Bioaccumulation modelling and sensitivity analysis for discovering key players in contaminated food webs: The case study of PCBs in the Adriatic Sea
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DOI: 10.1016/j.ecolmodel.2014.11.030
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- Brigolin, D. & Savenkoff, C. & Zucchetta, M. & Pranovi, F. & Franzoi, P. & Torricelli, P. & Pastres, R., 2011. "An inverse model for the analysis of the Venice lagoon food web," Ecological Modelling, Elsevier, vol. 222(14), pages 2404-2413.
- Kones, Julius K. & Soetaert, Karline & van Oevelen, Dick & Owino, John O., 2009. "Are network indices robust indicators of food web functioning? A Monte Carlo approach," Ecological Modelling, Elsevier, vol. 220(3), pages 370-382.
- Butts, Carter T., 2008. "Social Network Analysis with sna," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i06).
- Soetaert, Karline & Petzoldt, Thomas, 2010. "Inverse Modelling, Sensitivity and Monte Carlo Analysis in R Using Package FME," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i03).
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- McGill, Lillian M. & Gerig, Brandon S. & Chaloner, Dominic T. & Lamberti, Gary A., 2017. "An ecosystem model for evaluating the effects of introduced Pacific salmon on contaminant burdens of stream-resident fish," Ecological Modelling, Elsevier, vol. 355(C), pages 39-48.
- Borrett, Stuart R. & Sheble, Laura & Moody, James & Anway, Evan C., 2018. "Bibliometric review of ecological network analysis: 2010–2016," Ecological Modelling, Elsevier, vol. 382(C), pages 63-82.
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Keywords
Bioaccumulation modelling; Ecological network analysis; Sensitivity analysis; Toxic keystoneness; Linear inverse modelling; Polychlorinated biphenyls;All these keywords.
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