M. Davidian and T. Louis, 2012 Why statistics? Science 336

D. Spiegelhalter, The future lies in uncertainty, Science, vol.345, issue.6194, pp.264-265, 2014.
DOI : 10.1126/science.1251122

G. Cooper, The science of the struggle for existence: on the foundations of ecology, 2003.
DOI : 10.1017/CBO9780511720154

H. Peters, 1991 A critique for ecology

L. Breiman, Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author), Statistical Science, vol.16, issue.3, pp.199-231, 2001.
DOI : 10.1214/ss/1009213726

R. King, Statistical Ecology, Annual Review of Statistics and Its Application, vol.1, issue.1, pp.401-426
DOI : 10.1146/annurev-statistics-022513-115633

I. Renner and D. Warton, Equivalence of MAXENT and Poisson Point Process Models for Species Distribution Modeling in Ecology, Biometrics, vol.35, issue.1, pp.274-281
DOI : 10.1111/j.1541-0420.2012.01824.x

D. Mackenzie, J. Nichols, J. Royle, K. Pollock, L. Bailey et al., Occupancy estimation and modeling: inferring patterns and dynamics of species occurrence, 2006.

D. Borchers, B. Stevenson, D. Kidney, L. Thomas, and T. Marques, 2014 A unifying model for capture? recapture and distance sampling surveys of wildlife populations, J. Am. Stat. Assoc

J. Royle, R. Chandler, R. Sollmann, and B. Gardner, 2014 Spatial capture ?recapture

T. Patterson, L. Thomas, C. Wilcow, O. Ovaskainen, and J. Matthiopoulos, State???space models of individual animal movement, Trends in Ecology & Evolution, vol.23, issue.2, pp.87-94, 2008.
DOI : 10.1016/j.tree.2007.10.009

B. Mcclintock, R. King, L. Thomas, J. Matthiopoulos, B. Mcconnell et al., A general discrete-time modeling framework for animal movement using multistate random walks, Ecological Monographs, vol.82, issue.3, pp.335-349
DOI : 10.3354/esr00064

J. Pagel, B. Anderson, O. Hara, R. Cramer, W. Fox et al., Quantifying range-wide variation in population trends from local abundance surveys and widespread opportunistic occurrence records, Methods in Ecology and Evolution, vol.119, issue.8, pp.751-760, 2041.
DOI : 10.1111/2041-210X.12221

J. Clark, 2007 Models for ecological data

R. Little, Calibrated Bayes, for Statistics in General, and Missing Data in Particular, Statistical Science, vol.26, issue.2, pp.162-174, 2011.
DOI : 10.1214/10-STS318REJ

S. Lele, B. Dennis, and F. Lutscher, Data cloning: easy maximum likelihood estimation for complex ecological models using Bayesian Markov chain Monte Carlo methods, Ecology Letters, vol.31, issue.7, pp.551-563, 2007.
DOI : 10.1023/A:1009662704779

F. Hartig and C. Dormann, 2013 Does model-free forecasting really outperform the true model?, Proc. Natl Acad. Sci. USA 110

J. Clark, P. Agarwal, D. Bell, P. Flikkema, A. Gelfand et al., Inferential ecosystem models, from network data to prediction, Ecological Applications, vol.21, issue.5, pp.1523-1536, 2011.
DOI : 10.1029/2006JG000217

K. Newman, S. Buckland, B. Morgan, R. King, D. Borchers et al., 2014 Modelling population dynamics? model formulation, fitting and assessment using state ?space methods

G. Péron and D. Koons, Integrated modeling of communities: parasitism, competition, and demographic synchrony in sympatric ducks, Ecology, vol.93, issue.11, pp.2456-2464
DOI : 10.1046/j.1365-2699.1999.00338.x

S. Wood, Statistical inference for noisy nonlinear ecological dynamic systems, Nature, vol.29, issue.7310, pp.1102-1104, 2010.
DOI : 10.1038/nature09319

K. Csilléry, M. Blum, O. Gaggiotti, and O. François, Approximate Bayesian Computation (ABC) in practice, Trends in Ecology & Evolution, vol.25, issue.7, pp.410-418, 2010.
DOI : 10.1016/j.tree.2010.04.001

J. Hodges, Are exercises like this a good use of anybody's time? Ecology 91, pp.3496-3500, 2010.

O. Gimenez, How can quantitative ecology be attractive to young scientists? Balancing computer/desk work with fieldwork, Animal Conservation, vol.21, issue.2, pp.134-136
DOI : 10.1111/j.1469-1795.2012.00597.x
URL : https://hal.archives-ouvertes.fr/hal-01000104

F. Barraquand, T. Ezard, P. Jørgensen, N. Zimmerman, S. Chamberlain et al., 2014 Lack of quantitative training among early-career ecologists: a survey of the problem and potential solutions