Skip to main content
SpringerLink
Log in

Probabilistic Modelling and Analysis of a Fish Population

  • Conference paper
  • First Online:
Book cover Software Engineering and Formal Methods (SEFM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9509))

Included in the following conference series:

  • 778 Accesses

Abstract

The fish stock of the common sole in the Adriatic Sea has been analysed by agent-based modelling and simulation techniques as an integration of other classical stock assessment models. In this work we start investigating also about the formal probabilistic modelling of our case study in order to extract valuable biological information from available formal verification techniques. In particular, a PRISM model for the common sole is developed and some initial results are discussed.

This work has been supported by the RITMARE Flagship Project and by the PRIN Project CINA (prot. 2010LHT4KM), both funded by the Italian MIUR.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    The full PRISM model together with some variants with which we experimented is available at https://dl.dropboxusercontent.com/u/33462615/Soles.zip.

References

  1. Buti, F., Corradini, F., Merelli, E., Paschini, E., Penna, P., Tesei, L.: An individual-based probabilistic model for fish stock simulation. Elect. Proc. Theor. Comput. Sci. 33, 37–55 (2010)

    Article  Google Scholar 

  2. Christensen, V., Walters, C.J.: Ecopath with Ecosim: methods, capabilities and limitations. Ecol. Model. 172(2–4), 109–139 (2004)

    Article  Google Scholar 

  3. Grati, F., Scarcella, G., Polidori, P., Domenichetti, F., Bolognini, L., et al.: Multi-annual investigation of the spatial distributions of juvenile and adult sole (Solea solea, L.) in the Adriatic Sea (Northern Mediterranean). J. Sea Res. 84, 122–132 (2013)

    Article  Google Scholar 

  4. Jordán, F., Scotti, M., Priami, C.: Process algebra-based computational tools in ecological modelling. Ecol. Complex. 8(4), 357–363 (2011)

    Article  Google Scholar 

  5. Kwiatkowska, M., Norman, G., Parker, D.: PRISM: probabilistic symbolic model checker. In: Field, T., Harrison, P.G., Bradley, J., Harder, U. (eds.) TOOLS 2002. LNCS, vol. 2324, pp. 200–204. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  6. Legay, A., Delahaye, B., Bensalem, S.: Statistical model checking: an overview. In: Barringer, H., et al. (eds.) RV 2010. LNCS, vol. 6418, pp. 122–135. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  7. Nieto Coria, C.A., Tesei, L., Scarcella, G., Russo, T., Merelli, E.: Sea-scale agent-based simulator of Solea solea in the Adriatic Sea. In: Canal, C., Idani, A. (eds.) SEFM 2014 Workshops. LNCS, vol. 8938, pp. 259–275. Springer, Heidelberg (2015)

    Google Scholar 

  8. Penna, P.: DISPAS: individual-based modelling and simulation for demersal fish population dynamics. Ph.D. thesis, School of Advanced Studies, Doctoral course in Information science and complex systems, University of Camerino (2014)

    Google Scholar 

  9. Penna, P., Paoletti, N., Scarcella, G., Tesei, L., Marini, M., Merelli, E.: DISPAS: an agent-based tool for the management of fishing effort. In: Counsell, S., Núñez, M. (eds.) SEFM 2013. LNCS, vol. 8368, pp. 362–367. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  10. Scarcella, G., Leoni, S., Grati, F., Polidori, P., Pellini, G., et al.: Stock assessment of common sole in GSA 17. Technical report, Stock assessemtn form for FAO-GFCM (2014)

    Google Scholar 

  11. Taylor, C.C.: Cod growth and temperature. J. Conseil 23(3), 366–370 (1958)

    Article  Google Scholar 

  12. von Bertalanffy, L.: A quantitative theory of organic growth (inquiries on growth laws II). Hum. Biol. 10(2), 181–213 (1938)

    Google Scholar 

  13. VV. AA.: Report of the world summit on sustainable development. Technical report, United Nations (2002). http://www.un.org/jsummit/html/documents/summit_docs/131302_wssd_report_reissued.pdf

  14. VV. AA.: Common Fisheries policy. Technical report, European Commission (2014). http://ec.europa.eu/fisheries/reform/index_en.htm

  15. VV. AA.: Fish stocks in Northeast Atlantic recover, whilst serious overfishing in Mediterranean: commission sets out plans for 2015 fishing opportunities. Technical report, European Commission (2014). http://europa.eu/rapid/press-release_IP-14-724_en.htm

Download references

Author information

Authors and Affiliations

  1. School of Science and Technology, University of Camerino, Via del Bastione, 1, 62032, Camerino, Italy

    Luca Tesei, Cesar A. Nieto Coria & Emanuela Merelli

  2. National Research Council - Institute of Marine Sciences Ancona, Largo Fiera della Pesca, 2, 60125, Ancona, Italy

    Giuseppe Scarcella

  3. CINFAI, Consorzio Interuniversitario Nazionale per la Fisica Delle Atmosfere e delle Idrosfere, Sezione di Camerino, Via del Bastione, 1, 62032, Camerino, Italy

    Luca Tesei, Cesar A. Nieto Coria & Emanuela Merelli

  4. e-Lios (e-Linking Online Systems) S.r.l., Via Le Mosse, 22, 62032, Camerino, Italy

    Chiara Cini

Authors
  1. Chiara Cini
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Luca Tesei
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Giuseppe Scarcella
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Cesar A. Nieto Coria
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Emanuela Merelli
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Luca Tesei .

Editor information

Editors and Affiliations

  1. Interdisciplinary Centre for ICT Se, University of Luxembourg (UL)., Luxembourg

    Domenico Bianculli

  2. University of York, York, United Kingdom

    Radu Calinescu

  3. LS Software Engineering, RWTH Aachen Universität, Aachen, Nordrhein-Westfalen, Germany

    Bernhard Rumpe

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cini, C., Tesei, L., Scarcella, G., Nieto Coria, C.A., Merelli, E. (2015). Probabilistic Modelling and Analysis of a Fish Population. In: Bianculli, D., Calinescu, R., Rumpe, B. (eds) Software Engineering and Formal Methods. SEFM 2015. Lecture Notes in Computer Science(), vol 9509. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49224-6_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-49224-6_16

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49223-9

  • Online ISBN: 978-3-662-49224-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation