efforts in science and technology to address data management needs a network connecting science with...
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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
Jennifer_Swenson@NatureServe.org
Carmen_Josse@NatureServe.org
Kristin_Barker@NatureServe.org
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
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
0 20 40 60 80 100 120 140
Tools for managing observational data from field surveys and monitoring efforts
Tools to discover, access, and convert biodiversity datasets from other organizations
Tools to provide web-based data delivery/publishing capability
Tools for managing data on the distribution, extent, and legal status of protected areas
Tools for assessing conservation status of species and ecosystems
Tools for conducting landscape or ecoregion-scale conservation analyses
Planning tools for integrating biological data with other environmental or socio-economic dataTools to facilitate capture of georeferenced field data (e.g., handheld data collection unit integrated with
GIS and GPS)Tools for managing data on species ranges
Tools for analysis of monitoring data sets
Tools for metadata creation, management, and sharing
Tools for managing data on individual population occurrences
Tools to improve access to remote sensing data for biodiversity applicationsTools to facilitate management of specific protected areas or other designated natural resource areas (e.g.,
adaptive management, fire modeling)Tools for modeling predicted species distributions based on ecological niches
Tools for managing taxonomic data on species names and concepts
Tools for conducting population viability analyses
Tools for managing data on species life history and other characteristics
Tools to process remote sensing data for biodiversity applications
Hosted Internet-based GIS services for my organization
Tools to georeference written locality descriptions
Species identification keys and 'electronic field guide' tools
Tools allowing online contributions of data to citizen science projects
Tools for classifying ecological units through ordination and other techniques
Tools for managing data on voucher specimens and museum collections
Tools for analyzing and comparing graphic images
Tools for analyzing phylogenetic relationships among organisms
weighted score value
Important Mission-critical
User Survey: Conservation Information Technology Needs
Observations StandardObjective: 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
52 Mammals
82 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)
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
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