Contribution of individual-based coupled physical-biological models to understanding recruitment in marine fish populations

By T. Miller. 2007

202 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/ae03c63bcbbe800621b021e925c05c3824a43548

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. M. Peck
2. E. Houde
3. D. Siegel
4. S. Sponaugle
5. R. Simons
6. Kevin Brown
7. P. Munday
8. R. Cowen

In Oceanography

1. M. Peck
2. D. Siegel
3. R. Simons
4. Kevin Brown
5. H. Pörtner
6. P. Munday
7. S. Sponaugle
8. Marc Hufnagl

Citations in the corpus

• Modelling climate change impacts on marine fish populations: process-based integration of ocean warming, acidification and other environmental drivers (2016, methodology): “546 For Review Only IBMs have been used to investigate early life stage dynamics, connectivity between stocks 547 and environmental impact on recruitment potential of marine fish (Mullon et al., 2002, 548 Miller, 2007, Hinrichsen et al., 2011).”
• Early life history and fisheries oceanography: new questions in a changing world (2014, background): “…community, the proportional contribution and overall abundance of picophytoplankton is projected to increase with increasing temperatures (Morán et  al., 2010), so that less-efficient transfer of nutrients up the food chain would result in food webs of low nutritional quality…”
• Model sensitivity and robustness in the estimation of larval transport: A study of particle tracking parameters (2013, methodology): “Although much research has been devoted to the quantification of uncertainty in ocean circulationmodels, studies of uncertainty in biophysical models are limited (Miller, 2007).”
• Moving beyond the current paradigm in marine population connectivity: are adults the missing link? (2014, background): “The result has been the advancement of highly resolved, coupled physical–biological models (Miller 2007) that have contributed substantially to understanding patterns of population connectivity and isolation.”
• Physiological individual-based modelling of larval Atlantic herring (Clupea harengus) foraging and growth: insights on climate-driven life-history scheduling (2011, background): “…by some marine fish populations and the importance of early survival to year-class strength, biophysical individual-based models (IBMs) have become increasingly used to understand the effects of climate variability and change on marine fish early life stages (Gallego et al., 2007; Miller, 2007).”
• A Lagrangian tool for modelling ichthyoplankton dynamics (2008, background): “Many models coupling physics with ichthyoplankton dynamics have been developed (reviewed in Miller, 2007).”
• Climate change effects on fishes and fisheries: towards a cause-and-effect understanding. (2010, background): “, Miller, J. M., Riley, J. D., Giret, M. & de Clerk, R. (1992). Recruitment of sole, Solea solea (L.”
• Emerging from Hjort's Shadow (2008, background): “Most CBPMs have been developed as explanatory or inferential tools (Miller, 2007) and relatively few as tools to test hypotheses, although the biggest contribution to understanding recruitment variability ultimately may come from that approach.”
• Connectivity of lobster (Homarus americanus) populations in the coastal Gulf of Maine: part II. Coupled biophysical dynamics (2010, background): “…biophysical models that embed ‘biological’ particles into simulated model flow fields provide important insights into potential patterns of transport and connectivity in populations of marine organisms with planktonic life stages (Cowen et al., 2006; Miller, 2007; Briones-Fourzán et al., 2008).”
• A review of early life history dynamics of Barents Sea cod (Gadus morhua) (2014, background): “in the context of the hypotheses above, and may be gained from IBMs of early stages of fish coupled to ocean models (Miller, 2007).”
• Reproductive resilience: a paradigm shift in understanding spawner-recruit systems in exploited marine fish (2017, unknown): “Dispersal models are allowing us to test hypotheses about connectivity processes at these more realistic time–space scales (Paris et al. 2002, 2005; Miller 2007; Werner et al. 2007; Peck and Hufnagl 2012; Karnauskas et al. 2013; OspinaAlvarez et al. 2015), resulting in dynamics and stability propert”