Comparative performance of generalized additive models and boosted regression trees for statistical modeling of incidental catch of wahoo (Acanthocybium solandri) in the Mexican tuna purse-seine fishery

Ecological Modelling

Volumn 233, Issue , 2012, Pages 20-25

  Martínez Rincón, Raul O ^a   Ortega García, Sofía ^a   Vaca Rodríguez, Juan G ^b,c  

^a INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

^b Programa Nacional de Aprovechamiento Del Atún y de Protección de Delfines PNAAPD   (Mexico)

^c UNIVERSIDAD AUTÓNOMA DE BAJA CALIFORNIA   (Mexico)

Author keywords

Chlorophyll a; Eastern Pacific Ocean; Floating objects; Sea surface temperature

Indexed keywords

BOOSTED REGRESSION TREES; CALIFORNIA; CHLOROPHYLL A; CHLOROPHYLL-A CONCENTRATION; EASTERN PACIFIC OCEAN; ENVIRONMENTAL FACTORS; FLOATING OBJECTS; GENERALIZED ADDITIVE MODEL; GEOGRAPHIC AREAS; HIGH PROBABILITY; ME-XICO; MODEL PERFORMANCE; RECEIVER OPERATING CHARACTERISTIC CURVES; SEA SURFACE TEMPERATURE (SST); SEA SURFACE TEMPERATURES; STATISTICAL MODELING; SUBTROPICAL OCEAN;

CHLOROPHYLL; FISHERIES; FORESTRY; PROBABILITY;

TREES (MATHEMATICS);

CATCH STATISTICS; CHLOROPHYLL A; COASTAL ZONE; COMPARATIVE STUDY; ENVIRONMENTAL FACTOR; FISHERY MODELING; NUMERICAL MODEL; PERCIFORM; PROBABILITY; PURSE SEINING; REGRESSION ANALYSIS; SEA SURFACE TEMPERATURE; SUBTROPICAL REGION; TROPICAL REGION;

CHLOROPHYLLS; FISHES; FORESTRY; MEXICO; OCEANOGRAPHY; PROBABILITY;

BAJA CALIFORNIA SUR; MEXICO [NORTH AMERICA]; PACIFIC OCEAN; PACIFIC OCEAN (EAST);

ACANTHOCYBIUM SOLANDRI; SCOMBRIDAE;

EID: 84860238410     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2012.03.006     Document Type: Article

References (37)

