Current preprints
Zabel, F., Knüttel, M., Poschlod, B. (2024). CropSuite - A comprehensive open-source crop suitability model considering climate variability for climate impact assessment. Preprint: https://doi.org/10.5194/egusphere-2024-2526
Piipponen, J., Jalava, M., Sahlin, K.R.,, Sandström, V., Cramer, G., Hayek, M., van Zanten, H., Zabel, F., Kummu, M. (2024): Protein and energy from grazing or crops - does livestock have a chance? Preprint: https://doi.org/10.21203/rs.3.rs-3392089/v1
Peer-reviewed publications
Nelson, G.C., Cheung, W.W.L., Kerr, R.B., Franke, J., Meza, F., Oyinlola, M.A., Thornton, P., Zabel, F. (2024): Adaptation to climate change and limits in food production systems: Physics, the chemistry of biology, and human behavior. Global Change Biology. doi: https://doi.org/10.1111/gcb.17489
Schneider, J., Delzeit, R., Neumann, C., Seppelt, R., Heimann, T., Söder, M., Schünemann, F., Mauser, W., Zabel, F. (2024): Effects of profit-driven cropland expansion and conservation policies. Nature Sustainability. doi: https://doi.org/10.1038/s41893-024-01410-x
Orlov, A., Jägermeyr, J., Müller, C., Daloz, A.S., Zabel, F., Minoli, S., Liu, W., Lin, T-S., Jain, A.K., Folberth, C., Okada, M., Poschlod, B., Smerald, A., Schneider, J.M., Sillmann, J. (2024): Human heat stress could offset potential economic benefits of CO2 fertilization in crop production under a high-emissions scenario. One Earth, 7 (7), 1250-1265. doi: https://doi.org/10.1016/j.oneear.2024.06.012
Müller, C., Jaegermeyr, J., Franke, J., Ruane, A., Balkovic, J., Ciais, P., Dury, M. Falloon, P., Folberth, C., Hank, T., Hoffmann, M., Izaurralde, R. C., Jacquemin, I., Khabarov, N., Lui, W., Olin, S., Pugh, T.A.M., Wang, X., Williams, K., Zabel, F., Elliott, J. (2024): Substantial differences in crop yield sensitivities between models call for functionality-based model evaluation. Earth’s Future, 12, e2023EF003773. doi: https://doi.org/10.1029/2023EF003773
Zabel, F., Poschlod, B. (2023): The Teddy tool v1.1: temporal disaggregation of daily climate model data for climate impact analysis. Geoscientific Model Development, 16, 5383–5399. doi: https://doi.org/10.5194/gmd-16-5383-2023
Bacca, E.J.M., Stevanovic, M., Bodirsky, B.L., Karstens, K., Chen, D.M-C., Leip, D. Müller, C., Minoli, S., Heinke, J., Jägermeyr, J., Folberth, C., Iizumi, T., Jain, A.K., Liu, W., Okada, M., Smerald, A., Zabel, F., Lotze-Campen, H., 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: https://doi.org/10.1038/s43247-023-00941-z
Schneider, J., Zabel, F., Mauser, W. (2022): Global inventory of suitable, cultivable and available cropland under different scenarios and policies. Scientific Data, 9, 527.doi: https://doi.org/10.1038/s41597-022-01632-8
Ganzenmueller, R., Bultan, S., Winkler, K., Fuchs, R., Zabel, F., Pongratz, J. (2022): Land-use change emissions based on high-resolution data substantially lower than previously estimated. Environmental Research Letters, 17, 064050.
