2019
DOI: 10.1080/10256016.2019.1666120
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Seasonal oxygen isotope variations in freshwater bivalve shells as recorders of Amazonian rivers hydrogeochemistry

Abstract: Freshwater bivalve shell oxygen isotope values (δ 18 OS) may act as a recorder of river δ 18 O variations that can then be interpreted in terms of hydrology (e.g. precipitationevaporation balance, precipitation and river discharge patterns). We investigated the potential of this proxy measured across the hinge of South American unionid shells: Anodontites elongatus collected in Peru and A. trapesialis in Brazil. The isotopic signatures were reproducible between individuals of the same species. A. trapesialis c… Show more

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Cited by 5 publications
(1 citation statement)
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“…Water sampling at various times throughout the year is clearly one direct approach, and will no doubt be necessary to address this problem. A promising alternative or complementary pathway is the use of bivalve shells (Gaillard et al, 2019) or even plants (Krems, Rajfur, Waclawek, & Klos, 2013) as sessile data loggers. Although calibration through measurements of direct water samples would also be necessary with bivalves, the sessile nature of these organisms means that separating potential metabolic influences on elemental concentrations would be far simpler than in mobile organisms.…”
Section: Improved Spatiotemporal Geochemical Datamentioning
confidence: 99%
“…Water sampling at various times throughout the year is clearly one direct approach, and will no doubt be necessary to address this problem. A promising alternative or complementary pathway is the use of bivalve shells (Gaillard et al, 2019) or even plants (Krems, Rajfur, Waclawek, & Klos, 2013) as sessile data loggers. Although calibration through measurements of direct water samples would also be necessary with bivalves, the sessile nature of these organisms means that separating potential metabolic influences on elemental concentrations would be far simpler than in mobile organisms.…”
Section: Improved Spatiotemporal Geochemical Datamentioning
confidence: 99%