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An inverse model for the analysis of the Venice lagoon food web

Author

Listed:
  • Brigolin, D.
  • Savenkoff, C.
  • Zucchetta, M.
  • Pranovi, F.
  • Franzoi, P.
  • Torricelli, P.
  • Pastres, R.

Abstract

A steady-state model of the Venice lagoon food web was constructed, based on a comprehensive set of data, which were collected in the years 2001–2005. Energy flows were estimated by means of an inverse methodology of constrained optimization based on the Minimum Norm criterion, i.e. on the minimization of both the sum of squares of the residuals and of the sum of squares of energy flows. The solution was constrained by a set inequalities, which were derived from general eco-physiological knowledge and site specific data on energy flows. The trophic network was represented by thirty-two nodes, including single-species compartments for the species of high economical or ecological relevance. Mass balance equations were weighted, in order to obtain meaningful results in presence of large differences, up to 5 orders of magnitude, among biomasses. A perturbation technique was applied, with the purpose of reducing the risk of finding solutions heavily affected by the set of constraints and of obtaining a more robust representation of the energy flows. The main patterns of energy flow are consistent with those obtained in previous attempts at modelling the Venice lagoon food web. Micro- and macro-phytobenthos account for the largest fraction of the primary production. Energy is then transferred towards higher trophic levels by means of two main pathways: the recycling of dead biomass through the detritus compartment and the direct consumption by grazers. The first pathway is the most important and accounts for approximately two/thirds of the energy transferred to the second trophic level.

Suggested Citation

  • Brigolin, D. & Savenkoff, C. & Zucchetta, M. & Pranovi, F. & Franzoi, P. & Torricelli, P. & Pastres, R., 2011. "An inverse model for the analysis of the Venice lagoon food web," Ecological Modelling, Elsevier, vol. 222(14), pages 2404-2413.
  • Handle: RePEc:eee:ecomod:v:222:y:2011:i:14:p:2404-2413
    DOI: 10.1016/j.ecolmodel.2011.04.002
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    References listed on IDEAS

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    1. Savenkoff, C. & Swain, D.P. & Hanson, J.M. & Castonguay, M. & Hammill, M.O. & Bourdages, H. & Morissette, L. & Chabot, D., 2007. "Effects of fishing and predation in a heavily exploited ecosystem: Comparing periods before and after the collapse of groundfish in the southern Gulf of St. Lawrence (Canada)," Ecological Modelling, Elsevier, vol. 204(1), pages 115-128.
    2. Libralato, Simone & Solidoro, Cosimo, 2009. "Bridging biogeochemical and food web models for an End-to-End representation of marine ecosystem dynamics: The Venice lagoon case study," Ecological Modelling, Elsevier, vol. 220(21), pages 2960-2971.
    3. Kones, Julius K. & Soetaert, Karline & van Oevelen, Dick & Owino, John O., 2009. "Are network indices robust indicators of food web functioning? A Monte Carlo approach," Ecological Modelling, Elsevier, vol. 220(3), pages 370-382.
    4. Chong Ju Choi & Carla C. J. M. Millar & Caroline Y. L. Wong, 2005. "Knowledge and the State," Palgrave Macmillan Books, in: Knowledge Entanglements, chapter 0, pages 19-38, Palgrave Macmillan.
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    1. Taffi, Marianna & Paoletti, Nicola & Liò, Pietro & Pucciarelli, Sandra & Marini, Mauro, 2015. "Bioaccumulation modelling and sensitivity analysis for discovering key players in contaminated food webs: The case study of PCBs in the Adriatic Sea," Ecological Modelling, Elsevier, vol. 306(C), pages 205-215.

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