Abstract
In this paper, we used two methodological approaches to analyze the structure and function of a trophic web in the temperate coastal lagoon of Bahía Magdalena, Baja California Sur, Mexico, which represents the largest wetland ecosystem along the west coast of the Baja California peninsula. Ecosystem structure was studied using a topological approach, while ecosystem functioning was analyzed using a biomass balance model. Connectance values indicated a low number of functional group interactions, consistent with the range proposed for similar marine trophic webs. This pattern may reflect incorporation of a few functional groups clustered along the trophic web. Results would vary if the model included more functional groups or different levels of aggregation, since aggregation and diversity strongly influence the base of the food web. Topological results suggest that trophic web structure depends primarily on lower and intermediate trophic level organisms like macrobenthic invertebrates, penaeid shrimp and marine turtles. Balance biomass model results suggest that trophic groups positioned on the first level most strongly support Bahía Magdalena trophic web functioning. In particular, the pelagic red crab (Pleurocondes planipes) transfers energy between basal and upper levels of the food web (a wasp-waist energy control). When compared to ecosystems at different latitudes, the results indicate that the Bahía Magdalena ecosystem is still in a developmental phase, wherein trophic web functioning depends largely on the balance between energy flows originating from primary producers and those originating from detrital pathways. While these results are preliminary, they demonstrate the potential of combined topological and biomass approaches in analyzing highly organized ecosystems. The combined approach can make both theoretical and empirical predictions about the functional response of real systems to structural changes, thus enhancing evidence-based methods for ecosystem management.
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Abbreviations
- ALP:
-
Average Length of the Pathway
- BC:
-
Betweenness Centrality
- CC:
-
Closeness Centrality
- KPP:
-
Key Player Problem
References
Arreguín-Sánchez, F., del Monte-Luna, P., Díaz-Uribe, J.G., Gorostieta, M., Chávez, E.A. and Ronzón-Rodríguez, R. 2007. Trophic model for the ecosystem of La Paz Bay, Southern Baja California Peninsula, Mexico. In: Le Quesne, W.J.F., Arreguín-Sánchez, F. and Heymans, S.J.J. (eds.), INCOFISH Ecosystem Models: Transiting from Ecopath to Ecospace. Fisheries Centre, University of British Columbia, Fisheries Centre Research Reports 15(6). pp. 134–160.
Aurioles-Gamboa, D., Castro-González, M.I. and Pérez-Flores, R. 1994. Annual mass stranding of pelagic red crabs Pleuroncodes planipes (Crustacea: Anomura: Galatheidae), in Bahía Magdalena, Baja California Sur, Mexico. Fish. Bull. 92: 464– 470.
Bascompte, J., Melián, C.J. and Sala, E. 2005. Interaction strength combinations and the overfishing of a marine food web. Proc. Natl. Acad. Sci. USA 102: 5443–5447.
Bodini, A., Bellingeri, M., Allesina, S. and Bondavalli, C. 2009. Using food web dominator trees to catch secondary extinctions in action. Philos. Trans. R. Soc. Lond. B Biol. Sci. 364: 1725–1731.
Borgatti, S.P., Everett, M.G. and Freeman, L.C. 2002. UCINET VI: Software for Social Network Analysis, Analytic Technologies, Harvard, US. 47 pp.
Borgatti, S.P. and Molina, J.L. 2003. Ethical and strategic issues in organizational network analysis. J. Appl. Behav. Sci. 39(3): 337–350.
Borgatti, S.P. and Foster, P. 2003. The network paradigm in organizational research: A review and typology. J. Manag. 29(6): 991–1013.
Cervantes-Duarte, R., Prego, R., López-López, S., Aguirre-Bahena, F. and Ospina-Alvarez, N. 2013. Annual patterns of nutrients and chlorophyll in a subtropical coastal lagoon under the upwelling influence (SW of Baja-California Peninsula). Estuar. Coast. Shelf. Sci. 120: 54–63.
