Jacquemin et al 2021 - Using the CARAIB dynamic vegetation model to simulate crop yields in Belgium - validation and projections for the 2035 horizon.pdf
[en] The CARAIB model was initially designed to describe the dynamics of natural ecosystems and to study the role of vegetation in the global carbon cycle. In order to be able to respond to new challenges (such as the study of climate-vegetation feedback or the evaluation of ecosystem services), the model has been adapted with a new module allowing it to cover all vegetation, natural and managed, such as cultures. Before it can be applied over Belgium, the model was validated at two scales and according to two types of data: (1) on an eddy-covariance measurement site, and (2) on a Belgian national scale based on average yield data by agricultural region and for the recent past. The model was then applied at the Belgian scale, forced under two future climate scenarios up to the year 2035, in order to assess the potential impacts of climate change on the agricultural yields of the six main crops of the country (winter wheat, winter barley, potatoes, maize, sugar beet and rapeseed) and therefore the risks incurred by farmers.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Jacquemin, Ingrid ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Modélisation du climat et des cycles biogéochimiques
Berckmans, J.
Henrot, Alexandra-Jane ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Modélisation du climat et des cycles biogéochimiques
Dury, Marie ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Exotic
Tychon, Bernard ; Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Eau, Environnement, Développement
Hambuckers, Alain ; Université de Liège - ULiège > Département de Biologie, Ecologie et Evolution > Biologie du comportement - Ethologie et psychologie animale
Hamdi, Rafiq
François, Louis ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Modélisation du climat et des cycles biogéochimiques
Language :
English
Title :
Using the CARAIB dynamic vegetation model to simulate crop yields in Belgium: validation and projections for the 2035 horizon
Publication date :
2021
Journal title :
Geo-Eco-Trop: Revue Internationale de Géologie, de Géographie et d'Écologie Tropicales
AUBINET, M., MOUREAUX, C., BODSON, B., DUFRANNE, B., HEINESCH, B., SULEAU, M., VANCUTSEM, F. & VILRET, A., 2009. Carbon sequestration by a crop over a 4-year sugar beet/winter wheat/seed potato/winter wheat rotation cycle. Agricultural and Forest Meteorology, 149: 407-418.
BECKERS, V., BECKERS, J., VANMAERCKE, M., VAN HECKE, E., VAN ROMPAEY, A. & DENDONCKER, N., 2018. Modelling farm growth and its impact on agricultural land use: A country scale application of an agent-based model. Land, 7(3), 109.
BONDEAU, A., SMITH, P., ZAEHLE, S., SCHAPHOFF, S., LUCHT, W., CRAMER, W., GERTEN, D., LOTZE-CAMPEN, H., MÜLLER, C., REICHSTEIN, M. & SMITH, B., 2007. Modelling the role of agriculture for the 20th century global terrestrial carbon balance. Global Change Biology, 13: 679–706.
BUYSSE, P., BODSON, B., DEBACQ, A., DE LIGNE, A., HEINESCH, B., MANISE, T., MOUREAUX, C. & AUBINET, M., 2017. Carbon budget measurement over 12 years at a crop production site in the silty-loam region in Belgium. Agricultural and Forest Meteorology, 246: 241-255.
DAVIN, E.L., STÖCKLI, R., JAEGER, E.B., LEVIS, S. & SENEVIRATNE, S.I., 2011. COSMO-CLM2: a new version of the COSMO-CLM model coupled to the Community Land Model. Climate Dynamics, 37: 1889-1907.
DELIRE, Ch., DE NOBLET, N., SIMA, A. & GOUIRAND, I., 2011. Vegetation dynamics enhancing long-term climate variability confirmed by two models. Journal of Climate, 24: 2238-2257.
DUFRANNE, D., MOUREAUX, C., VANCUTSEM, F., BODSON, B. & AUBINET, M., 2011: Comparison of carbon fluxes, growth and productivity of a winter wheat crop in three contrasting growing seasons. Agriculture, Ecosystems and Environment, 141: 133-142.
DURY, M., HAMBUCKERS, A., WARNANT, P., HENROT, A.-J., FAVRE, E., OUBERDOUS, M. & FRANÇOIS, L., 2011. Response of the European forests to climate change: a modelling approach for the 21st century. iForest, 4: 82-89.