doi: https://doi.org/10.1088/1748-9326/ac70d8
Schneider, J. M., Zabel, F., Schünemann, F., Delzeit, R., Mauser, W. (2022): Global cropland could be almost halved: Assessment of land saving potentials under different strategies and implications for agricultural markets. PLoS ONE, 17 (2), e0263063. doi: https://doi.org/10.1371/journal.pone.0263063
Jaegermeyr, J., Müller, C., Ruane, A., Elliott, J., Balkovic, J., Castillo, O., Faye, B., Foster, I., Folberth, Ch., Franke, J., Fuchs, K., Guarin, J., Heinke, J., Hoogenboom, G., Iizumi, T., Jain, A., Kelly, D., Khabarov, N., Lange, S., Lin, T-S., Liu, W., Mialyk, O., Minoli, S., Moyer, E., Okada, M., Phillips, M., Porter, C., Rabin, S., Scheer, C., Schneider, J.M., Schyns, J., Skalský, R., Smerald, A., Stella, T., Stephens, H., Webber, H., Zabel, F., Rosenzweig, C. (2021): Climate change signal in agriculture emerges earlier in new generation of projections. Nature Food, 2, 873-885.
doi: https://doi.org/10.1038/s43016-021-00400-y
Franke, J.A., Müller, C., Minoli, S., Elliott, J., Folberth, C., Gardner, C., Hank, T., Izaurralde, R.C., Jägermeyr, J., Jones, C.D., Liu, W., Olin, S., Pugh, T.A.M., Ruane, A.C., Stephens, H., Zabel, F., Moyer, E.J. (2021): Agricultural breadbaskets shift poleward given adaptive farmer behavior under climate change. Global Change Biology, 28, 167-181. doi: https://doi.org/10.1111/gcb.15868
Zabel, F., Mueller, C., Elliott, J., Minoli, S., Jägermeyr, J., Schneider, M. J., Franke, J. A., Moyer, E., Dury, M., Francois, L., Folberth, C. Wenfeng, L., Ogh, T. A. M., Olin, S., Rabin, S. S., Mauser, W., Hank, T., Ruane, A. C., Asseng, S. (2021): Large potential for crop production adaptation depends on available future varieties. Global Change Biology, 27 (16), 3870-3882.
doi: https://doi.org/10.1111/gcb.15649
Delzeit, R., Heimann, T., Schuenemann, F., Söder, M., Zabel, F., Hosseini, M. (2021): Scenarios for an impact assessment of global bioeconomy strategies: Results from a co-design process. Research in Globalization. 3, 100060.
doi: https://doi.org/10.1016/j.resglo.2021.100060
Degife, A. W., Zabel, F., Mauser, W. (2021): Climate change impacts on potential maize yields in Gambella region, Ethiopia. Regional Environmental Change, 21, 60.
doi: https://doi.org/10.1007/s10113-021-01773-3
Müller, C., Franke, J., Jägermeyr, J., Ruane, A.C., Elliott, J., Moyer, E., Heinke, J., Falloon, P.D., Folberth, C., Francois, L., Hank, T., Izaurralde, R.C., Jacquemin, I., Liu, W., Olin, S., Pugh, T.A.M., Williams, K., Zabel, F. (2021): Exploring uncertainties of the full range of climate scenarios from CMIP5 and CMIP6 for global crop yields. Environmental Research Letters, 16, 034040.
doi: https://doi.org/10.1088/1748-9326/abd8fc
Jägermeyr, J., Robock, A., Elliott, J., Müller, C., Xia, L., Khabarov, N., Folberth, C., Schmid, E., Liu, W., Zabel, F., Rabin, S.S., Puma, M.J., Heslin, A., Franke, J., Foster, I., Asseng, S., Bardeen, C.G., Toon, O.B., Rosenzweig, C. (2020). A regional nuclear conflict would compromise global food security. PNAS, 117 (13), 7071-7081. doi: https://doi.org/10.1073/pnas.1919049117
Franke, J., Mueller, C., Elliott, J., Ruane, A. C., Snyder, A., Jaegermeyr, J., Balkovic, J., Ciais, P., Dury, M., Falloon, P., Folberth, C., Francois, L., Hank, T., Hoffmann, M., Izaurralde, R.C., Jacquemin, I., Jones, C., Khabarov, N., Koch, M., Li, M., Lui, W., Olin, S., Phillips, M., Pugh, T.A.M., Reddy, A., Wang, X., Williams, K., Zabel, F., Moyer, E. (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). Geoscientific Model Development, 13, 2315-2336.
