Olesen JE, Osborne TM, Palosuo T, Priesack E, Ripoche D, Semenov M, Shcherbak I, Steduto P, Stöckle CO, Stratonovitch P, Streck T, Supit I, Tao F, Travasso M, Waha K, White JW, and Wolf J. 2016, Uncertainty of wheat water use: Simulated patterns and sensitivity to temperature and CO2, Field Crops Research, 198, 80-92, doi: 10.1016/j.fcr.2016.08.015.

[72] Deryng D, Elliott J, Folberth C, Müller C, Pugh TAM, Boote KJ, Conway D, Ruane AC, Gerten D, Jones JW, Khabarov N, Olin S, Schaphoff S, Schmid E, Yang H, and Rosenzweig C. 2016, Regional disparities in the beneficial effects of rising CO2 concentrations on crop water productivity, Nature Clim. Change, 6, 786-790, doi: 10.1038/nclimate2995.

[71] Liu B, Asseng S, Müller C, Ewert F, Elliott J, Lobell DB, Martre P, Ruane AC, Wallach D, Jones JW, Rosenzweig C, Aggarwal PK, Alderman PD, Anothai J, Basso B, Biernath C, Cammarano D, Challinor A, Deryng D, Sanctis GD, Doltra J, Fereres E, Folberth C, Garcia-Vila M, Gayler S, Hoogenboom G, Hunt LA, Izaurralde RC, Jabloun M, Jones CD, Kersebaum KC, Kimball BA, Koehler A-K, Kumar SN, Nendel C, Oleary G, Olesen JE, Ottman MJ, Palosuo T, Prasad PVV, Priesack E, Pugh TAM, Reynolds M, Rezaei EE, Rotter RP, Schmid E, Semenov MA, Shcherbak I, Stehfest E, Stockle CO, Stratonovitch P, Streck T, Supit I, Tao F, Thorburn P, Waha K, Wall GW, Wang E, White JW, Wolf J, Zhao Z, and Zhu Y. 2016, Similar estimates of temperature impacts on global wheat yield by three independent methods, Nature Clim. Change, 6, 1130-1136, doi: 10.1038/nclimate3115.

[70] Müller C, Stehfest E, van Minnen JG, Strengers B, von Bloh W, Beusen AHW, Schaphoff S, Kram T and Lucht W. 2016, Drivers and patterns of land biosphere carbon balance reversal. Environmental Research Letters, 11, 044002, doi: 10.1088/1748-9326/11/4/044002

[69] Pugh TAM, Müller C, Elliott J, Deryng D, Folberth C, Olin S, Schmid E, and Arneth A. 2016, Climate analogues suggest limited potential for intensification of production on current croplands under climate change, Nat. Commun., 7, 12608, doi: 10.1038/ncomms12608

[68] Pugh TAM, Müller C, Arneth A, Haverd V, and Smith B. 2016, Key knowledge and data gaps in modelling the influence of CO2 concentration on the terrestrial carbon sink, J Plant Physiol, 203, 3-15, doi: 10.1016/j.jplph.2016.05.001

[67] Ruane AC, Hudson NI, Asseng S, Camarrano D, Ewert F, Martre P, Boote KJ, Thorburn PJ, Aggarwal PK, Angulo C, Basso B, Bertuzzi P, Biernath C, Brisson N, Challinor AJ, Doltra J, Gayler S, Goldberg R, Grant RF, Heng L, Hooker J, Hunt LA, Ingwersen J, Izaurralde RC, Kersebaum KC, Kumar SN, Müller C, Nendel C, O'Leary G, Olesen JE, Osborne TM, Palosuo T, Priesack E, Ripoche D, Rötter RP, Semenov MA, Shcherbak I, Steduto P, Stöckle CO, Stratonovitch P, Streck T, Supit I, Tao F, Travasso M, Waha K, Wallach D, White JW, and Wolf J. 2016, Multi-wheat-model ensemble responses to interannual climate variability, Environmental Modelling & Software, 81, 86-101, doi: 10.1016/j.envsoft.2016.03.008.

[66] Schauberger B, Rolinski S, and Müller C. 2016, A network-based approach for semi-quantitative knowledge mining and its application to yield variability, Environmental Research Letters, 11, 123001, doi: 10.1088/1748-9326/11/12/123001.

[65] Stevanovic M, Popp A, Lotze-Campen H, Dietrich JP, Müller C, Bonsch M, Schmitz C, Bodirsky BL, Humpenöder F, and Weindl I. 2016, The impact of high-end climate change on agricultural welfare, Science Advances, 2, e1501452, doi: 10.1126/sciadv.1501452.

[64] Villoria NB, Elliott J, Müller C, Shin J, Zhao L, and Song C. 2016, Rapid aggregation of global gridded crop model outputs to facilitate cross-disciplinary analysis of climate change impacts in agriculture, Environmental Modelling & Software, 75, 193-201, doi: 10.1016/j.envsoft.2015.10.016.

[63] Zhao C, Piao S, Wang X, Huang Y, Ciais P, Elliott J, Huang M, Janssens IA, Li T, Lian X, Liu Y, Müller C, Peng S, Wang T, Zeng Z, and Peñuelas J. 2016, Plausible rice yield losses under future climate warming, Nature Plants, 3, 16202, doi: 10.1038/nplants.2016.202

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2015

[62] Asseng S, Ewert F, Martre P, Rotter RP, Lobell DB, Cammarano D, Kimball BA, Ottman MJ, Wall GW, White JW, Reynolds MP, Alderman PD, Prasad PVV, Aggarwal PK, Anothai J, Basso B, Biernath C, Challinor AJ, De Sanctis G, Doltra J, Fereres E, Garcia-Vila M, Gayler S, Hoogenboom G, Hunt LA, Izaurralde RC, Jabloun M, Jones CD, Kersebaum KC, Koehler AK, Müller C, Naresh Kumar S, Nendel C, O'Leary G, Olesen JE, Palosuo T, Priesack E, Eyshi Rezaei E, Ruane AC, Semenov MA, Shcherbak I, Stockle C, Stratonovitch P, Streck T, Supit I, Tao F, Thorburn PJ, Waha K, Wang E, Wallach D, Wolf J, Zhao Z, and Zhu Y. 2015, Rising temperatures reduce global wheat production, Nature Clim. Change, 5, 143-147, doi: 10.1038/nclimate2470.

[61] Asseng S, Ewert F, Martre P, Rosenzweig C, Jones J, Hatfield J, Ruane A, Boote K, Thorburn P, Rötter R, Cammarano D, Basso B, Aggarwal P, Angulo C, Bertuzzi P, Biernath C, Challinor A, Doltra J, Gayler S, Goldberg R, Grant R, Heng L, Hooker J, Hunt T, Ingwersen J, Izaurralde C, Kersebaum C, Müller C, Kumar SN, Nendel C, O’Leary G, Olesen J, Osborne T, Palosuo T, Priesack E, Ripoche D, Semenov M, Shcherbak I, Steduto P, Stöckle C, Stratonovitch P, Streck T, Supit I, Tao F, Travasso M, Waha K, Wallach D, White J, Williams J, and Wolf J. 2015, Benchmark data set for wheat growth models: field experiments and AgMIP multi-model simulations, Open Data journal for Agicultural Research, 1, 1-5, doi: 10.18174/odjar.v1i1.14746.

