Variable uptake and elimination of stable nitrogen isotopes between tissues in fish

By M. MacNeil, K. Drouillard, A. Fisk. 2006

239 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/b96c6179c7ff50b79ff3a431c7f971e1dbac17d2

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Citations in the corpus

Tissue-specific turnover rates of the nitrogen stable isotope as functions of time and growth in a cyprinid fish (2018, background): “tial isotopic routing and amino-acid effects, and these processes may operate differently during isotopic uptake and elimination (MacNeil et al., 2006).”
Stable isotope dynamics in elasmobranch fishes (2010, background): “In skate muscle, the absence of any detectable starvation effects is likely due to its slow isotopic turnover rate (MacNeil et al., 2006) as less metabolically active tissues should have slower response rates (Hobson et al.”
Long-term movement patterns and trophic ecology of blacktip reef sharks (Carcharhinus melanopterus) at Palmyra Atoll (2010, background): “However, elasmobranch muscle tissue has slow turnover rates, and should be fairly stable over the scale of months to years, and sharks from eastern and western lagoons were sampled at the same time, so these should not greatly affect the observed relationships (Post, 2002;MacNeil et al., 2006).”
Nursery habitat use and foraging ecology of the brown stingray Dasyatis lata determined from stomach contents, bulk and amino acid stable isotopes (2011, unknown): “…in TEFs owing to variables such as species, tissue type, diet, environment, method of excretion and biochemical composition (Pinnegar & Polunin 1999, Vander Zanden & Rasmussen 2001, McCutchan et al. 2003, Vanderklift & Ponsard 2003, MacNeil et al. 2006, Barnes et al. 2007, Caut et al. 2009).”
Turnover and fractionation of carbon and nitrogen stable isotopes in tissues of a migratory coastal predator, summer flounder (Paralichthys dentatus) (2010, background): “Other studies of fishes support our findings of faster liver and blood turnover relative to muscle (e.g., Suzuki et al. 2005; Logan et al. 2006; MacNeil et al. 2006; Table 6).”
Dietary Niche Overlap in a Nearshore Elasmobranch Mesopredator Community (2011, unknown): “…for isotopic analysis should turn over at a slower rate compared to more metabolically active tissues such as blood or muscle, which turn over slowly in elasmobranchs (0.0083 and 0.0041 d–1, respectively; MacNeil et al. 2006) and therefore represent a long-term average of assimilated materials.”
Stable isotope analysis as a tool for elasmobranch conservation research: a primer for non-specialists (2012, background): “For example, dN turnover rates for ocellate stingrays were calculated to be 265 days for blood and 422 days for muscle (MacNeil et al. 2006), but were calculated to be 220 days for blood and 340 days for muscle in sandbar sharks (Logan and Lutcavage 2010a).”
Stable isotopes from multiple tissues reveal diet switching in sharks (2005, background): “The consistency in δ15N among blue shark tissues agrees with stomach content conclusions that this species is a generalist predator (Cortés 1999, Henderson et al. 2001, McClelland et al. 2003), and suggests that the fish were near δ15N steady-state with a consistently heterogeneous diet.”
Stable isotopic evidence for trophic groupings and bio-regionalization of predators and their prey in oceanic waters off eastern Australia (2009, background): “However, results must be interpreted with caution as trophic enrichment is variable, even between individuals of the same species (DeNiro and Epstein 1981) which may well be due to ontogenetic shifts with age and/or size (Young et al. 2006; Sara and Sara 2007) and between tissue types of the same in”
Communal or competitive? Stable isotope analysis provides evidence of resource partitioning within a communal shark nursery (2011, background): “…et al. 2005); (2) isotopic values represent long-term feeding behaviours (from months to years depending on the tissue analyzed) (Domi et al. 2005, MacNeil et al. 2005, 2006); (3) sampling multiple tissues can provide distinct timeframes due to differences in tissue turnover rates (Kurle & Worthy…”