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Pan-European crop modelling with EPIC: Implementation, up-scaling and regional crop yield validation

Citations

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Cited by:

  1. Dono, Gabriele & Cortignani, Raffaele & Giraldo, Luca & Doro, Luca & Roggero, Pier Paolo, 2014. "Assessing the awareness of climate change as a factor of adaptation in the agricultural sector," 2014 Third Congress, June 25-27, 2014, Alghero, Italy 173110, Italian Association of Agricultural and Applied Economics (AIEAA).
  2. Wang, Zhiqiang & Ye, Li & Jiang, Jingyi & Fan, Yida & Zhang, Xiaoran, 2022. "Review of application of EPIC crop growth model," Ecological Modelling, Elsevier, vol. 467(C).
  3. Le, Kieu N. & Jeong, Jaehak & Reyes, Manuel R. & Jha, Manoj K. & Gassman, Philip W. & Doro, Luca & Hok, Lyda & Boulakia, Stéphane, 2018. "Evaluation of the performance of the EPIC model for yield and biomass simulation under conservation systems in Cambodia," Agricultural Systems, Elsevier, vol. 166(C), pages 90-100.
  4. Phoebe Koundouri & Angelos Alamanos & Jeffrey D Sachs, 2024. "Innovating for Sustainability: The Global Climate Hub," DEOS Working Papers 2403, Athens University of Economics and Business.
  5. Wolf, Verena & Deppermann, Andre & Tabeau, Andrzej & Banse, Martin & van Berkum, Siemen & Haß, Marlen & Havlik, Petr & Philippidis, George & Salamon, Petra & Verma, Monika, 2016. "Linking three market models to project Russian and Ukrainian wheat markets till 2030," 155th Seminar, September 19-21, 2016, Kiev, Ukraine 245878, European Association of Agricultural Economists.
  6. Choi, Hyung Sik & Schneider, Uwe A. & Rasche, Livia & Cui, Junbo & Schmid, Erwin & Held, Hermann, 2015. "Potential effects of perfect seasonal climate forecasting on agricultural markets, welfare and land use: A case study of Spain," Agricultural Systems, Elsevier, vol. 133(C), pages 177-189.
  7. Flach, Rafaela & Skalský, Rastislav & Folberth, Christian & Balkovič, Juraj & Jantke, Kerstin & Schneider, Uwe A., 2020. "Water productivity and footprint of major Brazilian rainfed crops – A spatially explicit analysis of crop management scenarios," Agricultural Water Management, Elsevier, vol. 233(C).
  8. Dono, Gabriele & Cortignani, Raffaele & Dell'Unto, Davide & Deligios, Paola & Doro, Luca & Lacetera, Nicola & Mula, Laura & Pasqui, Massimiliano & Quaresima, Sara & Vitali, Andrea & Roggero, Pier Paol, 2016. "Winners and losers from climate change in agriculture: Insights from a case study in the Mediterranean basin," Agricultural Systems, Elsevier, vol. 147(C), pages 65-75.
  9. Falkner, Katharina & Schmid, Erwin & Mitter, Hermine, 2021. "Integrated modelling of cost-effective policies to regulate Western Corn Rootworm under climate scenarios in Austria," Ecological Economics, Elsevier, vol. 188(C).
  10. Marta Kozicka & Petr Havlík & Hugo Valin & Eva Wollenberg & Andre Deppermann & David Leclère & Pekka Lauri & Rebekah Moses & Esther Boere & Stefan Frank & Chris Davis & Esther Park & Noel Gurwick, 2023. "Feeding climate and biodiversity goals with novel plant-based meat and milk alternatives," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
  11. Kluts, Ingeborg & Wicke, Birka & Leemans, Rik & Faaij, André, 2017. "Sustainability constraints in determining European bioenergy potential: A review of existing studies and steps forward," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 719-734.
  12. Tatsumi, Kenichi, 2016. "Effects of automatic multi-objective optimization of crop models on corn yield reproducibility in the U.S.A," Ecological Modelling, Elsevier, vol. 322(C), pages 124-137.
  13. van der Velde, M. & Nisini, L., 2019. "Performance of the MARS-crop yield forecasting system for the European Union: Assessing accuracy, in-season, and year-to-year improvements from 1993 to 2015," Agricultural Systems, Elsevier, vol. 168(C), pages 203-212.
