1. North American initiatives in Ecoinformatics: Vegbank and SEEK Robert K. Peet and The Ecological Society of America Vegetation Panel The SEEK development team

2. Case Studies

4. Native Exotic Upland (1090 plots) Riparian (121 plots) 31.12 0.20 (268 plots with exotics) 55.66 7.98 (110 plots with exotics) Mean Species Richness Kruskal-Wallis: Native Richness Chisq = 353.2, df = 1, P < 0.0001 Exotic Richness Chisq = 127.7, df = 1, P < 0.0001

6. Type A: “plots that keep on giving” Unusual: supply-side driven, influenced little by competition Unusual: supply-side driven, influenced little by competition Little spatial structure; disturbance important Little spatial structure; disturbance important ( ↓ competitive exclusion) ( ↑ species pool)

9. Traditional Community Ecology The questions: How are communities structured? How do taxa interact? The solutions : Simple observations. Simple experiments. The scale: Stand or landscape.

10. Major data types Site data: climate, soils, topography, etc. Taxon attribute data: identification, phylogeny, distribution, life-history, functional attributes, etc. Occurrence data: attributes of individuals (e.g., size, age, growth rate) and taxa (e.g., cover, biomass) that co-occur at a site.

11. EcoInformatics ? Massive plot data have the potential to create new disciplines and allow critical syntheses. Theoretical community ecology. Which taxa occur together, and where, and following what rules? Remote sensing. What is really on the ground? Monitoring. What changes are really taking place in the vegetation? Restoration. What should be our restoration targets? Vegetation & species modeling. Where should we expect species & communities to occur after environmental changes?

12. Conclusions? Standard data structures Standards for data exchange Public data archives (functions for deposit, discovery, withdrawal, citation, annotation) Standards for data archiving Standards for reference to taxonomic data Standard software tools

13. The ESA Vegetation Classification Panel was established in 1993 with a mandate to support the emerging U.S. Vegetation Classification. Background

14. I am pleased to acknowledge the support and cooperation of: Ecological Society of America Gap Analysis Program National Center for Ecological Analysis and Synthesis National Biological Information Infrastructure Federal Geographic Data Committee National Science Foundation

15. Requirements for vegetation field plots. Documentation & description of floristic types. Submission & peer review of proposed types. Management, citation, & archiving of vegetation data. Guidelines for Vegetation Classification The ESA Vegetation Panel and its partners have collaborated to develop guidelines for the floristic levels of the classification covering:

16. Overview of online resources Stores plots and makes them publicly accessible Stores current communities in the NVC Stores current plant taxonomy Allows people to change and update NVC and plants vegbank.org natureserve.org plants.usda.gov TBA

17. VegBank The ESA Vegetation Panel is developing a public archive for vegetation plots known as VegBank (http://vegbank.org).http://vegbank.org VegBank is expected to function for vegetation plot data in a manner analogous to GenBank. Primary data will be deposited for reference, novel synthesis, and reanalysis. The database architecture is generalizable to most types of species co-occurrence data.

18. http://www.vegbank.org

20. VegBank data are open access All data placed in VegBank are available to the public at no charge (unless the plot contributor places restrictions to protect location information for rare and endangered species or private lands). Key data can be viewed by a simple web link. The following link shows information for two VegBank plots: http://vegbank.org/get/std/observation/5153,5906

21. http://vegbank.org/get/std/observation/'VB.Ob.5153.YOSE98M19'

22. Biodiversity data structure Taxonomic databases Plot/Inventory databases Specimen databases Observation/Collection Event Object or specimen BioTaxon Locality SynTaxon Community type databases

23. Project Plot Observation Taxon / Individual Observation Taxon Interpretation Plot Interpretation Core elements of VegBank

24. Taxon/community interpretation Multiple concepts can be linked simultaneously Degree of fit for each can be indicated Subsequent interpretations supported.

25. VegBank Interface Tools Desktop client (VegBranch) for data preparation and local use. Flexible XML data import supporting VegBranch (& TurboVeg) formats. Flexible data export. Easy web access to central archive

26. VegBranch can be used for converting legacy data, entering data, and maintaining a local plot database.

27. Challenges Data ownership, intellectual property rights, & confidentiality Multiple classifications of organsms and communities Multiple plot types (relevés & Hubbell plots) Data entry & submission tools Perfect archiving Plot and taxon interpretation

28. The Taxonomic database challenge: Standardizing organisms and communities The problem: Integration of data potentially representing different times, places, investigators and taxonomic standards. The traditional solution: A standard list of organisms / communities.

29. Standardized taxon lists fail to allow dataset integration The reasons include: The user cannot reconstruct the database as viewed at an arbitrary time in the past, Taxonomic concepts are not defined (just lists), Multiple party perspectives on taxonomic concepts and names cannot be supported or reconciled. This is the single largest impediment to large-scale synthesis in ecology

30. High-elevation fir trees of western North America AZ NM CO WY MT AB eBC wBC WA OR Abies lasiocarpa var. arizonica Abies lasiocarpa var. lasiocarpa Distribution USDA - ITIS Flora North America Abies bifoliaAbies lasiocarpa

31. Carya ovata (Miller)K. Koch Carya carolinae-sept. (Ashe) Engler & Graebner Carya ovata (Miller)K. Koch sec. Gleason 1952 sec. Radford et al. 1968 Three concepts of shagbark hickory Splitting one species into two illustrates the ambiguity often associated with scientific names. If you encounter the name “Carya ovata (Miller) K. Koch” in a database, you cannot be sure which of two meanings applies.

