An empirical model of seasonal depth-dependent fish assemblage: Structure to predict the species composition of mixed catches

Canadian Journal of Fisheries and Aquatic Sciences

Volumn 70, Issue 2, 2013, Pages 220-232

  Benoît, Hugues P ^a,b  

^a GULF FISHERIES CENTRE   (Canada)

^b DALHOUSIE UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CATCH COMPOSITION; COMMUNITY COMPOSITION; DATA SET; ECOLOGICAL MODELING; EMPIRICAL ANALYSIS; FISHERY MANAGEMENT; FLATFISH; HABITAT STRUCTURE; NUMERICAL MODEL; SPATIAL DISTRIBUTION; STOCK ASSESSMENT;

EID: 84874786082     PISSN: 0706652X     EISSN: 12057533     Source Type: Journal    
DOI: 10.1139/cjfas-2012-0166     Document Type: Article

References (42)

1. Agresti, A. 2002. Categorical data analysis. 2nd ed. John Wiley and Sons Inc., Hoboken, New Jersey.
2. Austin, M.P. 2002. Spatial prediction of species distribution: an interface between ecological theory and statistical modelling. Ecol. Model. 157: 101-118. doi:10.1016/S0304-3800(02)00205-3.
3. Benoît, H.P., and Allard, J. 2009. Can the data from at-sea observer surveys be used to make general inferences about catch composition and discards? Can. J. Fish. Aquat. Sci. 66(12): 2025-2039. doi:10.1139/F09-116.
4. Benoît, H.P., and Swain, D.P. 2008. Impacts of environmental change and direct and indirect harvesting effects on the dynamics of a marine fish community. Can. J. Fish. Aquat. Sci. 65(10): 2088-2104. doi:10.1139/F08-112.
5. Benoît, H.P., Darbyson, E.D., and Swain, D.P. 2003. An atlas of the geographic distribution of marine fish and invertebrates in the southern Gulf of St. Lawrence based on annual bottom trawl surveys (1971-2002). Can. Data Rep. Fish. Aquat. Sci. 1112.
6. Benoît, H.P., Swain, D.P., and Chouinard, G.A. 2009. Using the long-term bottomtrawl survey of the southern Gulf of St. Lawrence to understand marine fish populations and community change [online]. AZMP Bulletin, 8: 19-27. Available from http://www.meds-sdmm.dfo-mpo.gc.ca/isdm-gdsi/azmp-pmza/docs/bulletin_8_2009.pdf.
7. Benoît, H.P., Swain, D.P., Bowen, W.D., Breed, G.A., Hammill, M.O., and Harvey, V. 2011. Evaluating the potential for grey seal predation to explain elevated natural mortality in three fish species in the southern Gulf of St. Lawrence. Mar. Ecol. Prog. Ser. 442: 149-167. doi:10.3354/meps09454.
8. Bianchi, G. 1992. Demersal assemblages of the continental shelf and upper slope of Angola. Mar. Ecol. Prog. Ser. 81: 101-120. doi:10.3354/meps081101.
9. Burnham, K.P., and Anderson, D.R. 2002. Model selection and multimodel inference: a practical information theoretic approach. 2nd ed. Springer-Verlag, New York.
10. Clay, D. 1991. Seasonal distribution of demersal fish (Osteichthyes) and skates (Chondrichthyes) in the southeastern Gulf of St. Lawrence. In The Gulf of St. Lawrence: small ocean or big estuary? Edited by J.-C. Therriault. Can. Spec. Publ. Fish Aquat. Sci. 113: 241-259.
11. COSEWIC. 2005. COSEWIC assessment and status report on the winter skate Leucoraja ocellata in Canada. Committee on the Status of Endangered Wildlife in Canada. Ottawa, Ontario.
12. Demestre, M., Sâchez, P., and Abelló P. 2000. Demersal fish assemblages and habitat characteristics on the continental shelf and upper slope of the northwestern Mediterranean. J. Mar. Biol. Assoc. U.K. 80: 981-988. doi:10.1017/S0025315400003040.
13. DFO. 2011. Recovery Potential Assessment of the Maritime Designatable Unit of American Plaice (Hippoglossoides platessoides). DFO Can. Sci. Advis. Sec. Sci. Advis. Rep. 2011/043.
14. DFO. 2012. Assessment of winter flounder (Pseudopleuronectes americanus) in the southern Gulf of St. Lawrence (NAFO Div. 4T). DFO Can. Sci. Advis. Sec. Sci. Advis. Rep. 2012/016.
15. Efron, B., and Tibshirani, R. 1993. An introduction to the bootstrap. Chapman and Hall, New York.
16. Ferrier, S., and Guisan, A. 2006. Spatial modelling of biodiversity at the community level. J. Appl. Ecol. 43: 393-404. doi:10.1111/j.1365-2664.2006.01149.x.
17. Francis, M.P., Hurst, R.J., McArdle, B.H., Bagley, N.W., and Anderson, O.F. 2002. New Zealand demersal fish assemblages. Environ. Biol. Fish. 65: 215-234. doi:10.1023/A:1020046713411.
18. Guisan, A., Lehmann, A., Ferrier, S., Austin, M., Overton, J.M.C., Aspinall, R., and Hastie, T. 2006. Making better biogeographical predictions of species' distributions. J. Appl. Ecol. 43: 386-392. doi:10.1111/j.1365-2664.2006.01164.x.
19. Hansen, M.H., Hurwitz, W.N., and Madow, W.G. 1953. Sample survey methods and theory. Vols. I and II. Wiley, New York.
20. Hartzel, J., Agresti, A., and Caffo, B. 2001. Multinomial logit random effects models. Stat. Model. 1: 81-102. doi:10.1191/147108201128104.