  14. Campana, P.E. & Lastanao, P. & Zainali, S. & Zhang, J. & Landelius, T. & Melton, F., 2022. "Towards an operational irrigation management system for Sweden with a water–food–energy nexus perspective," Agricultural Water Management, Elsevier, vol. 271(C).
  15. He, Liuyue & Xue, Jingyuan & Wang, Sufen, 2023. "WHCrop: A novel water-heat driven crop model for estimating the spatiotemporal dynamics of crop growth for arid region," Agricultural Water Management, Elsevier, vol. 287(C).
  16. Bhattarai, Mukesh Dev & Secchi, Silvia & Schoof, Justin, 2017. "Projecting corn and soybeans yields under climate change in a Corn Belt watershed," Agricultural Systems, Elsevier, vol. 152(C), pages 90-99.
  17. Stefan Hochrainer-Stigler & Juraj Balkovič & Kadri Silm & Anna Timonina-Farkas, 2019. "Large scale extreme risk assessment using copulas: an application to drought events under climate change for Austria," Computational Management Science, Springer, vol. 16(4), pages 651-669, October.
  18. Xiong, Wei & Balkovič, Juraj & van der Velde, Marijn & Zhang, Xuesong & Izaurralde, R. César & Skalský, Rastislav & Lin, Erda & Mueller, Nathan & Obersteiner, Michael, 2014. "A calibration procedure to improve global rice yield simulations with EPIC," Ecological Modelling, Elsevier, vol. 273(C), pages 128-139.
  19. Mitter, Hermine & Schmid, Erwin, 2021. "Informing groundwater policies in semi-arid agricultural production regions under stochastic climate scenario impacts," Ecological Economics, Elsevier, vol. 180(C).
  20. van Zelm, Rosalie & van der Velde, Marijn & Balkovic, Juraj & Čengić, Mirza & Elshout, Pieter M.F. & Koellner, Thomas & Núñez, Montserrat & Obersteiner, Michael & Schmid, Erwin & Huijbregts, Mark , 2018. "Spatially explicit life cycle impact assessment for soil erosion from global crop production," Ecosystem Services, Elsevier, vol. 30(PB), pages 220-227.
  21. Li, Runwei & Wei, Chenyang & Afroz, Mahnaz Dil & Lyu, Jun & Chen, Gang, 2021. "A GIS-based framework for local agricultural decision-making and regional crop yield simulation," Agricultural Systems, Elsevier, vol. 193(C).
  22. Palazzo,Amanda & Valin,Hugo Jean Pierre & Batka,Miroslav & Havlík,Petr, 2019. "Investment Needs for Irrigation Infrastructure along Different Socioeconomic Pathways," Policy Research Working Paper Series 8744, The World Bank.
  23. Zhang, Jie & Campana, Pietro Elia & Yao, Tian & Zhang, Yang & Lundblad, Anders & Melton, Forrest & Yan, Jinyue, 2018. "The water-food-energy nexus optimization approach to combat agricultural drought: a case study in the United States," Applied Energy, Elsevier, vol. 227(C), pages 449-464.
  24. Zhang, Yuanhong & Peng, Xingxing & Ning, Fang & Dong, Zhaoyang & Wang, Rui & Li, Jun, 2022. "Assessing the response of orchard productivity to soil water depletion using field sampling and modeling methods," Agricultural Water Management, Elsevier, vol. 273(C).
  25. Bao, Yawen & Hoogenboom, Gerrit & McClendon, Ron & Vellidis, George, 2017. "A comparison of the performance of the CSM-CERES-Maize and EPIC models using maize variety trial data," Agricultural Systems, Elsevier, vol. 150(C), pages 109-119.
  26. Ceglar, A. & van der Wijngaart, R. & de Wit, A. & Lecerf, R. & Boogaard, H. & Seguini, L. & van den Berg, M. & Toreti, A. & Zampieri, M. & Fumagalli, D. & Baruth, B., 2019. "Improving WOFOST model to simulate winter wheat phenology in Europe: Evaluation and effects on yield," Agricultural Systems, Elsevier, vol. 168(C), pages 168-180.
  27. Mitter, Hermine & Schmid, Erwin, 2019. "Computing the economic value of climate information for water stress management exemplified by crop production in Austria," Agricultural Water Management, Elsevier, vol. 221(C), pages 430-448.
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