[60] van Bussel LGJ, Stehfest E, Siebert S, Müller C, and Ewert F. 2015, Simulation of the phenological development of wheat and maize at the global scale, Global Ecology and Biogeography, 24, 1018-1029, doi: 10.1111/geb.12351.

[59] Elliott J, Müller C, Deryng D, Chryssanthacopoulos J, Boote KJ, Büchner M, Foster I, Glotter M, Heinke J, Iizumi T, Izaurralde RC, Mueller ND, Ray DK, Rosenzweig C, Ruane AC, and Sheffield J 2015, The Global Gridded Crop Model intercomparison: data and modeling protocols for Phase 1 (v1.0). Geosci. Model Dev. 8, 261-277, doi:10.5194/gmd-8-261-2015.

[58] Humpenöder F, Popp A, Stevanovic M, Müller C, Bodirsky BL, Bonsch M, Dietrich JP, Lotze-Campen H, Weindl I, Biewald A, and Rolinski S. 2015, Land-Use and Carbon Cycle Responses to Moderate Climate Change: Implications for Land-Based Mitigation?, Environmental Science & Technology, 49, 6731-6739, doi: 10.1021/es506201r.

[57] Kollas C, Kersebaum KC, Nendel C, Manevski K, Müller C, Palosuo T, Armas-Herrera CM, Beaudoin N, Bindi M, Charfeddine M, Conradt T, Constantin J, Eitzinger J, Ewert F, Ferrise R, Gaiser T, Cortazar-Atauri IGd, Giglio L, Hlavinka P, Hoffmann H, Hoffmann MP, Launay M, Manderscheid R, Mary B, Mirschel W, Moriondo M, Olesen JE, Öztürk I, Pacholski A, Ripoche-Wachter D, Roggero PP, Roncossek S, Rötter RP, Ruget F, Sharif B, Trnka M, Ventrella D, Waha K, Wegehenkel M, Weigel H-J, and Wu L. 2015, Crop rotation modelling—A European model intercomparison, European Journal of Agronomy, 70, 98-111, doi: 10.1016/j.eja.2015.06.007.

[56] Makowski D, Asseng S, Ewert F, Bassu S, Durand JL, Li T, Martre P, Adam M, Aggarwal PK, Angulo C, Baron C, Basso B, Bertuzzi P, Biernath C, Boogaard H, Boote KJ, Bouman B, Bregaglio S, Brisson N, Buis S, Cammarano D, Challinor AJ, Confalonieri R, Conijn JG, Corbeels M, Deryng D, De Sanctis G, Doltra J, Fumoto T, Gaydon D, Gayler S, Goldberg R, Grant RF, Grassini P, Hatfield JL, Hasegawa T, Heng L, Hoek S, Hooker J, Hunt LA, Ingwersen J, Izaurralde RC, Jongschaap REE, Jones JW, Kemanian RA, Kersebaum KC, Kim SH, Lizaso J, Marcaida Iii M, Müller C, Nakagawa H, Naresh Kumar S, Nendel C, O’Leary GJ, Olesen JE, Oriol P, Osborne TM, Palosuo T, Pravia MV, Priesack E, Ripoche D, Rosenzweig C, Ruane AC, Ruget F, Sau F, Semenov MA, Shcherbak I, Singh B, Singh U, Soo HK, Steduto P, Stöckle C, Stratonovitch P, Streck T, Supit I, Tang L, Tao F, Teixeira EI, Thorburn P, Timlin D, Travasso M, Rötter RP, Waha K, Wallach D, White JW, Wilkens P, Williams JR, Wolf J, Yin X, Yoshida H, Zhang Z, and Zhu Y. 2015, A statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration, Agricultural and Forest Meteorology, 214–215, 483-493, doi: 10.1016/j.agrformet.2015.09.013.

[55] Martre P, Wallach D, Asseng S, Ewert F, Jones JW, Rötter RP, Boote KJ, Ruane AC, Thorburn PJ, Cammarano D, Hatfield JL, Rosenzweig C, Aggarwal Pk, Angulo C, Basso B, Bertuzzi P, Biernath C, Brisson N, Challinor AJ, Doltra J, Gayler S, Goldberg R, Grant RF, Heng L, Hooker J, Hunt LA, Ingwersen J, Izaurralde RC, Kersebaum KC, Müller C, Kumar SN, Nendel C, o'Leary G, Olesen JE, Osborne TM, Palosuo T, Priesack E, Ripoche D, Semenov MA, Shcherbak I, Steduto P, Stöckle CO, Stratonovitch P, Streck T, Supit I, Tao F, Travasso M, Waha K, White JW, and Wolf J. 2015, Multimodel ensembles of wheat growth: Many models are better than one, Global Change Biology, 21, 2, 911-925, doi: 10.1111/gcb.12768.

[54] Müller C, Elliott J, Chryssanthacopoulos J, Deryng D, Folberth C, Pugh TAM, and Schmid E. 2015, Implications of climate mitigation for future agricultural production, Environmental Research Letters, 10, 125004, doi: 10.1088/1748-9326/10/12/125004.

[53] Pirttioja N, Carter TR, Fronzek S, Bindi M, Hoffmann H, Palosuo T, Ruiz-Ramos M, Tao F, Trnka M, Acutis M, Asseng S, Baranowski P, Basso B, Bodin P, Buis S, Cammarano D, Deligios P, Destain MF, Dumont B, Ewert F, Ferrise R, François L, Gaiser T, Hlavinka P, Jacquemin I, Kersebaum KC, Kollas C, Krzyszczak J, Lorite IJ, Minet J, Minguez MI, Montesino M, Moriondo M, Müller C, Nendel C, Öztürk I, Perego A, Rodríguez A, Ruane AC, Ruget F, Sanna M, Semenov MA, Slawinski C, Stratonovitch P, Supit I, Waha K, Wang E, Wu L, Zhao Z, and Rötter RP. 2015, Temperature and precipitation effects on wheat yield across a European transect: a crop model ensemble analysis using impact response surfaces, Climate Research, 65, 87-105, doi: 10.3354/cr01322

[52] Schmitz C, Kreidenweis U, Lotze-Campen H, Popp A, Krause M, Dietrich JP, and Müller C. 2015, Agricultural trade and tropical deforestation: Interactions and related policy options. Regional Environmental Change, 15, 8, 1757-1772, doi:10.1007/s10113-014-0700-2.

