Representation of multistanza life histories in Ecospace models for spatial organization of ecosystem trophic interaction patterns

Bulletin of Marine Science

Volumn 86, Issue 2, 2010, Pages 439-459

  Walters, Carl ^a   Christensen, Villy ^a   Walters, William ^a   Rose, Kenneth ^b  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b LOUISIANA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGE STRUCTURE; BIOMASS; DEVELOPMENTAL BIOLOGY; FISH; FISHERY MODELING; HABITAT TYPE; LIFE HISTORY; MARINE PARK; MORTALITY; NUMERICAL MODEL; POPULATION DISTRIBUTION; PREDATION RISK; RELATIVE ABUNDANCE; SOFTWARE; TROPHIC INTERACTION; VULNERABILITY;

ATLANTIC OCEAN; CALIFORNIA; GULF OF MEXICO; UNITED STATES;

EID: 77952130383     PISSN: 00074977     EISSN: 15536955     Source Type: Journal    
DOI: None     Document Type: Article

References (35)

1. Ault, J. S., J. Luo, S. G. Smith, J. E. Serafy, J. D. Wang, R. Humston, and G. A. Diaz. 1999. A spatial dynamic multistock production model. Can. J. Fish. Aquat. Sci. 56 (Suppl 1) : 4-25.
2. Aydin, K. Y., G. A. McFarlane, J. R. King, B. A. Megrey, and K. A. Myers. 2005. Linking oceanic food webs to coastal production and growth rates of Pacific salmon using models on three scales. Deep-Sea Res. II 52: 757-780.
3. Baretta, J. W., W. Ebenhöh, and P. Ruardij. 1995. The European Regional Seas Ecosystem Model, a complex marine ecosystem model. Neth. J. Sea Res. 33: 233-246.
4. Christensen, V. and C. Walters. 2004. Ecopath with Ecosim: methods, capabilities and limitations. Ecol. Model. 172: 109-139.
5. Essington, T. E., J. F. Kitchell, and C. J. Walters. 2001. The von Bertalanffy growth function, bioenergetics, and the consumption rates of fish. Can. J. Fish. Aquat. Sci. 28: 2129-2138.
6. Field, J. C., R. C. Francis, and K. Aydin. 2006. Top-down modeling and bottom-up dynamics: linking a fisheries-based ecosystem model with climate hypotheses in the Northern California Current. Prog. Oceanogr. 68: 238-270.
7. Gallaway, B. J. and J. G. Cole. 1999. Reduction of juvenile red snapper bycatch in the U. S. Gulf of Mexico shrimp trawl fishery. N. Am. J. Fish. Manage. 19: 342-355.
8. Gaylord, B., S. D. Gaines, D. A. Siegel, and M. H. Carr. 2005. Marine reserves exploit population structure and life history in potentially improving fisheries. Ecol. Appl. 15: 2180-2191.
9. Gribble, N. A. 2003. GBR-prawn: modelling ecosystem impacts of changes in fisheries management of the commercial prawn (shrimp) trawl fishery in the far northern Great Barrier Reef. Fish. Res. (Amst.) 65: 493-506.
10. Holling, C. S. (ed.). 1978. Adaptive environmental assessment and management. Wiley International Series on Applied Systems Analysis, Vol. 3. Wiley, Chichester. 377 p.
11. Le Quesne, W. J. F., F. Arreguín-Sánchez, M. Albañez-Lucero, H. Cheng, V. H. Cruz Escalona, G. Daskalov, H. Ding, E. González Rodríguez, J. J. Heymans, H. Jiang, et al. 2008. Analysing ecosystem effects of selected marine protected areas with Ecospace spatial ecosystem models. Fisheries Centre Research Reports 16 (2). Fisheries Centre, Univ. British Columbia. 67 p.
12. Martell, S. J. D., T. E. Essington, B. Lessard, J. F. Kitchell, C. J. Walters, and C. H. Boggs. 2005. Interactions of productivity, predation risk, and fishing effort in the efficacy of marine protected areas for the central Pacific. Can. J. Fish. Aquat. Sci. 62: 1320-1336.
13. Megrey, B. A., K. A. Rose, R. A. Klumb, D. E. Hay, D. L. Eslinger, and S. L. Smith. 2007. A bioenergetics-based population dynamics model of Pacific herring (Clupea harengus pallasi) coupled to a lower trophic level nutrient-phytoplankton-zooplankton model: description, calibration, and sensitivity analysis. Ecol. Model. 202: 144-164.
