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An Ecosystem Model of Intermediate Complexity to test management options for fisheries: A case study

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  • Angelini, Silvia
  • Hillary, Richard
  • Morello, Elisabetta B.
  • Plagányi, Éva E.
  • Martinelli, Michela
  • Manfredi, Chiara
  • Isajlović, Igor
  • Santojanni, Alberto

Abstract

Reduction of complexity and capacity to evaluate management strategies are important considerations when modelling complex ecosystems. Models of Intermediate Complexity for Ecosystem assessments (MICE) achieve this by representing interactions among a restricted number of crucial species in the ecosystem considered. MICE applications are question-driven, heavily dependent on available data for conditioning and aimed at addressing tactical issues. Here we present the development of a MICE for the central Adriatic Sea. This area is important ecologically and economically because it supports a commercial stock of Norway lobster (Nephrops norvegicus), and a nursery ground for European hake (Merluccius merluccius), as well as being subjected to high levels of fishing pressure. Here, Italian and Croatian bottom trawl fisheries mainly target Norway lobster while impacting juvenile hake. Single-species stock assessments for the target species indicate fluctuating trends between 2006 and 2013, as do the survey biomass trends of most of their prey, underlining the need for a multispecies management plan. The diet of the target species were examined and prey items partitioned into four groups. Consumption of prey groups by predators was modelled using a Holling Type II functional response. A modified biomass dynamic model was used to represent the prey dynamics, projecting them into the future for 10 years (2013–2022) and testing different management strategies, including a discard ban. The most effective management option was the protection of larger individuals, which led to a clear improvement in the stock abundance and spawning stock biomass of both hake and Norway lobster without significant adverse effects on their prey. The discard ban scenario appeared to have knock-on effects on both predators and some of their prey.

Suggested Citation

  • Angelini, Silvia & Hillary, Richard & Morello, Elisabetta B. & Plagányi, Éva E. & Martinelli, Michela & Manfredi, Chiara & Isajlović, Igor & Santojanni, Alberto, 2016. "An Ecosystem Model of Intermediate Complexity to test management options for fisheries: A case study," Ecological Modelling, Elsevier, vol. 319(C), pages 218-232.
  • Handle: RePEc:eee:ecomod:v:319:y:2016:i:c:p:218-232
    DOI: 10.1016/j.ecolmodel.2015.07.031
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    References listed on IDEAS

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    1. Tommaso Russo & Lorenzo D'Andrea & Antonio Parisi & Stefano Cataudella, 2014. "VMSbase: An R-Package for VMS and Logbook Data Management and Analysis in Fisheries Ecology," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-18, June.
    2. R. M. Hillary, 2011. "A New Method for Estimating Growth Transition Matrices," Biometrics, The International Biometric Society, vol. 67(1), pages 76-85, March.
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    1. Matteo Chiarini & Stefano Guicciardi & Lorenzo Zacchetti & Filippo Domenichetti & Giovanni Canduci & Silvia Angelini & Andrea Belardinelli & Camilla Croci & Giordano Giuliani & Paolo Scarpini & Albert, 2022. "Looking for a Simple Assessment Tool for a Complex Task: Short-Term Evaluation of Changes in Fisheries Management Measures in the Pomo/Jabuka Pits Area (Central Adriatic Sea)," Sustainability, MDPI, vol. 14(13), pages 1-21, June.

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