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N. Hoepffner, M.Clerici, and S. Djavidnia*Global Environment Monitoring Unit

EC-JRC, Ispra

The African Marine Information System: a tool for ecosystem management in coastal and

marine waters

(Monitoring Natural Resources for Development Co-operation)

( * now at European Maritime Safety Agency (EMSA), Lisbon, Portugal)

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Pressures on African marine and Coastal Systems

• Massive decline of large fish biomass during the latest 40 years along the coast of West Africa

• Deterioration of water quality around large cities (Dakar, Abidjan,…)

• Degradation of the coastal habitats (e.g. mangroves clearance in Guinea, coral reefs bleaching in Tanzania and Mozambique)

38% of the African coast are under threat

A sustainable use of the coastal and marine environment in Africa requires the development of an integrated coastal analysis and monitoring system that would provide high quality, useful information on water quality and marine resource exploitation.

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Open source web-based application that allows the provision of scientific information, by way of geo-referenced maps (created in real-time), and supplies the users with basic navigation and interrogation tools.

What is AMIS ?

AMIS is based on UMN MapServer 4.0 engine. PHP and Perl scripts are used to provide a browser/navigation mode to create maps and a query mode for basic analysis on the data

The bulk of environmental analysis in AMIS relies on Earth Observation data, as derived from optical, and infrared satellite sensors

Focus on marine waters around Africa

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AMIS Data Description

• Satellite-derived products (Bio-optical, physical)– Surface chlorophyll (mg.m-3): MODIS-A monthly , 4 km resolution– Diffuse attenuation Coefficient (K490, m-1): MODIS-A monthly, 4 km

resolution

– Sea surface temperature: MODIS-A monthly, 4 km resolution

• Modeled Data

Depth integrated primary production (gC.m-2.d-1): in-house, peer-reviewed

wavelength- and depth-resolved model implemented using satellite data

and field measurements (marine provinces) as input. Monthly products,

9 Km resolution

• Other variables– Bathymetry : GEBCO Digital Atlas 1-min grid spacing

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http://amis.jrc.ec.europa.eu/

GIS websiteSatellite derived products

Models data

Environmentalvariables

(e.g. Bathymetry)

Maps Navigation

Basic Statistics

Time-series

Threshold analysis

Multivariate analysis

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Chlorophyll March 2005

Identification of R.O.I

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Basic Statistics

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Spatial Correlation

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Time Series Analysis

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Chlorophyll May 2004

Temporal variability

May 2006

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Future Developments

• Update available data and time series• Integration of additional data sets (not only

satellite data), e.g. SeaWiFS (1998-2006), CZCS (1979-1986), MERIS (since 2004), river discharges, EEZ, FAO fishery areas….

• Introduce new features, e.g. query by transects, seasonal assessments,..

– and new products, e.g. species composition, bloom timing and magnitude anomalies,…

• Move to GeoServer technology

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Concluding remarksAMIS has been successfully implemented to support the

development and monitoring of marine environmental policies in Africa

AMIS key attributes:- deliver marine Information of interest to both the scientific community and decision-makers at regional and continental scale- The information is of high-quality, based on accurate scientific research and recent technology- The system is easily accessible and simple to use with just a browser and internet connection

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Ocean Colour Training Course 2007 Africa (24 Sept.-5 Oct., Mombasa, Kenya)

Objectives

To provide theoretical basis of satellite Ocean Colour measurements

To promote applications of OC radiometry in Africa

• for monitoring and managing coastal zones• for protecting marine ecosystems and resources

A EC-JRC contribution to FP7 policy theme 4: The EU as a Global PartnerEnvironmental Dimensions of Development co-operation

in partnership with