[51] Weindl I, Lotze-Campen H, Popp A, Müller C, Havlík P, Herrero M, Schmitz C, and Rolinski S. 2015, Livestock in a changing climate: production system transitions as an adaptation strategy for agriculture, Environmental Research Letters, 10, 094021, doi: 10.1088/1748-9326/10/9/094021

[50] Wiebe K, Lotze-Campen H, Sands R, Tabeau A, van der Mensbrugghe D, Biewald A, Bodirsky B, Islam S, Kavallari A, Mason-D’Croz D, Müller C, Popp A, Robertson R, Robinson S, van Meijl H, and Willenbockel D. 2015, Climate change impacts on agriculture in 2050 under a range of plausible socioeconomic and emissions scenarios, Environmental Research Letters, 10, 085010, doi: 10.1088/1748-9326/10/8/085010.

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2014

[49] Bassu S, Brisson N, Durand J-L, Boote K, Lizaso J, Jones JW, Rosenzweig C, Ruane AC, Adam M, Baron C, Basso B, Biernath C, Boogaard H, Conijn S, Corbeels M, Deryng D, De Sanctis G, Gayler S, Grassini P, Hatfield J, Hoek S, Izaurralde C, Jongschaap R, Kemanian AR, Kersebaum KC, Kumar NS, Makowski D, Müller C, Nendel C, Priesack E, Pravia MV, Soo HK, Sau F, Shcherbak I, Tao F, Teixeira E, Timlin D, and Waha K. 2014, Do various maize crop models give the same responses to climate change factors? Global Change Biology, 20, 7, 2301-2320, doi: 10.1111/gcb.12520.

[48] Bodirsky BL and Müller C. 2014, Robust Relationship between Yields and Nitrogen Inputs Indicates Three Ways to Reduce Nitrogen Pollution. Environmental Research Letters 9 (11): 111005. doi:10.1088/1748-9326/9/11/111005.

[47] Bodirsky BL, Popp A, Lotze-Campen H, Dietrich JP, Rolinski S, Weindl I, Schmitz C, Müller C, Bonsch M, Humpenöder F, Biewald A, and Stevanovic M. 2014, Reactive nitrogen requirements to feed the world in 2050 and potential to mitigate nitrogen pollution, Nature Communications, 5, 3858, doi: 10.1038/ncomms4858.

[46] Dietrich JP, Schmitz C, Lotze-Campen H, Popp A, and Müller C. 2014, Forecasting technological change in agriculture - An endogenous implementation in a global land use model. Technological Forecasting and Social Change, 81, 236–249. doi: 10.1016/j.techfore.2013.02.003.

[45] Elliott J, Deryng D, Müller C, Frieler K, Konzmann M, Gerten D, Glotter M, Flörke M, Wada Y, Best N, Eisner S, Fekete B, Folberth C, Foster I, Gosling SN, Haddeland I, Khabarov N, Ludwig F, Masaki Y, Olin S, Rosenzweig C, Ruane AC, Satoh Y, Schmid E, Stacke T, Tang Q, and Wisser D. 2014, Constraints and potentials of future irrigation water availability on agricultural production under climate change, Proceedings of the National Academy of Sciences of the United States of America, 111, 9, 3239-3244, doi: 10.1073/pnas.1222474110.

[44] Graef F, Sieber S, Mutabazi K, Asch F, Biesalski HK, Bitegeko J, Bokelmann W, Bruentrup M, Dietrich O, Elly N, Fasse A, Germer JU, Grote U, Herrmann L, Herrmann R, Hoffmann H, Kahimba FC, Kaufmann B, Kersebaum KC, Kilembe C, Kimaro A, Kinabo J, König B, König H, Lana M, Levy C, Lyimo-Macha J, Makoko B, Mazoko G, Mbaga SH, Mbogoro W, Milling H, Mtambo K, Müller J, Müller C, Müller K, Nkonja E, Reif C, Ringler C, Ruvuga S, Schaefer M, Sikira A, Silayo V, Stahr K, Swai E, Tumbo S, and Uckert G. 2014, Framework for participatory food security research in rural food value chains, Global Food Security, 3, 8-15, doi: 10.1016/j.gfs.2014.01.001. [open access]

[43] Humpenöder F, Popp A, Dietrich J, Klein D, Lotze-Campen H, Bonsch M, Bodirsky B, Weindl I, Stevanovic M, and Müller C. 2014, Investigating afforestation and bioenergy CCS as climate change mitigation strategies. Environmental Research Letters, 9 064029 doi:10.1088/1748-9326/9/6/064029.

[42] Kyle P, Müller C, Calvin K, and Thomson A. 2014, Meeting the Radiative Forcing Targets of the Representative Concentration Pathways with Agricultural Climate Impacts. Earth's Future, 2, 83-98, doi: 10.1002/2013EF000199.

[41] Müller C, Waha K, Bondeau A, and Heinke J. 2014, Hotspots of climate change impacts in sub-Saharan Africa and implications for adaptation and development. Global Change Biology, 20, 8, 2505–2517, doi: 10.1111/gcb.12586.

[40] Müller C, Elliott J, Levermann A. 2014, Food security: Fertilizing hidden hunger. Nature Climate Change, 4, 540-541, doi:10.1038/nclimate2290.

[39] Müller C and Robertson R. 2014, Projecting future crop productivity for global economic modeling. Agricultural Economics, 45, 1, 37-50, doi:10.1111/agec.12088.

[38] Nelson GC, van der Mensbrugghe D, Hasegawa T, Takahashi K, Sands R, Kyle P, Calvin K, Havlik P, Valin H, Mason d'Croz D, Kavallari A, Tabeau A, Schmitz C, Lotze-Campen H, Müller C, and von Lampe M. 2014, Agriculture and Climate Change in Global Scenarios: Why Don't the Models Agree. Agricultural Economics, 45, 1, 85-101, doi: 10.1111/agec.12091.

[37] Nelson GC, Valin H, Sands R, Havlík P, Ahammad H, Deryng D, Elliott J, Fujimori S, Heyhoe E, Kyle P, Von Lampe M, Lotze-Campen H, Mason d'Croz D, van Meijl H, van der Mensbrugghe D, Müller C, Popp A, Robertson R, Robinson S, Schmid E, Schmitz C, Tabeau A, and Willenbockel D. 2014, Climate change effects on agriculture: Economic responses to biophysical shocks, Proceedings of the National Academy of Sciences of the United States of America, 111, 9 3274-3279, doi: 10.1073/pnas.1222465110.

[36] Piontek F, Müller C, Pugh T, Clark D, Deryng D, Elliott J, Colón-González F, Flörke M, Folberth C, Fransseni W, Frieler K, Friend AD, Gosling S, Hemming D, Khabarov N, Kim H, Lomas M, Masaki Y, Mengel M, Morse A, Neumann K, Nishina K, Ostberg S, Pavlick R, Ruane A, Schewe J, Schmid E, Stacke T, Tang Q, Tessler Z, Tompkins A, Warszawski L, Wisser D, and Schellnhuber H. 2014, Multisectoral climate impact hotspots in a warming world, Proceedings of the National Academy of Sciences of the United States of America, 111, 9 3233-3238, doi: 10.1073/pnas.1222471110.