Christensen, V., Walters, C. and Pauly, D. 2005. Ecopath with Ecosim: A User’s Guide. Fisheries Centre, University of British Columbia, BC, Vancouver.
Christensen, V., Walters, C. 2004. Ecopath with Ecosim: methods, capabilities and limitations. Ecol. Model. 172:109–139.
Christian, R.R. and Luczkovich, J.J. 1999. Organizing and understanding a winter’s seagrass food web network through effective trophic levels. Ecol. Model. 117: 99–124.
Cruz-Escalona, V.H., Arreguín-Sánchez, F. and Zetina-Rejón, M. 2007. Analysis of the ecosystem structure of Laguna Alvarado, western Gulf of Mexico, by means of a mass balance model. Estuar. Coast. Shelf. Sci. 72: 155–167.
Cruz-Escalona, V.H., Morales, M.V., Navia, A.F., Rodríguez-Barón, J.M. and del Monte-Luna, P. 2013. Análisis funcional de la red trófica de Bahía Magdalena, Baja California Sur, México. Lat. Am. J. Aquat. Res. 41(3): 519–543.
Dambacher, J.M., Young, J.W., Olson, R.J., Allain, V., Galván-Magaña, F., Lansdell, M.J., Bocanegra-Castillo, N., Alatorre-Ramírez, V., Cooper, S.P. and Duffy, LM. 2010. Analyzing pelagic food webs leading to top predators in the Pacific Ocean: A graph-theoretic approach. Prog. Oceanogr. 86: 152–165.
Duan, L.J., Li, S.Y., Liu, Y. , Jiang, T. and Failler, P., 2009. A trophic model of the Pearl River Delta coastal ecosystem. Ocean. Coast. Manage. 52: 359–367.
Dunne, J.A. 2006. The network structure of food webs. In: Pascual, M., Dunne, J.A. (eds.), Ecological Networks: Linking Structure to Dynamics in Food Webs. Oxford University Press, New York, US. pp. 27–86.
Dunne, J.A. 2009. Food webs. In: Meyers, R.A. (ed.). Encyclopedia of Complexity and Systems Science. Springer, New York, US. pp. 3661–3682.
Dunne, J.A., Williams, R.J. and Martinez, N.D. 2002. Network structure and biodiversity loss in food webs: robustness increases with connectance. Ecol. Lett. 5: 558–567.
Dunne, J.A., Williams, R.J. and Martinez, N.D. 2004. Network structure and robustness of marine food webs. Mar. Ecol. Progr. Ser. 273: 291–302.
Estes, J.A., Crooks, K. and Holt, R. 2001. Predators, ecological role of. In: S.A. Levin (ed.), Encyclopedia of Biodiversity. Academic Press, San Diego, California, US. pp. 857–878.
Finn, J.T. 1976. Measures of ecosystem structure and function derived from analysis of flows. J. Theor. Biol. 56: 363–380.
Funes-Rodríguez, R., Gómez-Gutiérrez, J. and Palomares-García, R. (eds.). 2007. Estudios Ecológicos en Bahía Magdalena. Gobierno del Estado de Baja California Sur, Secretaría de Turismo de Baja California Sur, Fondo para la Protección de los Recursos Marinos de Baja California Sur, Instituto Politécnico Nacional, Centro Interdisciplinario de Ciencias Marinas. CICIMAR-IPN, La Paz, Baja California Sur, México.
Gaichas, S.K. and Francis, R.C. 2008. Network models for ecosystem-based fishery analysis: a review of concepts and application to the Gulf of Alaska marine food web. Can. J. Fish. Aquat. Sci. 65: 1965–1982.
Gauzens, B., Legendre, S., Lazzaro, J. and Lacroix, G. 2013. Food-web aggregation, methodological and functional issues. Oikos. 122: 1606–1615.
Hall, S. J., Raffaelli, D.G. 1991. Food web patterns: lessons from a species-rich web. J. Anim. Ecol. 60:823–839.
