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Uncovering hidden heterogeneity: Geo-statistical models illuminate the fine scale effects of boating infrastructure on sediment characteristics and contaminants.
Hedge, L H; Dafforn, K A; Simpson, S L; Johnston, E L.
Afiliación
  • Hedge LH; Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, The University of New South Wales, Sydney, Australia; Sydney Institute of Marine Science, Mosman, Australia.
  • Dafforn KA; Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, The University of New South Wales, Sydney, Australia; Sydney Institute of Marine Science, Mosman, Australia. Electronic address: k.dafforn@unsw.edu.au.
  • Simpson SL; Centre for Environmental Contaminants Research, CSIRO Land and Water, Sydney, Australia.
  • Johnston EL; Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, The University of New South Wales, Sydney, Australia; Sydney Institute of Marine Science, Mosman, Australia.
Mar Pollut Bull ; 119(2): 143-150, 2017 Jun 30.
Article en En | MEDLINE | ID: mdl-28473209
ABSTRACT
Infrastructure associated with coastal communities is likely to not only directly displace natural systems, but also leave environmental footprints' that stretch over multiple scales. Some coastal infrastructure will, there- fore, generate a hidden layer of habitat heterogeneity in sediment systems that is not immediately observable in classical impact assessment frameworks. We examine the hidden heterogeneity associated with one of the most ubiquitous coastal modifications; dense swing moorings fields. Using a model based geo-statistical framework we highlight the variation in sedimentology throughout mooring fields and reference locations. Moorings were correlated with patches of sediment with larger particle sizes, and associated metal(loid) concentrations in these patches were depressed. Our work highlights two important ideas i) mooring fields create a mosaic of habitat in which contamination decreases and grain sizes increase close to moorings, and ii) model- based frameworks provide an information rich, easy-to-interpret way to communicate complex analyses to stakeholders.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Modelos Estadísticos / Sedimentos Geológicos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Mar Pollut Bull Año: 2017 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Modelos Estadísticos / Sedimentos Geológicos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Mar Pollut Bull Año: 2017 Tipo del documento: Article