Parameters of the Spondylus limbatus GB Sowerby II, 1847, population in the Central-West Gulf of California, Mexico

References

• Aragón-Noriega EA, Chavéz-Villalba J, Gribben PE, Alcántara-Razo E, Maeda-Martinez AN, Arámbula-Pujol EM, García-Juarez AR, Maldonado-Amparo R. 2007. Morphometric relationships, gametogenic development and spawning of the geoduck clam Panopea globosa (Bivalvia: Hiatellidae) in the central Gulf of California. J Shellfish Res. 26(2):423–431. doi:10.2983/0730-8000(2007)26[423:MRGDAS]2.0.CO;2.
   Web of Science ®Google Scholar
• Aragón-Noriega EA, Rodríguez-Domínguez G. 2015. Comparison of growth curves of four Panopea species. J Shellfish Res. 34(1):129–136. doi:10.2983/035.034.0118.
   Web of Science ®Google Scholar
• Arámbula-Pujol EM, García-Juárez AR, Alcántara-Razo E, Aragón-Noriega EA. 2008. Aspects of reproductive biology of the geoduck clam Panopea globosa (Dall 1898) en el Golfo de California. Hidrobiológica. 18(2):89–98.
   Web of Science ®Google Scholar
• Beamish RJ, Fournier DA. 1981. A method for comparing the precision of a set of age determinations. Can J Fish Aquat Sci. 38(8):982–983. doi:10.1139/f81-132.
   Web of Science ®Google Scholar
• Burnham KP, Anderson DR. 2002. Model selection and multimodel inference: a practical information-theoretic approach. New York: Springer.
   Google Scholar
• Calderón-Aguilera LE, Aragón-Noriega EA, Hand CM, Moreno-Rivera VM. 2010. Morphometric relationships, age, growth, and mortality of the geoduck clam, Panopea generosa, along the Pacific Coast of Baja California, Mexico. J Shellfish Res. 29(2):319–326. doi:10.2983/035.029.0206.
   Web of Science ®Google Scholar
• Chang WY. 1982. A statistical method for evaluating the reproducibility of age determination. Can J Fish Aquat Sci. 39(8):1208–1210. doi:10.1139/f82-158.
   Web of Science ®Google Scholar
• Cota-Hernández GG 2011. Reproducción y crecimiento de Spondylus calcifer (Carpenter, 1857) en la zona centro occidental del Golfo de California (Agua Verde, B.C.S.). [master’s thesis]. La Paz (México): CICIMAR-IPN.
   Google Scholar
• Cudney-Bueno JR. 2007. Plan de manejo regional para el aprovechamiento y la recuperación del callo de escarlopa, Spondylus calcifer. Sonora (México): Centro Intercultural de Estudios de Desierto y Océanos.
   Google Scholar
• Cudney-Bueno JR, Rowell K. 2008. Establishing a baseline for management of the rock scallop, Spondylus calcifer (Carpenter 1857): Growth and reproduction in the upper Gulf of California, Mexico. J Shellfish Res. 27(4):625–632. doi:10.2983/0730-8000(2008)27[625:EABFMO]2.0.CO;2.
   Web of Science ®Google Scholar
• De León-González JA, Tristán AL, Salazar-Vallejo SI. 1993. Epifauna del ostión espinoso Spondylus prínceps unicolor (Mollusca: Bivalvia), de Puesto Escondido, Golfo de California, México. Rev biol trop. 41(3):877–881.
   Google Scholar
• Echazabal-Salazar O 2018. Edad, crecimiento y mortalidad de Spondylus crassisquama, (Lamarck, 1819) en la Laguna Ojo de Liebre, Baja California Sur, México. [master’s thesis]. La Paz (México): CICIMAR-IPN.
   Google Scholar
• Fontoura NF, Braun AS, Milani PC. 2009. Estimating size at first maturity (L50) from Gonadosomatic Index (GSI) data. Neotrop Ichthyol. 7(2)::217–222. doi:10.1590/S1679-62252009000200013.
   Web of Science ®Google Scholar
• Haddon M. 2001. Modelling and quantitative methods in fisheries. Boca Raton: Chapman and Hall/CRC.
   Google Scholar
• Hilborn R, Mangel M. 1997. The ecological detective. Confronting models with data. Monographs in population biology. Princeton: Academic Press.
   Google Scholar
• Humason GL. 1979. Animal tissue techniques. San Francisco: W.H. Freeman and company.
   Google Scholar
• Jones DC. 2004. Bivalve epibiont armor. The evolution of an antipredatory strategy. Ohio, EE. UU.: University of Cincinnati.
   Google Scholar
• Katsanevakis S. 2006. Modelling fish growth: Model selection, multi-model inference and model selection uncertainty. Fish Res. 81:229–235.
   Web of Science ®Google Scholar
• Katsanevakis S, Maravelias CD. 2008. Modelling fish growth: Multi-model inference as a better alternative to a priori using von Bertalanffy equation. Fish and Fisheries. 9(2):178–187. doi:10.1111/j.1467-2979.2008.00279.x.
