V. Forbes, P. Calow, V. Grimm, T. Hayashi, T. Jager et al., Adding Value to Ecological Risk Assessment with Population Modeling, Human and Ecological Risk Assessment: An International Journal, vol.29, issue.2, pp.287-99, 2011.
DOI : 10.1139/f92-242

URL : http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1003&context=biosciforbes

R. Beaudouin, V. Dias, J. Bonzom, and A. Pery, Individual-based model of Chironomus riparius population dynamics over several generations to explore adaptation following exposure to uranium-spiked sediments, Ecotoxicology, vol.23, issue.4, pp.1225-1264, 2012.
DOI : 10.1093/ee/23.6.1480

URL : https://hal.archives-ouvertes.fr/ineris-00970618

G. De-kermoysan, J. S. Baudoin, P. Lonjaret, M. Tebby, C. Lesaulnier et al., Effects of bisphenol A on different trophic levels in a lotic experimental ecosystem, Aquatic Toxicology, vol.144, issue.145, pp.144-145, 2012.
DOI : 10.1016/j.aquatox.2013.09.034

URL : https://hal.archives-ouvertes.fr/ineris-00963498

K. Kidd, P. Blanchfield, K. Mills, V. Palace, R. Evans et al., Collapse of a fish population after exposure to a synthetic estrogen, Proceedings of the National Academy of Sciences, vol.20, issue.10, pp.8897-901, 2007.
DOI : 10.1897/1551-5028(2001)020<2370:ADOLSA>2.0.CO;2

Y. Iwasaki, T. Kagaya, K. Miyamoto, H. Matsuda, and M. Sakakibara, Effect of zinc on diversity of riverine benthic macroinvertebrates: estimation of safe concentrations from field data. Environmental toxicology and chemistry / SETAC, pp.2237-2280, 2011.

V. Forbes, P. Calow, and R. Sibly, THE EXTRAPOLATION PROBLEM AND HOW POPULATION MODELING CAN HELP, Environmental Toxicology and Chemistry, vol.27, issue.10, pp.1987-94, 2008.
DOI : 10.1897/08-029.1

URL : http://onlinelibrary.wiley.com/doi/10.1897/08-029.1/pdf

A. Menuet, E. Pellegrini, I. Anglade, O. Blaise, V. Laudet et al., Molecular Characterization of Three Estrogen Receptor Forms in Zebrafish: Binding Characteristics, Transactivation Properties, and Tissue Distributions1, Biology of Reproduction, vol.98, issue.6, pp.1881-92, 2002.
DOI : 10.1073/pnas.041617498

F. Brion, L. Page, Y. Piccini, B. Cardoso, O. Tong et al., Screening Estrogenic Activities of Chemicals or Mixtures In Vivo Using Transgenic (cyp19a1b-GFP) Zebrafish Embryos, PLoS ONE, vol.21, issue.5, p.000305335000023, 2012.
DOI : 10.1371/journal.pone.0036069.t002

URL : https://hal.archives-ouvertes.fr/hal-00877371

M. Vosges, L. Page, Y. Chung, B. Combarnous, Y. Porcher et al., 17??-Ethinylestradiol disrupts the ontogeny of the forebrain GnRH system and the expression of brain aromatase during early development of zebrafish, Aquatic Toxicology, vol.99, issue.4, pp.479-91000282621000006, 2010.
DOI : 10.1016/j.aquatox.2010.06.009

URL : https://hal.archives-ouvertes.fr/hal-00592402

A. Cosnefroy, F. Brion, E. Maillot-marechal, J. Porcher, F. Pakdel et al., Selective Activation of Zebrafish Estrogen Receptor Subtypes by Chemicals by Using Stable Reporter Gene Assay Developed in a Zebrafish Liver Cell Line, Toxicological Sciences, vol.81, issue.2, pp.439-49000299346000012, 2012.
DOI : 10.1093/toxsci/kfh180

URL : https://hal.archives-ouvertes.fr/hal-00750158

J. Devillers, H. Devillers, A. Decourtye, J. Fourrier, P. Aupinel et al., Agent-Based Modeling of the Long-Term Effects of Pyriproxyfen on Honey Bee Population, Silico Bees. Boca Raton, pp.179-208, 2014.
DOI : 10.1201/b16453-10

