Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Efforts in Science and Technology to Address Data Management Needs A Network Connecting Science With Conservation [email protected] [email protected] [email protected] 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 Interpretation and Use Guiding Conservation Action 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: Natural Heritage Network Canada & Latin America: Conservation Data Centers User Survey: Conservation Information Technology Needs weighted score value 0 20 40 60 80 100 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 data Tools 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 applications Tools 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 Important Mission-critical 120 14 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 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