SIMSEA - Agent Based Modelling and Simulation for Conservation and Resource Management in Azorean Seamount

 

PROJECT TITLE

SIMSEA - Agent Based Modelling and Simulation for Conservation and Resource Management in Azorean Seamount

PROJECT CODE

ACORES-01-0145-FEDER-000049

MAIN GOAL

The goal of this project is to create scenarios for different options for conservation and management of marine ecosystem using ABMS, that is

1) to use ABMS to create geo-referenced models, aggregating data from different databases, including SIG-MAR-AÇORES data platform;

2) to create different scenarios for conservation and management of marine ecosystems;

3) to assess the software tool, jointly with researchers and stakeholders.

BENEFICIARIES: Fundação Gaspar Frutuoso, FP

TOTAL AMOUNT: 65 251.60€

EUROPEAN UNION FINANCIAL SUPORT: 55 463.86€

DESCRIPTION

This project relies on a multi-disciplinary team to tackle the management and conservation of seamount resources problems, capturing different aspects and the dynamics of seamount ecosystem by using agent-based modelling simulation (ABMS) software tools, a specialization of Artificial Intelligent Multi-Agent Systems research area. Using the already available data on Azorean seamounts, with a focus on Condor seamount, an area which has been the target in the last years of intensive scientific studies, and is currently closed to bottom fisheries, it is expected to create models for the marine ecosystem and for the socio-economic component to feed the ABMS software tool with scenarios for different management and conservative options.

RESULTS

SIMSEA will contribute to build a tool to help to the decision-making process. The societal challenges concerning resources management demands efficacy with respect to policies followed. SIMSEA is an attempt to provide an innovative way of analysing the data and to provide new insights to the resource management, involving stakeholders and a multidisciplinary approach. The prototypes produced can provide new insights concerning data collected in the Azorean sea. As a result of this, new strategies to deal with the resources depleting can be envisaged. Finally, the participation of stakeholders in the validation of the modelling process can contribute to the knowledge elicitation through the discussion of the scenarios produced and their results, providing insights about the way stakeholders see the problems and what solutions they are willing to accept.

PHOTOS