   Web of Science ®Google Scholar
• Keen AM. 1971. Sea shells of tropical West America. Marine mollusks from Baja California to Peru: Stanford University Press.
   Google Scholar
• Lodeiros C, Soria G, Valentich-Scott P, Munguía-Vega A, Santana-Cabrera J, Cudney-Bueno R, Loor A, Marquez A, Sonnenholzner S. 2016. Spondylids of Eastern Pacific Ocean. J Shellfish Res. 35(2):279–293. doi:10.2983/035.035.0203.
   Web of Science ®Google Scholar
• Lysack W. 1980. Lake Winnipeg fish stock assessment program. Canada: Department of Natural Resources. MS Report No:30–80.
   Google Scholar
• Mackensen A 2013. Towards sustainable artisanal fisheries for the common pool resource Spondylus (Bivalvia, Spondylidae) in Ecuador [dissertation]. Alemania: Bremen University
   Google Scholar
• Mackensen AK, Brey T, Bock C, Luna S. 2012. Spondylus crassisquama Lamarck, 1819 as a microecosystem and the effects of associated macrofauna on its shell integrity: Isles of biodiversity or sleeping with the enemy? Mar Biodiv. 42(4):443–451. doi:10.1007/s12526-012-0120-9.
   Web of Science ®Google Scholar
• Mackensen AK, Brey T, Sonnenholzner S. 2011. The fate of Spondylus stocks (Bivalvia: Spondylidae) in Ecuador: Is recovery likely? J Shellfish Res. 30(1):115–121.
   Web of Science ®Google Scholar
• Morales-Bjorquez E, Nevárez-Martinez MO. 2005. Spawner-recruit patterns and investigation of Allee effect in Pacific sardine Sardinops sagax caeruleus in the Gulf of California, Mexico. Calif Coop Ocean. 46:161–174.
   Web of Science ®Google Scholar
• Morison AK, Robertson SG, Smith DC. 1998. An integrated system for production fish aging: Image analysis and quality assurance. N Am J Fish Manag. 18:587–598.
   Google Scholar
• Neter J, Kutner MH, Nachtsheim CJ, Wasserman W. 1996. Applied linear statistical models. Chicago: McGraw‐Hill/Irwin.
   Google Scholar
• Polacheck T, Hilborn R, Punt AE. 1993. Fitting surplus production models: Comparing methods and measuring uncertainty. Can J Fish Aquat Sci. 50:2597–2607.
   Web of Science ®Google Scholar
• SEMARNAT. 2005. Plan de Manejo Regional del callo de Escarlopa (Spondylus) 26.
   Google Scholar
• Skoglund C, Mulliner DK. 1996. The genus Spondylus (Bivalvia: Spondylidae) of the panamic province. Festivus. 28(9):93–107.
   Google Scholar
• Vega de la Vega M. 2012. Caracterización de la reproducción de Spondylus calcifer (carpenter, 1857) en un centro de actividad biológica: Bahía de los Ángeles, Golfo de California [master’s thesis] La Paz (México): CICIMAR-IPN.
   Google Scholar
• Villalejo-Fuerte M, Arellano MA, Ceballos-Vázquez BP, González-Castro D, Berovides-Alvarez V, Tripp-Quezada A, Tripp-Valdez A. 2015. Spondylus calcifer Carpenter, 1857: Antecedentes de la especie. Amici Molluscarum. 23(1–2):39–42.
   Google Scholar
• Villalejo-Fuerte M, Arellano-Martínez M, Ceballos-Vázquez BP, García-Domínguez F. 2002. Reproductive cycle of Spondylus calcifer from Isla Danzante, Gulf of California. Revista J Shellfish Res. 21(1):103–108.
   Google Scholar
• Villalejo-Fuerte M, Borges-Souza J, Arellano-Martínez M, Tripp-Quezada A, Fernández-Aguirre E, Berovides-Álvarez V, Cabrera-Jerez AR. 2020. Density of the bivalve Spondylus limbatus G.B. Sowerby II, 1847 (= S. calcifer) in Agua Verde-Tembabiche, Gulf of California, Mexico. Lat Am J Aquat Res. 48:162–166.
   Web of Science ®Google Scholar
• Villalejo-Fuerte M, García-Domínguez FA. 1998. Reproductive cycle of Spondylus leucacanthus Broderip 1833 (Bivalvia: Spondylidae) at Isla Danzante, Gulf of California. J Shellfish Res. 17(4):1037–1042.
   Web of Science ®Google Scholar
• Villalejo-Fuerte M, Muñetón-Gómez MS. 2002. Tópicos sobre la biología de la almeja burra Spondylus calcifer (Carpenter, 1857). Hidrobiológica. 12(1):79–87.
   Google Scholar
• Zar J. 2018. Biostatistical analysis. New Jersey: Pearson.
   Google Scholar