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Efforts in science and technology to address data management needs in conservation. This network connects science with conservation, guiding conservation actions and supporting sustainability.
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Efforts in Science and Technology to Address Data Management Needs A Network Connecting Science With Conservation Jennifer_Swenson@NatureServe.org Carmen_Josse@NatureServe.org Kristin_Barker@NatureServe.org January 31, 2006 Jennifer Swenson, Carmen Josse, Kristin Barker
Guiding Conservation by… • Determining which species and ecosystems are of greatest conservation concern • Locating the best places for conservation action • Supporting sustainability by steering development toward less sensitive areas
NatureServe Information Value ChainConnecting Science with Conservation Guiding Conservation Action Interpretation and Use Decision-support systems Aggregation and Presentation Conservation expertise and analysis Information access and interoperability Exploration and Discovery Data management and quality assurance Data collection and recording Scientific standards and methods
NatureServe Member Network USA: NaturalHeritage Network Canada & Latin America: Conservation Data Centers
Observations Standard Objective: Develop standards for biotic observation records to facilitate sharing and rollup Conservation Applications Framework • Internet-based infrastructure to • Provide common services • Facilitate query and aggregation • Infrastructure services • Example Conservation Applications: observations, protected areas, query and browse portals
Observations Application Prototype • Purpose: • Validate and demonstrate the conservation applications framework • Explore the potential for user-driven data capture and reporting application • Supports observation standard • Integrated GIS • Fully localizable
Integrated Conservation Assessment in the Andean Watershed of Peru and Bolivia Objective: Model and map endemic species and ecological systems to identify conservation priorities in the upper Amazon watershed in Peru and Bolivia. Funded by the Gordon and Betty Moore Foundation Photo: Steffen Reichle
Predictive Distribution Modeling Cyanolyca viridicyanus Endemic to Peru and Bolivia • ENDEMIC SPECIES • MODELED • 189 Amphibians • Mammals • Birds • > 300 Plants Modeling method: MAXENT, with climate, topography, MODIS data, and geology
Ecological systems mapping • ~110 Ecological Systems in Study area • Using a standard classification developed for entire continent (NatureServe 2004)
Efforts in Science and Technology to Address Data Management Needs A Network Connecting Science With Conservation