Community fair Introduction of the D4Science communities, their challenges and the synergies

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Community fair Introduction of the D4Science communities, their challenges and the synergies. M. Taconet (FAO) - chair L. Fusco (ESA), N. Bailly (WFC), R. Grainger (FAO). World User Meeting 25 th November 2009 Rome (Italy). www.d4science.eu. - PowerPoint PPT Presentation

Transcript of Community fair Introduction of the D4Science communities, their challenges and the synergies

Community fair

Introduction of the D4Science communities, their challenges and the synergies

M. Taconet (FAO) - chairL. Fusco (ESA), N. Bailly (WFC), R. Grainger (FAO)

World User Meeting25th November 2009

Rome (Italy)

www.d4science.eu

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Panel introduction From keynote speach to Community fair

Demands on scientific information are increasing

Source:S. Garcia, WUM

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Panel introduction Community fair - actors

Who we are, since when in this initiative, what is our role in project ?

Luigi Fusco .................................................................. ESA

Nicolas Bailly ................................................................WorldFish

Richard Grainger .......................................FAO

Marc Taconet .......................................FAO

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Panel introduction Community fair - objectives

Objectives of the community fair

Raise your awareness of concept of Virtual Research Environment (VRE) ...

... in an effort to mobilize a broad range of user communities

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Panel introduction Community fair - road map

How shall we proceed

1. this panel will explainwhich motivations brought us together which challenges we are facing which synergies we are looking for

2. a live demonstration of VREswill concretely illustrate on-going achievements

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User communities High level / strategic drivers

What are the high level / strategic drivers to our presence in this project, by ...

... ESA

... WorldFish

... FAO

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Species prediction modeling

Earth / Ocean spatial

observation

Integrated Catch Information

System

Fisheries BiodiversityOceanography/

Vegetation

Satellite imagerySpecies occurrence mapsFishing activity / Catch

Fishery Country Profiles

Fisheriescomprehensive profiles

FCPPS AquaMaps GCM GVM

Challenges, envisaged solutions and identified application scenarios

ICIS

Information challenges faced, and envisaged

responses; introduction to D4Science application scenarios

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- Global ocean chlorophyll profile necessary to understand role of phytoplankton in fisheries, biogeochemical cycling and climate change

- Sensors onboard EO satellites enable the measurement of chlorophyll concentrations in oceans and inland waters

- Chlorophyll concentration indicates the distribution and amount of phytoplankton

GCM - Global ocean Chlorophyll Monitoring

Challenges, envisaged solutions and identified application scenarios

Environmental Monitoring:

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- Integrates heterogeneous information for ocean chlorophyll monitoring

- Marine scientists, fishery experts, biologists, climatologists fall among the target audience

- Blends satellite data products (ESA’s Envisat), satellite imagery (ESA’s image archive), technical reports and documentation from ESA, EEA, UNEP

- Links to ESA’s G-POD Grid facilities to issue on-demand generation of satellite imagery and products and will serve the requirements of other User Communities

Challenges, envisaged solutions and identified application scenarios

Environmental Monitoring:

GCM - Global ocean Chlorophyll Monitoring

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GVM – Global land Vegetation Monitoring

- Vegetation type, extent, change detection is fundamental for resources management, e.g. energy and water budgets, atmospheric composition, land surface stabilization/roughness, food production, natural habitats…

- Earth images and satellite data products enable to measure and map the density of vegetation

- Global carbon cycle models require vegetative land cover data

- Study of land vegetation impact on forestry, biology, agronomy, hydrology, meteorology …

Challenges, envisaged solutions and identified application scenarios

Environmental Monitoring:

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Produced about 9,000 maps in 3 years: 7,800 marine fish species 1,200 non-fish marine species

Started freshwaters, and thoughts about terrestrial

The number of species on Earth is1 to 2 orders of magnitude higher

than expected 1970s: 1.5 million described, 3.0 million

expected 2000s: 1.8 million described, 10 (30) 100 million

expected

Business as usual: 3 million species: 1,000 years

30 million species: 10,000 years

Challenges, envisaged solutions and identified application scenarios

Aquamaps

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Research level: Compute one map under various parameter configuration Compute many times and quickly the same map. [Scientists, FishBase and SeaLifeBase Teams]

Production level: Update maps Re-compute all maps after new data or algorithm are in. [FishBase and SeaLifeBase Teams, IT Group]

