A spatial ecosystem and populations dynamics model (SEAPODYM) – Modeling of tuna and tuna-like populations

By P. Lehodey, I. Senina, Raghu Murtugudde. 2008

301 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/2a9c6836f7be2130f33224e5b8a6d61f90fca0cd

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In Ecology

In Global and Planetary Change

Citations in the corpus

Bridging the gap from ocean models to population dynamics of large marine predators: A model of mid-trophic functional groups (2010, background): “One example of coupling a fish population dynamic model to this suite of models representing ocean physics to lower and mid-trophic levels is the spatial ecosystem and populations dynamics model SEAPODYM (Lehodey et al., 2003; Lehodey et al., 2008).”
Modelling climate change impacts on marine fish populations: process-based integration of ocean warming, acidification and other environmental drivers (2016, background): “1470 Lehodey, P., Senina, I., Murtugudde, R. (2008) A spatial ecosystem and populations dynamics 1471 model (SEAPODYM) – Modeling of tuna and tuna-like populations.”
Biodiversity redistribution under climate change: Impacts on ecosystems and human well-being (2017, unknown): “Although species distribution models are commonplace, advances are needed to connect species redistribution with ecosystem integrity (104) and feedbacks between humans and the biosphere.”
Understanding what controls the spatial distribution of fish populations using a multi-model approach (2011, methodology): “Like SDMs, MAMs have sometimes been used to represent and predict the spatial distribution of fish populations (see e.g. Lehodey et al., 1998, Lehodey et al., 2008).”
Developing integrated models of Southern Ocean food webs: Including ecological complexity, accounting for uncertainty and the importance of scale (2012, unknown): “This type of linked model structure will implicitly include interaction effects that encompass a wide range of scales (e.g. Lehodey et al., 2008, 2010).”
Modelling the impact of climate change on Pacific skipjack tuna population and fisheries (2013, methodology): “To investigate them, we use the SEAPODYM (Spatial Ecosystem and Population Dynamics Model) modeling framework that describes the spatial dynamics of tuna and tuna-like species under the influence of both fishing and environmental effects (Lehodey et al. 2008).”
Comparative ecology of widely distributed pelagic fish species in the North Atlantic: Implications for modelling climate and fisheries impacts (2014, methodology): “The Spatial Ecosystem and Population Dynamics Model (SEAPODYM) which has been 23 parameterised for albacore in the South Pacific (Lehodey et al., 2008; Senina et al., 2008) 24 will be applied to the North Atlantic population.”
Projecting changes in the distribution and productivity of living marine resources: A critical review of the suite of modelling approaches used in the large European project VECTORS (2016, background): “Two Pacific examples include SEAPODYM for tuna species (Lehodey et al., 2008)”
Pushing the limits in marine species distribution modelling: lessons from the land present challenges and opportunities (2011, background): “In some spatial population dynamic models, such as the marinebased spatial ecosystem and populations dynamics model SEAPODYM, the direct effects of environment variables are modelled explicitly, as are trophic interactions (Lehodey et al., 2008).”
Modeling What We Sample and Sampling What We Model: Challenges for Zooplankton Model Assessment (2017, methodology): “…TLs such as saury and herring 3 zooplankton groups: small, large and predatory zooplankton Megrey et al., 2007 SEAPODYM (Spatial Ecosystem And Populations Dynamics Model) Impacts of fishing on Pacific tuna species 2 zooplankton groups: small and large zooplankton Lehodey et al., 2008, 2014”
From siphonophores to deep scattering layers: uncertainty ranges for the estimation of global mesopelagic fish biomass (2019, result): “…et al. , 2013), to predict the expected acoustic “views” of simulated ecosystems, e.g. Atlantis, SEAPODYM, MIZER, and size-based ecosystem models (Lehodey et al. , 2008, 2014; Fulton et al. , 2011; Trebilco et al. , 2013; Scott et al. , 2014), and to compare those predictions with actual…”
Global habitat preferences of commercially valuable tuna (2015, methodology): “Finally, coupled biophysical models such as SEAPODYM (Lehodey et al., 2008) or APECOSM (Maury, 2010) are being used to describe the spatial dynamics of tunas and can incorporate different habitat indices (e.g. spawning habitat and feeding habitat) as well as submodels for the distribution of tuna…”