L. Acosta-michlik and V. Espaldon, Assessing vulnerability of selected farming communities in the Philippines based on a behavioural model of agent's adaptation to global environmental change, Glob. Environ. Chang, vol.18, pp.554-563, 2008.

L. A. Acosta-michlik, M. D. Rounsevell, M. Bakker, A. Van-doorn, M. Gómez-delgado et al., An agent-based assessment of land use and ecosystem changes in traditional agricultural landscape of Portugal, Intell. Inf. Manag, vol.6, pp.55-80, 2014.

W. N. Adger, I. Brown, and S. Surminski, Advances in risk assessment for climate change adaptation policy, Philos. Trans. R. Soc. A Math. Phys. Eng. Sci, vol.376, 2018.

J. E. Annetts and E. Audsley, Multiple objective linear programming for environmental farm planning, J. Oper. Res. Soc, vol.53, pp.933-943, 2002.

M. R. Anwar, D. L. Liu, I. Macadam, and G. Kelly, Adapting agriculture to climate change: a review, Theor. Appl. Climatol, vol.113, pp.225-245, 2013.

S. Asseng, F. Ewert, C. Rosenzweig, J. W. Jones, J. L. Hatfield et al., , 2013.

S. Balbi, A. D. Prado, P. Gallejones, C. P. Geevan, G. Pardo et al., Modeling trade-offs among ecosystem services in agricultural production systems, Environ. Model. Softw, vol.72, pp.314-326, 2015.

G. Bellocchi, M. Rivington, K. Matthews, and M. Acutis, Deliberative processes for comprehensive evaluation of agroecological models, Rev. Agron. Sustain. Dev, vol.35, pp.589-605, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01151444

T. Berger and C. Troost, Agent-based modelling of climate adaptation and mitigation options in agriculture, J. Agric. Econ, vol.65, pp.323-348, 2014.

J. E. Bergez, P. Chabrier, C. Gary, M. H. Jeuffroy, D. Makowski et al., An open platform to build, evaluate and simulate integrated models of farming and agro-ecosystems, Environ. Model. Softw, vol.39, pp.39-49, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01001118

V. Bitsch, Qualitative research: a Grounded Theory example and evaluation criteria, J. Agribus, vol.23, pp.75-91, 2005.

S. Briner, C. Elkin, R. Huber, and A. Grêt-regamey, Assessing the impacts of economic and climate changes on land-use in mountain regions: a spatial dynamic modeling approach, Agric. Ecosyst. Environ, vol.149, pp.50-63, 2012.

D. Cammarano, M. Rivington, K. B. Matthews, D. G. Miller, and G. Bellocchi, Implications of climate model biases and downscaling on crop model simulated climate change impacts, Eur. J. Agron, vol.88, pp.63-75, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01519329

A. J. Challinor, J. Watson, D. B. Lobell, S. M. Howden, D. R. Smith et al., A meta-analysis of crop yield under climate change and adaptation, Nat. Clim. Chang, vol.4, 2014.

R. P. Kipling, Environmental Modelling and Software, vol.120, p.104492, 2019.

X. Chardon, Evaluation environnementale des exploitations laitieres par modelisation dynamique de leur fonctionnement et des flux de matiere: developpement et application du simulateur Melodie, 2008.
URL : https://hal.archives-ouvertes.fr/pastel-00004548

X. Chardon, C. Raison, A. L. Gall, T. Morvan, and P. Faverdin, Fumigene: a model to study the impact of management rules and constraints on agricultural waste allocation at the farm level, J. Agric. Sci, vol.146, pp.521-539, 2008.
URL : https://hal.archives-ouvertes.fr/hal-01460871

X. Chardon, C. Rigolot, C. Baratte, S. Espagnol, C. Raison et al., MELODIE: a whole-farm model to study the dynamics of nutrients in dairy and pig farms with crops, Animal, vol.6, pp.1711-1721, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00849187

K. Charmaz, Constructing Grounded Theory: a Practical Guide through Qualitative Analysis, second ed, 2014.

A. Chaudhary, D. Gustafson, and A. Mathys, Multi-indicator sustainability assessment of global food systems, Nat. Commun, vol.9, 2018.

G. Corre-hellou, M. Faure, M. Launay, N. Brisson, and Y. Crozat, Adaptation of the STICS intercrop model to simulate crop growth and N accumulation in pea-barley intercrops, Field Crop. Res, vol.113, pp.72-81, 2009.