Applied level: Use maps for natural resource management (exploitation & conservation) Combine maps to create the so-called Biodiversity maps (species richness). [Conservationists, Fishery Biologists, Biodiversity managers]

General dissemination level: Display of distribution maps like in naturalist field guides. [General public]

Challenges, envisaged solutions and identified application scenarios

Aquamaps

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AquaMaps potential presently hampered by the difficulty of access to existing data sources, and by the intensive nature

of the computations

Functionalities have to be developed at the level of one map creation by researchers in such a way to achieve the following goals, increasing:

Precision Accuracy Interoperability Different spatial and temporal resolution levels Prediction capability

Challenges, envisaged solutions and identified application scenarios

Aquamaps

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Integrated Capture Information System – time series a response to ...

... UNGA recommendations: FAO should provide indicators

for assessment of High Seas stocks

“distinguish catch in the High Seas from catch within EEZs”

current status

reporting by Major FAO statistical fishing areas

Challenges, envisaged solutions and identified application scenarios

ICIS – time series

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Integrated Capture Information System – time series a response to ...

... CWP recommendations: enhance quality of global catch

statistics, through

“stronger interaction of existing catch databases”

current status

non integrated data bases

Challenges, envisaged solutions and identified application scenarios

ICIS – time series

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Requirements harmonization of time series data querying, with aggregation and reallocation rules combining biodiversity information with fisheries Catch

time series spatial dimension and mapping (GIS)

x

ICIS

Fisheries

Fishing activity / Catch

Integrated Capture Information System product: harmonized and reallocated

catch statistics

Challenges, envisaged solutions and identified application scenarios

ICIS – time series

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Timeliness and relevance Efficiency – avoiding duplications,

promoting reuse Positioning the product

Challenges, envisaged solutions and identified application scenarios

Fishery Country Profiles production system

Our FCP: a very popular product

Three main issues

long history most visited information in FI

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A unique Product:

a multilingual, comprehensive, globally harmonized, introduction of fisheries and aquaculture on a country level

providing a basis for the understanding of regional and global trends affecting the fishery sector

a monitoring tool, composed of template of structured topics

including analysis of status and trends articulated with supporting database information mainstreaming major indicators of sector performance

Challenges, envisaged solutions and identified application scenarios

Fishery Country Profiles production system

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Innovative knowledge gathering and editing workflow in support to relevance, timeliness and efficiency

stimulate generation of knowledge with those who have it distribute responsibilities and promote decentralized inputs of

knowledge – importance of partnerships for information exchange capturing staff knowledge and routine workflow - importance of

annotations

ability to recycle and aggregate parts of other profilesautomatic feeds from live databases

including through partnerships with trusted data providers

support to concurrent editing, reviewing and publishing workflow will reduce publishing delays

Challenges, envisaged solutions and identified application scenarios

Fishery Country Profiles production system

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Local

Aquamaps GVMICIS

D4

Scie

nce

Fisheries Biodiversity Oceanography

Habitats Geo-forms HydrographyVulnerable Marine EcosystemsFishing activity / Catch

GIS areas - species

FAO

RFBs

Catch statistics

Reference system

Catch statistics

Reference system

Aquamaps

WFC

Species occurence

FishBase

OBIS

SealifeBase

UBC

Satelliteoceanography

ESAG-POD

end-users services

Synergies among communities

Integration of scenarios and cross-fertilization among scenarios

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Synergies among communities :

integration of user scenarios and cross-fertilization

achieving a true dialog of partnership for information sharing

identification of similar functionality – reuse across scenarios

Synergies among communities

Various facets

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Main innovative features with D4Science

- collaborative working environments- collaborative working environments

- Integrate heterogeneous data sources- Integrate heterogeneous data sources

- Interoperability - Ecosystem of infrastructure- Interoperability - Ecosystem of infrastructure

- Computing power- Computing power

- Dynamic and shared reporting- Dynamic and shared reporting

- workflow management- workflow management

Synergies among communities

Main innovative features with D4Science

Community Fair

Showcasing “Building dynamic research environments using D4Science technology”

M. Taconet (FAO) - chairA. Ellenbroek (FAO), V. Guidetti (ESA), K. Kaschner (WFC)

World User Meeting25th November 2009

Rome (Italy)

www.d4science.eu