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

2. 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

3. Solution: A Knowledge Network for Biocomplexity

4. 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

5. This Knowledge Network requires expertise in:
Ecology
Computer Science
Informatics

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

7. A Collaborative Partnership:
TEXAS
TECH
SAN DIEGO
SUPERCOMPUTER CENTER

8. 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

9. Ways to Participate: Knowledge Network Collaborative Research
Graduate Education

10. 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

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

12. 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

13. For more information: Contact: Elizabeth A. Sandlin Stephen B. Cox
(805)
Stephen B. Cox
(806)