Climate Change & Biodiversity WG
Arctic Food Chain Scenario
| Transverse Technology Use Cases
| Specialized Use Cases
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| CB-AF-01. Scientist selects species of interest |
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01.1. Scientist uses IP3 client application to submit a query to the IP3 Mediation Service and discover the presence datasets for a given specie. | | |
01.2. IP3 Mediation Service mediates the query request distributing it to the Web Feature Service. | | |
01.3. Scientist selects one or more datasets returned by the query. | | |
01.4. Scientist gets the selected dataset(s) using the IP3 Mediation Service, which mediates the access request distributing it to the Web Feature Service. | | N. | Name
| Desc.
| | 06 | Interact with Services | Activity of client to consume services for datasets, sensors, models, workflows, etc |
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CB-AF-02. Scientist uses IP3 Mediation Service to develop correlation model between species and environment. Climate data (published and accessed throught a Web Coverage Service) can be used.
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02.1. Scientist uses IP3 client application to submit a query to the IP3 Mediation Service and discover historical climate data. | | |
02.2. IP3 Mediation Service mediates the query request distributing it to the Climate Data Server. | | |
02.3. Scientist selects one or more datasets returned by the query. | | |
02.4. Scientist gets the selected dataset(s) using the IP3 Mediation Service, which mediates the access request distributing it to the Climate Data Server. | | N. | Name
| Desc.
| | 06 | Interact with Services | Activity of client to consume services for datasets, sensors, models, workflows, etc |
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02.5. Scientist generates a niche model ingesting the selected presence and climate data into the IP3 ENM (Ecological Niche Model) Server. | | |
CB-AF-03. Scientist validates model using additional observations.
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| CB-AF-04. Scientist uses known physiological limits of the species to direct the development of models relating predicted climate change to predicted change in species distribution. |
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| CB-AF-05. Scientist uses GBIF IP3 system to predict how range distributions will contract in the future |
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