URL : https://hal.archives-ouvertes.fr/hal-01276161

R. Beaudouin, V. Ginot, and G. Monod, Improving mesocosm data analysis through individual-based modelling of control population dynamics: a case study with mosquitofish (Gambusia holbrooki), Ecotoxicology, vol.7, issue.351, pp.155-64, 2012.
DOI : 10.1080/08927014.1995.9522966

URL : https://hal.archives-ouvertes.fr/ineris-00963354

F. Gabsi, M. Hammers-wirtz, V. Grimm, A. Schäffer, and T. Preuss, Coupling different mechanistic effect models for capturing individual- and population-level effects of chemicals: Lessons from a case where standard risk assessment failed, Ecological Modelling, vol.280, pp.18-29, 2014.
DOI : 10.1016/j.ecolmodel.2013.06.018

R. Ashauer, A. Agatz, C. Albert, V. Ducrot, N. Galic et al., Toxicokinetic-toxicodynamic modeling of quantal and graded sublethal endpoints: A brief discussion of concepts, Environmental Toxicology and Chemistry, vol.109, issue.11, pp.2519-2543, 2011.
DOI : 10.1093/toxsci/kfp069

URL : https://hal.archives-ouvertes.fr/hal-01453851

C. Hazlerigg, C. Tyler, K. Lorenzen, J. Wheeler, and P. Thorbek, Population relevance of toxicant mediated changes in sex ratio in fish: An assessment using an individual-based zebrafish (Danio rerio) model, Ecological Modelling, vol.280, pp.76-88, 2014.
DOI : 10.1016/j.ecolmodel.2013.12.016

J. Godin, Behavioural Ecology of Teleost Fishes, 1997.

R. Wootton, Ecology of Teleost Fishes, 1998.
DOI : 10.1007/978-94-009-0829-1

V. Grimm and S. Railsback, Individual-based Modeling and Ecology, 2005.
DOI : 10.1515/9781400850624

S. Kooijman, Dynamic Energy Budget Theory for Metabolic Organisation, 2010.
DOI : 10.1017/CBO9780511805400

B. Martin, T. Jager, R. Nisbet, T. Preuss, M. Hammers-wirtz et al., Extrapolating ecotoxicological effects from individuals to populations: a generic approach based on Dynamic Energy Budget theory and individual-based modeling, Ecotoxicology, vol.100, issue.2, pp.574-83, 2013.
DOI : 10.1034/j.1600-0706.2003.12027.x

S. Augustine, B. Gagnaire, M. Floriani, C. Adam-guillermin, and S. Kooijman, Developmental energetics of zebrafish, Danio rerio Comparative Biochemistry and Physiology?A Molecular and Integrative Physiology, pp.275-83, 2011.

R. Spence, M. Fatema, S. Ellis, Z. Ahmed, and C. Smith, Diet, growth and recruitment of wild zebrafish in Bangladesh, Journal of Fish Biology, vol.35, issue.1, pp.304-9000247441800025, 2007.
DOI : 10.1007/s10519-005-9029-4

E. Billoir, M. Delignette-muller, A. Péry, O. Geffard, and S. Charles, Statistical cautions when estimating DEBtox parameters, Journal of Theoretical Biology, vol.254, issue.1, pp.55-64, 2008.
DOI : 10.1016/j.jtbi.2008.05.006

URL : https://hal.archives-ouvertes.fr/hal-00428231

S. Kooijman and J. Bedaux, Analysis of toxicity tests on Daphnia survival and reproduction, Water Research, vol.30, issue.7, pp.1711-1734, 1996.
DOI : 10.1016/0043-1354(96)00054-1

R. Eaton and R. Farley, Growth and the Reduction of Depensation of Zebrafish, Brachydanio rerio, Reared in the Laboratory, Copeia, vol.1974, issue.1, pp.204-213, 1974.
DOI : 10.2307/1443024

B. Bagatto, B. Pelster, and W. Burggren, Growth and metabolism of larval zebrafish: effects of swim training, Journal of Experimental Biology, vol.204, pp.4335-4378, 2001.