D. Prado, A. Crosson, P. Olesen, J. E. Rotz, and C. A. , Whole-farm models to quantify greenhouse gas emissions and their potential use for linking climate change mitigation and adaptation in temperate grassland ruminant-based farming systems, Animal, vol.7, pp.373-385, 2013.

J. P. Dietrich, C. Schmitz, H. Lotze-campen, A. Popp, and C. Müller, Forecasting technological change in agriculture-an endogenous implementation in a global land use model, Technol. Forecast. Soc. Chang, vol.81, pp.236-249, 2014.

V. Diogo, P. Reidsma, B. Schaap, B. P. Andree, and E. Koomen, Assessing local and regional economic impacts of climatic extremes and feasibility of adaptation measures in Dutch arable farming systems, Agric. Syst, vol.157, pp.216-229, 2017.

R. Dittrich, A. Wreford, C. F. Topp, V. Eory, and D. Moran, A guide towards climate change adaptation in the livestock sector: adaptation options and the role of robust decision-making tools for their economic appraisal, Reg. Environ. Chang, vol.17, pp.1701-1712, 2017.

G. Dono, R. Cortignani, D. Dell'unto, P. Deligios, L. Doro et al., Winners and losers from climate change in agriculture: Insights from a case study in the Mediterranean basin, Agric. Syst, vol.147, pp.65-75, 2016.

F. Ehrhardt, J. F. Soussana, G. Bellocchi, P. Grace, R. Mcauliffe et al., Assessing uncertainties in crop and pasture ensemble model simulations of productivity and N2O emissions, Glob. Chang. Biol, vol.24, pp.603-616, 2018.

W. N. Espeland and M. L. Stevens, A sociology of quantification, Eur. J. Sociol, vol.49, pp.401-436, 2008.

F. Ewert, R. P. Rötter, M. Bindi, H. Webber, M. Trnka et al., Crop modelling for integrated assessment of risk to food production from climate change, Environ. Model. Softw, vol.72, pp.287-303, 2015.

, Adaptation to Climate Change in Agriculture, Forestry and Fisheries: Perspective, Framework and Priorities, FAO, 2007.

C. Fezzi and I. Bateman, The impact of climate change on agriculture: nonlinear effects and aggregation bias in Ricardian models of farmland values, J. Assoc. Environ. Resour. Econ, vol.2, pp.57-92, 2015.

R. Finger and P. Calanca, Risk management strategies to cope with climate change in grassland production: an illustrative case study for the Swiss plateau, Reg. Environ. Chang, vol.11, pp.935-949, 2011.

J. A. Foley, R. Defries, G. P. Asner, C. Barford, G. Bonan et al., Global consequences of land use, Science, vol.309, 2005.

R. E. Freeman, Strategic Management: A Stakeholder Approach, 1984.

E. A. Fulton, F. Boschetti, M. Sporcic, T. Jones, L. R. Little et al., A multi-model approach to engaging stakeholder and modellers in complex environmental problems, Environ. Sci. Policy, vol.48, pp.44-56, 2015.

F. Garcia, P. Faverdin, L. Delaby, and J. L. Peyraud, Tournesol: a model to simulate cropping plans in dairy production systems, Rencontres Autour Rech. les Ruminants, vol.12, pp.195-198, 2005.

H. C. Godfray, J. R. Beddington, I. R. Crute, L. Haddad, D. Lawrence et al., Food security: the challenge of feeding 9 billion people, Science, vol.327, p.812, 2010.

A. I. Graux, M. Gaurut, J. Agabriel, R. Baumont, R. Delagarde et al., Development of the Pasture Simulation Model for assessing livestock production under climate change, Agric. Ecosyst. Environ, vol.144, pp.69-91, 2011.

J. C. Groot, G. J. Oomen, and W. A. Rossing, Multi-objective optimization and design of farming systems, Agric. Syst, vol.110, pp.63-77, 2012.

H. Grüneis, M. Penker, and K. Höferl, The full spectrum of climate change adaptation: testing an analytical framework in Tyrolean mountain agriculture (Austria). SpringerPlus 5, 1848, 2016.

S. Hallegatte, Strategies to adapt to an uncertain climate change, Glob. Environ. Chang, vol.19, pp.240-247, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00715561

A. Hamidov, K. Helming, G. Bellocchi, W. Bojar, T. Dalgaard et al., Impacts of Climate Change Adaptation Options on Soil Functions: a Review of European Case Studies, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01938704

S. H. Hamilton, B. Fu, J. H. Guillaume, J. Badham, S. Elsawah et al., A framework for characterising and evaluating the effectiveness of environmental modelling, Environ. Model. Softw, vol.118, pp.83-98, 2019.