32. Names Carya ovata Carya carolinae-septentrionalis Carya ovata v. ovata Carya ovata v. australis Taxon concepts (One shagbark) C. ovata sec Gleason ’52 C. ovata sec FNA ‘97 (Southern shagbark) C. carolinae-s. sec Radford ‘68 C. ovata v. australis sec FNA ‘97 (Northern shagbark) C. ovata sec Radford ‘68 C. ovata (v. ovata) sec FNA ‘97 References Gleason 1952 Britton & Brown Radford et al. 1968 Flora Carolinas Stone 1997 Flora North America Six shagbark hickory assertions Possible taxonomic synonyms are listed together

33. Party Perspective The Party Perspective on a Concept includes: Status – Standard, Nonstandard, Undetermined Correlation with other concepts – Equal, Greater, Lesser, Overlap, Undetermined. Start & Stop dates.

34. VegBank is populating USDA concepts & relationships Reference list: –USDA PLANTS / ITIS –1999, 2005 Standard treatments –Flora North America (8 volumes) –Isley – Legumes –Rollins – Brassicaceae –Selected treatments

35. Best practices When reporting identity of organisms, provide not only the full scientific name of each kind of organism, but also the reference that formed the basis of the taxonomic concept. Reference high quality sources for taxon concepts such as major compendia that provide their own defined concepts. Comprehensive checklists typically lack true taxonomic circumscriptions, but might be considered to contain taxonomic concepts sufficient for documenting organism identity. Identifications should include linkage to at least one concept, but in some cases should be linked to multiple concepts.

36. NatureServe provides access to the NVC and supporting documentation http://www.natureserve.org/explorer

37. Simple searches allow information on communities to be located.

38. Key descriptive data are available online, but the classification process is not yet open to the full scientific community.

39. Coming soon – direct links to views of typal and occurrence plots in VegBank

40. The ESA Panel and VegBank staff are developing an open peer-review system to allow anyone to contribute proposed revisions for the NVC.

42. The results of the peer-review process will be published in an online journal linked to VegBank

43. Concluding remarks Much of what we are doing with the US National Vegetation Classification is common to the vegetation classification enterprise worldwide, but much is also novel. Public plot archives, initially driven by the classification enterprise, have the potential to radically change the development of ecology and biodiversity management in general.

44. Highlights from the Science Environment for Ecological Knowledge (SEEK)

45. What is SEEK ? Science Environment for Ecological Knowledge Multidisciplinary project to create: Scientific-workflow system (Kepler) –Design, reuse, and execute scientific analyses Distributed data network (EcoGrid) –Environmental, ecological, and systematics data KR & Semantic Mediation –Discover, integrate, and compose hard-to-relate data and services via ontologies Taxonomic concept services –Resolve taxon ambiguities Collaborators (the SEEK team) NCEAS, UNM, SDSC/UCSD, U Kansas Vermont, Napier, ASU, UNC

46. Kepler: Scientific Workflows Model the way scientists work with their data now –Mentally coordinate export and import of data among software systems Workflows emphasize data flow Metadata-driven data ingestion Output generation includes creating appropriate metadata Query EcoGrid to find data Archive output to EcoGrid with workflow metadata

47. SEEK EcoGrid Goal: allow diverse environmental data systems to interoperate –Hides complexity of underlying systems using lightweight interfaces –Integrate diverse data networks from ecology, biodiversity, and environmental sciences Data systems –Any system can implement these interfaces –Prototyping using: Metacat, DiGIR, etc. Supports multiple metadata standards –EML, Darwin Core as foci

48. EcoGrid client interactions Modes of interaction –Client-server –Fully distributed –Peer-to-peer EcoGrid Registry –Node discovery –Service discovery Aggregation services –Centralized access –Reliability –Data preservation

49. Knowledge Representation Current Ontologies –Ecological Concepts, Models, Networks –Measurements –Properties –Statistical Analyses –Time and Space –Taxonomic Identifiers –Units –Symbiosis Recent Developments –Biodiversity (measured traits, computation of traits) –Descriptive Terminology for Plant Communities –Ontology documentation …

50. Data Procurement “Find all datasets that contain abundance measurements of ‘Manica bradleyi’ inter-ant parasites observed within California”

51. Data Set Ecological Data Set Ecological data set providers Concept Provider 1 e.g. Fishbase Concept Provider 3 e.g. Prometheus Concept Provider 2 e.g. ITIS Taxonomic concept providers Taxonomy transfer schema - TML Concept matching/expansion/… Weighted concepts Semantic Mediation System Return list of Data Sets User’s Taxonomic concept + quality measure Name/Concept Repository Ecological metadata language - EML (Containing Collector’s Taxonomic concept(s)) EML repository Taxon coverage SEEK High-Level Approach

52. Acknowledgements This material is based upon work supported by: The National Science Foundation under Grant Numbers 9980154, 9904777, 0131178, 9905838, 0129792, and 0225676. Collaborators: NCEAS (UC Santa Barbara), University of New Mexico (Long Term Ecological Research Network Office), San Diego Supercomputer Center, University of Kansas (Center for Biodiversity Research), University of Vermont, University of North Carolina, Napier University, Arizona State University, UC Davis The National Center for Ecological Analysis and Synthesis, a Center funded by NSF (Grant Number 0072909), the University of California, and the UC Santa Barbara campus. The Andrew W. Mellon Foundation. Kepler contributors: SEEK, Ptolemy II, SDM/SciDAC, GEON

53. Conclusions? Standard data structures Standards for data exchange Public data archives (functions for deposit, discovery, withdrawal, citation, annotation) Standards for data archiving Standards for reference to taxonomic data Standard software tools