Register      Login
Marine and Freshwater Research Marine and Freshwater Research Society
Advances in the aquatic sciences
RESEARCH ARTICLE

Food chain length in a large floodplain river: planktonic or benthic reliance as a limiting factor

M. Saigo A C , L. Ruffener A , P Scarabotti A B and M. Marchese A B
+ Author Affiliations
- Author Affiliations

A Instituto Nacional de Limnología (INALI), Consejo Nacional de Investigaciones Científicas y Técnicas–Universidad Nacional del Litoral (CONICET-UNL), Ciudad Universitaria, Santa Fe, 3000, Argentina.

B Facultad de Humanidades y Ciencias–Universidad Nacional del Litoral (FHUC-UNL), Ciudad Universitaria, Santa Fe, 3000, Argentina.

C Corresponding author. Email: miguelsaigo@gmail.com

Marine and Freshwater Research 68(7) 1336-1341 https://doi.org/10.1071/MF16269
Submitted: 1 June 2016  Accepted: 1 September 2016   Published: 4 October 2016

Abstract

Food chain length (FCL) is a key integrative variable describing ecosystem functioning. The aim of the present study was to test the hypothesis that the relative importance of planktonic and benthic energy pathways is a major factor affecting FCL in the Middle Paraná River. Samples were obtained from in eight waterbodies, measuring chlorophyll-a concentrations and the abundance of benthic invertebrates and the trophic position of top predators by stable isotope analysis. There was no evidence that resource availability, disturbances or ecosystem size limited FCL. Similarly, the body size and trophic position of predators were not correlated. However, the relative abundance of planktonic and benthic resources was correlated with FCL. In addition, stable isotopes analysis showed that the benthic reliance of top predators is correlated with their trophic position. The results of the present study indicate that because the major benthic primary consumer is a large fish (Prochilodus lineatus), the size structure of individual food chains is an important factor determining FCL. Whereas in floodplain rivers large detritivorous fishes are targets of commercial fishing, overfishing in the Middle Paraná River could be expected to increase FCL, the opposite effect to that seen in marine environments.

Additional keywords: benthos, fish, food webs, plankton, stable isotopes.


References

Boecklen, W. J., Yarnes, C. T., Cook, B. A., and James, A. C. (2011). On the use of stable isotopes in trophic ecology. Annual Review of Ecology Evolution and Systematics 42, 411–440.
On the use of stable isotopes in trophic ecology.Crossref | GoogleScholarGoogle Scholar |

Cohen, J., and Newman, C. (1991). Community area and food-chain length: theoretical predictions. American Naturalist 138, 1542–1554.
Community area and food-chain length: theoretical predictions.Crossref | GoogleScholarGoogle Scholar |

Doi, H., Chang, K. H., Ando, T., Ninomiya, I., Imai, H., and Nakano, S. I. (2009). Resource availability and ecosystem size predict food chain length in pond ecosystems. Oikos 118, 138–144.
Resource availability and ecosystem size predict food chain length in pond ecosystems.Crossref | GoogleScholarGoogle Scholar |

Fretwell, S. D. (1987). Food chain dynamics: the central theory of ecology? Oikos 50, 291–301.
Food chain dynamics: the central theory of ecology?Crossref | GoogleScholarGoogle Scholar |

Hoeinghaus, D. J., Winemiller, K. O., and Agostinho, A. A. (2008). Hydrogeomorphology and river impoundment affect food-chain length of diverse Neotropical food webs. Oikos 117, 984–995.
Hydrogeomorphology and river impoundment affect food-chain length of diverse Neotropical food webs.Crossref | GoogleScholarGoogle Scholar |

Layman, C. A., Winemiller, K. O., Arrington, D. A., and Jepsen, D. B. (2005). Body size and trophic position in a diverse tropical food web. Ecology 86, 2530–2535.
Body size and trophic position in a diverse tropical food web.Crossref | GoogleScholarGoogle Scholar |

Lorenzen, C. (1967). Vertical distribution of chlorophyll and phaeopigments: Baja California. Deep-Sea Research 14, 735–745.
| 1:CAS:528:DyaF1cXhtVWqt74%3D&md5=5bec0f7c83ca330cd1bc2eb8af63365cCAS |

