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2017
DOI: 10.1111/2041-210x.12851
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Radiocarbon in ecology: Insights and perspectives from aquatic and terrestrial studies

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Cited by 33 publications
(24 citation statements)
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“…One advantage of the isotope tracking method is that it can reveal migration routes of individual animals over a prolonged timescale (the timescale of bone growth). Although the spatial resolution of the method depends on the spatial scale of isotopic gradients among habitats, the use of additional isoscapes based on radiocarbon content (Larsen et al 2018) or neodymium stable isotope ratios (Saitoh et al 2018) could help enable finer‐scale determinations of fish migration routes.…”
Section: Discussionmentioning
confidence: 99%
“…One advantage of the isotope tracking method is that it can reveal migration routes of individual animals over a prolonged timescale (the timescale of bone growth). Although the spatial resolution of the method depends on the spatial scale of isotopic gradients among habitats, the use of additional isoscapes based on radiocarbon content (Larsen et al 2018) or neodymium stable isotope ratios (Saitoh et al 2018) could help enable finer‐scale determinations of fish migration routes.…”
Section: Discussionmentioning
confidence: 99%
“…In wild populations, informative priors, such as from feeding, prey abundance, or gut content observations, will improve model performance. Isotopically similar sources can also be grouped and, as in this study, additional conservative (minimally discriminated) tracers such as AA d 15 N and D 14 C added to models to increase isotopic distinction of diet differences between individuals (e.g., Larsen et al 2018). The output from uninformed, undetermined mixing models should be interpreted with great caution.…”
Section: Implications For Mixing Model Inferencesmentioning
confidence: 99%
“…The use of δ 13 C for evaluating ammocoete nutrition appears to be further confounded by factors potentially unique to ammocoetes (Evans & Bauer, 2016a). In contrast to δ 13 C, naturally occurring radiocarbon ( 14 C, as Δ 14 C) is often better at source discrimination due to its much larger dynamic range (10 2 -10 3 ‰) compared to δ 13 C and δ 15 N (at most 10-20‰) in natural systems; in addition, Δ 14 C can establish the ages of the materials used to support consumer nutrition Larsen, Yokoyama, & Fernandes, 2018). Recent work using Δ 14 C has found consumer biomass in aquatic ecosystems is supported in part, and in rare cases entirely, from highly aged plant biomass produced in the distant past (10 2 -10 4 years B.P; Guillemette, Bianchi, & Spencer, 2017).…”
mentioning
confidence: 99%