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Making ecosystem modelling operational - selected EcoOcean output

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posted on 2023-11-22, 16:55 authored by Jeroen SteenbeekJeroen Steenbeek

Marine Ecosystem Models (MEMs) are increasingly driven with Earth System Models (ESMs) to better understand marine ecosystem dynamics, and to analyse the effects of alternative management efforts for marine ecosystems under potential scenarios of climate change. However, policy and commercial activities typically occur on seasonal-to-decadal time scales, a time span widely used in the global climate modelling community but where the skill level assessments of MEMs are in their infancy. This is mostly due to technical hurdles that prevent the global MEM community from performing large ensemble simulations with which to undergo systematic skill assessments. Here, we developed a novel distributed execution framework constructed of low-tech and freely available technologies to enable the systematic execution and analysis of linked ESM / MEM prediction ensembles. We apply this framework on the seasonal-to-decadal time scale, and assess how retrospective forecast uncertainty in an ensemble of initialised decadal Earth System Model predictions affects a mechanistic and spatiotemporal explicit global MEM. Our results indicate that ESM internal variability has a relatively low impact on the MEM variability in comparison to the broad assumptions related to reconstructed fisheries. We also observe that the results are also sensitive to the ESM specificities. Our case study warrants further systematic explorations to disentangle the impacts of climate change, fisheries scenarios, MEM internal ecological hypotheses, and ESM variability. Most importantly, our case study demonstrates that a simple and free distributed execution framework has the potential to empower any modelling group with the fundamental capabilities to operationalize marine ecosystem modelling.

This data set constitutes the selected output for 385 EcoOcean executions, when driven by two ESMs, for fished and non-fished oceans, aggregated as ttime series across FAO sub-oceans and FAO statistical areas. Only focus data used in the manuscript - functional groups 1-6 (small, med and large pelagics, and small, med and large demersals) and the Atlantic zones - are included here

Funding

EcoScope - Ecocentric management for sustainable fisheries and healthy marine ecosystems (DTA.AD002.668)

National Research Council

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ACTNOW - Project Number 101060072 - Horizon-CL6-2021-BIODIV-01

UK Research and Innovation

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Tropical and South Atlantic climate-based marine ecosystem predictions for sustainable management

European Commission

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PID2020-118097RB-I00 ProOceans

Severo Ochoa Centre of Excellence accreditation (CEX2019-000928-S)

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