Matthews, B., and Mazumder, A. (2005). Temporal variation in body composition (C : N) helps explain seasonal patterns of zooplankton δ13C. Freshwater Biology 50, 502–515.
Temporal variation in body composition (C : N) helps explain seasonal patterns of zooplankton δ13C.Crossref | GoogleScholarGoogle Scholar |

McConnaughey, T., and McRoy, C. P. (1979). Food-web structure and the fractionation of carbon isotopes in the Bering Sea. Marine Biology 53, 257–262.
Food-web structure and the fractionation of carbon isotopes in the Bering Sea.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaL3cXhtV2gtbk%3D&md5=c3929bf1151669febd9544225556e53bCAS |

McHugh, P. A., McIntosh, A. R., and Jellyman, P. G. (2010). Dual influences of ecosystem size and disturbance on food chain length in streams. Ecology Letters 13, 881–890.
Dual influences of ecosystem size and disturbance on food chain length in streams.Crossref | GoogleScholarGoogle Scholar | 20482579PubMed |

Pauly, D., Christensen, V., Dalsgaard, J., Froese, R., and Torres, F. (1998). Fishing down marine food webs. Science 279, 860–863.
Fishing down marine food webs.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK1cXhtVOjtro%3D&md5=010a05bb1f3a3164109057abbef3aaf7CAS | 9452385PubMed |

Pimm, S. L. (1982). ‘Food Webs.’ (Chapman & Hall: London, UK.)

Pimm, S. L., and Lawton, J. (1978). The number of trophic levels in ecological communities. Nature 275, 542–544.
The number of trophic levels in ecological communities.Crossref | GoogleScholarGoogle Scholar |

Post, D. M. (2002). Using stable isotopes to estimate trophic position: models, methods, and assumptions. Ecology 83, 703–718.
Using stable isotopes to estimate trophic position: models, methods, and assumptions.Crossref | GoogleScholarGoogle Scholar |

Post, D. M., and Takimoto, G. (2007). Proximate structural mechanisms for variation in food-chain length. Oikos 116, 775–782.
Proximate structural mechanisms for variation in food-chain length.Crossref | GoogleScholarGoogle Scholar |

Post, D. M., Pace, M. L., and Hairston, N. G. (2000). Ecosystem size determines food-chain length in lakes. Nature 405, 1047–1049.
Ecosystem size determines food-chain length in lakes.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD3cXkvFKlu7Y%3D&md5=33b9c6032cd21f8b15d2a9e41f4e0090CAS | 10890443PubMed |

Post, D. M., Layman, C. A., Arrington, D. A., Takimoto, G., Quattrochi, J., and Montaña, C. (2007). Getting to the fat of the matter: models, methods and assumptions for dealing with lipids in stable isotope analyses. Oecologia 152, 179–189.
Getting to the fat of the matter: models, methods and assumptions for dealing with lipids in stable isotope analyses.Crossref | GoogleScholarGoogle Scholar | 17225157PubMed |

Rice, J., and Gislason, H. (1996). Patterns of change in the size spectra of numbers and diversity of the North Sea fish assemblage, as reflected in surveys and models. ICES Journal of Marine Science 53, 1214–1225.
Patterns of change in the size spectra of numbers and diversity of the North Sea fish assemblage, as reflected in surveys and models.Crossref | GoogleScholarGoogle Scholar |

Romanuk, T. N., Hayward, A., and Hutchings, J. A. (2011). Trophic level scales positively with body size in fishes. Global Ecology and Biogeography 20, 231–240.
Trophic level scales positively with body size in fishes.Crossref | GoogleScholarGoogle Scholar |

Rossi, L., Cordiviola, E., and Parma, M. J. (2007). Fishes. In ‘The Middle Paraná River: Limnology of a Subtropical Wetland’. (Eds M. H. Iriondo, J. C. Paggi and M. J. Parma.) pp. 303–326. (Springer: Berlin.)

