A KNOWLEDGE NETWORK FOR BIOCOMPLEXITY A Framework for Discovering and Using Ecological Data

Problem: Ecological data needed to address critical questions are dispersed, heterogeneous, and complex Solution: An internet-based mechanism to discover, retrieve, interpret, integrate, and analyze ecological data

Solution: A Knowledge Network for Biocomplexity

Storage Resource Broker (SRB) USER Desktop Client Software MetaData Catalog Storage Resource Broker (SRB) Distributed Ecological Data (database systems, archival storage systems, file systems, ftp) DB2, Oracle, Illustra, ObjectStore HPSS, UniTree UNIX, ftp

This Knowledge Network requires expertise in: Ecology Computer Science Informatics

A Collaborative Partnership: National Center for Ecological Analysis and Synthesis Long-Term Ecological Research Network San Diego Supercomputer Center Texas Tech University

A Collaborative Partnership: TEXAS TECH SAN DIEGO SUPERCOMPUTER CENTER

Project Goals: Build the technological tools to network data sources for the creation of knowledge Conduct research on the relationship between biodiversity and ecosystem function Educate the scientific community on the use of these technological tools

Ways to Participate: Knowledge Network Collaborative Research Graduate Education

Ways to Participate: Knowledge Network Beta-test client software to manage your data Share data via the knowledge network Use and evaluate the knowledge network

Ways to Participate: Knowledge Network Collaborative Research Relationship between biodiversity and ecosystem function Scale-dependence Cross-taxon comparisons

Ways to Participate: Knowledge Network Collaborative Research Graduate Education Co-sponsor seminar at your institution Participate in NCEAS working group Participate as a student in the seminar at your institution

For more information: Contact: Elizabeth A. Sandlin Stephen B. Cox (805) 892-2528 sandlin@nceas.ucsb.edu Stephen B. Cox (806) 742-2658 cox@nceas.ucsb.edu