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Contribution of the LifeWatch system to the GEO BON system of systems

The LifeWatch system contributes to GEO BON collaboration by providing access to distributed observatories, computational power, and tools for enhancing biodiversity and ecosystem science. It supports research at the system level through a single portal and facilitates data integration and cooperation among data providers. By leveraging e-infrastructure and distributed computing power, LifeWatch empowers users to study complexity at faster speeds and develop advanced modeling algorithms for species identification.

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Contribution of the LifeWatch system to the GEO BON system of systems

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  1. Contribution of the LifeWatch system to the GEO BON system of systems Collaboration Users Work flow generator E-Infrastructure Integration and Computation Composition Data software Distributed computing power Resources

  2. LifeWatch Research InfrastructureEnhancing Biodiversity & Ecosystem Science • LifeWatch will provide access to: • Distributed observatories/sensor networks, • Interoperable databases, existing (data-)networks, using accepted standards • Computional power • Software & tools voor visualisation, analysis and modelling

  3. LifeWatch Research InfrastructureEnhancing Biodiversity & Ecosystem Science Support research at the system level • Through a single portal for researchers, policy makers, NGOs, private companies, general public • By supporting ‘collaborative networks’ working on urgent scientific and societal questions • Allow for studying complexity on much larger speeds

  4. Facilitating data resources and trust • Promote that related data providers cooperate to establish data integrators • LifeWatch facilitates such cooperation. • Cooperating data networks may establish their own (and self-controlled) virtual environment for data storage and data management etc. • Cost might be covered by LifeWatch, but require negotiation Users E-Infrastructure Composition Resources

  5. Much larger speeds • Advanced modeling algorithms • Computational capacity • Speed up data generation • Sensors • Empower human observation networks • Earth observation as a proxy for direct in situ observations • Earth observation currently mainly on ecological characteristics • Consider species presence (and not the big species) • Use the parameters as used in ecological niche modeling to develop a suite of EO parameters for identifying potential species presence. • i.e. combination soil data, humidity fluctuations 5 cm bottom layer, vegetation types, altidudes, etc)

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