T. Schilling, The morphology of larval and adult zebrafish, Zebrafish: A Practical Guide, pp.59-83, 2002.

J. Best, I. Adatto, J. Cockington, A. James, and C. Lawrence, ), Zebrafish, vol.7, issue.3, pp.289-95, 2010.
DOI : 10.1089/zeb.2010.0667

C. Kimmel, W. Ballard, S. Kimmel, B. Ullmann, and T. Schilling, Stages of embryonic development of the zebrafish, Developmental Dynamics, vol.102, issue.3, pp.255-310, 1995.
DOI : 10.1016/0168-9525(93)90039-K

B. Goussen, R. Beaudouin, M. Dutilleul, A. Buisset-goussen, J. Bonzom et al., Energy-based modelling to assess effects of chemicals on Caenorhabditis elegans: A case study on uranium, Chemosphere, vol.120, pp.507-521, 2014.
DOI : 10.1016/j.chemosphere.2014.09.006

URL : https://hal.archives-ouvertes.fr/hal-01083767

E. Zimmer, T. Jager, V. Ducrot, L. Lagadic, and S. Kooijman, Juvenile food limitation in standardized tests: a warning to ecotoxicologists, Ecotoxicology, vol.20, issue.2, pp.2195-204, 2012.
DOI : 10.1007/s10646-010-0591-z

URL : https://hal.archives-ouvertes.fr/hal-01210145

V. Grimm, U. Berger, D. Deangelis, J. Polhill, J. Giske et al., The ODD protocol: A review and first update, Ecological Modelling, vol.221, issue.23, pp.2760-2768, 2010.
DOI : 10.1016/j.ecolmodel.2010.08.019

R. Engeszer, L. Patterson, A. Rao, and D. Parichy, Zebrafish in The Wild: A Review of Natural History And New Notes from The Field, Zebrafish, vol.4, issue.1, p.000207986600003, 2007.
DOI : 10.1089/zeb.2006.9997

R. Spence and C. Smith, Mating preference of female zebrafish, Danio rerio, in relation to male dominance, Behavioral Ecology, vol.17, issue.5, pp.779-83, 2006.
DOI : 10.1046/j.1439-0310.2003.00945.x

A. Saltelli, P. Annoni, I. Azzini, F. Campolongo, M. Ratto et al., Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index2010, pp.259-70

M. Morris, Factorial Sampling Plans for Preliminary Computational Experiments, Technometrics, vol.1, issue.2, pp.161-74, 1991.
DOI : 10.2307/1266468

URL : http://www.srl.gatech.edu/education/ME6105/ReadingMaterial/SA_Morris.pdf

F. Bois and D. Maszle, MCSim: a simulation program, Journal of Statistical Software, vol.2, issue.9, 1997.
DOI : 10.18637/jss.v002.i09

URL : https://doi.org/10.18637/jss.v002.i09

F. Stonedahl and U. Wilensky, Finding Forms of Flocking: Evolutionary Search in ABM Parameter-Spaces, Proceedings of the MABS workshop at the Ninth International Conference on Autonomous Agents and Multi-Agent Systems, 2010.
DOI : 10.1109/WSC.2002.1172875

G. Box and D. Cox, An analysis of transformations, Journal of the Royal Statistical Society: Series B, vol.26, issue.2, pp.211-52, 1964.

R. Core-team and R. , R: A Language and Environment for Statistical Computing, 2013.

A. Gelman and D. Rubin, Inference from Iterative Simulation Using Multiple Sequences, Statistical Science, vol.7, issue.4, pp.457-72, 1992.
DOI : 10.1214/ss/1177011136

S. Brooks and A. Gelman, General Methods for Monitoring Convergence of Iterative Simulations, Journal of Computational and Graphical Statistics, vol.7, issue.4, pp.434-55, 1998.

T. Jager, O. Álvarez, J. Kammenga, and S. Kooijman, Modelling nematode life cycles using dynamic energy budgets, Functional Ecology, vol.179, issue.1, pp.136-180, 2005.
DOI : 10.1007/BF00541117

R. Beaudouin, V. Ginot, and G. Monod, in a northern habitat (Brittany, France), Journal of Fish Biology, vol.7, issue.10, pp.2468-84, 2008.
DOI : 10.1080/08927014.1995.9522966

R. Wootton, Energy allocation in the threespine sticklaback The evolutionary biology of the threespine stickleback, p.571, 1994.

