An individual-based model to describe a bullhead population dynamics including temperature variations

Ecological Modelling

Volumn 215, Issue 4, 2008, Pages 377-392

  Charles, Sandrine ^a   Subtil, Fabien ^a   Kielbassa, Janice ^a   Pont, Didier ^b  

^a UNIVERSITÉ LYON 1   (France)

^b CEMAGREF   (France)

Author keywords

Cottus gobio; Individual based model; Sensitivity analysis; Temperature variations

Indexed keywords

ECOSYSTEMS; GLOBAL WARMING; MATHEMATICAL MODELS; POPULATION DYNAMICS; RIVERS; SENSITIVITY ANALYSIS;

COTTUS GOBIO; INDIVIDUAL-BASED MODEL; JUVENILE; TEMPERATURE VARIATIONS;

FISH;

DEMOGRAPHY; ECOSYSTEM FUNCTION; ECOSYSTEM STRUCTURE; GLOBAL CHANGE; GROWTH; HABITAT FRAGMENTATION; INDIVIDUAL-BASED MODEL; POPULATION DYNAMICS; REPRODUCTION; RIVER WATER; SENSITIVITY ANALYSIS; SURVIVAL; TELEOST; TEMPERATURE;

COTTUS GOBIO;

EID: 45049084332     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2008.04.005     Document Type: Article

References (47)

