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Combining literature-based and data-driven fuzzy models to predict brown trout (Salmo trutta L.) spawning habitat degradation induced by climate change

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  • Muñoz-Mas, Rafael
  • Marcos-Garcia, Patricia
  • Lopez-Nicolas, Antonio
  • Martínez-García, Francisco J.
  • Pulido-Velazquez, Manuel
  • Martínez-Capel, Francisco

Abstract

A fuzzy rule-based system combining empirical data on hydraulic preferences and literature information on temperature requirements was used to foresee the brown trout (Salmo trutta L.) spawning habitat degradation induced by climate change. The climatic scenarios for the Cabriel River (Eastern Iberian Peninsula) corresponded to two Representative Concentration Pathways (4.5 and 8.5) for the short (2011–2040) and mid (2041–2070) term horizons. The hydraulic and hydrologic modelling were undertaken with process-based numerical models (i.e., River2D© and HBV-light) while the water temperature was modelled by assembling the predictions of three machine learning techniques (M5, Multi-Adaptive Regression Splines and Support Vector Regression). The predicted rise in the water temperature will not be compensated by the more benign lower flows. Consequently, the suitable spawning habitat will be reduced between 15.4–48.7%. The entire population shall suffer the effects of climate change and will probably be extirpated from the downstream segments of the river.

Suggested Citation

  • Muñoz-Mas, Rafael & Marcos-Garcia, Patricia & Lopez-Nicolas, Antonio & Martínez-García, Francisco J. & Pulido-Velazquez, Manuel & Martínez-Capel, Francisco, 2018. "Combining literature-based and data-driven fuzzy models to predict brown trout (Salmo trutta L.) spawning habitat degradation induced by climate change," Ecological Modelling, Elsevier, vol. 386(C), pages 98-114.
    • Handle: RePEc:eee:ecomod:v:386:y:2018:i:c:p:98-114
    DOI: 10.1016/j.ecolmodel.2018.08.012
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    1. Mouton, Ans M. & Schneider, Matthias & Peter, Armin & Holzer, Georg & Müller, Rudolf & Goethals, Peter L.M. & De Pauw, Niels, 2008. "Optimisation of a fuzzy physical habitat model for spawning European grayling (Thymallus thymallus L.) in the Aare river (Thun, Switzerland)," Ecological Modelling, Elsevier, vol. 215(1), pages 122-132.
    2. Allison Thomson & Katherine Calvin & Steven Smith & G. Kyle & April Volke & Pralit Patel & Sabrina Delgado-Arias & Ben Bond-Lamberty & Marshall Wise & Leon Clarke & James Edmonds, 2011. "RCP4.5: a pathway for stabilization of radiative forcing by 2100," Climatic Change, Springer, vol. 109(1), pages 77-94, November.
    3. Mullen, Katharine M. & Ardia, David & Gil, David L. & Windover, Donald & Cline, James, 2011. "DEoptim: An R Package for Global Optimization by Differential Evolution," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i06).
    4. Christoph Hauer & Günther Unfer & Hubert Holzmann & Stefan Schmutz & Helmut Habersack, 2013. "The impact of discharge change on physical instream habitats and its response to river morphology," Climatic Change, Springer, vol. 116(3), pages 827-850, February.
    5. Jamie Sanderson & Sardar M. N. Islam, 2007. "Climate Change and Economic Development," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-59012-0, September.
    6. Muñoz-Mas, Rafael & Vezza, Paolo & Alcaraz-Hernández, Juan Diego & Martínez-Capel, Francisco, 2016. "Risk of invasion predicted with support vector machines: A case study on northern pike (Esox Lucius, L.) and bleak (Alburnus alburnus, L.)," Ecological Modelling, Elsevier, vol. 342(C), pages 123-134.
    7. Mouton, Ans M. & De Baets, Bernard & Goethals, Peter L.M., 2010. "Ecological relevance of performance criteria for species distribution models," Ecological Modelling, Elsevier, vol. 221(16), pages 1995-2002.
    8. Austin, Mike, 2007. "Species distribution models and ecological theory: A critical assessment and some possible new approaches," Ecological Modelling, Elsevier, vol. 200(1), pages 1-19.
    9. Oecd, 2009. "Climate Change and Africa," OECD Journal: General Papers, OECD Publishing, vol. 2009(1), pages 5-35.
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    More about this item

    Keywords

    Differential evolution; HBV-light; M5; Multi-Adaptive Regression Splines; Support Vector Regression; Takagi-Sugeno-Kang fuzzy rule-based system;
    All these keywords.

    JEL classification:

    • M5 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics

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