1. The challenge of biodiversity: Plot, organism and taxonomic databases Robert K. Peet University of North Carolina The National Plots Database Committee John Harris NCEAS

2. A case study: VegBank - The ESA Vegetation Plot Archive Project supported by: National Center for Ecological Analysis & Synthesis U.S. National Science Foundation USGS-BRD Gap Analysis Program ABI / The Nature Conservancy Project organized and directed by: Robert K. Peet, University of North Carolina Marilyn Walker, USDA Forest Service & U. Alaska Dennis Grossman, The Nature Conservancy / ABI Michael Jennings, USGS-BRD & UCSB

3. Observation/Collection Event Object or specimen Taxon Locality Biodiversity data structure Taxonomic databases Plot/Inventory databases Specimen databases

4. Web-interface Veg Classification Database VegBank Proposal Raw Plot Data Vegetation/Biodiversity Information flow in the US National Vegetation Classification Taxonomic Database Proposal

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

6. There exist numerous compilations of organism names. For example: Species 2000http://www.sp2000.org/default.html (Composed of 18 participant databases) All Specieshttp://www.all-species.org ITIShttp://www.itis.usda.gov/ (The US government standard list, plus Canada & Mexico) Index to organism names http://www.biosis.org.uk/triton/indexfm.htm

7. Taxon-specific standard lists are available. Representative examples for higher plants include: North America / US USDA Plantshttp://plants.usda.gov/ ITIShttp://www.itis.usda.gov/ NatureServehttp://www.natureserve.org World IPNI International Plant Names Checklist http://www.ipni.org/ IOPI Global Plant Checklist http://www.bgbm.fu-berlin.de/IOPI/GPC/

8. Most standardized plant lists fail to allow effective integration of datasets. 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.

9. Current standards Biological organisms are named following international rules of nomenclature. Database standards are being developed by TDWG, GBIF, IOPI, etc. Metadata standards have been developed. For example, the Darwin Core is a profile describing the minimum set of standards for search and retrieval of natural history collections and observation databases. (http://tsadev.speciesanalyst.net/DarwinCore/)

10. Carya ovata (Miller)K. Koch Carya carolinae-sept. (Ashe) Engler & Graebner Carya ovata (Miller)K. Koch sec. Gleason 1952sec. 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.

11. R. plumosa R plumosa v. intermedia R. plumosa v. plumosa R. intermedia R. plumosa v. interrupta R. pineticola R. plumosaR. sp. 1 R. plumosa v. plumosa R. plumosa v. pineticola Multiple concepts of Rhynchospora plumosa s.l. Elliot 1816 Gray 1834 Kral 1998 Peet 2002? 1 2 3 Chapman 1860

12. NameReferenceAssertion An assertion represents a unique combination of a name and a reference “Assertion” is equivalent to “Potential taxon” & “taxonomic concept”

13. Names Carya ovata Carya carolinae-septentrionalis Carya ovata v. australis Assertions (One shagbark) C. ovata sec Gleason ’52 C. ovata (sl) 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

14. NameAssertionUsage A usage represents a unique combination of an assertion and a name. Usages can be used to track nomenclatural synonyms

15. 1. Carya ovata 2. C. carolinae 3. C. ovata var. australis A.ovata sec. Gleason B.ovata sl sec. FNA C.carolinae sec. Radford D.ovata australis sec. FNA E.ovata sec. Radford F.ovata ovata sec. FNA 1-F OK 2-D OK 3-D Syn Names Assertions ITIS Usage ITIS views the linkage of the assertion “Carya ovata var. australis sec. FNA 1997” with the name “Carya ovata var. australis” as a nomenclatural synonym.

16. NameAssertionUsage A usage (name assignment) and assertion (taxon concept) can be combined in a single model Reference

17. Party Perspective The Party Perspective on an Assertion includes: Status – Standard, Nonstandard, Undetermined Correlation with other assertions – Equal, Greater, Lesser, Overlap, Undetermined. Lineage – Predecessor and Successor assertions. Start & Stop dates.

18. ITIS FNA Committee ABI Carya ovata sec Gleason 1952 Carya ovata (sl) sec FNA 1997 Carya ovata sec Radford 1968 Carya carolinae sec Radford 1968 Carya ovata (ovata) sec FNA 1997 Carya ovata australis sec FNA 1997 PartyAssertion PartyAssertionStatusStart Name ITIS ovata – G52 NS1996 ITIS ovata – R68 St1996ovata ITIScarolinae – R68 St1996carolinae ITIScarolinae – R68 NS2000 ITISovata aust – FNA St2000carolinae ITISovata – R68 NS2000 ITISovata ovata – FNA St2000ovata Status

19. VegBank taxonomic data model

20. Concept-based taxonomy is coming! All organisms/specimens in databases should be identified by linkage to an assertion = name and reference! Various standards are being developed by FGDC, TDWG, IOPI, GBIF, etc. Most major databases are working toward inclusion of assertions (e.g. ITIS, IOPI, HDMS). Until standard assertion lists are available, databases that track organisms should include couplets containing both a scientific name and a reference.

21. (Inter)National Taxonomic Database? Concept-based Party-neutral Synonymy and lineage tracking Perfectly archived An upgrade for ITIS & Species 2000?

22. Specimen/object databases Information on specimens/objects should be tracked by reference to Place (place or collection) Unique identifier (accession number) Time A museum is a place Annotation should be by assertion (concept)!

23. Database systems for tracking specimens The following are a few of the many available BioLink http://www.ento.csiro.au/biolink/index.html Specify http://usobi.org/specify/default.htm Biota http://viceroy.eeb.uconn.edu/Biota Taxis http://taxis.virtualave.net/ TDWG maintains links to multiple software systems http://www.bgbm.fu-berlin.de/TDWG/acc/Software.htm

24. Plots Database Systems Several plot database systems are available. Among the best know and widely used are: TurboVeg http://www.alterra.nl/onderzoek/producten/websites/turboveg/ Over 1,000,000 plots stored using TurboVeg Plots (ABI NPS Mapping Project)

25. A vegetation plot archive? There is currently no standard repository for plot data. A repository is needed for: Plot storage Plot access and identification Plot documentation in literature/databases This would be equivalent to GenBank for vegetation science

26. Project Plot Observation Taxon Observation Taxon Interpretation Plot Interpretation Core elements of the VegBank

27. Support multiple interpretations of which concept applies to an organism or community. Various observers will associate different taxonomic concepts with records in a database Provision must be made for inclusion of these taxonomic interpretations. Minimal attributes include Concept applied Date applied Who made the interpretation Links to supporting information

28. Interface tools Desktop client for data preparation and local use. Loaders for legacy data. Flexible data inport. Tools for linking to taxonomic and community concepts. Standard query, flexible query, SQL query. Flexible data export. Local data refresh Easy web access with consistent interface

29. Conclusions for database designers 1.Records of organisms should always contain (or point to) couplets consisting of a scientific name and a reference where the name was used. 2.Design for future annotation of organism concepts. 3.Track specimens/objects by location, unique identifier & time. 4.Design for reobservation. Separate permanent from transient attributes. 5.Archival databases should provide multiple or continuous time-specific views.