doi: https://doi.org/10.5194/gmd-13-2315-2020
Cronin, J., Zabel, F., Dessens, O., Anandrarajah, G. (2020): Land suitability for energy crops under scenarios of climate change and land-use. GCB Bioenergy,12, 648-665. doi: https://doi.org/10.1111/gcbb.12697
Franke, J., Mueller, C., Elliott, J., Ruane, A. C., Snyder, A., Dury, M., Falloon, P., Folberth, C., Francois, L., Hank, T., Izaurralde, R.C., Jacquemin, I., Jones, C., Li, M., Lui, Wenfeng, L., Olin, S., Phillips, M., Pugh, T.A.M., Reddy, A., Willians, K., Wang, X., Zabel, F., Moyer, E. (2020): The GGCMI phase 2 emulators: global gridded crop model responses to changes in CO2, temperature, water, and nitrogen (version 1.0). Geoscientific Model Development, 13, 3995-4018.
doi: https://doi.org/10.5194/gmd-13-3995-2020
Delzeit, R., Pongratz, J., Schneider, J. M., Schünemann, F., Mauser, W., Zabel, F. (2019): Forest restoration: Expanding agriculture. Science, 366 (6463), 316-317.
doi: https://doi.org/10.1126/science.aaz0705
Zabel, F., Delzeit, R., Schneider, J. M., Seppelt, R., Mauser, M., Václacík, T. (2019): Global impacts of future cropland expansion and intensification on agricultural markets and biodiversity. Nature Communications, 10:2844, 11.
doi: https://doi.org/10.1038/s41467-019-10775-z
Minoli, S., Mueller, C., Elliott, J., Ruane, A. C., Jaegermeyr, J., Zabel, F., Dury, M., Folberth, C., Francois, L., Hank, T., Jacquemin,I., Liu, W., Olin, S., Pugh, T. A. M. (2019): Global response patterns of major rainfed crops to adaptation by maintaining current growing periods and irrigation. Earth's Future, 7, 1464-1480.
doi: https://doi.org/10.1029/2018EF001130
Degife, A., Zabel, F., Mauser, W. (2019): Land Use Scenarios and Their Effect on Potential Crop Production: The Case of Gambella Region, Ethiopia. Agriculture, 9, 105. doi: https://doi.org/10.3390/agriculture9050105
Foyer, C.H., Siddique, K.H.M., Tai, A.P.K., Anders, S., Fodor, N., Wong, F.-L., Ludidi, N., Chapman, M.A., Fergusson, B., Considine, M.J., Zabel, F., Prasad, P.V.V., Varshney, R.K., Nguyen, H.T., Lam, H.-M. (2019): Modelling predicts that soybean is poised to dominate crop production across Africa. Plant, Cell & Environment, 42, 373-385. doi: https://doi.org/10.1111/pce.13466
Degife, A., Zabel, F., Mauser, W. (2018): Assessing land use and land cover changes and agricultural farmland expansions in Gambella Region, Ethiopia, using Landsat 5 and Sentinel 2a multispectral data. Heliyon, 4, e00919.
doi: https://doi.org/10.1016/j.heliyon.2018.e00919
Meier, J., Zabel, F., Mauser, W. (2018): A global approach to estimate irrigated areas – a comparison between different data and statistics. Hydrology and Earth System Sciences, 22, 1119-1133. doi: https://doi.org/10.5194/hess-22-1119-2018
Delzeit, R., Klepper, G., Zabel, F., Mauser, W. (2018): Global economic–biophysical assessment of midterm scenarios for agricultural markets—biofuel policies, dietary patterns, cropland expansion, and productivity growth. Environmental Research Letters, 13, 025003. doi: https://doi.org/10.1088/1748-9326/aa9da2
Fodor, N., Challinor, A., Droutsas, I., Ramires-Villegas, J., Zabel, F., Koehler, A.K., Foyer, C.H. (2017): Integrating Plant Science and Crop Modeling: Assessment of the Impact of Climate Change on Soybean and Maize Production. Plant Cell Physiology, 58 (11), 15. doi: https://doi.org/10.1093/pcp/pcx141
Delzeit, R., Zabel, F., Meyer, C., Vaclavik, T. (2016): Addressing future trade-offs between biodiversity and cropland expansion to improve food security. Regional Environmental Change, 16, 13. doi: https://doi.org/10.1007/s10113-016-0927-1
Mauser, W., Klepper, G., Zabel, F., Delzeit, R., Hank, T. Putzenlechner, B., Cazadilla, A. (2015): Global biomass production potentials exceed expected future demand without the need for cropland expansion. Nature Communications, 6:8946, 11.
