Efforts in Science and Technology to Address Data Management Needs A Network Connecting Science With Conservation January 31, 2006 Jennifer Swenson, Carmen.

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Presentation transcript:

Efforts in Science and Technology to Address Data Management Needs A Network Connecting Science With Conservation 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 Chain Connecting Science with Conservation Data collection and recording Data management and quality assurance Conservation expertise and analysis Information access and interoperability Decision-support systems Guiding Conservation Action Scientific standards and methods Exploration and Discovery Aggregation and Presentation Interpretation and Use

NatureServe Member Network USA: Natural Heritage Network Canada & Latin America: Conservation Data Centers

User Survey: Conservation Information Technology Needs

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 52Mammals 82Birds > 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)

Data: Online Resources for Professionals and the Public

Conservation Planning with a Decision Support tool

Scenario Evaluation

Scenario Report - Achieving Goals

Efforts in Science and Technology to Address Data Management Needs A Network Connecting Science With Conservation