Heymans, J.J., Coll, M., Libralato, S., Morissette, L. and Christensen, V. 2014. Global patterns in ecological indicators of marine food webs: A modelling approach. PLoS ONE. 9(4): e95845.
Jordán, F., Liu, W. and Davis, A.J. 2006. Topological keystone species: measures of positional importance in food webs. Oikos. 112: 535–546.
Jordán, F., Okey, T.H., Bauer, B. and Libralato, S. 2008. Identifying important species: linking structure and function in ecological networks. Ecol. Model. 216: 75–80.
Krivan, V. and Diehl, S. 2005. Adaptive omnivory and species coexistence in tri-trophic food webs. Theor. Pop. Biol. 67: 85–99.
Lassalle, G., Gascuel, D., Le Loch, F., Lobry, J., Pierce, G.J., Ridoux, V., Santos, M.B., Spitz, J. and Niquil, N. 2012. An ecosystem approach for the assessment of fisheries impacts on marine top-predators: the Bay of Biscay case study. ICES J. Mar. Sci. 69: 925–938.
Libralato, S., Christensen. V. and Pauly, D. 2006. A method for identifying keystone species in food web models. Ecol. Model. 195: 153–171.
Lin, H.J., Shao, K.T., Kuo, S.R., Hsieh, H.L., Wong, S.L., Chen, I.M., Lo, W.T. and Hung, J.J. 1999. A trophic model of a sandy barrier lagoon at Chiku in southwestern Taiwan. Estuar. Coast. Shelf. Sci. 48: 575–588.
Link, J. 2002. Does food web theory work for marine ecosystems? Mar. Ecol. Prog. Ser. 230: 1–9.
Lluch-Belda D., Elorduy-Garay J., Lluch-Cota S.E. and Ponce-Díaz, G. (eds.), 2000. BACs, Centro de Actividad Biológica del Pacífico Mexicano. CIBNOR SC, CICIMAR-IPN, CONACyT, La Paz, Baja California Sur, México.
López-García, J. 2015. Características estructurales y funcionales de la red trófica marina costera de la zona central del Pacífico colombiano. M.Sc. Thesis, Universidad del Valle, Cali, Colombia.
Lotze, H.K., Coll, M. and Dunne, J.A. 2011. Historical changes in marine resources, food web structure and ecosystem functioning in the Adriatic Sea, Mediterranean. Ecosystems. 14: 198–222.
Martinez, N. 1991. Artifacts or attributes? Effects of resolution on the Little Rock Lake food web. Ecol. Monogr. 61(4): 367–392.
Matishov, G.G. 2009. Effects of Global Warming on Marine Ecosystems. In: Yotova, A. (ed.), Climate Change, Human Systems and Policy. EOLSS Publishers, Paris, France. pp. 188– 204.
May, R.M. 1972. Will a large complex system be stable? Nature 238: 413–414.
Morales-Zárate, M.V., Arreguín-Sanchez, F., Lopez-Martinez, J. and Lluch-Cota, S.E. 2004. Ecosystem trophic structure and energy flux in the Northern Gulf of California, México. Ecol. Model. 174: 331–345.
Navia, A.F., Cortés, E. and Mejía-Falla, P.A. 2010. Topological analysis of the ecological importance of elasmobranch fishes: A food web study on the Gulf of Tortugas, Colombia. Ecol. Model. 221: 2918–2926.
Navia, A.F., Cortés, E., Jordán, F., Cruz-Escalona, V.H. and Mejía-Falla, P.A. 2012. Changes to marine trophic networks caused by fishing. In: Mahamane, A. (ed.), Diversity of Ecosystems. InTech, Croatia, pp. 417–452.
Navia, A.F., Cruz-Escalona, V.H., Giraldo, A. and Barausse, A. 2016. The structure of a marine tropical food web, and its implications for ecosystem-based fisheries management. Ecol. Model. 328: 23–33.
Odum, H.T. 1971. Environment, Power and Society. John Wiley & Sons, New York.