doi: https://doi.org/10.1038/ncomms9946
Zabel, F., Putzenlechner, B., Mauser, W. (2014): Global Agricultural Land Resources: A High Resolution Suitability Evaluation and Its Perspectives until 2100 under Climate Change Conditions. PLoS ONE, 9 (9), 12.
doi: https://doi.org/10.1371/journal.pone.0107522
Zabel, F. and Mauser, W. (2013): 2-way coupling the hydrological land surface model PROMET with the regional climate model MM5. Hydrol. Earth Syst. Sci., 17, 1705–1714. doi: https://doi.org/10.5194/hess-17-1705-2013
Avellan, T., Zabel, F., Putzenlechner, B., Mauser, W. (2013): A Comparison of Using Dominant Soil and Weighted Average of the Component Soils in Determining Global Crop Growth Suitability. International Journal of Environment and Pollution, 40-51.
Zabel, F., Mauser, W., Marke, T., Pfeiffer, A., Zängl, G. and Wastl, C. (2012): Inter-comparison of two land-surface models applied at different scales and their feedbacks while coupled with a regional climate model. Hydrol. Earth Syst. Sci., 16, 1017-1031. doi: https://doi.org/10.5194/hess-16-1017-2012
Avellan, T., Zabel, F. and Mauser, W. (2012): The influence of input data on the determination of potentially crop suitable areas – a comparative analysis of two soil and climate datasets. Soil Use and Management, 28, 249-265.
doi: https://doi.org/10.1111/j.1475-2743.2012.00400.x
Zabel, F., Hank, T. B. and Mauser, W. (2010): Improving arable land heterogeneity information in available land cover products for land surface modelling using MERIS NDVI data. Hydrol. Earth Syst. Sci., 14, 2073-2084.
doi: https://doi.org/10.5194/hess-14-2073-2010
Published datasets and open-source programs
The following datasets and open-source programs have been published under the creative commons licenses (BY-NC):
Zabel, F. (2024): Global distribution of primary and secondary vegetation at 1km spatial resolution [Data set]. Zenodo. doi: https://doi.org/10.5281/zenodo.13304557
Knüttel, M., & Zabel, F. (2024): CropSuite (v0.9) [Source Code and Data set]. Zenodo. doi: https://doi.org/10.5281/zenodo.13285636
Zabel, F., Knüttel, M., Poschlod, B. (2024): CropSuite – Crop suitability assessment for 48 crops under rainfed and irrigated conditions for Africa [Data set]. Zenodo. doi: https://doi.org/10.5281/zenodo.13285542
Schneider, J.M., Zabel, F., Delzeit, R., Heimann, T. (2024): Global dataset of areas under cropland expansion pressure [Data set]. Zenodo. doi: https://doi.org/10.5281/zenodo.12505548
Zabel, F., Poschlod, B. (2023): Teddy-Tool v1.1: Temporal Disaggregation of Daily Climate Model Data [Source Code and Data set]. Zenodo. doi: https://doi.org/10.5281/zenodo.7679149
Jägermeyr, J., Rabin, S., Balkovic, J., Ferreira, T.B., Elliott, J., Folberth, C., Hoogenboom, G., Iizumi, T., Kiyoshi, T., Liu, W., Masashi, O., Mialyk, O., Mueller, C., Smerald, A., Stella, T., Yang, H., Yang, Yi., Zabel, F., Fieler, K. (2023): ISIMIP3a Simulation Data from the Agriculture Sector (v1.0). ISIMIP Repository. doi: https://doi.org/10.48364/ISIMIP.370868
Schneider, J., Zabel, F., Mauser, W. (2022): Global inventory of potentially cultivable land and potentially available cropland under different scenarios and policies [Data set]. Zenodo. doi: https://doi.org/10.5281/zenodo.5993934
