Natal homing in a marine fish metapopulation.
By S. Thorrold, C. Latkoczy, P. Swart, Cynthia M. Jones. Science, 2001
709 citations recorded by the source corpus.
Subfields: Ecology, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/735b295722b4860593530e7bdd4e899709a794fe
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Citations in the corpus
- Elevated levels of trace elements in cores of otoliths and their potential for use as natural tags (2005, background): “As such, elevated otolith core concentrations of trace metals may be common in many fish species and should improve our ability to identify the cores of otoliths and ultimately use otolith chemistry as a tool to track patterns of larval retention and larval dispersal.”
- Spatial and temporal scales of adaptive divergence in marine fishes and the implications for conservation (2006, background): “The tag may be either natural (e.g. a genetic or chemical signature unique to specific parents or sites; Thorrold et al., 2001) or artificial (larvae labelled with a rare chemical; Thorrold et al.”
- OTOLITH CHEMISTRY TO DESCRIBE MOVEMENTS AND LIFE-HISTORY PARAMETERS OF FISHES : HYPOTHESES, ASSUMPTIONS, LIMITATIONS AND INFERENCES (2008, methodology): “Example: Mixed composition and natal homing of weakfish along the Atlantic coast Thorrold et al. (2001) described connectivity among groups of weakfish spawning in estuaries along the Atlantic coast of the united states using natural otolith tags. baseline elemental signatures of young-of-the-year…”
- Latitudinal shifts in coral reef fishes: why some species do and others do not shift (2014, background): “Indeed, relatively high levels of local larval retention and self-recruitment (settlement of locally spawned larvae: up to 40–60%) have been shown (Jones et al. 1999, 2005; Swearer et al. 1999, 2002; Thorrold et al. 2001; Almany et al. 2007a; Harrison et al. 2012).”
- Effect of temperature and salinity on otolith element incorporation in juvenile gray snapper Lutjanus griseus (2006, background): “Field studies have been able to use a suite of elements to assign individual fish to unique nursery habitats (Gillanders & Kingsford 1996, Thorrold et al. 1998, 2001).”
- What can genetics tell us about population connectivity? (2010, background): “Stable isotopes have been useful for assessing dispersal in species producing large numbers of propagules that cannot be individually marked (Thorrold et al. 2001; Macneale et al. 2005; Carlo et al. 2009; Williamson et al. 2009) and in species that disperse especially long distances (Kennedy et al.”
- Paradigm shifts in marine fisheries genetics: ugly hypotheses slain by beautiful facts (2008, background): “Such homing behaviour has also been reported for other fish species (Thorrold et al. 2001), although in other species, such as Pacific and Atlantic herring, homing accuracy may be lower (Hay et al.”
- Quantifying larval retention and connectivity in marine populations with artificial and natural markers (2002, methodology): “Thorrold et al. (2001) used geochemical signatures in otoliths to examine population connectivity through homing to natal estuaries of weakfish (Cynoscion regalis).”
- Non-linear genetic isolation by distance: implications for dispersal estimation in anadromous and marine fish populations (2007, background): “Several recent studies using non-genetic approaches suggest that pelagic dispersal in marine systems may be on the order of 10s to 100s of kilometers (e.g. Thorrold et al. 2001).”
- Assessing connectivity of estuarine fishes based on stable isotope ratio analysis (2005, background): “…adults, infer natal origin of estuarine-dependent species, examine the migration patterns of anadromous and catadromous species and differentiate between estuarine and coastal habitat utilization (Thorrold et al., 2001; Forrester and Swearer, 2002; Gillanders, 2002; Gillanders and Kingsford, 2003).”
- Trace elements in otoliths indicate the use of open-coast versus bay nursery habitats by juvenile California halibut (2002, background): “This procedure is robust, as long as the 2 sets of raw data have similar underlying distributions; in other words, as long as the 2 methods are free of artifacts (see also Thorrold et al. 2001).”