F. Archaux, L. Berges, and C. R. , Are plant censuses carried out on small quadrats more reliable than on larger ones? Plant Ecol, pp.179-190, 2007.

F. Archaux, F. Gosselin, L. Berges, and C. R. , Effects of sampling time, species richness and observer on the exhaustiveness of plant censuses, Journal of Vegetation Science, vol.165, issue.3, pp.299-306, 2006.
DOI : 10.1111/j.1654-1103.2006.tb02449.x

M. Becker, Une ??tude phyto-??cologique sur les plateaux calcaires du Nord-Est (Massif de Haye-54)., Annales des Sciences Foresti??res, vol.36, issue.2, pp.93-124, 1979.
DOI : 10.1051/forest/19790201

M. Becker, Indices de climat lumineux selon la pente et l'exposition pour les latitudes de 40 à 50 ?, Bull. Ecol, vol.15, pp.239-252, 1984.

B. Wu, X. Smeins, and F. E. , Multiple-scale habitat modeling approach for rare plant conservation, Landscape and Urban Planning, vol.51, issue.1, pp.11-28, 2000.
DOI : 10.1016/S0169-2046(00)00095-5

L. Berges, J. C. Gégout, and A. Franc, Liebl.) stands in northern France, Annals of Forest Science, vol.63, issue.1, pp.31-42, 2006.
DOI : 10.1051/forest:2005091
URL : https://hal.archives-ouvertes.fr/hal-01000466

J. Braun-blanquet, Plant sociology. The study of plant communities, 1932.

G. J. Cary, R. E. Keane, R. H. Gardner, S. Lavorel, M. D. Flannigan et al., Comparison of the Sensitivity of Landscape-fire-succession Models to Variation in Terrain, Fuel Pattern, Climate and Weather, Landscape Ecology, vol.69, issue.Suppl.1, pp.121-137, 2006.
DOI : 10.1007/s10980-005-7302-9
URL : https://hal.archives-ouvertes.fr/halsde-00276313

J. M. Chase and M. A. Leibold, Ecological niches, 2003.
DOI : 10.7208/chicago/9780226101811.001.0001

J. S. Clark, M. Silman, R. Kern, E. Macklin, and H. J. , SEED DISPERSAL NEAR AND FAR: PATTERNS ACROSS TEMPERATE AND TROPICAL FORESTS, Ecology, vol.80, issue.5, pp.1475-1494, 1999.
DOI : 10.1016/0304-3800(82)90036-9

R. D. Cramer, J. D. Bunce, D. E. Paterson, and F. I. , Crossvalidation, Bootstrapping, and Partial Least Squares Compared with Multiple Regression in Conventional QSAR Studies, Quantitative Structure-Activity Relationships, vol.2, issue.1, pp.18-25, 1988.
DOI : 10.1002/qsar.19880070105

P. Daget, Le bioclimat mediterraneen: Caracteres generaux, modes de caracterisation, Vegetatio, vol.24, issue.1, pp.1-20, 1977.
DOI : 10.1007/BF00119883

B. Escofier and J. Pages, Multiple factor analysis (AFMULT package), Computational Statistics & Data Analysis, vol.18, issue.1, pp.121-140, 1994.
DOI : 10.1016/0167-9473(94)90135-X

J. Franklin, Predicting the distribution of shrub species in southern California from climate and terrain-derived variables, Journal of Vegetation Science, vol.12, issue.5, pp.733-748, 1998.
DOI : 10.2307/3237291

J. Franklin, Enhancing a regional vegetation map with predictive models of dominant plant species in chaparral, Applied Vegetation Science, vol.61, issue.1, pp.135-146, 2002.
DOI : 10.1111/j.1654-109X.2002.tb00543.x

J. Gégout, C. Coudun, G. Bailly, and J. B. , EcoPlant: A forest site database linking floristic data with soil and climate variables, Journal of Vegetation Science, vol.25, issue.5, pp.257-260, 2005.
DOI : 10.1111/j.1654-1103.2005.tb02363.x

J. C. Gégout, J. C. Hervé, F. Houllier, and P. J. , Prediction of forest soil nutrient status using vegetation, Journal of Vegetation Science, vol.2, issue.1, pp.55-62, 2003.
DOI : 10.1111/j.1654-1103.2003.tb02127.x

J. Guiot, Methods and programs of statistics for paleoclimatology and paleoecology, 1991.

A. Guisan, T. C. Edwards, and T. Hastie, Generalized linear and generalized additive models in studies of species distributions: setting the scene, Ecological Modelling, vol.157, issue.2-3, pp.89-100, 2002.
DOI : 10.1016/S0304-3800(02)00204-1

J. Hesselbjerg-christiansen and B. Hewitson, Regional Climate Projection Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, 2007.

