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A comparative analysis of three habitat suitability models for commercial yield estimation of Tapes philippinarum in a North Adriatic coastal lagoon (Sacca di Goro, Italy)
Vincenzi, S.; Caramori, G.; Rossi, R.; De Leo, G.A. (2007). A comparative analysis of three habitat suitability models for commercial yield estimation of Tapes philippinarum in a North Adriatic coastal lagoon (Sacca di Goro, Italy). Mar. Pollut. Bull. 55(10-12): 579-590. https://dx.doi.org/10.1016/j.marpolbul.2007.09.016
In: Marine Pollution Bulletin. Macmillan: London. ISSN 0025-326X; e-ISSN 1879-3363, more
Also appears in:
Zonta, R.; Guerzoni, S.; De Jonge, V.N.; Pérez-Ruzafa, A. (Ed.) (2007). Measuring and managing changes in estuaries and lagoons. Marine Pollution Bulletin, 55(Spec. Issue 10-12). Elsevier: Amsterdam. 403-602 pp., more
Peer reviewed article  
Available in  Authors 
Keywords
    Habitat selection
    Tapes (Ruditapes) philippinarum (A. Adams & Reeve, 1850) [WoRMS]
    MED, Adriatic Sea [Marine Regions]
    Marine/Coastal
Authors  Top 
  • Vincenzi, S.
  • Caramori, G.
  • Rossi, R.
  • De Leo, G.A.
Abstract
    Habitat Suitability (HS) models have been extensively used by conservation planners to estimate the spatial distribution of threatened species and of species of commercial interest. In this work we compare three HS models for the estimation of commercial yield potential and the identification of suitable sites for Tapes philippinarum rearing in the Sacca di Goro lagoon (Italy) on the basis of six environmental factors. The habitat suitability index (HSI) is based on expert opinion while the habitat suitability conditional (HSC) is calibrated on observational data. The habitat suitability mixed (HSM) model is a two-part model combining expert knowledge and regression analysis: the first component of the model uses logistic regression to identify the areas in which clams are likely to be present; the second part applies the same parameter-specific suitability functions of the HSI model only in the areas previously identified as productive by the logistic component. The HS models were validated on an independent data set and estimates of potential yield of the Goro lagoon were compared. The effectiveness of the three approaches is then discussed in terms of predicted yield and identification of suitable sites for farming.
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