S. Kooijman, Metabolic acceleration in animal ontogeny: An evolutionary perspective, Journal of Sea Research, vol.94, pp.128-165, 2014.
DOI : 10.1016/j.seares.2014.06.005

V. Freitas, J. Cardoso, K. Lika, M. Peck, J. Campos et al., Temperature tolerance and energetics: a dynamic energy budget-based comparison of North Atlantic marine species, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.29, issue.7, pp.3553-65, 1557.
DOI : 10.1093/icesjms/37.3.221

X. Bodiguel, O. Maury, C. Mellon-duval, F. Roupsard, L. Guellec et al., A dynamic and mechanistic model of PCB bioaccumulation in the European hake (Merluccius merluccius), Journal of Sea Research, vol.62, issue.2-3, pp.2-3124, 2009.
DOI : 10.1016/j.seares.2009.02.006

R. Spence, G. Gerlach, C. Lawrence, and C. Smith, The behaviour and ecology of the zebrafish, Danio rerio, Biological Reviews, vol.229, issue.1, pp.13-34
DOI : 10.1007/978-94-011-1578-0_12

N. Bala and M. Hasan, Seasonal fluctuations in water levels and water quality in Oxbow Lakes in relation in fish yields and social conflict: ICLARM, Conf. Proc, 1999.

A. Affan, A. Jewel, M. Haque, S. Khan, and J. Lee, Seasonal Cycle of Phytoplankton in Aquaculture Ponds in Bangladesh, ALGAE, vol.20, issue.1, pp.43-52, 2005.
DOI : 10.4490/ALGAE.2005.20.1.043

P. Rice and B. Horgan, Evaluation of nitrogen and phosphorus transport with runoff from fairway turf managed with hollow tine core cultivation and verticutting, Science of The Total Environment, vol.456, issue.457, pp.456-45761, 2013.
DOI : 10.1016/j.scitotenv.2013.02.051

R. Drew, K. Rodnick, M. Settles, J. Wacyk, E. Churchill et al., ), Physiological Genomics, vol.35, issue.3, pp.283-95, 2008.
DOI : 10.1016/j.cell.2005.11.040

L. Li and A. Yakupitiyage, A model for food nutrient dynamics of semi-intensive pond fish culture, Aquacultural Engineering, vol.27, issue.1, pp.9-38, 2003.
DOI : 10.1016/S0144-8609(02)00037-7

K. Hisaoka and C. Firlit, Ovarian Cycle and Egg Production in the Zebrafish, Brachydanio rerio, Copeia, vol.1962, issue.4, pp.302-307, 1962.
DOI : 10.2307/1440680

R. Spence and C. Smith, Male territoriality mediates density and sex ratio effects on oviposition in the zebrafish, Danio rerio, Animal Behaviour, vol.69, issue.6, pp.1317-1340, 2005.
DOI : 10.1016/j.anbehav.2004.10.010

M. Markovich, N. Rizzuto, and P. Brown, Diet Affects Spawning in Zebrafish, Zebrafish, vol.4, issue.1, pp.67-74, 2007.
DOI : 10.1089/zeb.2006.9993

A. Balasubramani and T. Pandian, Endosulfan suppresses growth and reproduction in zebrafish, Current Science, vol.94, issue.7, p.10, 2008.

S. Uusi-heikkila, C. Wolter, T. Meinelt, and R. Arlinghaus, Size-dependent reproductive success of wild zebrafish Danio rerio in the laboratory, Journal of Fish Biology, vol.191, pp.552-69, 2010.
DOI : 10.1111/j.1469-185X.2007.00030.x

W. Liew, R. Bartfai, Z. Lim, R. Sreenivasan, K. Siegfried et al., Polygenic Sex Determination System in Zebrafish, PLoS ONE, vol.148, issue.4, p.22506019, 2012.
DOI : 10.1371/journal.pone.0034397.s006

URL : https://doi.org/10.1371/journal.pone.0034397

D. Sfakianakis, I. Leris, C. Mylonas, and M. Kentouri, Temperature during early life determines sex in zebrafish , Danio rerio (Hamilton, 1822), Journal of Biological Research-Thessaloniki, vol.17, pp.68-73, 2012.

G. Gerhard, E. Kauffman, X. Wang, R. Stewart, J. Moore et al., Life spans and senescent phenotypes in two strains of Zebrafish (Danio rerio), Experimental Gerontology, vol.37, issue.8-9, pp.1055-68, 2002.
DOI : 10.1016/S0531-5565(02)00088-8