Impact model: Macroecological

A static equilibrium model, which uses ecological and metabolic scaling theory to predict mean size composition and abundance of animals (including fish). The model provides a simple size-based characterisation of marine ecosystems. Relies on estimates of predator-prey mass ratios, transfer efficiency and changing metabolic demands with body mass and temperature to predict body mass distributions and abundance of marine consumers from phytoplankton primary production and environmental temperature. The model ignores non-phytoplankton production and animal movement. The model is typically applied at scales from 0.5 degree grids to large marine ecosystems; forced with annual or monthly mean environmental variables. Strengths and weaknesses of this modelling approach are summarised in Jennings and Collingridge (2015) and papers cited therein. Macroecological (Jennings) is one of the 6 global models following the ISIMIP2a protocol which form the base of simulations for the ISIMIP2a global fisheries & marine ecosystems sector outputs; for a full technical description of the ISIMIP2a Simulation Data from Fisheries & Marine Ecosystems (Fish-MIP; global) Sector, see this DOI link: http://doi.org/10.5880/PIK.2018.005

Sector
Fisheries (global)
Region
global
Contact Person
  • Simon Jennings (simon.jennings@ices.dk), International Council for the Exploration of the Sea (ICES), Denmark / Centre for Environment, Fisheries and Aquaculture Science, Lowestoft, UK (Denmark)

Information for the model Macroecological 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.

Basic information
Model Version: v1.0 (as described in Jennings and Collingridge, 2015)
Output Data
Experiments: reana, scen
Climate Drivers: GFDL-ESM2M (ocean), GFDL-reanalysis (ocean), IPSL-CM5A-LR (ocean)
Date: 2017-01-20
Resolution
Spatial Aggregation: regular grid
Additional Spatial Aggregation & Resolution Information: FISH-MIP simulations were run on a 1° x 1° grid
Temporal Resolution Of Input Data: Climate Variables: annual
Input data sets used
Simulated Ocean Climate Data Sets Used: GFDL-reanalysis (ocean)
Spin-up
Was A Spin-Up Performed?: No
Management & Adaptation Measures
Management: Assumed no fishing impacts