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Participants
- Mark Schildhauer
- Deana Pennington
- Rich Williams
- Chad Berkley
- Jianting Zhang
- Shawn Bowers
- Kristin Vanderbilt
- Evan Weiher
- David Chalcraft
- Dan Higgins
- Bertram Ludaescher
- Katy Suding
- Steve Cox
- Bob Waide
September 21st
- Introductions (8:30-3:45)
- Mark presentation on SEEK background
- Deana presentation on Biodiversity, etc.
- Discussion
- Species traits
- Data sets, availability
- Integration
- Chad / Dan Presented on Kepler
- Much interface discussion
- Showed Pred/Prey and Bio index models
- Rich Williams on ontologies
- Restricted to certain axis; spatial patterns (naturally occuring gradients); abundance; temporal
- In a particular control plot, how are things changing, and are those changes in the same trajectory (in the same gradient change)?
- Ton of data in range management
- Q: Are most of these datasets freely available on the web; are people sharing them? A: Few available on web ... Q: But is it possible to get them? A: It is a very divergent / diverse community. Q: W
September 22nd
- Agenda Setting
- Some overlapping stuff on every biodiversity analysis
- Methods / Design focus
- Analysis focus
- Mark: Goal is to compartmentalize that provides general utility for next project, for some other analysis; a standard type of function that we want to capture and describe to use for others
- Bob: At one point there was a database with various scripts that provided the full spectrum of data integration
- They aren't there anymore (they were on KNB bio)
- Everthing that was done using scripts, no manual work
- From 16 or so grasslands
- Raw data that read in the scripts
- Project technically still ongoing
- Aug 2002 first working group
- Then six months of work after that
- It would be a good test case / use case to look into
- Steve: Jornado would be the test case
- Data Integration
- Katy
- Predicting species response to increased rousource availability (history, questions, dataset)
- what happens when you increase productivity (experimentally), and then look at what happens to diversity
- N (nitrogen) Fertilization experiments (KBS oldfields, ARC heath)
- if you add nitrogen, it generally increases productivity (Gough et al. 2000)
- Every experiment found that as you increase productivy it decreases diversity, which doesn't follow the natural productivity/species-richness curve (this is gaining interest: we are increasing productivity of systems in general with environmental change going on, e.g., urbanization increases nitrogen/fertizilation, and a desire to know the result on diversity)
- What is Primary Productivity "can of worms"
- Want to aggregate data at many different scales / communities to get many types of graphs; you want to ultimately go from smallest possible scale to largest scale
- decision making that goes in, before any analysis happens. This goes into the data discovery/integration. Deana: can we build a repository of methodologies.
- primarily using herbaceous sites
- you do a broad category of the dataset, but not the details (a little bit of woody stuff, ...)
- Bob: need a step where someone can look at the methodology ...
- Rich: Need to capture what it is you are measuring; it isn't as much a methodology issue
- Clark and Clark paper covers some of this (Bob said he'd dig up the ref)
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