Zabel, F. (2022): Global Agricultural Land Resources – A High Resolution Suitability Evaluation and Its Perspectives until 2100 under Climate Change Conditions v3.0 [Data set]. Zenodo. doi: https://doi.org/10.5281/zenodo.5982577
Zabel, F., Hank, T., Mauser, W. (2019): AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from PROMET maize simulations [Data set]. Zenodo. doi: https://doi.org/10.5281/zenodo.2582467
Meier, J., Zabel, F., Mauser, W. (2018): Global Irrigated Areas [Data set]. PANGAEA. doi: https://doi.org/10.1594/PANGAEA.884744
Zabel, F. (2016): Natural potential for future cropland expansion [Data set]. Zenodo. doi: https://doi.org/10.5281/zenodo.3749508
Zabel, F., Hank, T., Mauser, W. (2019): AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from PROMET maize simulations [Data set]. Zenodo. doi: https://doi.org/10.5281/zenodo.2582467
Meier, J., Zabel, F., Mauser, W. (2018): Global Irrigated Areas [Data set]. PANGAEA. doi: https://doi.org/10.1594/PANGAEA.884744
Zabel, F. (2016): Natural potential for future cropland expansion [Data set]. Zenodo. doi: https://doi.org/10.5281/zenodo.3749508
Zabel, F., Putzenlechner, B., Mauser, W. (2014): Global Agricultural Land Resources – A High Resolution Suitability Evaluation and Its Perspectives until 2100 under Climate Change Conditions v2.0 [Data set]. Zenodo. doi: https://doi.org/10.5281/zenodo.3748350
Conference proceedings
Zantout, K., Frieler, K., Schewe, J. Balkovic, J., Burton, C., Gosling, S., Kou-Giesbrecht, S., Li, F., Lin, T.-S., Liu, W., Müller, C., Otta, K., Reyer, C., Zabel, F. (2024): The regularity of climate-related extreme events under global warming. EGU24-18197, Vienna, Austria. doi: https://doi.org/10.5194/egusphere-egu24-18197.
Jägermeyr, J., Müller, C., Mialyk, O., Zabel, F., Izumi, T., Ruane, A., Rosenzweig, C. (2023): The fingerprint of climate change in crop losses during recent heatwaves and droughts. AGU 2023. #1432470
Zabel, F., Schneider, J.M., Lehnert, L., Jaegermeyr, J., Müller, C., Ruane, A., Folberth, C., Rabin, S., Guarin, J., Mialyk, O. (2023): Global crop model evaluation: Comparison of simulated LAI with MODIS LAI timeseries. AgMIP 9, New York, USA.
Zabel, F., Schneider, J.M., Delzeit, R. (2023): Modeling global integrative land-use adaptation. AgMIP 9, New York, USA.
Zabel, F., Schneider, J.M., Delzeit, R. (2023): Attribution of climate change to historical and future yield variability under different scenarios. AgMIP 9, New York, USA.
Schneider, J.M., Zabel, F., Delzeit, R. (2023): Modeling Global Cropland Expansion: Trade-Offs with Biodiversity, Carbon Emissions, and Food Security. AgMIP 9, New York, USA.
Delzeit, R., Zabel, F., Schneider, J.M., (2023): Assessing impacts of climate change on agricultural markets taking uncertainties in global crop yield projections into account. AgMIP 9, New York, USA.
Ganzenmüller, R., Bultan, S., Winkler, K., Fuchs, R., Zabel, F., Pongratz, J. (2022): Land-use change emissions based on high-resolution data substantially lower than previously estimated. Living Planet Symposium, Bonn, Germany.