DURY, M., MERTENS, L., FAYOLLE, A., VERBEECK, H., HAMBUCKERS, A. & FRANÇOIS, L., 2018. Refining species traits in a dynamic vegetation model to project the impacts of climate change on tropical trees in Central Africa. Forest, 9, 722.
DURY, M., JACQUEMIN, I., HENROT, A.-J. & FRANÇOIS, L., 2019. Estimation of present and future soil water balance and its impacts on wheat yields over North and sub-Saharan Africa using a dynamic vegetation model. Geo-Eco-Trop, 43: 317-326.
FONTAINE, C.M., DENDONCKER, N., DE VRESSE, R., JACQUEMIN, I., MAREK, A., VAN HERZELE, A., DEVILLET, G., MORTERLMANS, D., & FRANÇOIS, L., 2014. Towards participatory integrated valuation and modelling of ecosystem services under land-use change. Journal of Land Use Science, 9: 278-303.
FRANÇOIS, L.M., DELIRE, C., WARNANT, P., & MUNHOVEN, G., 1998. Modelling the glacial-interglacial changes in the continental biosphere. Global and Planetary Change, 16-17: 37-52.
FRANÇOIS, L., UTESCHER, T., FAVRE, E., HENROT, A.-J., WARNANT, P., MICHEELS, A., ERDEI, B., SUC, J.-P., CHEDDADI, R. & MOSBRUGGER, V., 2011. Modelling late Miocene vegetation in Europe: results of the CARAIB model and comparison with palaeo-vegetation data. Palaeogeography, Palaeoclimatology, Palaeoecology, 304: 359-378.
FRANCOIS, L., JACQUEMIN, I., HENROT, A-J., HAMBUCKERS, A., TYCHON, B., BERCKMANS, J., HAMDI, R., BECKERS, V., DENDONCKER, N., HOREMANS, J., CEULEMANS, R., DECKMYN, G., DEBUSSCHER, B., DE WULF, R., VAN COILLIE, F., LAANAIA, N., CALVET, J.-C. & CARRER, D., 2019. Modelling and Assessing Surface Change impacts on Belgian and Western European climate. MASC project final report, Belgian Research Action through Interdisciplinary Networks (BRAIN-be), Belgian Science Policy (BELSPO), Brussels, Belgium, 85 pp.
FRONZEK, S., PIRTTIOJA, N., CARTER, T.R., 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, K.C., KOLLAS, C., KRZYSZCZAK, J., LORITE, I.J., MINET, J., MINGUEZ, M.I., MONTESINO, M., MORIONDO, M., MÜLLER, C., NENDEL, C., ÖZTÜRK, I., PEREGO, A., RODRÍGUEZ, A., RUANE, A.C., RUGET, F., SANNA, M., SEMENOV, M.A., SLAWINSKI, C., STRATONOVITCH, P., SUPIT, I., WAHA, K., WANG, E., WU, L., ZHAO, Z. & RÖTTER, R.P., 2018. Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change. Agricultural Systems, 159: 209-224.
GÉRARD, J.-C., NEMRY, B., FRANÇOIS, L. & WARNANT, P., 1999. The interannual change of atmospheric CO2: contribution of subtropical ecosystems ? Geophysical Research Letters, 26: 243-246.
GERARD, L., PIRIOU, J. M., BROZKOVA, R., GELEYN, J. F. & BANCIU, D., 2009. Cloud and Precipitation parameterization in a Meso-Gamma-Scale operational weather prediction model. Monthly Weather Review, 137: 3960-3977.
GERBENS-LEENES, P.W., HOEKSTRA, A.Y. & VAN DER MEER, T., 2009. The water footprint of energy from biomass: A quantitative assessment and consequences of an increasing share of bio-energy in energy supply. Ecological Economics, 68: 1052-1060.
HENROT, A.-J., UTESCHER, T., ERDEI, B., DURY, M., HAMON, N., RAMSTEIN, G., KRAPP, M., HEROLD, N., GOLDNER, A., FAVRE, E., MUNHOVEN, G. & FRANÇOIS, L., 2017. Middle Miocene climate and vegetation models and their validation with proxy data. Palaeogeography, Palaeoclimatology, Palaeoecology, 467: 95-119.