I. P. Holman, C. Brown, V. Janes, and D. Sandars, Can we be certain about future land use change in Europe? A multi-scenario, integrated-assessment analysis, Agric. Syst, vol.151, pp.126-135, 2017.

S. M. Howden, J. Soussana, F. N. Tubiello, N. Chhetri, M. Dunlop et al., Adapting agriculture to climate change, Proc. Natl. Acad. Sci, vol.104, pp.19691-19696, 2007.

A. Iglesias and L. Garrote, Adaptation strategies for agricultural water management under climate change in, Europe. Agric. Water Manag, vol.155, pp.113-124, 2015.

A. J. Jakeman, R. A. Letcher, and J. P. Norton, Ten iterative steps in development and evaluation of environmental models, Environ. Model. Softw, vol.21, pp.602-614, 2006.

K. Jansen, Implicit sociology, interdisciplinarity and systems theories in agricultural science, Sociol. Rural, vol.49, pp.172-188, 2009.

S. Janssen, K. Louhichi, A. Kanellopoulos, P. Zander, G. Flichman et al., A generic bio-economic farm model for environmental and economic assessment of agricultural systems, Environ. Manag, vol.46, pp.862-877, 2010.
URL : https://hal.archives-ouvertes.fr/hal-01172933

A. W. Johansson and E. Lindhult, Emancipation or workability?:Critical versus pragmatic scientific orientation in action research, Action Res, vol.6, pp.95-115, 2008.

E. Kalaugher, P. Beukes, J. F. Bornman, A. Clark, and D. I. Campbell, Modelling farmlevel adaptation of temperate, pasture-based dairy farms to climate change, Agric. Syst, vol.153, pp.53-68, 2017.

A. Kanellopoulos, P. Reidsma, J. Wolf, and M. K. Van-ittersum, Assessing climate change and associated socio-economic scenarios for arable farming in The Netherlands: an application of benchmarking and bio-economic farm modelling, Eur. J. Agron, vol.52, pp.69-80, 2014.

A. Kay, Path dependency and the CAP, J. Eur. Public Policy, vol.10, pp.405-420, 2003.

R. P. Kipling and ?. Özkan-gülzari, Stakeholder engagement and the perceptions of researchers: how agricultural modellers view challenges to communication, Adv. Anim. Biosci, vol.7, pp.240-241, 2016.

R. P. Kipling, A. Bannink, G. Bellocchi, T. Dalgaard, N. J. Fox et al., Modeling European ruminant production systems: facing the challenges of climate change, Agric. Syst, vol.147, pp.24-37, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01509046

R. P. Kipling, P. Virkajärvi, L. Breitsameter, Y. Curnel, T. De-swaef et al., Key challenges and priorities for modelling European grasslands under climate change, Sci. Total Environ, pp.851-864, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01512163

R. P. Kipling, N. D. Scollan, A. Bannink, and J. Van-middelkoop, From Diversity to Strategy: Livestock Research for Effective Policy in a Climate Change World, Policy Brief, vol.1, 2016.

M. Kirchner, M. Schönhart, and E. Schmid, Spatial impacts of the CAP post-2013 and climate change scenarios on agricultural intensification and environment in Austria, Ecol. Econ, vol.123, pp.35-56, 2016.

J. Kitzinger, Qualitative research. Introducing focus groups, Br. Med. J, vol.311, pp.299-302, 1995.

C. Kollas, K. C. Kersebaum, C. Nendel, K. Manevski, C. Müller et al., Crop rotation modelling-a European model intercomparison, Eur. J. Agron, vol.70, pp.98-111, 2015.

D. J. Lang, A. Wiek, M. Bergmann, M. Stauffacher, P. Martens et al., Transdisciplinary research in sustainability science: practice, principles, and challenges, Sustain. Sci, vol.7, p.104492, 2012.

H. Lehtonen, Sector-level economic modeling as a tool in evaluating greenhouse gas mitigation options, Acta Agric. Scand. Sect. A Anim. Sci, vol.62, pp.326-335, 2012.

X. Liu, H. Lehtonen, T. Purola, Y. Pavlova, R. Rötter et al., Dynamic economic modelling of crop rotations with farm management practices under future pest pressure, Agric. Syst, vol.144, pp.65-76, 2016.

D. B. Lobell, M. B. Burke, C. Tebaldi, M. D. Mastrandrea, W. P. Falcon et al., Prioritizing climate change adaptation needs for food security in 2030, Science, vol.319, 2008.