Leclere, D., Zabel, F., Boere, E., and Janssens, C. (2022): Effects of crop growing season length adaptation on economic climate change impacts in the agricultural sector. EGU22-11129, Vienna, Austria. doi: https://doi.org/10.5194/egusphere-egu22-11129.
Müller, C., Jägermeyr, J., Elliott, J., Ruane, A., Balkovic, J., Ciais, P., Falloon, P., Folberth, C., Francois, L., Hank, T., Hoffmann, M., Izaurralde, C., Khabarov, N., Liu, W., Olin, S., Pugh, T., Wang, X., Williams, K., Zabel, F. (2022): Regional and model-specific response types in a global gridded crop model ensemble. EGU22-9266, Vienna, Austria. doi: https://doi.org/10.5194/egusphere-egu22-9266.
Jaegermeyr, J., Müller, C., Ruane, A., Elliott, J., Balkovic, J., Castillo, O., Faye, B., Foster, I., Folberth, Ch., Franke, J., Fuchs, K., Guarin, J., Heinke, J., Hoogenboom, G., Iizumi, T., Jain, A., Kelly, D., Khabarov, N., Lange, S., Lin, T-S., Liu, W., Mialyk, O., Minoli, S., Moyer, E., Okada, M., Phillips, M., Porter, C., Rabin, S., Scheer, C., Schneider, J.M., Schyns, J., Skalský, R., Smerald, A., Stella, T., Stephens, H., Webber, H., Zabel, F., Rosenzweig, C. (2021): Climate change signal in global agriculture emerges earlier in new generation of climate and crop models. AGU 2021, U43D-06.
Schneider, J.M., Zabel, F., Delzeit, R., Heimann, T., Schünemann, F., Mauser, W. (2021): Assessing potential future cropland expansion – an interdisciplinary modeling framework. AGCI-Workshop, online.
Franke, J. A., Mueller, C., Elliott, J., Jägermeyr, J., Gardner, C., Minoli, S. Ruane, A. C., Stepehens, H., Zabel, F., Moyer, E. J. (2020): Little poleward shift of peak agricultural regions under warming. AGU 2020, GC035-02.
Zabel, F., Müller, C., Elliott, J. Minoli, Jägermeyr, J., Schneider, J. M., Franke, J. A., Folberth, C., Francois, L., Lui, W., Pugh, T., Olin, S., Hank. T., Mauser, W., Ruane, A. C. (2020): Global agriculture: Variety adaptation potentials and limitations. AGU 2020, GC076-06.
Zabel, F., Müller, C., Elliott, J. Minoli, S., Dury, M., Folberth, C., Francois, L., Lui, W., Mauser, W. Hank. T. Ruane, A.C. (2020): Global adaptation potentials under climate change. iCROPM2020, Montpellier, France.
Schneider, J. M., Zabel, F., Mauser, W., Delzeit, R., Seppelt, R., Václavík, T. (2020): Integrative trade-off analysis between agricultural land requirements, food security and biodiversity. iCROPM2020, Montpellier, France.
Müller, C., Elliott, J., Ruane, A., Jägermeyr, J., Balkovic, J., Ciais, P., Dury, M., Falloon, P., Folberth, C., Francois, L., Hank, T., Hoffmann, M., Izaurralde, C., Jacquemin, I., Jones, C., Khabarov, N., Koch, M., Liu, W., Olin, S., Pugh, T., Reddy, A., Wang, X., Williams, K., Zabel, F. (2019): Understanding crop model response types in a global gridded crop model ensemble. Agriculture and Climate Change 2019, Budapest, Hungary.
Mauser, W., Hank, T. Probst, E. Jaksztat, T., Heinzeller, C., Zabel, F., Delzeit, R., Klepper, G., Attinger, S., Samaniego, L., Marx, A., V.Haaren, C., Burkhardt, K., Schlattmann, A., Neuendorf, F., Bach, H., Klug, P., Kausch, I., Dotzler, S. Pfeiffer, S., Schubert-Frisius, M., Weissmüller, J., Hachinger, S., Kurz, W., V. Ramm, A. (2019): Virtual Water Values - Multiscale Monitoring of Global Water Resources and Options for their Efficient and Sustainable Use. GROW Statuskonferenz 2019, Frankfurt, Germany, Proceeding.
