Acknowledgements: Research support provided by NSF ITR, and NBII. Food web visualization provided by Bongshin Lee and TreePlus ELVIS (the Ecosystem Location Visualization and Information System) is a suite of tools motivated by the belief that food web structure plays a role in the success or failure of potential species invasions. Because very few ecosystems have been the subject of empirical foodweb studies, response teams are typically unable to get quick answers to questions like “what are likely prey and predator species of the invader in the new environment?” The focus of ELVIS is on providing evidence, as opposed to giving definitive answers to queries. Food Web Constructor (FWC). Taxa can be entered several different ways. The user can choose which food web studies to use for prediction. Currently, our dstabase includes 257 studies. Evidence Provider allows a user to drill down on a specific link to see the evidence for it. Below: expressed in OWL. FWC Results. Each suspected link is reported, together with references to supporting evidence. Summary statistics of the food web are also reported. SPIRE (Semantic Prototypes in Research Ecoinformatics) is a distributed, interdisciplinary research project exploring the use of semantic web technologies in support of science research and education. We are building prototypes for inclusion in NBII, with a focus on the early detection and warning of invasive species. Species List Constructor. Click a county, get a species list. Currently supports terrestrial vertebrates in California - coming soon: plants, insects and fish. Following the ELVIS philosophy, our focus will be on provenance: e.g. 'what is the evidence for and against the presence of bobcats in my back yard?'. Ongoing Activities • Refinement of predictive model • Ontology development • Modularization of design Goal: a service-oriented architecture, fully incorporated into the semantic web Architectural Nirvana: Ecological information sources of the world annotate their data with RDF, enabling ELVIS to query, harvest, and update its local database as necessary. ? Scenario: St. Marks 1 2 3 True links 2467 51 245 41 “False” links 340 2267 257 So far, FWC minimally reconstructs the 155 taxa food web in St. Marks, FL estuarine food web (data from Christian & Luczkowicz 1999). Exotic fish Nile Tilapia is predicted to eat algae (red circle on left) and have no potential predators. Taxa nearby in the food web (to right) could be impacted by or mediate the introduction of this competitor. 1: Two evolutionary steps up and down 2: Four steps up and down 3: Limiting to data from relevant habitats PEaCE

Evidence Provider allows a user to drill down on a specific link to see the evidence for it

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Page 1: Evidence Provider allows a user to drill down on a specific link to see the evidence for it

Acknowledgements: Research support provided by NSF ITR, and NBII. Food web visualization provided by Bongshin Lee and TreePlus

ELVIS (the Ecosystem Location Visualization and Information System) is a suite of tools motivated by the belief that food web structure plays a role in the success or failure of potential species invasions. Because very few ecosystems have been the subject of empirical foodweb studies, response teams are typically unable to get quick answers to questions like “what are likely prey and predator species of the invader in the new environment?” The focus of ELVIS is on providing evidence, as opposed to giving definitive answers to queries.Food Web Constructor (FWC). Taxa can be

entered several different ways. The user can choose which food web studies to use for prediction. Currently, our dstabase includes 257 studies.

Evidence Provider allows a user to drill down on a specific link to see the evidence for it.Below: expressed in OWL.

FWC Results. Each suspected link is reported, together with references to supporting evidence. Summary statistics of the food web are also reported.

SPIRE (Semantic Prototypes in Research Ecoinformatics) is a distributed, interdisciplinary research project exploring the use of semantic web technologies in support of science research and education. We are building prototypes for inclusion in NBII, with a focus on the early detection and warning of invasive species.

Species List Constructor. Click a county, get a species list. Currently supports terrestrial vertebrates in California - coming soon: plants, insects and fish. Following the ELVIS philosophy, our focus will be on provenance: e.g. 'what is the evidence for and against the presence of bobcats in my back yard?'.

Ongoing Activities• Refinement of predictive model• Ontology development• Modularization of designGoal: a service-oriented architecture, fully incorporated into the semantic web

Architectural Nirvana: Ecological information sources of the world annotate their data with RDF, enabling ELVIS to query, harvest, and update its local database as necessary.

Scenario: St. Marks 1 2 3

True links 2467 51 245 41

“False” links 340 2267 257

So far, FWC minimally reconstructs the 155 taxa food web in St. Marks, FL estuarine food web (data from Christian & Luczkowicz 1999).

Exotic fish Nile Tilapia is predicted to eat algae (red circle on left) and have no potential predators. Taxa nearby in the food web (to right) could be impacted by or mediate the introduction of this competitor.

1: Two evolutionary steps up and down

2: Four steps up and down3: Limiting to data from

relevant habitats

PEaCE