M. Mandryk, P. Reidsma, A. Kanellopoulos, J. C. Groot, and M. K. Van-ittersum, The role of farmers' objectives in current farm practices and adaptation preferences: a case study in Flevoland, The Netherlands. Reg. Environ. Chang, vol.14, pp.1463-1478, 2014.

M. Mandryk, P. Reidsma, and M. K. Van-ittersum, Crop and farm level adaptation under future climate challenges: an exploratory study considering multiple objectives for Flevoland, The Netherlands, Agric. Syst, vol.152, pp.154-164, 2017.

G. Martin, B. Felten, and M. Duru, Forage rummy: a game to support the participatory design of adapted livestock systems, Environ. Model. Softw, vol.26, pp.1442-1453, 2011.

G. Martin, A conceptual framework to support adaptation of farming systemsdevelopment and application with Forage Rummy, Agric. Syst, vol.132, pp.52-61, 2015.

P. Martre, D. Wallach, S. Asseng, F. Ewert, J. W. Jones et al., Multimodel ensembles of wheat growth: many models are better than one, Glob. Chang. Biol, vol.21, pp.911-925, 2015.

R. Martin and P. Sunley, Path dependence and regional economic evolution, J. Econ. Geogr, vol.6, pp.395-437, 2006.

H. Mitter, M. Schönhart, M. Larcher, and E. Schmid, The Stimuli-Actions-EffectsResponses (SAER)-framework for exploring perceived relationships between private and public climate change adaptation in agriculture, J. Environ. Manag, vol.209, pp.286-300, 2018.

F. C. Moore and D. B. Lobell, Adaptation potential of European agriculture in response to climate change, Nat. Clim. Chang, vol.4, p.610, 2014.

A. D. Moore, D. P. Holzworth, N. I. Herrmann, H. E. Brown, P. G. De-voil et al., Modelling the manager: representing rule-based management in farming systems simulation models, Environ. Model. Softw, vol.62, pp.399-410, 2014.

W. Morris, A. Henley, and D. Dowell, Farm diversification, entrepreneurship and technology adoption: analysis of upland farmers in Wales, J. Rural Stud, vol.53, pp.132-143, 2017.

T. Moulin, A. Perasso, and F. Gillet, Modelling vegetation dynamics in managed grasslands: responses to drivers depend on species richness, Ecol. Model, vol.374, pp.22-36, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01779748

P. Newell and O. Taylor, Contested landscapes: the global political economy of climate-smart agriculture, J. Peasant Stud, vol.45, pp.108-129, 2018.

F. Newbery, A. Qi, and B. D. Fitt, Modelling impacts of climate change on arable crop diseases: progress, challenges and applications, Curr. Opin. Plant Biol, vol.32, pp.101-109, 2016.

T. P. Nguyen, G. Seddaiu, and P. P. Roggero, Hybrid knowledge for understanding complex agri-environmental issues: nitrate pollution in Italy, Int. J. Agric. Sustain, vol.12, pp.164-182, 2014.

J. G. Nuttall, G. J. O'leary, J. F. Panozzo, C. K. Walker, K. M. Barlow et al., Models of grain quality in wheat-a review, Field Crop. Res, vol.202, pp.136-145, 2017.

J. E. Olesen, Climate Change, Impacts and Vulnerability in Europe, European Environment Agency, pp.223-243, 2016.

?. Özkan, A. Vitali, N. Lacetera, B. Amon, A. Bannink et al., Challenges and priorities for modelling livestock health and pathogens in the context of climate change, Environ. Res, vol.151, pp.130-144, 2016.

?. Özkan-gülzari, B. A. Åby, T. Persson, M. Höglind, and K. Mittenzwei, Combining models to estimate the impacts of future climate scenarios on feed supply, greenhouse gas emissions and economic performance on dairy farms in Norway, Agric. Syst, vol.157, pp.157-169, 2017.

V. A. Pappa, R. M. Rees, R. L. Walker, J. A. Baddeley, and C. A. Watson, Legumes intercropped with spring barley contribute to increased biomass production and carryover effects, J. Agric. Sci, vol.150, pp.584-594, 2012.

N. Pirttioja, T. R. Carter, S. Fronzek, M. Bindi, H. Hoffmann et al., Clim. Res, vol.65, pp.87-105, 2015.

J. Ramirez-villegas, J. Watson, and A. J. Challinor, Identifying traits for genotypic adaptation using crop models, J. Exp. Bot, vol.66, pp.3451-3462, 2015.