Sabo, J. L., Finlay, J. C., and Post, D. M. (2009). Food chains in freshwaters. Annals of the New York Academy of Sciences 1162, 187–220.
Food chains in freshwaters.Crossref | GoogleScholarGoogle Scholar | 19432649PubMed |

Sabo, J. L., Finlay, J. C., Kennedy, T., and Post, D. M. (2010). The role of discharge variation in scaling of drainage area and food chain length in rivers. Science 330, 965–967.
The role of discharge variation in scaling of drainage area and food chain length in rivers.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXhtl2isbjM&md5=00efe1144726284b12b14a1b7d015c71CAS | 20947729PubMed |

Saigo, M., Zilli, F. L., Marchese, M. R., and Demonte, D. (2015). Trophic level, food chain length and omnivory in the Paraná River: a food web model approach in a floodplain river system. Ecological Research 30, 843–852.
Trophic level, food chain length and omnivory in the Paraná River: a food web model approach in a floodplain river system.Crossref | GoogleScholarGoogle Scholar |

Schoener, T. W. (1989). Food webs from the small to the large. Ecology 70, 1559–1589.
Food webs from the small to the large.Crossref | GoogleScholarGoogle Scholar |

Spencer, M., and Warren, P. H. (1996). The effects of habitat size and productivity on food web structure in small aquatic microcosms. Oikos 75, 419–430.
The effects of habitat size and productivity on food web structure in small aquatic microcosms.Crossref | GoogleScholarGoogle Scholar |

Takimoto, G., and Post, D. M. (2013). Environmental determinants of food-chain length: a meta-analysis. Ecological Research 28, 675–681.
Environmental determinants of food-chain length: a meta-analysis.Crossref | GoogleScholarGoogle Scholar |

Thompson, R. M., and Townsend, C. R. (2005). Energy availability, spatial heterogeneity and ecosystem size predict food-web structure in streams. Oikos 108, 137–148.
Energy availability, spatial heterogeneity and ecosystem size predict food-web structure in streams.Crossref | GoogleScholarGoogle Scholar |

Vander Zanden, M. J., and Rasmussen, J. B. (1996). A trophic position model of pelagic food webs: impact on contaminant bioaccumulation in lake trout. Ecological Monographs 66, 451–477.
A trophic position model of pelagic food webs: impact on contaminant bioaccumulation in lake trout.Crossref | GoogleScholarGoogle Scholar |

Vanderklift, M. A., and Ponsard, S. (2003). Sources of variation in consumer-diet δ15N enrichment: a meta-analysis. Oecologia 136, 169–182.
Sources of variation in consumer-diet δ15N enrichment: a meta-analysis.Crossref | GoogleScholarGoogle Scholar | 12802678PubMed |

Warfe, D. M., Jardine, T. D., Pettit, N. E., Hamilton, S. K., Pusey, B. J., Bunn, S. E., Davies, P. M., and Douglas, M. M. (2013). Productivity, disturbance and ecosystem size have no influence on food chain length in seasonally connected rivers. PLoS One 8, e66240.
Productivity, disturbance and ecosystem size have no influence on food chain length in seasonally connected rivers.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXhtVanu7jF&md5=dfc307b031d847c13e869da64393a219CAS | 23776641PubMed |

Williams, A. J., and Trexler, J. C. (2006). A preliminary analysis of the correlation of food-web characteristics with hydrology and nutrient gradients in the southern Everglades. Hydrobiologia 569, 493–504.
A preliminary analysis of the correlation of food-web characteristics with hydrology and nutrient gradients in the southern Everglades.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28XnsFyju78%3D&md5=1b4fd6307815ca4d171fac34ca94ef44CAS |

Young, H. S., Mccauley, D. J., Dunbar, R. B., Hutson, M. S., Ter-Kuile, A. M., and Dirzo, R. (2013). The roles of productivity and ecosystem size in determining food chain length in tropical terrestrial ecosystems. Ecology 94, 692–701.
The roles of productivity and ecosystem size in determining food chain length in tropical terrestrial ecosystems.Crossref | GoogleScholarGoogle Scholar | 23687895PubMed |