Relationship between anchovy and other components of the ecosystem
Keywords:
Ecotrophic model, Anchovy, Humboldt Current Ecosystem, PerúAbstract
It is hypothesized that the fishing mortality has ecosystem effects, not only on the anchovy but also on other ecosystem components, such as top predators. The objective is to carry out simulations with a multispecific ecotrophic model for the decade of the years 2000, changing fishery mortality and analyzing biomass variations in seabirds and pinnipeds. The Peruvian Oscillation Index was used to include a mediation affecting the vulnerability of anchovy preys. The fit of observed data was compared using two types of anchovy diet (phytoplanktophagous and zooplanktophagous). Biomass projections were carried out varying fishing mortality from 0,0 to 1,4 y-1. Simulations with the zooplanktophagous diet, which increased the trophic level of the anchovy from 2,35 to 3,36, produced a lower fit between observed and simulated data. The inverse relationship between fishing mortality and anchovy spawning biomass showed that fishing mortalities between 0,8 and 1,4 y-1 were associated to a minimum spawning biomass of anchovy, taking into account its multispecific relationships. An inverse relationship was also found between the fishing mortality and populations of seabirds and pinnipeds.
Downloads
Metrics
References
Arntz WE, Valdivia J. 1985. Visión integral del problema “El Niño”: introducción. En: “El Niño” su impacto en la fauna marina. pp. 5-10. Bol. Inst. Mar Perú. Vol. Ext. 222 pp.
Bouchon M, Cahuin S, Diaz E, Ñiquen M. 2000. Captura y esfuerzo pesquero de la pesquería de anchoveta peruana (Engraulis ringens). Bol Inst. Mar Perú. 19:109-115.
Bertrand S, Goya E, Silva J. 2010. Pescadores y aves marinas compitiendo por el mismo recurso: estrategias de forrajeo, interacciones y consecuencias. Bol. Inst. Mar Perú 25 (1-2):39-44.
Caddy JE, Sharp GD. 1988. Un marco ecológico para la investigación pesquera. FAO Doc. Tco. Pesca. (283):155 pp.
Chávez F, Bertrand A, Guevara-Carrasco R, Soler P, Csirke J. 2008. The northern Humboldt Current System: Brief history, present status and a view towards the future. Progress in Oceanography 79:95–105.
Christensen V, Walters CJ, Pauly D. 2005. Ecopath with Ecosim: a user’s guide. Fisheries Centre Research Reports 12, 154 pp.
Csirke J, Mendo J, Zuzunaga J, Cardenas G, Muck P, Chavez F. 1989. Informe del taller de trabajo sobre modelos para la predicción del rendimiento en el sistema de afloramiento Peruano. p. 1-13. In: Pauly D, Muck P, Mendo J, Tsukayama I. (Eds.), The Peruvian upwelling ecosystem: dynamics and interactions. ICLARM Conference Proceedings 18. 438 pp.
Díaz E, García C, Espinoza D, Guevara-Carrasco R, Csirke J, Ñiquen M, Vargas N, Argüelles J. 2010.- Evaluación del stock norte – centro de la anchoveta peruana (Engraulis ringens Jenyns) por un modelo estadístico estructurado por edades. Bol Inst Mar Perú. 25(1- 2):57-61.
Dickie LM, Valdivia J. 1981. Investigación cooperativa de la anchoveta y su ecosistema (ICANE) entre Perú y Canadá. Bol. Inst. Mar Peru. Vol. Ext. I-XII.
Espinoza P, Bertrand A. 2008. Revisiting Peruvian anchovy (Engraulis ringens) trophodynamics provides a new vision of the Humboldt Current system. Progress in Oceanography. 79:215–227.
FAO. 2003. The ecosystem approach to fisheries. FAO Technical Guidelines for Responsible Fisheries. (4):112.
Field JC, Francis RC, Aydin K. 2006. Top-down modelling and bottom-up dynamics: Linking a fisheries-based ecosystem model with climate hypotheses in the Northern California Current. Progress in Oceanography 68:238–270.
Fréon P, Bouchon M, Mullon C, García C, Ñiquen M. 2008. Interdecadal variability of anchoveta abundance and overcapacity of the fishery in Peru. Progress in Oceanography 79:401–412.
Fréon P, Bertrand S, Bouchon M, Ñiquen M. 2008. Adaptive management in pelagic fisheries. Fact Sheet 9 of the EUR-OCEANS network. http://www.eur-oceans.eu/ WP9/Factsheets/FS9/FS9.pdf.
Fuentes H. 1971. La mortandad de aves marinas en 1965. Tesis para biólogo. Universidad Nacional de San Agustín de Arequipa. Perú.
Goya E. 2000. Abundancia de aves guaneras y su relación con la pesquería de anchoveta peruana de 1953 a 1999. Bol. Inst. Mar Perú 19(1-2): 125-131.
Guénette S, Christensen V, Pauly D. 2008. Trophic modelling of the Peruvian upwelling ecosystem: Towards reconciliation of multiple datasets. Progress in Oceanography 79:326–335.
