IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v382y2018icp51-62.html
   My bibliography  Save this article

A depth-resolved artificial neural network model of marine phytoplankton primary production

Author

Listed:
  • Mattei, F.
  • Franceschini, S.
  • Scardi, M.

Abstract

Marine phytoplankton primary production is an extremely important process and its estimates play a major role not only in biological oceanography, but also in a broader context, due to its relationship with oceanic food webs, energy fluxes, carbon cycle and Earth’s climate.

Suggested Citation

  • Mattei, F. & Franceschini, S. & Scardi, M., 2018. "A depth-resolved artificial neural network model of marine phytoplankton primary production," Ecological Modelling, Elsevier, vol. 382(C), pages 51-62.
    • Handle: RePEc:eee:ecomod:v:382:y:2018:i:c:p:51-62
    DOI: 10.1016/j.ecolmodel.2018.05.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380018301467
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2018.05.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Iebeling Kaastra & Milton S. Boyd, 1995. "Forecasting futures trading volume using neural networks," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 15(8), pages 953-970, December.
    2. Holmlund, Cecilia M. & Hammer, Monica, 1999. "Ecosystem services generated by fish populations," Ecological Economics, Elsevier, vol. 29(2), pages 253-268, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mattei, F. & Buonocore, E. & Franzese, P.P. & Scardi, M., 2021. "Global assessment of marine phytoplankton primary production: Integrating machine learning and environmental accounting models," Ecological Modelling, Elsevier, vol. 451(C).
    2. Sunayana & Komal Kalawapudi & Ojaswikrishna Dube & Renuka Sharma, 2020. "Use of neural networks and spatial interpolation to predict groundwater quality," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 2801-2816, April.
    3. Mattei, F. & Scardi, M., 2020. "Embedding ecological knowledge into artificial neural network training: A marine phytoplankton primary production model case study," Ecological Modelling, Elsevier, vol. 421(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bialkowski, Jedrzej & Darolles, Serge & Le Fol, Gaëlle, 2008. "Improving VWAP strategies: A dynamic volume approach," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1709-1722, September.
    2. Mark T. Leung & An-Sing Chen, 2005. "Performance evaluation of neural network architectures: the case of predicting foreign exchange correlations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(6), pages 403-420.
    3. Shaogao Lv & Yongchao Hou & Hongwei Zhou, 2019. "Financial Market Directional Forecasting With Stacked Denoising Autoencoder," Papers 1912.00712, arXiv.org.
    4. Matthew F Dixon, 2017. "Sequence Classification of the Limit Order Book using Recurrent Neural Networks," Papers 1707.05642, arXiv.org.
    5. Balázsi, Ágnes & Dänhardt, Juliana & Collins, Sue & Schweiger, Oliver & Settele, Josef & Hartel, Tibor, 2021. "Understanding cultural ecosystem services related to farmlands: Expert survey in Europe," Land Use Policy, Elsevier, vol. 100(C).
    6. Lucie Kuczynski & Mathieu Chevalier & Pascal Laffaille & Marion Legrand & Gaël Grenouillet, 2017. "Indirect effect of temperature on fish population abundances through phenological changes," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-13, April.
    7. Baggio, Michele & Towe, Charles, 2015. "Evaluating the Effects of River and Stream Restorations," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205561, Agricultural and Applied Economics Association.
    8. Fletcher, Ruth & Baulcomb, Corinne & Hall, Clare & Hussain, Salman, 2014. "Revealing marine cultural ecosystem services in the Black Sea," Marine Policy, Elsevier, vol. 50(PA), pages 151-161.
    9. Börger, Tobias & Beaumont, Nicola J. & Pendleton, Linwood & Boyle, Kevin J. & Cooper, Philip & Fletcher, Stephen & Haab, Tim & Hanemann, Michael & Hooper, Tara L. & Hussain, S. Salman & Portela, Rosim, 2014. "Incorporating ecosystem services in marine planning: The role of valuation," Marine Policy, Elsevier, vol. 46(C), pages 161-170.
    10. Tay, Francis E. H. & Cao, Lijuan, 2001. "Application of support vector machines in financial time series forecasting," Omega, Elsevier, vol. 29(4), pages 309-317, August.
    11. Vigne, Samuel A. & Lucey, Brian M. & O’Connor, Fergal A. & Yarovaya, Larisa, 2017. "The financial economics of white precious metals — A survey," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 292-308.
    12. Worthington, Thomas A. & Worthington, Ian & Vaughan, Ian P. & Ormerod, Steve J. & Durance, Isabelle, 2020. "Testing the ecosystem service cascade framework for Atlantic salmon," Ecosystem Services, Elsevier, vol. 46(C).
    13. Baggio, Michele & Towe, Charles, 2016. "Evaluating the Effects of Stream Restorations," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235679, Agricultural and Applied Economics Association.
    14. Knowler, D., 2005. "Reassessing the costs of biological invasion: Mnemiopsis leidyi in the Black sea," Ecological Economics, Elsevier, vol. 52(2), pages 187-199, January.
    15. Erwin, Patrick M. & López-Legentil, Susanna & Schuhmann, Peter W., 2010. "The pharmaceutical value of marine biodiversity for anti-cancer drug discovery," Ecological Economics, Elsevier, vol. 70(2), pages 445-451, December.
    16. Wu, Yih-Jiuan, 1998. "Exchange rate forecasting: an application of radial basis function neural networks," ISU General Staff Papers 1998010108000013540, Iowa State University, Department of Economics.
    17. King, Steven & O'Hanley, Jesse R. & Fraser, Iain, 2021. "How to choose? A bioeconomic model for optimizing river barrier mitigation actions," Ecological Economics, Elsevier, vol. 181(C).
    18. Nielsen, Rasmus & Hoff, Ayoe & Waldo, Staffan & Hammarlund, Cecilia & Virtanen, Jarno, 2019. "Fishing for nutrients – economic effects of fisheries management targeting eutrophication in the Baltic Sea," Ecological Economics, Elsevier, vol. 160(C), pages 156-167.
    19. Yang, Z. R. & Platt, Marjorie B. & Platt, Harlan D., 1999. "Probabilistic Neural Networks in Bankruptcy Prediction," Journal of Business Research, Elsevier, vol. 44(2), pages 67-74, February.
    20. Adger, W. Neil & Luttrell, Cecilia, 2000. "Property rights and the utilisation of wetlands," Ecological Economics, Elsevier, vol. 35(1), pages 75-89, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:382:y:2018:i:c:p:51-62. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.