D. Reckien, F. Creutzig, B. Fernandez, S. Lwasa, M. Tovar-restrepo et al., Climate change, equity and the Sustainable Development Goals: an urban perspective, Environ. Urbanization, vol.29, pp.159-182, 2017.

M. S. Reed, A. Graves, N. Dandy, H. Posthumus, K. Hubacek et al., Who's in and why? A typology of stakeholder analysis methods for natural resource management, J. Environ. Manag, vol.90, pp.1933-1949, 2009.

M. S. Reed, L. C. Stringer, I. Fazey, A. C. Evely, and J. H. Kruijsen, Five principles for the practice of knowledge exchange in environmental management, J. Environ. Manag, vol.146, pp.337-345, 2014.

P. Reidsma, F. Ewert, A. O. Lansink, and R. Leemans, Adaptation to climate change and climate variability in European agriculture: the importance of farm level responses, Eur. J. Agron, vol.32, pp.91-102, 2010.

P. Reidsma, M. M. Bakker, A. Kanellopoulos, S. J. Alam, W. Paas et al., Sustainable agricultural development in a rural area in The Netherlands? Assessing impacts of climate and socio-economic change at farm and landscape level, Agric. Syst, vol.141, pp.160-173, 2015.

P. Reidsma, J. Wolf, A. Kanellopoulos, B. F. Schaap, M. Mandryk et al., Climate change impact and adaptation research requires integrated assessment and farming systems analysis: a case study in The Netherlands, Environ. Res. Lett, vol.10, p.45004, 2015.

P. Reidsma, S. Janssen, J. Jansen, and M. K. Van-ittersum, On the development and use of farm models for policy impact assessment in the European Union -a review, Agric. Syst, vol.159, pp.111-125, 2018.

J. Reilly and D. Schimmelpfennig, Irreversibility, uncertainty, and learning: portraits of adaptation to long-term climate change, Clim. Change, vol.45, pp.253-278, 2000.

J. Ritchie, J. Lewis, C. Mcnaughton-nicholls, and R. Ormston, Qualitative Research Practice: A Guide for Social Science Students and Researchers, second ed, 2014.

M. Robert, A. Thomas, and J. Bergez, Processes of adaptation in farm decisionmaking models, Rev. Agron. Sustain. Dev, vol.36, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01628834

A. Rodríguez, M. Ruiz-ramos, T. Palosuo, T. R. Carter, S. Fronzek et al., Implications of crop model ensemble size and composition for estimates of adaptation effects and agreement of recommendations, Agric. For. Meteorol, 2018.

C. Rosenzweig, J. W. Jones, J. L. Hatfield, A. C. Ruane, K. J. Boote et al., The agricultural model intercomparison and improvement project (AgMIP): protocols and pilot studies, Agric. For. Meteorol, vol.170, pp.166-182, 2013.

R. P. Rötter, M. P. Hoffmann, M. Koch, and C. Müller, Progress in modelling agricultural impacts of and adaptations to climate change, Curr. Opin. Plant Biol, 2018.

M. Ruiz-ramos, R. Ferrise, A. Rodríguez, I. J. Lorite, M. Bindi et al., Adaptation response surfaces for managing wheat under perturbed climate and CO2 in a Mediterranean environment, Agric. Syst, vol.159, pp.260-274, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01607319

E. R. Saetnan and R. P. Kipling, Evaluating a European knowledge hub on climate change in agriculture: are we building a better connected community?, Scientometrics, vol.109, pp.1057-1074, 2016.

A. Sanz-cobena, L. Lassaletta, E. Aguilera, A. D. Prado, J. Garnier et al., Strategies for greenhouse gas emissions mitigation in Mediterranean agriculture: a review, Agric. Ecosyst. Environ, vol.238, pp.5-24, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01606522

R. Sándor, Z. Barcza, M. Acutis, L. Doro, D. Hidy et al., Multi-model simulation of soil temperature, soil water content and biomass in Euro-Mediterranean grasslands: uncertainties and ensemble performance, Eur. J. Agron, vol.88, pp.22-40, 2017.

R. P. Kipling, Environmental Modelling and Software, vol.120, p.104492, 2019.

B. F. Schaap, P. Reidsma, J. Verhagen, J. Wolf, and M. K. Van-ittersum, Participatory design of farm level adaptation to climate risks in an arable region in The Netherlands, Eur. J. Agron, vol.48, pp.30-42, 2013.