A. S. Jump and J. Penuelas, Running to stand still: adaptation and the response of plants to rapid climate change, Ecology Letters, vol.6, issue.9, pp.1010-1020, 2005.
DOI : 10.1016/0169-5347(96)10045-8

P. Lagacherie, J. P. Legros, and P. A. Burrough, A soil survey procedure using the knowledge of soil pattern established on a previously mapped reference area, Geoderma, vol.65, issue.3-4, pp.283-301, 1995.
DOI : 10.1016/0016-7061(94)00040-H

L. Houérou and H. N. , The isoclimatic mediterranean biomes: bioclimatology , diversity and phytogeography, 2005.

M. A. Leibold, M. Holyoak, N. Mouquet, P. Amarasekare, J. M. Chase et al., The metacommunity concept: a framework for multi-scale community ecology, Ecology Letters, vol.82, issue.7, pp.601-613, 2004.
DOI : 10.1111/j.1461-0248.2004.00608.x

J. F. Mao, B. Wang, Y. J. Dai, F. I. Woodward, P. J. Hanson et al., Improvements of a dynamic global vegetation model and simulations of carbon and water at an upland-oak forest, Advances in Atmospheric Sciences, vol.2, issue.2, pp.311-322, 2007.
DOI : 10.1007/s00376-007-0311-7

R. K. Meetenmeyer, A. Moody, and F. J. , Landscape-scale patterns of shrub-species abundance in California chaparral -The role of topographically mediated resource gradients, Plant Ecology, vol.156, issue.1, pp.19-41, 2001.
DOI : 10.1023/A:1011944805738

. R_development_core_team, R: A language and environment for statistical computing. R Foundation for Statistical Computing, R Foundation for Statistical Computing, 2004.

J. Rameau, D. Mansion, G. Dumé, J. Timbal, A. Lecointe et al., Flore forestière française, Guide écologique illustré, vol.1, 1989.

C. Rathgeber, A. Nicault, J. O. Kaplan, and G. J. , Using a biogeochemistry model in simulating forests productivity responses to climatic change and [CO2] increase: example of Pinus halepensis in Provence (south-east France), Ecological Modelling, vol.166, issue.3, pp.239-255, 2003.
DOI : 10.1016/S0304-3800(03)00161-3
URL : https://hal.archives-ouvertes.fr/hal-01457710

P. Scull, J. Franklin, O. A. Chadwick, and D. Mcarthur, Predictive soil mapping: a review, Progress in Physical Geography, vol.27, issue.2, pp.171-197, 2003.
DOI : 10.1191/0309133303pp366ra

M. Tenenhaus, La régression PLS, Théorie et pratiques. Editions Technip, 1998.

C. J. Ter-braak and S. Juggins, Weighted averaging partial least square regression (WA-PLS): an improved method for reconstructing environnemental variables from species assemblages, Hydrobiologia, vol.269270, pp.485-502, 1993.

J. Thioulouse, D. Chessel, S. Doledec, and O. J. , ADE-4: a multivariate analysis and graphical display software, Statistics and Computing, vol.7, issue.1, pp.75-83, 1997.
DOI : 10.1023/A:1018513530268
URL : https://hal.archives-ouvertes.fr/hal-00434994

M. Vennetier, Un nouveau modèle bioclimatique pour la forêt méditerranéenne Application à l'étude de l'impact du changement climatique sur la végétation et à l'évaluation de la productivité forestière, Thèse de doctorat, UR Écosystèmes méditerranéens et risques, 2007.

I. N. Vogiatzakis and G. H. Griffiths, A GIS-based empirical model for vegetation prediction in Lefka Ori, Crete, Plant Ecology, vol.10, issue.2, pp.311-323, 2006.
DOI : 10.1007/s11258-005-9075-2

N. E. Zimmermann and F. Kienast, Predictive mapping of alpine grasslands in Switzerland: Species versus community approach, Journal of Vegetation Science, vol.2, issue.4, pp.469-482, 1999.
DOI : 10.2307/3237182