Importance of spawning location and timing to successful transport to nursery areas: a simulation study of Gulf of Alaska walleye pollock

By S. Hinckley, Albert J. Hermann, Kathy Mier, B. Megrey. 2001

90 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/201c2f66cba65d082424fef56f54ab52e17c8be3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. C. Möllmann
2. F. Köster
3. G. Kornilovs
4. H. Hinrichsen
5. Rüdiger Voss
6. C. Jørgensen
7. Ø. Fiksen
8. Frode Vikebø

In Nature and Landscape Conservation

1. C. Möllmann
2. F. Köster
3. C. Jørgensen
4. Rüdiger Voss
5. H. Hinrichsen
6. Ø. Fiksen
7. Frode Vikebø
8. Elizabeth W. North

In Oceanography

1. F. Köster
2. C. Möllmann
3. G. Kornilovs
4. H. Hinrichsen
5. Frode Vikebø
6. R. Hood
7. Ø. Fiksen
8. T. Kristiansen

Citations in the corpus

• Biophysical modeling of larval Baltic cod (Gadus morhua) growth and survival (2002, background): “The coupling of a circulation model with trophodynamic relationships of larval fish can be utilized to examine starvation mortality and growth rates at the level of individual larvae as well as estimating larval losses from the system (e.g., Rose et al. 1993; Hinckley et al. 2001).”
• Drift, growth, and survival of larval Northeast Arctic cod with simple rules of behaviour (2007, background): “The drift trajectories of eggs and larval fish depend on (1) the time and place of spawning (Hinckley et al. 2001, Mullon et al. 2002, Huggett et al. 2003) and (2) the complex interaction between ocean circulation and individual behaviour throughout ontogeny (Hinckley et al. 1996, Werner et al.…”
• Using a random displacement model to simulate turbulent particle motion in a baroclinic frontal zone: A new implementation scheme and model performance tests (2006, methodology): “Lagrangian particle-tracking models coupled with hydrodynamic models have been used successfully to understand the influence of physical conditions on dispersal, growth, and survival of planktonic organisms (Werner et al., 1996; Hannah et al., 1998; Heath and Gallego, 1998; Hare et al., 1999; Hood e”
• Emerging from Hjort's Shadow (2008, background): “…(e.g., NPZ) and larval dynamics (e.g., often Individual-Based Models) emerged and demonstrated how variability in recruitment could be generated (Hinckley et al., 1996, 2001; Heath and Gallego, 1998; Brickman et al., 2001; Hermann et al., 2001; Werner et al., 2001; Mullon et al., 2002; Bartsch…”