14. Ortiz, M., C. M. Legault, and N. M. Erhardt. 2000. An alternative method for estimating bycatch from the U. S. shrimp trawl fishery in the Gulf of Mexico. Fish. Bull., U. S., 98: 583-599.
15. Pitcher, T. J., E. A. Buchary, and T. Hutton. 2002. Forecasting the benefts of no-take humanmade reefs using spatial ecosystem simulation. ICES Mar. Sci. Symp. 59: S17-S26.
16. Platt, T. and S. Sathyendranath. 1988. Oceanic primary production: estimation by remote sensing at local and regional scales. Science 241: 1613-1620.
17. Rose, K. A., S. W. Christensen, and D. L. DeAngelis. 1993. Individual-based modeling of populations with high mortality: a new method based on following a fxed number of model individuals. Ecol. Model. 68: 273-292.
18. Scheffer, M., J. M. Baveco, D. L. DeAngelis, K. A. Rose, and E. H. Van Nes. 1995. Super-individuals: a simple solution for modeling large populations on an individual basis. Ecol. Model. 80: 161-170.
19. SEDAR 7. 2005. Assessment summary report, Gulf of Mexico red snapper. Available from: http://www.sefsc.noaa.gov/sedar/
20. Sparre, P. 1991. An introduction to multispecies virtual analysis. ICES Mar. Sci. Symp. 193: 12-21.
21. Starr, R. M., J. M. Cope, and L. A. Kerr. 2002. Trends in fisheries and fishery resources associated with the Monterey Bay National Marine Sanctuary from 1981-2000. California Sea Grant Program, Univ. California. San Diego, La Jolla, California, Pub. T-046. 158 p.
22. Stephens, J., D. Wendt, D. Wilson-Vandenburg, J. Carroll, R. Nakamura, E. Nakada, S. Reinecke, and J. Wilson. 2006. Rockfish resources of the south central California coast: analysis of the resource from partyboat data 1980-2005. CalCOFI Rep. 47: 140-155.
23. Tyler, J. A. and K. A. Rose. 1994. Individual variability and spatial heterogeneity in fish population models. Rev. Fish Biol. Fish. 4: 91-123.
24. Van Winkle, W., K. A. Rose, and R. C. Chambers. 1993. Individual-based approach to fish population dynamics: an overview. Trans. Am. Fish. Soc. 122: 397-403.
25. Walters, C. 1986. Adaptive management of renewable resources. Blackburn Press, Caldwell. 374 p.
26. -. 2000. Impacts of dispersal, ecological interactions, and fishing effort dynamics on efficacy of marine protected areas: how large should protected areas be? Bull. Mar. Sci. 66: 745-757.
27. and V. Christensen. 2007. Adding realism to foraging arena predictions of trophic flow rates in Ecosim ecosystems models: shared foraging arenas and bout feeding. Ecol. Model. 209: 352-350.
28. and J. Korman. 1999. Revisiting the Beverton-Holt recruitment model from a life history and multispecies perspective. Rev. Fish Biol. Fish. 9: 187-202.
29. and S. J. D. Martell. 2004. Fisheries ecology and management. Princeton Univ. Press, Princeton. 399 p.
30. -. V. Christensen, and D. Pauly. 1997. Structuring dynamic models of exploited ecosystems from trophic mass-balance assessments. Rev. Fish Biol. Fish. 7: 1-34.
31. -. and -. 1999. ECOSPACE: prediction of mesoscale spatial patterns in trophic relationships of exploited ecosystems. Ecosystems 2: 539-544.
32. -. S. J. D. Martell, and J. Korman. 2006. A stochastic approach to stock reduction analysis. Can. J. Fish. Aquat. Sci. 63: 212-223.
33. -. S. J. D. Martell, V. Christensen, and B. Mahmoudi. 2008. An Ecosim model for exploring ecosystem management options for the Gulf of Mexico: implications of including multistanza life history models for policy predictions. Bull. Mar. Sci. 83: 251-271.
34. Werner, F. E., J. A. Quinlan, R. G. Lough, and D. R. Lynch. 2001. Spatially-explicit individual based modeling of marine populations: a review of advances in the 1990s. Sarsia 86: 405-410.
35. -. S.-I. Ito, B. M. Megrey, and M. J. Kishi. 2007. Synthesis of the NEMURO model studies and future directions of marine ecosystem modeling. Ecol. Model. 202: 211-223.