[35] Popp A, Humpenoder F, Weindl I, Bodirsky BL, Bonsch M, Lotze-Campen H, Müller C, Biewald A, Rolinski S, Stevanovic M, and Dietrich JP. 2014, Land-use protection for climate change mitigation, Nature Clim. Change, 4, 1095-1098, doi: 10.1038/nclimate2444.

[34] Rosenzweig C, Elliott J, Deryng D, Ruane AC, Müller C, Arneth A, Boote KJ, Folberth C, Glotter M, Khabarov N, Neumann K, Piontek F, Pugh TAM, Schmid E, Stehfest E, Yang H, and Jones JW. 2014, Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison, Proceedings of the National Academy of Sciences of the United States of America, 111, 9, 3268-3273, doi: 10.1073/pnas.1222463110.

[33] Sakschewski B, von Bloh W, Huber V, Müller C, Bondeau A. 2014, Feeding 10 billion people under climate change: How large is the production gap of current agricultural systems? Ecological Modelling, 288, 103-111, doi: 10.1016/j.ecolmodel.2014.05.019.

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2013

[32] Asseng S, Ewert F, Rosenzweig C, Jones JW, Hatfield JL, Ruane AC, Boote KJ, Thorburn PJ, Rotter RP, Cammarano D, Brisson N, Basso B, Martre P, Aggarwal PK, Angulo C, Bertuzzi P, Biernath C, Challinor AJ, Doltra J, Gayler S, Goldberg R, Grant R, Heng L, Hooker J, Hunt LA, Ingwersen J, Izaurralde RC, Kersebaum KC, Müller C, Naresh Kumar S, Nendel C, O'Leary G, Olesen JE, Osborne TM, Palosuo T, Priesack E, Ripoche D, Semenov MA, Shcherbak I, Steduto P, Stockle C, Stratonovitch P, Streck T, Supit I, Tao F, Travasso M, Waha K, Wallach D, White JW, Williams JR, and Wolf J. 2013, Uncertainty in simulating wheat yields under climate change, Nature Clim. Change, 3, 827-832, doi: 10.1038/NCLIMATE1916.

[31] Dass P, Müller C, Brovkin V, and Cramer W. 2013, Can bioenergy cropping compensate high carbon emissions from large-scale deforestation of mid to high latitudes? Earth Syst. Dynam. , 4, 409-424, doi: 10.5194/esd-4-409-2013.

[30] Heinke J, Ostberg S, Schaphoff S, Frieler K, Müller C, Gerten D, Meinshausen M, and Lucht W. 2012, A new climate dataset for systematic assessments of climate change impacts as a function of global warming. Geosci. Model Dev., 6, 5, 1689-1703, doi:10.5194/gmd-6-1689-2013.

[29] Müller C. 2013, African lessons on climate change risks for agriculture. Annual Reviews of Nutrition. 33, 395-411, doi: 10.1146/annurev-nutr-071812-161121.

[28] Waha K, Müller C, and Rolinski S. 2013, Separating the effects of temperature and precipitation change on maize yields in sub-Saharan Africa. Global and Planetary Change, 106,1-12, doi: 10.1016/j.gloplacha.2013.02.009.

[27] Waha K, Müller C, Bondeau A, Dietrich JP, Kurukulasuriya P, Heinke J, Lotze-Campen H. 2013, Adaptation to climate change through the choice of cropping system and sowing date in sub-Saharan Africa. Global Environmental Change, 32,1, 130-143, doi:10.1016/j.gloenvcha.2012.11.001. [find final draft here]

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2012

[26] Boisier JP, de Noblet-Ducoudré N, Pitman AJ, Cruz FT, Delire C, van den Hurk BJJM, van der Molen MK, Müller C, and Voldoire A. 2012, Attributing the biogeophysical impacts of Land-Use induced Land-Cover Changes on surface climate to specific causes. Results from the first LUCID set of simulations. Journal of Geophysical Research Atmosphere, 117, D12116, doi: 10.1029/2011JD017106.

[25] Dietrich JP, Schmitz C, Müller C, Fader M, Lotze-Campen H, Popp A. 2012, Measuring agricultural land-use intensity - A global analysis using a model-assisted approach. Ecological Modelling, 232, 109-118, doi: 10.1016/j.ecolmodel.2012.03.002.

[24] Müller C and Lotze-Campen H. 2012, Integrating the complexity of global change pressures on land and water. Global Food Security, 1, 88-93, doi: 10.1016/j.gfs.2012.11.001.

[23] de Noblet-­Ducoudré N, Boisier JP, Pitman A, Bonan GB, Brovkin V, Cruz F, Delire C, Gayler V, van den Hurk BJJM, Lawrence PJ, van der Molen MK, Müller C, Reick CH, Strengers BJ, and Voldoire A. 2012, Determining robust impacts of land-­use induced land-cover changes on surface climate over North America and Eurasia - Results from the first set of LUCID experiments. Journal of Climate, 25, pp. 3261–3281, doi: 10.1175/JCLI-D-11-00338.1.

[22] Souty F, Brunelle T, Dumas P, Dorin B, Ciais P, Crassous R, Müller C, and Bondeau A. 2012, The Nexus Land-Use model version 1.0, an approach articulating biophysical potentials and economic dynamics to model competition for land-use, Geoscientific Model Development, 5, 1297-1322, doi:10.5194/gmd-5-1297-2012.

[21] Waha K, van Bussel LGJ, Müller C, and Bondeau A. 2012, Climate-driven simulation of global crop sowing dates. Global Ecology and Biogeography, 21,2, pp. 247-259, doi: 10.1111/j.1466-8238.2011.00678.x. [find final draft here]

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2011

[20] van Bussel LGJ, Müller C, van Keulen H, Ewert F, and Leffelaar PA. 2011, The Effect of Temporal Aggregation of Weather Input Data on Crop Growth Models’ Results. Agricultural and Forest Meteorology, 151, 5, pp. 607-619, doi:10.1016/j.agrformet.2011.01.007. [find final draft here]

[19] Franck S, von Bloh W, Müller C, Bondeau A, and Sakschewski B. 2011, Harvesting the sun: new estimations of the maximum population of the planet Earth. Ecological Modelling, 222, 12, pp. 2019-2026, doi: 10.1016/j.ecolmodel.2011.03.030.

[18] Haberl H, Erb KH, Krausmann F, Bondeau A, Lauk C, Müller C, Plutzar C, and Steinberger JK. 2011, The sensitivity of global bioenergy potentials in 2050 to climate change: A material flow analysis perspective. Biomass & Bioenergy, 35, 12, pp. 4753-4769, doi: 10.1016/j.biombioe.2011.04.035.

[17] Müller C. 2011, Harvesting from uncertainties. Nature Climate Change, 1, 5, pp. 253–254, doi: 10.1038/nclimate1179.