Guénette S, Heymans S, Christensen V, Trites A. 2006. Ecosystem models show combined effects of fishing, predation, competition and ocean productivity on Steller sea lions (Eumetopias jubatus) in Alaska. Can. J. Fish. Aquat. Sci. 63: 2495-2517.
Jarre A, Paterson B, Moloney CL, Miller DCM, Field JG, Starfield AM. 2008. Knowledge-based systems as decision support tools in an ecosystem approach to fisheries: Comparing a fuzzy-logic and a rule-based approach. Progress in Oceanography 79:390–400.
Jordán R, Fuentes H. 1966. Las poblaciones de aves guaneras y su situación actual. Informe Instituto del Mar del Perú, Callao, 10:1-31.
Marzloff M. 2007. Exploration de la structure trophique de l’écosystème marin côtier du Pérou et des effets de la pêche à l’aide du modèle OSMOSE. Mémoire pour Diplôme d’Agronomie Approfondie (DAA). Agrocampus Rennes. 47 pp.
Pauly D. 1987. Managing the Peruvian upwelling ecosystem: a synthesis. p. 325-342. In: Pauly, D., Tsukayama, I. (Eds). The Peruvian Anchoveta and its Upwelling Ecosystem: Three Decades of Change. ICLARM Studies and Reviews, vol. 15. 351 pp.
Pauly D, Palomares ML, Gayanilo FC. 1987. VPA estimates of the monthly population length composition, recruitment, mortality, biomass and related statistics of Peruvian anchoveta, 1953 to 1981. p. 142-166. In: Pauly D., Tsukayama I. (Eds). The Peruvian Anchoveta and its Upwelling Ecosystem: Three Decades of Change. ICLARM Studies and Reviews, vol. 15. 351 pp.
Pauly D, Palomares ML. 1989. New estimates of monthly biomass, recruitment and related statistics of anchoveta (Engraulis ringens) off Peru (4-14 S), 1953-1985. p. 189-206. In: Pauly D., Muck P., Mendo J., Tsukayama I. (Eds.), The Peruvian upwelling ecosystem: dynamics and interactions. ICLARM Conference Proceedings 18. 438 pp.
Pauly D. 1995. Anecdotes and the shifting baseline syndrome of fisheries. Trends in Ecology and Evolution. 10:430.
Purca S. 2005. Variabilidad temporal de baja frecuencia en el Ecosistema de la Corriente Humboldt frente a Perú. Tesis de Doctorado. Universidad de Concepción, Chile.
Tam J, Taylor MH, Blaskovic V, Espinoza P, Ballón RM, Díaz E, Wosnitza-Mendo C, Argüelles J, Purca S, Ayón P, Quipúzcoa L, Gutiérrez D, Goya E, Ochoa N, Wolff M. 2008. Trophic modeling of the Northern Humboldt Current Ecosystem, Part I: Comparing trophic linkages under La Niña and El Niño conditions. Progress in Oceanogr. 79:352-365.
Taylor MH, Tam J, Blaskovic V, Espinoza P, Ballón RM, Wosnitza-Mendo C, Argüelles J, Díaz E, Purca S, Ochoa N, Ayón P, Goya E, Gutiérrez D, Quipúzcoa L, Wolff M. 2008. Trophic modeling of the Northern Humboldt Current Ecosystem, Part II: Elucidating ecosystem dynamics from 1995 to 2004 with a focus on the impact of ENSO. Progress in Oceanogr. 79:366-378.
Tovar H., Guillén V, Nakama ME. 1987. Montly population size of three guano bird species of Perú, 1953 to 1992. p: 208-218. En D. Pauly e I. Tsukayama (Eds.). The Peruvian anchoveta and its upwelling ecoystem: Three decades of change. ICLARM Studies and Reviews 15. 351 pp. IMARPE, GTZ, ICLARM, Manila, Philippines.
Yodzis P. 1988. The indeterminacy of ecological interactions as perceived through perturbation experiments. Ecology. 69:508-515.
Zabel R W, Harvey CJ, Katz SL, Good TP, Levin PS. 2003. Ecologically Sustainable Yield. Am. Scientist. 91:150-154.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2010 Instituto del Mar del Perú
This work is licensed under a Creative Commons Attribution 4.0 International License.
© Bol Inst Mar Perú. La revista retiene los derechos patrimoniales de los autores con la finalidad de garantizar el acceso abierto de los manuscritos.
Todos los manuscritos publicados en la revista se distribuyen bajo la licencia “Creative Commons Atribución - NoComercial - CompartirIgual 4.0 Internacional” (CC BY-NC-SA 4.0). Implica que autores y lectores pueden de forma gratuita descargar, almacenar, copiar, redistribuir, remezclar, transformar o generar obras derivadas a partir del manuscrito, siempre y cuando mencionen la fuente primaria de publicación y la autoría del manuscrito, así como que se realice sin fines comerciales y se distribuya bajo la misma licencia que el original. Puede consultar desde aquí la versión informativa y el texto legal de la licencia.
