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Impact model: FEISTY

Sector
Fisheries (global)
Region
global

FEISTY is a temporally dynamic, spatially explicit, mechanistic model of size-structured forage, large pelagic, and demersal fish functional types and an unstructured benthic invertebrate biomass pool. Fish functional types are defined by their maximum size, habitat, and prey preference. Key references are Petrik et al. 2019, 2020.

Information for the model FEISTY is provided for the simulation rounds shown in the tabs below. Click on the appropriate tab to get the information for the simulation round you are interested in.

Person responsible for model simulations in this simulation round
Colleen M. Petrik: cpetrik@ucsd.edu, 0000-0003-3253-0455, University of California San Diego (USA)
Additional persons involved: Stock C, Andersen K, van Denderen P
Output Data
Experiments: picontrol_nat_default, ssp126_nat_default, historical_nat_default, ssp585_nat_default
Climate Drivers: GFDL-ESM4, IPSL-CM6A-LR
Date: 2021-08-11
Basic information
Model Version: FEISTY-Basic
Model Output License: CC0
Simulation Round Specific Description: The structure of FEISTY used for this simulation rounds is the same as the "FEISTY-Basic" setup described in Petrik et al. (2019). There are two deviations. (1) Input forcing was only available for one mesozooplankton group, thus the sizes/stages that fed on small mesozooplankton and large mesozooplankton both feed on the one mesozooplankton with altered prey preferences from Petrik et al. (2019). (2) Input forcing did not include higher predator mortality loss rates for mesozooplankton. Instead, an empirical function of mesozooplankton biomass and temperature were used to compute this term.
Reference Paper: Main Reference: Petrik C, Stock C, Andersen K, van Denderen P, Watson J et al. Bottom-up drivers of global patterns of demersal, forage, and pelagic fishes. Progress in Oceanography,176,102124,2019
Reference Paper: Other References:
Resolution
Spatial aggregation: regular grid
Temporal resolution of input data: climate variables: monthly
Temporal resolution of input data: co2: annual
Temporal resolution of input data: land use/land cover: annual
Temporal resolution of input data: soil: constant
Input data
Simulated atmospheric climate data sets used: IPSL-CM6A-LR (ocean), GFDL-ESM4 (ocean)
Spin-up
Was a spin-up performed?: Yes
Spin-up design: Spin-up by using the pre-industrial control data and CO2 concentration from 1850-1949 with no fishing.
 
Spatial scale: Regular 1 degree grid
Spatial resolution: Regular 1 degree grid
Temporal scale: Monthly
Temporal resolution: Monthly
Taxonomic scope: Forage fish, large pelagic fish, demersal fish, benthic invertebrates
Vertical resolution: 2D Upper pelagic (0-100 m) and 2D Seafloor
Spatial dispersal included: No
Is fishbase used for mass-length conversion?: No
Person responsible for model simulations in this simulation round
Colleen M. Petrik: cpetrik@ucsd.edu, 0000-0003-3253-0455, University of California San Diego (USA)
Additional persons involved: Colleen Petrik, Ken H. Andersen, Charles Stock, P. Daniel van Denderen
Output Data
Experiments: (*) obsclim_histsoc_1955-riverine-input, obsclim_nat_default, obsclim_nat_1955-riverine-input, obsclim_histsoc_60arcmin, obsclim_histsoc_default
Climate Drivers: GFDL-MOM6-COBALT2
Date: 2023-03-31
Basic information
Model Version: FEISTY-Basic
Model Output License: CC BY 4.0
Simulation Round Specific Description: The structure of FEISTY used for this simulation rounds is the same as the "FEISTY-Basic" setup described in Petrik et al. (2019). There are two deviations. (1) Input forcing was only available for one mesozooplankton group, thus the sizes/stages that fed on small mesozooplankton and large mesozooplankton both feed on the one mesozooplankton with altered prey preferences from Petrik et al. (2019). (2) Input forcing did not include higher predator mortality loss rates for mesozooplankton. Instead, an empirical function of mesozooplankton biomass and temperature were used to compute this term.
Reference Paper: Main Reference: Petrik C, Stock C, Andersen K, van Denderen P, Watson J et al. Bottom-up drivers of global patterns of demersal, forage, and pelagic fishes. Progress in Oceanography,176,102124,2019
Resolution
Spatial aggregation: regular grid
Horizontal resolution: 0.25 x 0.25
Vertically resolved: Yes
Number of vertical layers: Two: upper pelagic and seafloor
Temporal resolution of input data: climate variables: monthly
Additional temporal resolution information: Monthly outputs were interpolated to daily.
Input data
Observed atmospheric climate data sets used: GFDL-MOM6-COBALT2 (ocean)
Additional information about input variables: Vertically resolved temperature, vertically resolved mesozooplankton biomass, flux of particulate organic matter to the seafloor, ocean depth.
Spin-up
Was a spin-up performed?: Yes
Spin-up design: Run for 150 years with repeating the 20-yr cycle of climate forcing and the first year of fishing effort.
 
Defining features: Size and functional type based. Resolves life cycle transitions. No stock-recruitment relationship. Represents pelagic and benthic fish types. Forced by secondary production instead of primary.
Spatial scale: Runs on any grid. Here were used 0.25 degree and 1 degree regular grids.
Spatial resolution: Runs on any grid. Here were used 0.25 degree and 1 degree regular grids.
Temporal scale: Runs on a daily time step. Output is monthly mean.
Temporal resolution: Runs on a daily time step. Output is monthly mean.
Taxonomic scope: Three functional types: Small pelagic (forage) fish, Large pelagic fish, Demersal fish
Vertical resolution: Two layers: upper pelagic and seafloor
Spatial dispersal included: No
Is fishbase used for mass-length conversion?: No




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