Opitz, S. 1996. Trophic interactions in Caribbean coral reefs. ICLARM Tech Rep 43. Manila, Philippines.
Pauly, D., Soriano, M. and Palomares, M.L. 1993. Improved construction, parametrization and interpretation of steady state ecosystem models. In: Christensen, V. and Pauly, D. (eds.), Trophic Models of Aquatic Ecosystems. ICLARM Conference Proceedings 26, Manila, Philippines. pp. 1–13.
Perdomo, G., Thompson, R. and Sunnucks, P. 2012. Food Web: An Open-Source Program for the Visualisation and Analysis of Compilations of Complex Food Webs. http://cran.r-project.org/web/packages/foodweb/.
Pimm, S.L. 1982. Food Webs. Chapman & Hall. London, UK.
Plagányi, E.E. 2007. Models for an Ecosystem Approach to Fisheries. FAO Fish Technical Paper, 477: 107.
Polis, G.A. and Strong, D.R. 1996. Food web complexity and community dynamics. Am. Nat. 147: 813–846.
Raymond, B., Marshall, M., Nevitt, G., Gillies, C.L., van den Hoff, J., Stark, J.S., Losekoot, M., Woehler, E.J. and Constable, A.J. 2011. A Southern Ocean dietary database. Ecology. 92: 1188.
Scotti, M. and Jordán, F. 2010. Relationships between centrality indices and trophic levels in food webs. Community Ecol. 11: 59–67.
Soto, L.A. and Escobar-Briones, E. 1995. Coupling mechanisms related to trophic benthic production in the SW Gulf of Mexico. In: Eleftheriou, A., Ansell, A.D. and Smith, C.J. (eds.), Proceedings of 28th European Marine Biology Symposium. Institute of Marine Biology of Crete, Crete, pp. 233–242.
Thompson, R.M., Hemberg, M., Starzomski, B.M. and Shurin, J.B. 2007. Trophic levels and trophic tangles: the prevalence of omnivory in real food webs. Ecology 88: 612–617.
Thompson, R.M., Brose, U., Dunne, J.A., Hall, R.O. Jr, Hladyz, S., Kitching, R.L., Martinez, N.D., Rantala, H., Romanuk, T.N., Stouffer, D.B. and Tylianakis, J.M. 2012. Food webs: reconciling the structure and function of biodiversity. Trends Ecol. Evol. 27(12): 689–97.
Ulanowicz, R.E. 1986. Growth and Development: Ecosystem Phenomenology. Springer-Verlag, New York.
Ulanowicz, R.E. 2004. A synopsis of quantitative methods for ecological network analysis. Comp. Biol. Chem. 28 (5–6): 321–339.
Villanueva, M.C., Laleye, P., Albaret, J.J., Lae, R., de Morais, L.T. and Moreau, J. 2006. Comparative analysis of trophic structure and interactions of two tropical lagoons. Ecol. Model. 197: 461–477.
Williams, R.J. and Martinez, N.D. 2004. Food webs: Theory and data limits to trophic levels and omnivory in complex. Am. Nat. 163(3): 458–468.
Yodzis, P. 1998. Local trophodynamics and the interaction of marine mammals and fisheries in the Benguela ecosystem. J. Anim. Ecol. 67: 635–658.
Zetina-Rejón, M., Arreguín-Sánchez, F. and Chávez, E.A. 2003. Trophic structure and flows of energy in the Huizache– Caimanero lagoon complex on the Pacific coast of Mexico. Estuar. Coast. Shelf. Sci. 57: 803–815.
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Cruz-Escalona, V.H., Navia, A.F., Mejia-Falla, P.A. et al. Topological and biomass balance approaches to analyzing food webs of Bahía Magdalena, Baja California Sur, Mexico. COMMUNITY ECOLOGY 17, 125–136 (2016). https://doi.org/10.1556/168.2016.17.2.1
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DOI: https://doi.org/10.1556/168.2016.17.2.1