LAURENT, J.-M., FRANÇOIS, L., BAR-HEN, A., BEL, L. & CHEDDADI, R., 2008. European bioclimatic affinity groups: data-model comparisons. Global and Planetary Change, 61: 28-40.
MASSON, V., LE MOIGNE, P., MARTIN, E., FAROUX, S., ALIAS, A., ALKAMA, R., BELAMARI, S., BARBU, A., BOONE, A., BOUYSSEL, F., BROUSSEAU, P., BRUN, E., CALVET, J.-C., CARRER, D., DECHARME, B., DELIRE, C., DONIET, S., ESSAOUINI, K., GIBELIN, A.-L., GIORDANI, H., HABETS, F., JIDANE, M., KERDRAON, G., KOURZENEVA, E., LAFAYSSE, M., LAFONT, S., LEBEAUPIN BROSSIER, C., LEMONSU, A., MAHFOUF, J.-F., MARGUINAUD, P., MOKHTARI, M., MORIN, S., PIGEON, G., SALGADO, R., SEITY, Y., TAILLEFER, F., TANGUY, G., TULET, P., VINCENDON, B., VIONNER, V. & VOLDOIRE, A., 2013. The SURFEXv7.2 land and ocean surface platform for coupled or offline simulation of Earth surface variables and fluxes. Geoscientific Model Development, 6: 929-960.
MINET, J., LALOY, E., TYCHON, B. & FRANÇOIS, L., 2015. Bayesian inversions of a dynamic vegetation model at four European grassland sites. Biogeosciences, 12: 2809-2829.
PIRTTIOJA, N., CARTER, T.R., 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, M.-F., DUMONT, B., EWERT, F., FERRISE, R., FRANÇOIS, L., GAISER, T., HLAVINKA, P., JACQUEMIN, I., KERSEBAUM, K. C., KOLLAS, C., KRZYSZCZAK, J., LORITE, I. J., MINET, J., MINGUEZ, M.I., MONTESINO, M., MORIONDO, M., MÜLLER, C., NENDEL, C., ÖZTÜRK, I., PEREGO, A., RODRÍGUEZ, A., RUANE, A. C., RUGET, F., SANNA, M., SEMENOV, M. A., SLAWINSKI, C., STRATONOVITCH, P., SUPIT, I., WAHA, K., WANG, E., WU, L., ZHAO, Z. & RÖTTER, R.P., 2015. A crop model ensemble analysis of temperature and precipitation effects on wheat yield across a European transect using impact response surfaces. Climate Research, 65: 87-105.
VUICHARD, N., CIAIS, P., VIOVY, N., LI, L., CESCHIA, E., WATTENBACH, M., BERNHOFER, C., EMMEL, C., GRÜNWALD, T., JANS, W., LOUBET, B. & WU, X., 2016. Simulating the net ecosystem CO2 exchange and its components over winter wheat cultivation sites across a large climate gradient in Europe using the ORCHIDEE-STICS generic model. Agriculture, Ecosystems and Environment, 226: 1-17.
WARNANT, P., FRANÇOIS, L., STRIVAY, D. & GERARD, J.C., 1994. CARAIB: a global model of terrestrial biological productivity. Global Biogeochemical Cycles, 8: 255-270.
WU, X., VUICHARD, N., CIAIS, P., VIOVY, N., DE NOBLET-DUCOUDRÉ, N., WANG, X., MAGLIULO, V., WATTENBACH, M., VITALE, L., DI TOMMASI, P., MOORS, E.J., JANS, W., ELBERS, J., CESCHIA, E., TALLEC, T., BERNHOFER, C., GRÜNWALD, T., MOUREAUX, C., MANISE, T., LIGNE, A., CELLIER, P., LOUBET, B., LARMANOU, E. & RIPOCHE, D., 2016. OCHIDEE-CROP (v0), a new process-based agro-land surface model: model description and evaluation over Europe. Geoscientific Model Development, 9: 857-873.