1. Abdoli, A., 2005. Rôle de la température dans la variabilité des traits d'histoire de vie: le cas du chabot (Cottus gobio L.) à l'échelle d'un réseau hydrographique (Bez, France). Ph.D. Thesis, Université Claude Bernard Lyon 1, Villeurbanne, France.
2. Abdoli A., Pont D., and Sagnes P. Influence of female age, body size and environmental conditions on annual egg production of the bullhead. J. Fish Biol. 67 (2005) 1327-1341
3. Abdoli A., Pont D., and Sagnes P. Intrabasin variations in age and growth of bullhead: the effects of temperature. J. Fish Biol. 70 (2007) 1224-1238
4. Bacher C., and Gangnery A. Use of dynamic energy budget and individual based models to simulate the dynamics of cultivated oyster populations. J. Sea Res. 56 (2006) 140-155
5. Baras E., Jacobs B., and Melard C. Effect of water temperature on survival, growth and phenotypic sex of mixed (XX-XY) progenies of Nile tilapia Oreochromis niloticus. Aquaculture 192 (2001) 187-199
6. Beverton R.J.H., and Holt S.H. On the Dynamics of Exploited Fish Populations (1993), Chapman & Hall, London, UK
7. Chaumot A., Milioni N., Abdoli A., Pont D., and Charles S. First step of a modeling approach to evaluate spatial heterogeneity in a fish (Cottus gobio) population dynamics. Ecol. Model. 197 (2006) 263-273
8. Covich A.P., Fritz S.C., Lamb P.J., Marzolf R.D., Matthews W.J., Poiani K.A., Prepas E.E., Richman M.B., and Winter T.C. Potential effects of climate change on aquatic ecosystems of the Great Plains of North America. Hydrol. Process. 11 (1997) 993-1021
9. Crisp D.T. Environmental requirements of common riverine European salmonid fish species in fresh water with particular reference to physical and chemical aspects. Hydrobiologia 323 (1996) 201-221
10. DeAngelis D.L., Godbout L., and Shuter B.J. An individual-based approach to predicting density-dependent dynamics in smallmouth bass populations. Ecol. Model. 57 (1991) 91-115
11. Doledec S., and Chessel D. Co-inertia analysis: an alternative method for studying species-environment relationships. Freshwater Biol. 31 (1994) 277-294
12. Elliott J.M. Population regulation for different life-stage of migratory trout Salmo trutta in a lake district stream. J. Anim. Ecol. 54 (1985) 617-638
13. Elliott J.M. Periodic habitat loss alters the competitive coexistence between brown trout and bullheads in a small stream over 34 years. J. Anim. Ecol. 75 (2006) 54-63
14. Fontoura N.F., and Agostinho A.A. Growth with seasonally varying temperatures: an expansion of the von Bertalanffy growth model. J. Fish Biol. 48 (1996) 569-584
15. Fischer S., and Kummer H. Effects of residual flow and habitat fragmentation on distribution and movement of bullhead (Cottus gobio L.) in an alpine stream. Hydrobiologia 422-423 (2000) 305-317
16. Fox, P., 1978. The population dynamics of the bullhead (Cottus gobio L., Pisces) with special reference to spawning, mortality of young fish and homeostatic mechanisms. Ph.D. Thesis, University of Reading, Reading, UK.
17. Ginot V., Gaba S., Beaudouin R., Aries F., and Monod H. Combined use of local and ANOVA-based global sensitivity analyses for the investigation of a stochastic dynamic model: application to the case study of an individual-based model of a fish population. Ecol. Model. 193 (2006) 479-491
18. Grimm V. Ten years of individual-based modelling in ecology: what have we learned and what could we learn in the future?. Ecol. Model. 115 (1999) 129-148
19. Grimm V., Berger U., Bastiansen F., Eliassen S., Ginot V., Giske J., Goss-Custard J., Grand T., Heinz S.K., Huse G., Huth A., Jepsen J.U., Jorgensen C., Mooij W.M., Muller B., Pe'er G., Piou C., Railsback S.F., Robbins A.M., Robbins M.M., Rossmanith E., Ruger N., Strand E., Souissi S., Stillman R.A., Vabo R., Visser U., and DeAngelis D.L. A standard protocol for describing individual-based and agent-based models. Ecol. Model. 198 (2006) 115-126
20. Grimm V., and Railsback S.F. Individual-Based Modeling and Ecology (2005), Princeton University Press, Princeton, NJ
21. Grimm V., and Wissel C. The intrinsic mean time to extinction: a unifying approach to analysing persistence and viability of populations. Oikos 105 (2004) 501-511
22. Habitats Directive, Appendix II [online]. Available from http://admi.net/eur/loi/leg_euro/fr_392L0043.html (accessed 12 October 2007).
23. Hofmann N., and Fischer P. Impact of temperature on food intake and growth in juvenile burbot. J. Fish Biol. 63 (2003) 1295-1305
24. Holmen J., Olsen E.M., and Vollestad L.A. Interspecific competition between stream-dwelling brown trout and Alpine bullhead. J. Fish Biol. 62 (2003) 1312-1325
25. Huston M., Deangelis D.L., and Post W. New computer models unify ecological theory. BioScience 38 (1988) 682-691
26. Klepper O. Multivariate aspects of model uncertainty analysis: tools for sensitivity analysis and calibration. Ecol. Model. 101 (1997) 1-13
27. Knaepkens G., Bruyndoncx L., and Eens M. Assessment of residency and movement of the endangered bullhead (Cottus gobio) in two Flemish rivers. Ecol. Freshwater Fish. 13 (2004) 317-322
28. Knaepkens G., Bervoets L., Verheyen E., and Eens M. Relationship between population size and genetic diversity in endangered populations of the European bullhead (Cottus gobio): implications for conservation. Biol. Conserv. 115 (2004) 403-410
29. Kooijman S.A.L.M. Dynamic Energy and Mass Budgets in Biological Systems (2000), Cambridge University Press, Cambridge, Great Britain
30. Mann R.H.K. Environmental requirements of European non-salmonid fish in rivers. Hydrobiologia 323 (1996) 223-235
31. Martinez-Palacios C.A., Barriga Tovar E., Taylor J.F., Rios Duran G., and Ross L.G. Effect of temperature on growth and survival of Chirostoma estor estor, Jordan 1879, monitored using a simple video technique for remote measurement of length and mass of larval and juvenile fishes. Aquaculture 209 (2002) 369-377
32. Mazaris A.D., Broder B., and Matsinos Y.G. An individual based model of a sea turtle population to analyze effects of age dependent mortality. Ecol. Model. 198 (2006) 174-182
33. Mills C.A., and Mann R.H.K. The bullhead Cottus gobio, a versatile and successful fish. Annu. Rep. Freshwater Biol. Assoc. 51 (1983) 76-88
34. Mouton A.M., Schneider M., Depestele J., Goethals P.L.M., and De Pauw N. Fish habitat modelling as a tool for river management. Ecol. Eng. 29 (2007) 305-315
35. Munro J.L., and Pauly D. A simple method for comparing the growth of fishes and invertebrates. Fishbyte 1 (1983) 5-6
36. Parry H.R., Evans A.J., and Morgan D. Aphid population response to agricultural landscape change: a spatially explicit, individual-based model. Ecol. Model. 199 (2006) 451-463
37. Pauly D. Gill size and temperature as governing factors in fish growth: a generalization of von bertalanffy's growth formula. Berichte aus dem Institut für Meereskunde Kiel 63 (1979) 1-156
38. Poff N.L., Brinson M., and Day J.W. Freshwater and coastal ecosystems and global climate change: a review of projected impacts for the United States (2002), Pew Center on Global Climate Change, Arlington, VA 44 pp.
39. Pont D., Hugueny B., and Oberdorff T. Modelling habitat requirement of European fishes: do species have similar responses to local and regional environmental constraints?. Can. J. Fish. Aquat. Sci. 62 (2005) 163-173
40. Pont, D. (Ed.), 2006. Conséquences du changement global sur la distribution et la démographie du Chabot (Cottus gobio). Une approche intégrative. Rapport à l'Institut Français de la Biodiversité et le MEED.-GICC, 107 pp.
41. R Development Core Team. R: A Language and Environment for Statistical Computing (2007), R Foundation for Statistical Computing, Vienna, Austria
42. Rashleigh B., and Grossman G.D. An individual-based simulation model for mottled sculpin (Cottus bairdi) in a southern Appalachian stream. Ecol. Model. 187 (2005) 247-258
43. Ricker W.E. Computation and interpretation of biological statistics of fish populations. Q. Rev. Biol. 51 (1976) 382
44. Shuter B.J., and Post J.R. Climate, population viability, and the zoogeography of temperate fishes. Trans. Am. Fish. Soc. 119 (1990) 314-336
45. Stillman R.A., West A.D., Goss-Custard J.D., Caldow R.W.G., McGrorty S., Durell S.E.A.L.V.D., Yates M.G., Atkinson P.W., Clark N.A., Bell M.C., Dare P.J., and Mander M. An individual behaviour-based model can predict shorebird mortality using routinely collected shellfishery data. J. Appl. Ecol. 40 (2003) 1090-1101
46. Van Nes E.H., and Scheffer M. A strategy to improve the contribution of complex simulation models to ecological theory. Ecol. Model. 185 (2005) 153-164
47. Van Winkle W., Rose K.A., and Chambers R.C. Individual-based approach to fish population dynamics: an overview. Trans. Am. Fish. Soc. 122 (1993) 397-403