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

Panel introduction From keynote speach to Community fair • Demands on scientific information are increasing Source: S. Garcia, WUM

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

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

Panel introduction Community fair - road map • How shall we proceed 1. this panel will explain • which motivations brought us together • which challenges we are facing • which synergies we are looking for 2. a live demonstration of VREs • will concretely illustrate on-going achievements

User communitiesHigh level / strategic drivers • What are the high level / strategic drivers to our presence in this project, by ... ... ESA ... WorldFish ... FAO

Challenges, envisaged solutions and identified application scenarios • Information challenges faced, and envisaged responses; introduction to D4Science application scenarios Satellite imagery Species occurrence maps Fishing activity / Catch comprehensive profiles Oceanography/ Vegetation Fisheries Fisheries Biodiversity Integrated Catch Information System Fishery Country Profiles Earth / Ocean spatial observation Species prediction modeling FCPPS ICIS AquaMaps GCM GVM

Challenges, envisaged solutions and identified application scenarios Environmental Monitoring: GCM - Global ocean Chlorophyll Monitoring • Global ocean chlorophyll profile necessary to understand role ofphytoplankton 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

Challenges, envisaged solutions and identified application scenarios Environmental Monitoring: GCM - Global ocean Chlorophyll Monitoring • 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: 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 • Aquamaps • 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 • 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 • 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 • ICIS – time series • Integrated Capture Information System – time series ... 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 • a response to ...

Challenges, envisaged solutions and identified application scenarios • ICIS – time series • Integrated Capture Information System – time series ... CWP recommendations: • enhance quality of global catch statistics, through “stronger interaction of existing catch databases” • current status non integrated data bases • a response to ...

Challenges, envisaged solutions and identified application scenarios • ICIS – time series • Integrated Capture Information System • product: harmonized and reallocated catch statistics x Fishing activity / Catch Fisheries • 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) ICIS

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 • Timeliness and relevance • Efficiency – avoiding duplications, promoting reuse • Positioning the product

Challenges, envisaged solutions and identified application scenarios • Fishery Country Profiles production system • 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 • 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 profiles • automatic feeds from live databases • including through partnerships with trusted data providers • support to concurrent editing, reviewing and publishing workflow • will reduce publishing delays

Aquamaps WFC Catch statistics Reference system end-users services FAO FishBase GIS areas - species Species occurence Catch statistics Reference system SealifeBase RFBs OBIS UBC ESA G-POD Satellite oceanography Synergies among communitiesIntegration of scenarios and cross-fertilization among scenarios Fishing activity / Catch Vulnerable Marine Ecosystems Habitats Geo-forms Hydrography Oceanography Fisheries Biodiversity ICIS Aquamaps GVM D4Science Local

Synergies among communitiesVarious facets • 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 communitiesMain innovative features with D4Science • Main innovative features with D4Science • - collaborative working environments • - Integrate heterogeneous data sources • - Interoperability - Ecosystem of infrastructure • - Computing power • - Dynamic and shared reporting • - workflow management

Community FairShowcasing “Building dynamic research environments using D4Science technology” M. Taconet (FAO) - chair A. Ellenbroek (FAO), V. Guidetti (ESA), K. Kaschner (WFC) World User Meeting 25th November 2009 Rome (Italy) www.d4science.eu

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