[16] Müller C, Cramer W, Hare WL, and Lotze-Campen H. 2011, Climate change risks for African agriculture. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 108, 11, pp. 4313-4315, doi: 10.1073/pnas.1015078108. [find final draft here]

[15] Neumann K, Stehfest E, Verburg PH, Siebert S, Müller C, and Veldkamp T. 2011, Exploring global irrigation patterns: A multilevel modelling approach. Agricultural Systems 104, 9, pp. 703-713, doi: 10.1016/j.agsy.2011.08.004. [open access]

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2010

[14] Fader M, Rost S, Müller C, Bondeau A, and Gerten D. 2010, Virtual water content of temperate cereals and maize: Present and potential future patterns. Journal of Hydrology. Special Issue of the Global Green and Blue Water Initiative, 384, pp. 218-231, doi: 10.1016/j.jhydrol.2009.12.011.

[13] Lotze-Campen H, Popp A, Beringer T, Müller C, Bondeau A, Rost S, and Lucht, W. 2010, Scenarios of global bioenergy production: The trade-offs between agricultural expansion, intensification and trade. Ecological Modelling, 221, pp. 2188-2196, doi:10.1016/j.ecolmodel.2009.10.002.

[12] Neumann K, Verburg P, Stehfest E, and Müller C. 2010, The yield gap of global grain production: A spatial analysis. Agricultural Systems,103, 5, pp. 316-326, doi: 10.1016/j.agsy.2010.02.004 [open access].

[11] Strengers BJ, Müller C, Schaeffer M, Haarsma RJ, Severijns C, Gerten D, Schaphoff S, van den Houdt R, and Oostenrijk R. 2010, Assessing 20th century climate-vegetation feedbacks of land-use change and natural vegetation dynamics in a fully coupled vegetation-climate model. International Journal of Climatology, 30, 13, pp. 2055-2065, doi: 10.1002/joc.2132 [open access].

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2009

[10] Pitman, AJ, de Noblet-Ducoudré N, Cruz FT, Davin EL, Bonan GB, Brovkin V, Claussen M, Delire C, Gayler V, van den Hurk BJJM, Lawrence PJ, van der Molen MK, Müller C, Reick CH, Seneviratne SI, Strengers BJ, and Voldoire A. 2009, Uncertainties in climate responses to past land cover change: First results from the LUCID intercomparison study. Geophysical Research Letters, 36, L14814, doi:10.1029/2009GL039076. [open access]

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2008

[9] Lotze-Campen H, Müller C, Bondeau A, Rost S, Popp A, and Lucht, W. 2008, Global food demand, productivity growth and the scarcity of land and water resources: a spatially explicit mathematical programming approach. Agricultural Economics, 39, 3, pp. 325-338, doi: 10.1111/j.1574-0862.2008.00336.x. [open access]

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2007

[8] Bondeau A, Smith PC, Zaehle S, Schaphoff S, Lucht W, Cramer W, Gerten D, Lotze-Campen H, Müller C, Reichstein M, and Smith B. 2007, Modelling the role of agriculture for the 20th century global terrestrial carbon balance. Global Change Biology, 13, 3, pp. 679-706, doi: 10.1111/j.1365-2486.2006.01305.x.

[7] Müller C, Eickhout B, Zaehle S, Bondeau A, Cramer W, and Lucht W. 2007, Effects of changes in CO2, climate, and land use on the carbon balance of the land biosphere during the 21st century. Journal of Geophysical Reserach - Biogeosciences, 112, G02032, doi:10.1029/2006JG000388. [open access]

[6] Müller C and Lucht W. 2007, Robustness of terrestrial carbon and water cycle simulations against variations in spatial resolution. Journal of Geophysical Reserach - Atmospheres, 112, D06105, doi:10.1029/2006JD007875. [open access]

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2006

[5] Heistermann M, Müller C, and Ronneberger K. 2006, Land in Sight? Achievements, Deficits and Potentials of Continental to Global Scale Land-Use Modeling. Agriculture, Ecosystems and Environment, 114, 2-4, pp. 141-158, doi:10.1016/j.agee.2005.11.015. [open access]

[4] Lotze-Campen H, Müller C, Bondeau A, Smith P, and Lucht W. 2006, Rising food demand, climate change and the use of land and water. In: Brouwer F, McCarl BA (Eds.): Agriculture and Climate Beyond 2015 - A new perspective on future land use patterns. Springer, Dordrecht, Chapter 7, pp. 109-129.

[3] Müller C, Bondeau A, Lotze-Campen H, Cramer W, and Lucht W. 2006, Comparative impact of climatic and nonclimatic factors on global terrestrial carbon and water cycles, Global Biogeochemical Cycles, 20, GB4015, doi:10.1029/2006GB002742. [open access]

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2005

[2] Lotze-Campen H, Müller C, Bondeau A, Smith P, and Lucht W. 2005, How Tight are the Limits to Land and Water Use? - Combined Impacts of Food Demand and Climate Change. Advances in Geosciences, 4, pp. 23-28, doi: 10.5194/adgeo-4-23-2005.

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2004

[1] Müller C, Berger G, and Glemnitz M. 2004, Quantifying geomorphological heterogeneity to assess species diversity of set-aside arable land. Agriculture, Ecosystems and Environment, 104 (3), pp. 587-594, doi: 10.1016/j.agee.2004.01.023.

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Scientific Reports

2017

Liniger HP, Mekdaschi Studer R, Moll P, Zander U (eds. with may contributing authors, including Müller C) (2017): Making sense of research for sustainable land management. Centre for Development and Environment (CDE), University of Bern, Switzerland and Helmholtz-Centre for Environmental Research GmbH – UFZ, Leipzig, Germany. [available online]

Van Meijl H, Havlik P, Lotze-Campen H, Stehfest E, Witzke P, Pérez Domínguez I, Bodirsky B, van Dijk M, Doelman J, Fellmann T, Humpenoeder F, Levin-Koopman J, Müller C, Popp A, Tabeau A, Valin H (2017): Challenges of Global Agriculture in a Climate Change Context by 2050 (AgCLIM50). JRC Science for Policy Report, Luxembourg: Publications Office of the European Union, doi: 10.2760/772445

2016

Folberth C, Elliott J, Müller C, Balkovic J, Chryssanthacopoulos J, Izaurralde RC, Jones CD, Khabarov N, Liu W, Reddy A, Schmid E, Skalský R, Yang H, Arneth A, Ciais P, Deryng D, Lawrence PJ, Olin S, Pugh TAM, Ruane AC, and Wang X. 2016, Uncertainties in global crop model frameworks: effects of cultivar distribution, crop management and soil handling on crop yield estimates, Biogeosciences Discuss., 2016, 1-30, doi: 10.5194/bg-2016-527.

