Modelling grassland vulnerability to climate change

Gianni Bellocchi

Abstract


A model-based methodology for vulnerability assessment in agriculture is illustrated, with applications to grassland sites and large regions, which reflects the experiences of MACSUR-LiveM (linked to other projects and initiatives). The most recent developments include a multi-metric indicator for assessing the adaptive capacity of agricultural districts, whose potential is illustrated with an exemplary application to the pilot case study of Arborea (Italy).


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References


Ainsworth, E.A., Rogers, A., 2007. The response of photosynthesis and stomatal conductance to rising [CO2]: mechanisms and environmental interactions. Plant, Cell & Environment 30, 258-270.

Bassu, S., Brisson, N., Durand, J.L. et al., 2014. How do various maize crop models vary in their responses to climate change factors? Global Change Biology 20, 2301–2320.

Bellocchi, G., Ruiu, M.L., Piras, F., Roggero P.P., Seddaiu, G., 2017. Assessing priorities for enhancing adaptive capacity of agricultural systems to climate change using fuzzy logic-based approaches. MACSUR Science Conference 2017, May 22-24, Berlin, Germany. http://macsur.eu/index.php/events/macsur-science-conference-2017-may-22-24

Bellocchi, G., Viovy, N., Eza, U., Martin, R., Chang, J., 2014. Vulnerability analysis of production. AnimalChange D5.5.

Boe, J., 2007. Changement global et cycle hydrologique : Une étude de régionalisation sur la France. PhD thesis, University Paul Sabatier - Toulouse III, Toulouse (in French). https://tel.archives-ouvertes.fr/tel-00256811

Eza, U., Shtiliyanova, A., Borras, D., Bellocchi, G., Carrère, P., Martin, R., 2015. An open platform to assess vulnerabilities to climate change: An application to agricultural systems. Ecological Informatics 30, 389–396.

Kollas, C., Kersebaum, K.C., Nendel, C., et al., 2015. Crop rotation modelling - A European model intercomparison. European Journal of Agronomy 70, 98–111.

Lardy, R., Bachelet, B., Bellocchi, G., Hill, D.R.C., 2014. Towards vulnerability minimization of grassland soil organic matter using metamodels. Environmental Modelling & Software 52, 38-50.

Li T, Hasegawa T, Yin X et al., 2015. Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions. Global Change Biology 21, 1328-1341.

Luers, A.L., Lobell, D.B., Sklar, L.S., Addams, C.L., Matson, P.M., 2003. A method for quantifying vulnerability, applied to the agricultural system of the Yaqui Valley, Mexico. Global Environmental Change 13, 255-267

Ma, S., Acutis, M., Barcza, Z., Ben Touhami, H., Doro, L., Hidy, D., Kӧchy, M., Minet, J., Lellei-Kovács, E., Perego, A., Rolinski, S., Ruget, F., Seddaiu, G., Wu, L., Bellocchi, G., 2014. The grassland model intercomparison of the MACSUR (Modelling European Agriculture with Climate Change for Food Security) European knowledge hub. In: Ames, D.P., Quinn, N.W.T., Rizzoli, A.E. (eds.), Proceedings of the 7th International Congress on Environmental Modelling and Software, June 15-19, San Diego, CA, USA.

Metzger, M.J., Rounsevell, M.D.A., Acosta-Michlik, L., Leemans, R., Schröter, D., 2006. The vulnerability of ecosystem services to land use change. Agriculture, Ecosystems and Environment 114, 69-85.

Ruane, A.C., Hudson, N.I., Asseng, S. et al., 2016 Multi-wheat-model ensemble responses to interannual climate variability. Environmental Modelling & Software 81, 86–101.

Sándor, R., Barcza, Z., Acutis, M. et al., 2017. Multi-model simulation of soil temperature, soil water content and biomass in Euro-Mediterranean grasslands: Uncertainties and ensemble performance. European Journal of Agronomy, http://doi.org/10.1016/j.eja.2016.06.006

Sándor, R., Ma, S., Acutis, M., et al., 2015. Uncertainty in simulating biomass yield and carbon-water fluxes from grasslands under climate change. Advances in Animal Biosciences 6, 49-51.

Wise, R.M., Fazey, I., Stafford Smith, M., Park, S.E., Eakin, H.C., Archer Van Garderen, E.R.M., Campbell, B., 2014. Reconceptualising adaptation to climate change as part of pathways of change and response. Global Environmental Change 28, 389–396.





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