Müller, C., Elliott, J., Ruane, A., Jägermeyr, J., Balkovic, J., Folberth, C., Khabarov, N., Ciais, P., Wang, X., Dury, M., Francois, L., Jacquemin, I., Falloon, P., Williams, K., Hank, T., Zabel, F., Hoffmann, M., Jones, C., Reddy, A., Koch, M., Lui, W., Olin, S., Pugh, T.A.M. (2019): Understanding crop model response types in a global gridded crop model ensemble. Geophysical Research Abstracts, Vol. 21, EGU2019-15023. EGU General Assembly 2019, Vienna, Austria.
Jägermeyr, J. Robock, A. Elliott, J., Müller, C. Xia, L., Khabarov, N., Folberth, C. Schmid, E., Liu, W., Zabel, F., Rabin, S.S., Puma, M. J., Heslin, A. C., Franke, J., Foster, I., Asseng, S., Bardeen, C., Toon, W.B., Rosenzweig, C. (2019): A regional nuclear conflict would compromise global food security. American Geoscience Union, San Francisco, USA.
Hank, T., Bach, H., Jaksztat, T., Klug, P., Zabel, F., Brueggemann, L., Probst, E., Perosa, F., Ruf, T., Heinzeller, C., Mauser, W. (2018): Using Copernicus data and growth modelling to globally assess virtual water flows in agricultural production – the ViWA concept. IGARSS 2018, Valencia, Spain.
Minoli, S., Elliott, J., Ruane, A., Zabel, F., Dury, M., Folberth, C., Francois, L., Liu, W., Sakurai, G., Müller, C. (2018): Global crop production: adaptation options to temperature increase. European Geoscience Union, Vienna, Austria.
Zabel, F., Müller, C., Elliott, J., Ruane, Minoli, S., A., Dury, M., Folberth, C., Francois, L., Liu, W., Sakurai, G., Hank, T., Mauser, W. (2018): Agricultural adaptation: constraints and compensation opportunities to changes in temperature, precipitation and CO2 - a global multi-model analysis. AgMIP 7 Workshop, San José, Costa Rica.
Cronin, J., Zabel, F. (2018): Impacts of climate change on regional bioenergy feedstock availabilities. 26th European Biomass Conference & Exhibition, Copenhagen, Denmark.
Zabel, F., Delzeit, R., Seppelt, R. Mauser, W. Václivík, T. (2017): Trade-offs between intensification, expansion, biodiversity and food security – an integrated global approach. PECS 2017, Oaxaca, Mexico.
Müller, C., Elliott, J., Dury, M., François, L., Folberth, C., Iizumi, T., Izaurralde, C., Liu, W., Reddy, A., Sakurai, G., Wang, X., Zabel, F. (2017): Systematic global gridded crop simulations for improved understanding of climate change impacts on agricultural productivity. Agriculture and Climate Change 2017, Sitges, Spain.
Zabel, F., Delzeit, R., Meier, J., Mauser, W., Klepper, G. (2015): Global Biomass Demand and Supply: Do We Need to Expand Cropland or Can We Feed the World on Existing Cropland in 2050? 5th World Sustainability Forum, Basel, Switzerland.
Delzeit, R., Zabel, F., Meier, J., Mauser, W., Klepper, G. (2015): Quantifying Trade-Offs Between Food Security and Biodiversity. 5th World Sustainability Forum, Basel, Switzerland.
Zabel, F., Mauser, W., Hank, T. (2015): Impact of climate change on global agricultural potentials. Agriculture and Climate Change - Adapting Crops to Increased Uncertainty, Amsterdam, The Netherlands. Procedia Environmental Sciences, 29, 260-261, doi: https://doi.org/10.1016/j.proenv.2015.07.199.