2015

Mavume A, Alo BI, Blivi BA, Müller C, Odubanjo O, Aflakpui GKS, Fofack HL, Sedogo LG, Mwanjalolo M, Nowbuth MD, Boko MC, Murisa M, Serdeczny O, Schulze RE, Diop S, Ayonghe SN, Schmiedel U, Tesema ZW (2015): Climate Change Adaptation and Resilience in Africa - Recommendations to Policymakers. Network of African Science Academies (NASAC), Nairobi, Kenya, 52pp. [available online]

2014

Müller C, Stehfest E, van Minnen J (2014): Carbon cycle and natural vegetation. In: Stehfest E, van Vuuren D, Kram T, Bouwman L (Eds): Integrated Assessment of Global Environmental Change with IMAGE 3.0 Model description and policy applications. pp. 177-185 [available online]

Müller C, Stehfest E (2014): Crops and grass. In: Stehfest E, van Vuuren D, Kram T, Bouwman L (Eds): Integrated Assessment of Global Environmental Change with IMAGE 3.0 Model description and policy applications. pp. 187-196 [available online]

2013

Waha K, Müller C (2013): The essential temperature routines in LPJmL for wheat simulations. In: Alderman PD, Quilligan E, Asseng S, Ewert F, Reynolds MP (Eds): Workshop Modeling Wheat Response to High Temperature. Proceedings; CIMMYT, El Batan, Texcoco, Mexico; 19-21 June 2013, pp. 77-80 [available online]

2012

Lotze-Campen H, Müller C, Popp A, Füssel H-M (2012): Food Security in a changing climate. In: Edenhofer O, Wallacher J, Lotze-Campen H, Reder M, Knopf B, Müller J (Eds.): Climate Change, Justice and Sustainability: Linking Climate and Development Policy. Springer, Dordrecht, Chapter 4, pp. 33-43, ISBN: 978-94-007-4539-1, doi: 10.1007/978-94-007-4540-7_4

2010

Lotze-Campen H, Füssel H-M, Popp A, Müller C (2010): Klimawandel und Ernährungssicherheit. In: Edenhofer O, Wallacher J, Reder M, Lotze-Campen H (Eds.): Global aber Gerecht - Klimawandel bekämpfen, Entwicklung ermöglichen. C. H. Beck, München, Chapter 2.4, pp. 38-47, ISBN: 978 3 406 60656 4

2009

Erb, K-H, Haberl H, Krausmann F, Lauk C, Plutzar C, Steinberger JK, Müller C, Bondeau A, Waha K, Pollack G (2009): Eating the Planet: Feeding and fuelling the world sustainably, fairly and humanely – a scoping study. Commissioned by Compassion in World Farming and Friends of the Earth UK. Institute of Social Ecology and PIK Potsdam. Vienna: Social Ecology Working Paper No. 116

Müller C, Bondeau A, Popp A, Waha K, Fader M (2009): Climate change impacts on agricultural yields. Potsdam Institute for Climate Impact Research (PIK). Background note for the World Development Report 2010. Contribution to the World Development Report 2010: Development and Climate Change. The World Bank, Washington, DC

Müller C (2009): Climate Change Impacts on Sub-Saharan Africa - An overview and analysis of Scenarios and Models. Discussion Paper, German Development Institute, Bonn, Germany, ISBN 978-3-88985-451-3.

2007

Müller C (2007): Climate Change and Global Land-Use Patterns - Quantifying the Human Impact on the Terrestrial Biosphere. Reports on Earth System Science, 41, Max Planck Institute for Meteorology, Hamburg, Germany, ISSN 1614-1199.

Müller C (2007): Prospects and prerequisites of coupling the IMAGE model and LPJmL for integrated assessment tasks. Project Report. Potsdam Institute for Climate Impact Research, 50pp.

Other Non-Reviewed Publications and Book contributions

2021

Müller C, 2021, Does increased irrigation and fertilizer use affect inter-annual crop yield variation?, ISIPEDIA, https://www.isipedia.org/report/does-increased-irrigation-and-fertilizer-use-affect-inter-annual-crop-yield-variation/

2020

Guggenberger G, Bischoff N, Shibistova O, Müller C, Rolinski S, Puzanov A, Prishchepov AV, Schierhorn F, and Mikutta R. 2020, Interactive Effects of Land Use and Climate on Soil Organic Carbon Storage in Western Siberian Steppe Soils, in KULUNDA: Climate Smart Agriculture: South Siberian Agro-steppe as Pioneering Region for Sustainable Land Use, edited by M Frühauf, G Guggenberger, T Meinel, I Theesfeld and S Lentz, pp. 183-199, Springer International Publishing, Cham. doi: 10.1007/978-3-030-15927-6_13

2017

Deryng D, Elliott J, Folberth C, Müller C, Pugh TAM, Boote KJ, Conway D, Ruane AC, Gerten D, Jones JW, Khabarov N, Olin S, Schaphoff S, Schmid E, Yang H, and Rosenzweig C: How can CO2 help agriculture in the face of climate change? Science Journal for Kids, 2017. [PDF]

2015

Havlík P, Leclère D, Valin H, Herrero M, Schmid E, Soussana JF, Müller C, Obersteiner M. 2015. Global climate change, food supply and livestock production systems: A bioeconomic analysis, In: Climate change and food systems: global assessments and implications for food security and trade, Aziz Elbehri (editor). Food Agriculture Organization of the United Nations (FAO), Rome, 2015, pp 176-208.

Elliott J and Müller C (2015): The AgMIP GRIDded Crop Modeling Initiative (AgGRID) and the Global Gridded Crop Model Intercomparison (GGCMI). In: Rosenzweig and Hillel (Eds.), Handbook of Climate Change and Agroecosystems. The Agricultural Model Intercomparison and Improvement Project (AgMIP) Integrated Crop and Economic Assessments. ISBN 978-1-78326-563-3, pp. 175-189.

Makowski D, Asseng S, Ewert F, Bassu S, Durand JL, Martre P, Adam M, Aggarwal PK, Angulo C, Baron C, Basso B, Bertuzzi P, Biernath C, Boogaard H, Boote KJ, Brisson N, Cammarano D, Challinor AJ, Conijn SJG, Corbeels M, Deryng D, De Sanctis G, Doltra J, Gayler S, Goldberg R, Grassini P, Hatfield JL, Heng L, Hoek S, Hooker J, Hunt TLA, Ingwersen J, Izaurralde C, Jongschaap REE, Jones JW, Kemanian AR, Kersebaum C, Kim SH, Lizaso J, Müller C, Kumar NS, Nendel C, O'Leary GJ, Olesen JE, Osborne TM, Palosuo T, Pravia MV, Priesack E, Ripoche D, Rosenzweig C, Ruane AC, Sau F, Semenov MA, Shcherbak I, Steduto P, Stöckle C, Stratonovitch P, Streck T, Supit I, Tao F, Teixeira EI, Thorburn P, Timlin D, Travasso M, Rötter R, Waha K, Wallach D, White JW, Williams JR, Wolf J (2015): Statistical Analysis of Large Simulated Yield Datasets for Studying Climate Change Effects. In: Rosenzweig and Hillel (Eds.), Handbook of Climate Change and Agroecosystems. The Agricultural Model Intercomparison and Improvement Project (AgMIP) Integrated Crop and Economic Assessments. ISBN 978-1-78326-563-3, pp. 279-295.

Müller C and Elliott J (2015): The Global Gridded Crop Model Intercomparison: Approaches, insights and caveats for modelling climate change impacts on agriculture at the global scale, In: Climate change and food systems: global assessments and implications for food security and trade, Aziz Elbehri (editor). Food Agriculture Organization of the United Nations (FAO), Rome, 2015, pp 28-59.

