1. Space-time monitoring of coastal pollution in the Gulf of Gaeta, Italy, using δ 15 N values of Ulva lactuca, landscape hydromorphology, and Bayesian Kriging modelling.
- Author
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Rossi L, Calizza E, Careddu G, Rossi D, Orlandi L, Jona-Lasinio G, Aguzzi L, and Costantini ML
- Subjects
- Bayes Theorem, Ecosystem, Italy, Seawater, Spatial Analysis, Water Pollution, Environmental Monitoring statistics & numerical data, Nitrogen Isotopes analysis, Ulva chemistry
- Abstract
We investigated the space-time dynamics of N pollution in a Mediterranean gulf (Gulf of Gaeta) by means of δ
15 N variation in seaweed fronds (Ulva lactuca) previously collected from an unpolluted habitat. We used a comprehensive deployment grid that enabled the generation of isotopic seascapes (isoseascapes) describing the topography of N pollution in coastal waters and identifying N input hotspots and their pathways of dispersion at sea. The δ15 N values of U. lactuca increased during 48h of exposure to the gulf waters, indicating anthropogenic N inputs from wastewater-derived sources. Comparison of the isoseascapes between two years differing in terms of rainfall identified coastal and offshore areas that were vulnerable to freshwater-transported nutrients, consistent with terrestrial hydromorphology and sea surface-water circulation. Isoseacapes were robust enough to reduce deployment effort, representing a powerful tool for monitoring and management strategies and useful for Environmental Protection Agencies, the main target audience of applied ecological research., (Copyright © 2017 Elsevier Ltd. All rights reserved.)- Published
- 2018
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