2006
DOI: 10.3989/scimar.2006.70s1101
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Marsh development and sea level changes in the Gernika Estuary (southern Bay of Biscay): foraminifers as tidal indicators

Abstract: SUMMARY:The ecological distribution of some species of Foraminifera living in estuaries can be used in the interpretation of former coastal lines. There is a close relationship between tide level and the distribution of particular benthic foraminifer species. A characterisation of tide levels based on the benthic foraminifers in four cores from this estuary allowed us to interpret the changes over time in transitional environments during the modern Holocene. The estuary was filled during the last 6500 years fo… Show more

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Cited by 4 publications
(1 citation statement)
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“…In the last few decades, numerous investigations have focused on the Holocene paleoenvironmental evolution of coastal areas through multidisciplinary analysis of sediment cores and seismic stratigraphy. In most cases, studying paleoenvironmental evolution involves combining sedimentological, paleontological, geochemical, isotopic and radionuclide techniques (Pascual and Rodríguez Lázaro 2006, Ercilla et al 2010, Blázquez-Morilla et al 2018. These studies are used to determine local geochemical backgrounds, with a subsequent application to detecting environmental pollution episodes caused by mining, industrial waste, urban discharges and agricultural activities (Cearreta et al 2002, Beck et al 2020).…”
Section: Introductionmentioning
confidence: 99%
“…In the last few decades, numerous investigations have focused on the Holocene paleoenvironmental evolution of coastal areas through multidisciplinary analysis of sediment cores and seismic stratigraphy. In most cases, studying paleoenvironmental evolution involves combining sedimentological, paleontological, geochemical, isotopic and radionuclide techniques (Pascual and Rodríguez Lázaro 2006, Ercilla et al 2010, Blázquez-Morilla et al 2018. These studies are used to determine local geochemical backgrounds, with a subsequent application to detecting environmental pollution episodes caused by mining, industrial waste, urban discharges and agricultural activities (Cearreta et al 2002, Beck et al 2020).…”
Section: Introductionmentioning
confidence: 99%