The pelagic ecosystem of the tropical Pacific Ocean: dynamic spatial modelling and biological consequences of ENSO

By P. Lehodey. 2001

153 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/4b8bfb3bbb69c9ed787ad391290bee028dc03da5

How researchers see this paper

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

In Ecology

1. I. Senina
2. K. Brander
3. A. Hobday
4. S. Nicol
5. B. Calmettes
6. J. Hampton
7. Raghu Murtugudde
8. P. Lehodey

In Global and Planetary Change

1. I. Senina
2. Raghu Murtugudde
3. P. Lehodey
4. S. Nicol
5. B. Calmettes
6. J. Hampton
7. A. Hobday
8. K. Brander

Citations in the corpus

• Near real‐time spatial management based on habitat predictions for a longline bycatch species (2006, background): “Forecasts of habitat distribution cannot be made using real-time observations alone, but might rely on statistical descriptions of expected habitat distribution (Lehodey 2001) or ocean forecast models.”
• Modelling the impact of climate change on Pacific skipjack tuna population and fisheries (2013, background): “For instance, the El Niño Southern Oscillation (ENSO), known to change drastically the oceanic conditions of the tropical Pacific Ocean, strongly affects migration, abundance and catches of tuna (Lehodey et al. 1997; Lehodey 2001; Senina et al. 2008).”
• Bridging the gap from ocean models to population dynamics of large marine predators: A model of mid-trophic functional groups (2010, methodology): “%) is t max = À1/k Ln(x) + t r (Lehodey, 2001).”
• A spatial ecosystem and populations dynamics model (SEAPODYM) – Modeling of tuna and tuna-like populations (2008, background): “Since its early development in 1995, SEAPODYM has been continuously enhanced to provide a general framework allowing integration of the biological and ecological knowledge of tuna species, and potentially other oceanic top-predator species, within a comprehensive description of the pelagic ecosystem”
• Climate change and Australian marine life (2007, background): “The strength of the Leeuwin Current is highly correlated with ENSO and in El Niño years when the current is weak, rock lobster recruitment is also weak (Caputi et al. 2001).”
• Impacts of climate change on fisheries (2010, background): “, 2004), plankton in the North Atlantic (Edwards and Richardson, 2004; Richardson and Schoeman, 2004), tropical tuna (Lehodey, 2001; Lehodeyet al., 2003), sardine and anchovy in Eastern Boundary currents (Jacobson et al.”
• Parameter estimation for basin-scale ecosystem-linked population models of large pelagic predators: Application to skipjack tuna (2008, methodology): “The SEAPODYM model was specifically developed for investigating tuna spatial dynamics linked to the ocean ecosystem (see Bertignac et al., 1998; Lehodey, 2001, 2004a,b; Lehodey et al., 2003).”