M. Schönhart, H. Mitter, E. Schmid, G. Heinrich, and A. Gobiet, Integrated analysis of climate change impacts and adaptation measures in Austrian agriculture, German J. Agric. Econ, vol.63, pp.156-176, 2014.

M. Schönhart, T. Schauppenlehner, M. Kuttner, M. Kirchner, and E. Schmid, Climate change impacts on farm production, landscape appearance, and the environment: policy scenario results from an integrated field-farm-landscape model in Austria, Agric. Syst, vol.145, pp.39-50, 2016.

M. Schönhart, H. Trautvetter, J. Parajka, A. P. Blaschke, G. Hepp et al., Modelled impacts of policies and climate change on land use and water quality in Austria, Land Use Policy, vol.76, pp.500-514, 2018.

F. Siedlok and P. Hibbert, The organization of interdisciplinary research: modes, drivers and barriers, Int. J. Manag. Rev, vol.16, pp.194-210, 2014.

J. Soussana, E. Fereres, S. P. Long, F. G. Mohren, R. Pandya-lorch et al., A European science plan to sustainably increase food security under climate change, Glob. Chang. Biol, vol.18, pp.3269-3271, 2012.

J. Star, E. L. Rowland, M. E. Black, C. A. Enquist, G. Garfin et al., Supporting adaptation decisions through scenario planning: enabling the effective use of multiple methods, Clim. Risk Manag, vol.13, pp.88-94, 2016.

N. Stern, The Economics of Climate Change: the Stern Review, 2007.

S. Terzi, S. Torresan, S. Schneiderbauer, A. Critto, M. Zebisch et al., Multi-risk assessment in mountain regions: a review of modelling approaches for climate change adaptation, J. Environ. Manag, vol.232, pp.759-771, 2019.

P. K. Thornton, Livestock production: recent trends, future prospects, Philos. Trans. R. Soc. Biol. Sci, vol.365, pp.2853-2867, 2010.

D. Tilman and J. A. Downing, Biodiversity and stability in grasslands, Nature, vol.367, 1994.

D. Tilman, P. B. Reich, and J. M. Knops, Biodiversity and ecosystem stability in a decade-long grassland experiment, Nature, vol.441, 2006.

M. Tomassini and L. Luthi, Empirical analysis of the evolution of a scientific collaboration network, Phys. A Stat. Mech. Appl, vol.385, pp.750-764, 2007.

R. O. Valdivia, J. M. Antle, L. Claessens, G. C. Nelson, C. Rosenzweig et al., Representative Agricultural Pathways and Scenarios: A Transdisciplinary Approach to Agricultural Model Inter-comparison, Improvement and Climate Impact Assessment, Water, Food, Energy and Innovation for a Sustainable World, CSSA and SSSA International Annual Meetings. ASA, CSSA and SSSA, 2013.

M. Van-oijen, G. Bellocchi, and M. Höglind, Effects of climate change on grassland biodiversity and productivity: the need for a diversity of models, vol.8, p.14, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01717916

A. Van-paassen, R. P. Roetter, H. Van-keulen, and C. T. Hoanh, Can computer models stimulate learning about sustainable land use? Experience with LUPAS in the humid (sub-)tropics of Asia, Agric. Syst, vol.94, pp.874-887, 2007.

M. Vieira-pak and D. Castillo-brieva, Designing and implementing a Role-Playing Game: a tool to explain factors, decision making and landscape transformation, Environ. Model. Softw, vol.25, pp.1322-1333, 2010.

A. Voinov, N. Kolagani, M. K. Mccall, P. D. Glynn, M. E. Kragt et al., Modelling with stakeholders -next generation, Environ. Model. Softw, vol.77, pp.196-220, 2016.

T. Wheeler and C. Reynolds, Predicting the risks from climate change to forage and crop production for animal feed, Anim. Front, vol.3, pp.36-41, 2013.

J. Wolf, A. Kanellopoulos, J. Kros, H. Webber, G. Zhao et al., Combined analysis of climate, technological and price changes on future arable farming systems in Europe, Agric. Syst, vol.140, pp.56-73, 2015.

R. K. Yin, Case Study Research: Design and Methods, revised edition, 1989.

Q. Zhang, W. Zhang, T. Li, W. Sun, Y. Yu et al., Projective analysis of staple food crop productivity in adaptation to future climate change in China, Int. J. Biometeorol, vol.61, pp.1445-1460, 2017.

R. P. Kipling, Environmental Modelling and Software, vol.120, p.104492, 2019.