2014

Batlle Bayer L, van den Hurk BJJM, Müller C, van Minnen J (2014): The impact of land-use change on the sensitivity of terrestrial productivity to precipitation variability: A modelling approach. Earth System Dynamics Discussion, 5, 585-616, doi: 10.5194/esdd-5-585-2014. [available online]

Müller C (2014), Impacts of Climate Change on Food Availability: Agriculture, in: Global Environmental Change, edited by B Freedman, Handbook of Global Environmental Pollution, Volume 1 pp. 681-688, doi: 10.1007/978-94-007-5784-4_133, Springer Netherlands.

2012

Bassu S, Durand JL, Lizaso J, Boote KJ, Makowski D, Ruane AC, Baron C, Basso B, Biernath C, Boogaard H, Conij S, Deryng D, De Sanctis G, Gayler S, Grassini P, Hoek SB, Izaurralde RC, Jongschaap R, Kemanian A, Kersebaum KC, Müller C, Nendel C, Priesack E, Sau F, Shcherbak I, Tao F, Teixeira EI, Timlin D, Waha K, Hatfield JL, Corbeels M, Rosenzweig C, Jones JW (2012). Uncertainties in Maize Crop Model Responses to Climate Factors, in Stoddard FL and Mäkelä P (Eds): 12th congress of the European Society for Agronomy. European Society for Agronomy, Helsinki, Finland, 20-24. August 2012, pp 28-29. [available online]

2011

Möller T, Grethe H, Waha K, Müller C (2011): Modelling Climate Change Impact on European Agriculture:
Does the Choice of Global Circulation Model Matter?
Paper presented at the European Association of Agricultural Economists (EAAE) 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland, 15p. [available online]

Müller C, Lotze-Campen H, Huber V, Popp A, Svirejeva-Hopkins A, Krause M, Schellnhuber HJ (2011): "Preface Essays: Towards a Great Land-Use Transformation?" In: Brauch H G,Oswald Spring Ú,Mesjasz C, Grin J, Kameri-Mbote P, Chourou B, Dunay P, Birkmann J (Eds.), 2011. Coping with Global Environmental Change, Disasters and Security - Threats, Challenges, Vulnerabilities and Risks. Hexagon Series on Human and Environmental Security and Peace, vol. 5, Springer, Berlin - Heidelberg - New York. [available online]

2010

van Bussel LGJ, Waha K, Müller C, Bondeau A (2010): Climate-driven simulation of global crop sowing dates. In: Wery J, Shili-Touzi I, Perrin A (Eds.), Proceedings of the XIth ESA Congress AGRO 2010, Montpellier, France, 29 August – 3 September 2010, Montpellier, France, ESA (European Society for Agronomy), pages 943-944.

Dietrich JP, Schmitz C, Lotze-Campen H, Müller C, Popp A (2010): Implementing endogenous technological change in a global land-use model. Paper presented at the GTAP 13. Annual Conference in Penang, Malysia, June 9-11, 2010. GTAP Resource #3283. 24p

2009

Herrero M, Thornton PK, Rosegrant M, Havlik P, Msangi S, Fritz S, Lotze-Campen H, Notenbaert A, Popp A, Eickhout B, Müller C, Van de Steeg J, Gerten D, Sulserm T, Ringler C, Wood S, Freeman HA (2009): Incorporating livestock in global integrated assessments of land use and agro-ecosystems services. In: Van Ittersum MK, Wolf J, Van Laar HH (Eds), 2009. Proceedings of the Conference on Integrated Assessment of Agriculture and Sustainable Development: Setting the Agenda for Science and Policy (AgSAP 2009). Egmond aan Zee, The Netherlands, 10-12 March 2009. Wageningen University and Research Centre, Wageningen, 560 pp, pages 148-149.

Lotze-Campen H, Popp A, Beringer T, Müller C, Lucht W (2009): A spatial bio-economic modelling approach on the trade-offs between global bioenergy demand, agricultural intensification, expansion, and trade. 27th International Conference of Agricultural Economists (IAAE), August 2009, Beijing 2009. 24 p.

2008

van Bussel LGJ, Müller C, Leffelaar PA, Ewert F, van Keulen H (2008): The effects of temporal aggregation of weather input data on two important processes in crop growth models. In: Rossi Pisa P (ed), Proceedings of the conference Multi-functional agriculture: agriculture as a resource for energy and environmental preservation (10th ESA Congress). Italian journal of agronomy, 3, 3s, pp. 895, doi: 10.4081/282 [available online]

2007

[8] Müller C (Lead Author); Voinov A (Topic Editor) (2007): Global land use models. In: Cleveland CJ (Eds.): Encyclopedia of Earth. Eds. (Washington, D.C.: Environmental Information Coalition, National Council for Science and the Environment). [Published May 19, 2007; Retrieved May 21, 2007]. http://www.eoearth.org/article/Global_land_use_models

2006

Müller C (2006): Climate Change and Global Land-Use Patterns - Quantifying the Human Impact on the Terrestrial Biosphere. Dissertation (PhD Thesis), Universität Potsdam. abstract [English] | Zusammenfassung [deutsch] | full text [8.2 MB]

2004

Lotze-Campen H, Müller C, Bondeau A, Smith P, Lucht W (2004): How Tight are the Limits to Land and Water Use? - Combined Impacts of Food Demand and Climate Change. In: Pahl-Wostl C, Schmidt S, Rizzoli AE, Jakeman AJ (Eds): Complexity and Integrated Resources Management, Transactions of the 2nd Biennial Meeting of the International Environmental Modelling and Software Society, Volume 1, pp. 397-402. iEMSs, June 2004. [http://www.iemss.org/iemss2004/proceedings/]

Müller C, Berger G, Glemnitz M, Malt S, Pfeffer H (2004): (conference proceedings in German) Ansätze zur Quantifizierung und Korrelation von Standortheterogenität und Artendiversität. In: Gnauck A (Hrsg.): Modellierung und Simulation von Ökosystemen - Workshop Kölpinsee 2002, Shaker-Verlag, Aachen, Germany, pages 36-61.

2003

Berger G, Pfeffer H, Schobert H, Malt, Hoffmann J, Wolf I, RiedelI, Schönbrodt T, Manteufel H, Müller C, Dürr S (2003): Schlaginterne Segregation - ein Modell zur besseren Integration von Naturschutzzielen in gering strukturierten Agrarlandschaften : Abschlussbericht zum Erprobungs- und Entwicklungsvorhaben; Hauptvorhaben 41 S.; Müncheberg (Zentrum für Agrarlandschafts- und Landnutzungsforschung (ZALF))

Lotze-Campen H, Müller C, Bondeau A, Smith P, Lucht W (2003): Agriculture in a squeeze? - Modelling the combined impacts of rising food demand and climate change on land and water use. Paper presented at the International Workshop on "Transition in Agriculture and Future Land Use Patterns", Wageningen, Netherlands, 1-3 Dec 2003.

