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