Delzeit, R., Klepper, G., Zabel, F., Mauser, W. (2015): Global Mid-term Scenarios on possible pathways of global agricultural markets and land use. German Congress of Geography, Berlin, Germany.
Zabel, F., Delzeit, R., Mauser, W., Klepper, G. (2014): Quantifying trade-offs between food security and biodiversity under climate change conditions. Biodiversity and Food Security – From Trade-offs to Synergies 2014, Aix-En-Provence, France.
Zabel, F., Mauser, W., Putzenlechner, B., Delzeit, R., Klepper, G. (2014): Potential of improving food security through closing yield gaps and land use expansion. 2nd Global Land Project Open Science Meeting 2014, Berlin, Germany.
Delzeit, R., Klepper, G., Mauser, W., Putzenlechner, B., Zabel, F. (2014): Simulating yield gaps in a global computable equilibrium model for the world economy. 2nd Global Land Project Open Science Meeting 2014, Berlin, Germany.
Putzenlechner, B, Zabel, F., Delzeit, R., Mauser, W., Klepper, G. (2014): Global agricultural potentials - ecological and economic considerations. Sustainability in the Water-Food-Energy-Nexus 2014 , 69-70, Bonn, Germany.
Putzenlechner, B., Zabel, F., Muerth, M. and Mauser, W. (2013): Validation of simulated MM5-coupled PROMET land surface temperatures using MSG/SEVIRI data. ESA Living Planet Symposium, Edinburgh, United Kingdom.
Mauser, W., Bach, H., Hank, T., Zabel, F. and Putzenlechner, B. (2012): How spectroscopy from space will support world agriculture. International Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE Explore, 7321-7324, doi: https://doi.org/10.1109/IGARSS.2012.6351970.
Zabel, F., Mauser, W., Marke, T., Pfeiffer, A., Zängl, G. and Wastl, C. (2010): Two-way coupling a Regional Climate Model with a High-Resolution Land Surface Model. Earth Observation for Land-Atmosphere Interaction Science, Frascati, Italy.
Zabel, F., Mauser, W., Marke, T., Pfeiffer, A., Zängl, G. and Wastl, C. (2010): Two-way coupling the hydrological model PROMET with the regional climate model MM5. Geophysical Research Abstracts Vol. 12, Vienna, Austria.
Book chapters
Zabel, F., Mauser, W., Marke, T. (2015): Two-Way Coupling the PROMET and MM5 Models. In: Regional Assessment of Global Change Impacts - The Project GLOWA-Danube, 261-270, Springer, Heidelberg.
Zabel, F. (2015): Impact of Climate Change on Water Availability. In: Regional Assessment of Global Change Impacts - The Project GLOWA-Danube, 463-470, Springer, Heidelberg.
Mauser, W., Zabel, F., Marke, T., Reiter, A. (2015): Scenarios for the Development of Low Flow in the Upper Danube Basin. In: Regional Assessment of Global Change Impacts - The Project GLOWA-Danube, 471-480, Springer, Heidelberg.
Zabel, F., Mauser, W. and Marke, T. (2010): Teilprojekt Hydrologie/Fernerkundung - Zwei-Wege-Kopplung der Modelle PROMET und MM5, Kapitel 2.5.3, GLOWA-Danube-Projekt, LMU München (Hrsg.): Global Change Atlas. Einzugsgebiet Obere Donau, München.
Zabel, F. (2009): Teilprojekt Hydrologie/Fernerkundung - Änderung des Wasserhaushalts im Zuge des Klimawandels, Kapitel 3.1.1, GLOWA-Danube-Projekt, LMU München (Hrsg.): Global Change Atlas. Einzugsgebiet Obere Donau, München.
Mauser, W., Zabel, F., Marke, T. and Reiter, A. (2009): Teilprojekt Hydrologie/Fernerkundung - Szenarien zur Entwicklung des Niedrigwassers an der Oberen Donau, Kapitel 3.1.2, GLOWA-Danube-Projekt, LMU München (Hrsg.): Global Change Atlas. Einzugsgebiet Obere Donau, München.