21. Hilborn, R. 1985. Apparent stock recruitment relationships in mixed stock fisheries. Can. J. Fish. Aquat. Sci. 42(4): 718-723. doi:10.1139/f85-092.
22. Hurlbut, T, and Clay, D. 1990. Protocols for research vessel cruises within the Gulf Region (demersal fish) (1970-1987). Can. Ms. Rep. Fish. Aquat. Sci. 2082.
23. Hyndes, G.A., Platell, M.E., Potter, I.C., and Lenanton, R.C.J. 1999. Does the composition of the demersal fish assemblages in temperate coastal waters change with depth and undergo consistent seasonal changes? Mar. Biol. 134: 335-352. doi:10.1007/s002270050551.
24. Kalbfleisch, J.G. 1985. Probability and statistical inference. Vol. 2: Statistical inference. 2nd ed. Springer-Verlag Inc., New York.
25. Koutitonsky, V.G., and Bugden, G.L. 1991. The physical oceanography of the Gulf of St. Lawrence: a review with emphasis on the synoptic variability of the motion. In The Gulf of St. Lawrence: small ocean or big estuary? Edited by J.-C. Therriault. Can. Spec. Publ. Fish. Aquat. Sci. 113: 57-90.
26. Macpherson, E., and Duarte, C.M. 1991. Bathymetric trends in demersal fish size: is there a general relationship? Mar. Ecol. Prog. Ser. 71: 103-112. doi:10.3354/meps071103.
27. Martin, C.S., Vaz, S., Ellis, J.R., Lauria, V., Coppin, F., and Carpentier, A. 2012. Modelled distributions of ten demersal elasmobranchs of the eastern English Channel in relation to the environment. J. Exp. Mar. Biol. Ecol. 418-419: 91-103. doi:10.1016/j.jembe.2012.03.010.
28. Michielsens, C.G.J., McAllister, M.K., Kuikka, S., Pakarinen, T., Karlsson, L., Romakkaniemi, A., Perâ I., and Mântyniemi, S. 2006. A Bayesian state-space mark-recapture model to estimate exploitation rates in mixed-stock fisheries. Can. J. Fish. Aquat. Sci. 63(2): 321-334. doi:10.1139/f05-215.
29. Millar, R.B. 1990. Comparison of methods for estimating mixed stock fishery composition. Can. J. Fish. Aquat. Sci. 47(11): 2235-2241. doi:10.1139/f90-248.
30. Morin, R., Leblanc, S.G., Chouinard, G.A., and Swain, D.P. 2008. Status of NAFO division 4T American plaice, February 2008. DFO Can. Sci. Adv. Sec. Res. Doc. 2008/067.
31. Mueter, F.J., and Norcross, B.L. 2002. Spatial and temporal patterns in the demersal fish community on the shelf and upper slope regions of the Gulf of Alaska. Fish. Bull. 100: 559-581.
32. Nelder, J.A. 1977. A reformulation of linear models. J. R. Stat. Soc. Ser. A, 140: 48-77.
33. Ouellet, M., Petrie, B., and Chassè J. 2003. Temporal and spatial scales of seasurface temperature variability in Canadian Atlantic waters. Can. Tech. Rep. Hydrogr. Ocean Sci. 228.
34. Planque, B., Loots, C., Petitgas, P., Lindstrom, U., and Vaz, S. 2011. Understanding what controls the spatial distribution of fish populations using a multi-model approach. Fish. Oceanogr. 20: 1-17. doi:10.1111/j.1365-2419.2010.00546.x.
35. Shelton, A.O., Dick, E.J., Pearson, D.E., Ralston, S., and Mangel, M. 2012. Estimating species composition and quantifying uncertainty in multispecies fisheries: hierarchical Bayesian models for stratified sampling protocols with missing data. Can. J. Fish. Aquat. Sci. 69(2): 231-246. doi:10.1139/f2011-152.
36. Swain, D.P., and Benoît, H.P. 2006. Change in habitat associations and geographic distribution of thorny skate (Amblyraja radiata) in the southern Gulf of St. Lawrence: density-dependent habitat selection or response to environmental change? Fish. Oceanogr. 15: 166-182. doi:10.1111/j.1365-2419.2006.00357.x.
37. Swain, D.P., and Morin, R.B. 2006. Status of witch flounder in NAFO divisions 4RST, February 2006. DFO Can. Sci. Adv. Sec. Res. Doc. 2006/005.
38. Swain, D.P., Hurlbut, T., and Benoît, H.P. 2005. Changes in the abundance and size of skates in the southern Gulf of St. Lawrence, 1971-2002. J. Northw. Atl. Fish. Sci. 36: 19-30. doi:10.2960/J.v36.m552.
39. Swain, D.P., Simon, J.E., Harris, L.E., and Benoît, H.P. 2006. Recovery potential assessment of 4T and 4VW winter skate (Leucoraja ocellata): biology, current status and threats. DFO Can. Sci. Adv. Sec. Res. Doc. 2006/003.
40. Swain, D.P., Jonsen, I.D., Simon, J.E., and Myers, R.A. 2009. Assessing threats to species at risk using stage-structured state-space models: mortality trends in skate populations. Ecol. Appl. 19: 1347-1364. doi:10.1890/08-1699.1.
41. Swain, D.P., Jonsen, I.D., Simon, J.E., and Davies, T.D. 2013. Contrasting decadal trends in mortality between large and small individuals in skate populations in Atlantic Canada. Can. J. Fish. Aquat. Sci. 70(1): 74-89. doi:10.1139/cjfas-2012-0179.
42. Tolimieri, N., and Levin, P.S. 2006. Assemblage structure of eastern Pacific groundfishes on the U.S. continental slope in relation to physical and environmental variables. Trans. Am. Fish. Soc. 135: 317-332.