Implementation of an end-to-end coupled model including small pelagic fish in the Canary Current Upwelling System
Abstract
Eastern Boundary Current Upwelling Systems are extraordinary productive regions of the World Ocean that are essential to the world’s fisheries. These upwelling ecosystems are subject to substantial variability ranging from few days to decades, and are sensitive to the expected climate change via modification of the global wind patterns. Due to their broad biological and commercial relevance, understanding the source of fluctuations and the likely climate drift of these regions is of major interest. Here we present progresses in the implementation of an end-to-end biophysical coupled model including pelagic fish in the Canary Current upwelling ecosystem. With this model approach we aim at getting new insights into how the physics, biochemistry and biology combine to give rise to the observed variability.
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José C. Sánchez-Garrido Universidad de Málaga Cisco Werner Southwest Fisheries Science Center Implementation of an end-to-end coupled model including small pelagic fish in the Canary Current Upwelling System Workshop on Biophysical Models of Eastern Boundary Currents Upwelling Systems Las Palmas de Gran Canarias, 17 de Febrero de 2016
Outline •Origin of the initiative •Similar works in the California Current •The circulation model •Biochemistry and Fish IBM model •Current situation
Previous interest in multidisciplinary works in my usual region of study
Visit NOAA Fisheries with the aim to incorporate a higher trophic level in the Alboran…
or the Canary Current Upwelling System too… - Greater interest of Eastern Boundary Currents - Models already applied to the California Current
Hypotheses for low-frequency variability •Environmental conditions (bottom up) –Temperature controls population expansions and contractions via spawning behavior (e.g., Lluch-Belda et al., 1991). –Reproduction success linked to mesoscale features (MacCall, 2002). –Food availability and composition determines population success (e.g., Van der Lingen et al. 2001). •Fishing pressure (top down) –Affects longevity--affects survival in adverse conditions. –Differentially preserve more fecund older fish and their migratory behavior. –Productivity depends on learned migratory behavior (Petigas et al. 2006).
Approach: coupled climate-to-fishers model
Mean (1964-2008) abundance by life stage (log10 of individuals); Anchovy (top) and sardine (bot.) Eggs & YSac Larvae Juveniles Adults Sardine Anchovy Rose et al. and Fiechter et al., Progress in Oceanography, 2015
Population biomass fluctuations (seemingly) captured (shows encouraging resemblance to observations) Anchovy Sardine Biomass Anomaly (10^3 mt) Rose et al. and Fiechter et al., Progress in Oceanography, 2015 A rather complex set of models including a wide range of processes were put together, with biological/physiological traits, and results of two species emerged showing differen ces at various scales, e.g., anchovy at higher frequency, decadal variability in both …
… returning to the Canary Current System: circulation model based in ROMS -Hindcast simulation of 1958-2007 -Model resolution of Δx=Δy=12 km; with 38 σ-levels in the vertical. -Atmospheric and lateral boundary forcing from reanalysis (same products as in the California Current). SST Sal. @ -1000 m
NEMURO biochemistry model diatoms nanophy. NO3 -Two phytoplankton types -Two limiting nutrients (Si & NO3) -Three zooplankton types: large, small, and predatory
Fish model: -Multi-species , with individual based modeling approach (IBM) - Species can compete for common prey and eat each other. -Explicit model growth, mortality, reproduction and movement. - One species can represent a fishing fleet as individuals.
Bunch of parameters to model fish bioenergetics and behaviour
Current situation: • Physical model is ready • Biochemistry model is ready too, but, suitable for the CANC? • We need to work on the Fish model. Species? Parameters? • Need to be more specific regarding research questions • Possibility to apply for a project (jóvenes investigadores)