2002

Müller C (2002): (master thesis in German) Charakterisierung von Standortheterogenität kleinflächiger Ackerstilllegungs areale zur Ableitung biotischer Potentiale. Diplomarbeit, Universität Potsdam.

2001

Glasser F, Kneis D, Mueller C, Wendler W (2001): Soil Analysis Methods. In: Blumenstein O, Meiklejohn I, Schachtzabel H (Eds.): Investigation of Environmental Quality and Social Structures in a Mining Area in the North West Province of South Africa. Stoffdynaik in Geoökosystemen, 5, Potsdam & Pretoria, pages 27-39.

Mueller C, Cerowsky D (2001): The Developement and Use of a Translating Program. In: Blumenstein O, Meiklejohn I, Schachtzabel H (Eds.): Investigation of Environmental Quality and Social Structures in a Mining Area in the North West Province of South Africa. Stoffdynamik in Geoökosystemen, 5, Potsdam & Pretoria, pages 137-141.

Review activity

Agricultural and Forest Meteorology

Agricultural Economics

Agriculture, Ecosystems & Environment

Biogeosciences

Climate Dynamics

Climate Research

Current Opinion in Plant Biology

Ecological Modelling

Ecology & Society

Ecosystems

Environmental Research Letters

Field Crops Research

Geoscientific Model Development

Global Change Biology

Global Environmental Change

Global Food Security

Hydrological Sciences Journal

Journal of Advances in Modeling Earth Systems

Journal of Agronomy and Crop Science

Journal of Environmental Management

Journal of Geophysical Research - Biogeosciences

Nature Climate Change

Nature Communications

PLOSone

Regional Environmental Change

Science

Sustainability Science

Tellus B

Academic Press (Elsevier)

L'agence nationale de la recherche, France (ANR)

Swiss national science foundation (SNSF)

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Supervision

August 2014 - November 2022 PhD thesis: Tobias Herzfeld, Humbold University, Berlin, Germany
August 2014 - July 2022 PhD thesis: Vera Porwollik, Humbold University, Berlin, Germany
November 2014 - March 2020 PhD thesis: Femke Lutz, Wageningen University, The Netherlands
August 2014 - January 2020 PhD thesis: Sara Minoli, Humbold University, Berlin, Germany
November 2018 – May 2019 Master thesis: Moris Hoffmann, Institute of Biochemistry and Biology, University Potsdam, Germany
February 2018 – August 2018 Master thesis: Jannes Breier, Geoecology, University Potsdam, Germany
September 2015 – December 2015 Internship supervision: Michaela Grote, GIS Academy, Hamburg, Germany
February 2014 – April 2014 Internship supervision: Philipp Jordan, Geoecology, University Potsdam, Germany
May 2014 – January 2015 Bachelor thesis supervision Philipp Jordan, Geoecology, University Potsdam, Germany
February 2011 - November 2013 PhD supervision: co-advisor within the IMPRS of Pawlok Dass, University Potsdam, Germany, leadership of Wolfgang Cramer (University Potsdam, PIK)
March 2011 - April 2011 Internship supervision: Lena Scheiffele, Geoecology, University Potsdam, Germany
March 2010 - May 2012 Master thesis supervision (Diplomarbeit): Gunnar Pruß, University Potsdam, Germany, together with Wolfgang Cramer (University Potsdam, PIK)
November 2010 - December 2010 Internship supervision: David Rico Arcos, Geoecology, University Potsdam, Germany
March 2009 – December 2009 Master thesis supervision (Diplomarbeit): Verena Seufert, University Würzburg, Germany, leadership of Wolfgang Cramer (University Potsdam, PIK) and Werner Kaiser (University Würzburg)
November 2008 – February 2013 PhD supervision: Katharina Waha, University Potsdam, Germany, leadership of Wolfgang Cramer (University Potsdam, PIK)
August 2007 – October 2011 PhD supervision: Lenny van Bussel, Wageningen University, Netherlands, leadership of Herman van Keulen (Wageningen University) and Frank Ewert (University Bonn)
January 2006 – September 2006 Master thesis supervision (Diplomarbeit): Janine Rower, University Potsdam, Germany, leadership of Wolfgang Lucht (University Potsdam, PIK) and Dieter Gerten (PIK)

 

Lectures/Seminars

winter term 2012/13 Lecture Globale Ökologie (global ecology) together with Susanne Rolinski, PIK, paid teaching assignment
summer term 2012 Lecture Modellierung Erdsystemarer Prozesse (modeling processes of the earth system) together with Susanne Rolinski, PIK, teaching assignment
summer term 2012 Seminar (block) Programmierung Erdsystemarer Prozesse (programming processes of the earth system) together with Susanne Rolinski, PIK, teaching assignment
winter term 2011/12 Lecture Globale Ökologie (global ecology) together with Susanne Rolinski, PIK, paid teaching assignment
winter term 2011/12 Lecture contribution (invited): Auswikungen von Klimawandel auf Agrarsysteme (Climate change impacts on agricultural sytstems), University Kassel-Witzenhausen (2h)
summer term 2011 Seminar (block) Programmierung Erdsystemarer Prozesse (programming processes of the earth system) together with Susanne Rolinski, PIK, teaching assignment
summer term 2011 Seminar Modellierung Erdsystemarer Prozesse (modeling processes of the earth system) together with Susanne Rolinski, PIK, teaching assignment
summer term 2011 Lecture Modellierung Erdsystemarer Prozesse (modeling processes of the earth system) together with Wolfgang Cramer, Potsdam University, teaching assignment
winter term 2010/11 Lecture Globale Ökologie (global ecology) together with Wolfgang Cramer, Potsdam University, substitute
summer term 2010 Seminar Erdsystemmodellierung: Biosphäre (Earth-System Modelling: Biosphere) together with Wolfgang Cramer, Potsdam University, teaching assignment
winter term 2009/10 Lecture Globale Ökologie (global Ecology) together with Wolfgang Cramer, Potsdam University, teaching assignment
winter term 2009/10 Seminar contribution Ausgewählte geoökologische Modelle und ihre Anwendung (selected geoecological models and their application), Potsdam University, invited
summer term 2009 Lecture & Exercise Vegetation Patterns and the Earth System, Mahidol University, Thailand, invited
summer term 2009 Seminar Erdsystemmodellierung: Biosphäre (Earth-System Modelling: Biosphere) together with Wolfgang Cramer, Potsdam University, teaching assignment
winter term 2008/09 Lecture Dynamik der Biosphäre (Biosphere dynamics) together with Wolfgang Cramer, Potsdam University, teaching assignment
winter term 2006/07 Substitute in lecture/seminar Earth System Modeling - Biosphere, held by Wolfgang Lucht and Alberte Bondeau, Potsdam University, substitute
winter term 2004/05 Exercise Introduction to Modeling: Earth System Modeling, in German, together with Wolfgang Lucht and Sönke Zaehle, Potsdam University, teaching assignment