1. Bailey, K., Williams, P.G., Itano, D., 1996. Bycatch and discards in Western Pacific tuna fisheries: a review of SPC data holdings and literature. South Pac. Comm. Tech. Rep. 34. Noumea, New Caledonia, 171 pp.
2. Bakun A. Patterns in the Ocean. Ocean Processes and Marine Population Dynamics 1996, California Sea Grant College System, La Jolla, 323 pp.
3. Brill R.W., Lutcavage M.E. Understanding environmental influences on movements and depth distributions of tunas and billfishes can significantly improve population assessments. Islands in the Stream: Oceanography and Fisheries of the Charleston Bump 2001, vol. 25:179-198. American Fisheries Society Symposium, Bethesda, MD.
4. Collette B.B. Scombridae. The Living Marine Resources of the Western Central Atlantic. Volume 2: Bony Fishes Part 2 (Opistognathidae to Molidae), Sea Turtles and Marine Mammals. FAO Species Identification Guide for Fishery Purposes and American Society of Ichthyologists and Herpetologists Special Publication No. 5 2002, 1701-1722. K.E. Carpenter (Ed.).
5. Dagorn L., Fréon P. Tropical tuna associated with floating objects: a simulation study of the meeting point hypothesis. Can. J. Fish. Aquat. Sci. 1999, 56(6):984-993.
6. Domokos R., Seki M.P., Polovina J.J., Hawn D.R. Oceanographic investigation of the American Samoa albacore (Thunnus alalunga) habitat and longline fishing grounds. Fish. Oceanogr. 2007, 16(6):555-572.
7. Elith J., Leathwick J.R., Hastie T. A working guide to boosted regression trees. J. Anim. Ecol. 2008, 77(4):802-813.
8. FAO Fishery statistics. Commodities [1991] 1993, vol. 73. Food and Agricultural Organization of the United Nations, Rome.
9. FAO FISHSTAT Plus Universal Software for Fishery Statistical Time Series. Version 2.3 2011, FAO Fisheries Department, Fishery Information, Data and Statistics Unit.
10. Forsbergh E.D. On the climatology, oceanography and fisheries of the Panama bight. IATTC 1969, 14(2):49-385.
11. Freeman E. PresenceAbsence: An R Package for Presence-Absence Model Evaluation 2007, USDA Forest Service, Rocky Mountain Research Station, 507 25th street, Ogden, UT, USA.
12. Friedman J.H. Greedy function approximation: the gradient boosting machine. Ann. Stat. 2001, 29:1189-1232.
13. Friedman J.H., Meulman J.J. Multiple additive regression trees with application in epidemiology. Stat. Med. 2003, 22:1365-1381.
14. Garber A.F., Stuck K.C., Franks J.S., Garber N.M., Geter D.R. Characterization of the mitochondrial DNA control region of the wahoo, Acanthocybium solandri, from the northcentral Gulf of Mexico and Bimini, Bahamas. GCFI 2001, 52:610-621.
15. Hijmans R.J., Phillips S., Leathwick J., Elith J. Dismo: Species Distribution Modeling. R Package Version 0.6-10 2011, http://cran.r-project.org/package=dismo.
16. IATTC Annual Report of the Inter-American Tropical Tuna Commission, 2008 2010, Inter-American Tropical Tuna Commission, La Jolla, CA, 100 pp.
17. Laurans M., Taquet M., Reynal L., Lagin A. Comparaison des captures des grands poissons pelagiques en Martinique avec ou sans DCP. Peche thoniere et dispositifs de concentration de poissons, Colloque Caraibe-Martinique 1999, 421-434. J.-Y. Le Gall, P. Cayre, M. Taquet (Eds.).
18. Leathwick J.R., Elith J., Francis M.P., Hastie T., Taylor P. Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees. Mar. Ecol. Prog. Ser. 2006, 321:267-281.
19. Martínez-Rincón R.O., Ortega-García S., Vaca-Rodríguez J.G. Incidental catch of dolphinfish (Coryphaena spp.) reported by the Mexican tuna purse seiners in the eastern Pacific Ocean. Fish. Res. 2009, 96:296-302.
20. Matsumoto W.M. Morphology and distribution of larval wahoo Acanthocybium solandri (Cuvier) in the central pacific ocean. Fish. Bull. 1967, 66(2):299-322.
21. Maunder M., Harley S.J. Evaluating tuna management in the Eastern Pacific Ocean. Bull. Mar. Sci. 2006, 78(3):593-606.
22. Moisen G.G., Freeman E.A., Blackard J.A., Frescino T.S., Zimmermann N.E., Edwards T.C. Predicting tree species presence and basal area in Utah: a comparison of stochastic gradient boosting, generalized additive models, and tree-based methods. Ecol. Model. 2006, 199(2):176-187.
23. Oxenford H.A., Murray P.A., Luckhurst B.E. The biology of wahoo (Acanthocybium solandri) in the western central Atlantic. Gulf Caribbean Res. 2003, 15:33-49.
24. Pennington J.T., Mahoney K.L., Kuwahara V.S., Kolber D.D., Calienes R., Chavez F.P. Primary production in the eastern tropical Pacific: a review. Prog. Oceanogr. 2006, 69:285-317.
25. R Development Core Team R: A Language and Environment for Statistical Computing 2011, R Foundation for Statistical Computing, Vienna, Austria. http://www.r-project.org/.
26. Reynal L., van Buurt G., Tacquet M. Perspectives de developpement des DCP ancres dans les Petites Antilles. L'exemple de trois lies: Guadeloupe, Martinique et Cura9ao. Peche thoniere et dispositifs de concentration de poissons, Colloque Caraibe-Martinique 1999, 36-54. J.-Y. Le Gall, P. Cayre, M. Taquet (Eds.).
27. Ridgeway G. gbm: Generalized Boosted Regression Models. R Package Version 1.6-3.1 2010, http://cran.r-project.org/package=gbm.
28. Romanov E.V. Bycatch in the tuna purse-seine fisheries of western Indian Ocean. Fish. Bull. 2002, 100(1):90-105.
29. Sartimbul A., Nakata H., Rohadi E., Yusuf B., Kadarisman H.P. Variations in chlorophyll-a concentration and the impact on Sardinella lemuru catches in Bali Strait, Indonesia. Prog. Oceanogr. 2010, 87:168-174.
30. Sepulveda C.A., Aalbers S.A., Ortega-García S., Wegner N.C., Bernal D. Depth distribution and temperature preferences of wahoo (Acanthocybium solandri) off Baja California Sur, Mexico. Mar. Biol. 2011, 158(4):917-926.
31. Solana-Sansores R. Los objetos flotantes del pacífico oriental: formas, distribución espacial y cambios temporales. Cienc. Mar. 2001, 27(3):423-443.
32. Solana-Sansores R. Patrones espaciales de las especies epipelágicas capturadas incidentalmente en la pesca del atún sobre objetos flotantes, en el océano pacífico oriental. Cienc. Mar. 2001, 27(3):445-479.
33. Su N.J., Sun C.L., Punt A.E., Yeh S.Z. Environmental and spatial effects on the distribution of blue marlin (Makaira nigricans) as inferred from data for longline fisheries in the Pacific Ocean. Fish. Oceanogr. 2008, 17(6):432-445.
34. Theisen, T.C., 2008. Population genetic structure, movement patterns, and environmental preferences of the pelagic wahoo, Acanthocybium solandri. Dissertation. Florida Atlantic University.
35. Wood S.N. Generalized Additive Models: an Introduction with R. Chapman and Hall/CRC 2006.
36. Wood S.N. Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. J. R. Stat. Soc. 2011, 73(1):3-36.
37. Zischke M. A review of the biology, stock structure, fisheries and status of wahoo (Acanthocybium solandri), with reference to the Pacific Ocean. Fish. Res. 2012, 119-120:13-22.