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MEGAFAUNA SIGNED

Detecting, Predicting and Protecting Pelagic Megafauna Hotspots in the Coral Sea

Total Cost €

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EC-Contrib. €

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Partnership

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 MEGAFAUNA project word cloud

Explore the words cloud of the MEGAFAUNA project. It provides you a very rough idea of what is the project "MEGAFAUNA" about.

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Project "MEGAFAUNA" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITE DE MONTPELLIER 

Organization address
address: 163 RUE AUGUSTE BROUSSONNET
city: MONTPELLIER
postcode: 34090
website: www.umontpellier.fr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Total cost 196˙707 €
 EC max contribution 196˙707 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-RI
 Starting year 2020
 Duration (year-month-day) from 2020-02-01   to  2022-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITE DE MONTPELLIER FR (MONTPELLIER) coordinator 196˙707.00

Map

 Project objective

The EU faces the challenge to protect pelagic biodiversity over immense Overseas Countries and Territories. However, cost-efficient, safe and reproducible methods are still missing for assessing the diversity and abundance of pelagic megafauna (marine mammals, sea turtles and sharks). We will adapt image-based surveys and deep learning—a new method based on artificial intelligence—to pelagic megafauna. A Coral Sea Nature Park (CSNP) was recently created in New Caledonia Overseas Territory but this area still lacks reserves in pelagic ecosystems. We will propose a reserve network that optimises the trade-off between critical habitat protection of pelagic megafauna and fisheries economic profitability in this area. This network will directly advise decision makers of the CSNP and help fulfil IUCN target of 30% of oceans protected by reserves by 2030. Our objectives are: RO1—Detect pelagic megafauna, RO2—Predict pelagic megafauna hotspots, and RO3—Protect hotspots in the Coral Sea. To reach RO1, image-based surveys will be conducted and megafauna will be automatically detected on images using deep learning. To reach RO2, habitat models will be used to predict megafauna diversity and abundance as a function of environmental variables. To reach RO3, fisheries economic data will be incorporated to propose a reserve network optimising both conservation and economic needs. This project will be jointly hosted by the Marine Biodiversity Exploitation and Conservation Laboratory (MARBEC) and the Montpellier Laboratory of Informatics, Robotics, and Microelectronics (LIRMM), both part of the University of Montpellier. Supervised by D. Mouillot (MARBEC) and M. Chaumont (LIRMM), I will receive the best appropriate interdisciplinary training. After an enriching research experience in the U.S, I aim to integrate a long-term research position in Europe. This fellowship would be a superb opportunity to develop an independent and innovative research project in marine numerical ecology.

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The information about "MEGAFAUNA" are provided by the European Opendata Portal: CORDIS opendata.

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