Taxonomic data issues: An ecologist’s experience R.K. Peet The University of North Carolina Adapted by J Kennedy.

Slides:



Advertisements
Similar presentations
SIF Status to ADC Co-Chairs
Advertisements

How to Use This Presentation
The VegBank taxonomic datamodel Robert K. Peet Sponsored by: The Ecological Society of America US National Science Foundation Produced at: The National.
OVERVIEW OF DATA FLOW IN NVC PROCESS Field sheets NVC Proceedings.
VegBank.org: a Permanent, Open-Access Archive for Vegetation Plot Data. Michael T. Lee 1, Michael D. Jennings 2, Robert K. Peet 1. Interacting with the.
Integrated Taxonomic Information System Janet Gomon, Deputy Director, ITIS Smithsonian Institution Museum of Natural History The.
SDD: Structured Descriptive Data Gregor Hagedorn (Germany) Bob Morris (USA) Kevin Thiele (Australia)
Chapter 15: Classification
Vegetation databases Lessons from VegBank, SEEK, TDWG, IAVS, & NCEAS Robert Peet University of North Carolina.
Transition to taxon concepts from a world of legacy data --- R.K. Peet 1, A.S. Weakley 1,2, X. Liu 1,3, & N. Franz 4,5 1 The University of North Carolina.
Plant Systematics databases: Users perspectives Robert K. Peet, University of North Carolina In collaboration with The National Center for Ecological Analysis.
Managing Data Resources
Chapter 6 Methodology Logical Database Design for the Relational Model Transparencies © Pearson Education Limited 1995, 2005.
Issues in the Transfer of Help Tools to Government Agencies: The Example of the Statistical Interactive Glossary (SIG) Stephanie W. Haas School of Information.
Data Integration Issues in Biodiversity Research Jessie Kennedy Shawn Bowers, Matthew Jones, Josh Madin, Robert Peet, Deana Pennington, Mark Schildhauer,
Names are not sufficient: the challenge of documenting organism identity R.K. Peet, J.B.Kennedy, and N.M. Franz and The Ecological Society of America Vegetation.
Improving Restoration Using CVS-Designed Web-Based Tools 7 October 2009 M. Forbes Boyle University of North Carolina, Chapel Hill.
Data models for Community information Robert K. Peet, University of North Carolina John Harris, Nat. Center for Ecol. Analysis & Synthesis Michael D. Jennings,
VegBank A vegetation field plot archive Sponsored by: The Ecological Society of America - Vegetation Classification Panel Produced at: The National Center.
EEP wants to do a better job creating natural ecosystems. CVS provides improved reference data, target design, monitoring, and data management and analysis.
EcoInformatics & Vegetation Science. The symposium message Plant community ecology is on the brink of a dramatic transformation that will be made possible.
VegBank and the ESA Cyber-infrastructure for Vegetation Science Robert K. Peet & The Ecological Society of America Vegetation Panel.
North American initiatives in Ecoinformatics: Vegbank and SEEK Robert K. Peet and The Ecological Society of America Vegetation Panel The SEEK development.
A dichotomous key is a tool that allows the user to determine the identity of items in the natural world, such as trees, wildflowers, mammals, reptiles,
The VegBank taxonomic datamodel Robert K. Peet Sponsored by: The Ecological Society of America US National Science Foundation Produced at: The National.
Vegetation Plot Management: A National Plots Database Demo Funding: National Science Foundation (DBI ) John Harris - NCEAS Robert K. Peet - University.
The geography of the USA LO: To understand the diversity of natural biomes in the United States of America To map to population distribution of the USA.
Use case lessons: Components of the SEEK architecture Robert K. Peet University of North Carolina.
A new floristic atlas for the Southeast based on taxon concept relationships Robert K. Peet 1, Alan S. Weakley 1,2 & Xianhua Liu 1,3 1 The University of.
Animal Species Database of China JI, Li-Qiang Institute of Zoology, CAS Beijing, China CODATA, 2006, Beijing.
Brian J. Enquist Dept. Ecology and Evolutionary Biology University of Arizona, Tucson, A.Z. and The Santa Fe Institute, Santa Fe, N.M. Brian J. Enquist.
Copyright © Cengage Learning. All rights reserved. CHAPTER 5 Extending the Number System.
Standards and tools for publishing biodiversity data Yu-Huang Wang June 25, 2012.
Synopsis of current BIEN and Enquist projects managed by Martha iPlant 2014.
Underlying Principles of Zoology Laws of physics and chemistry apply. Principles of genetics and evolution important. What is learned from one animal group.
Resource Identity and Semantic Extensions: Making Sense of Ambiguity David Booth, Ph.D. Cleveland Clinic (contractor) Semantic Technology Conference 25-June-2010.
Distribution Maps Mary E. Barkworth Intermountain Herbarium, Utah State University, Logan, Utah
Experience from Mapping Existing Models to the Transfer Schema Robert Kukla.
Reading Phylogenetic Trees
Chapter 14 Table of Contents
Vegetation Data Management: VegBank Funding: National Science Foundation (DBI ) January 8, 2002 John Harris - NCEAS.
Chapter 3 Whole Numbers Section 3.2 Addition and Subtraction of Whole Numbers.
The VegBank taxonomic datamodel Sponsored by: The Ecological Society of America - Vegetation Classification Panel Produced at: The National Center for.
Collections. Vegetation sampling We observe and collect data on soil.
BiodiversityWorld GRID Workshop NeSC, Edinburgh – 30 June and 1 July 2005 Taxonomic verification: Species 2000 and the Catalogue of Life Frank Bisby.
The VegBank Data Model. Biodiversity data structure Taxonomic database Plot/Inventory database Occurrence database Plot Observation/ Collection Event.
The challenge of biodiversity: Plot, organism and taxonomic databases Robert K. Peet University of North Carolina The National Plots Database Committee.
The role of persistent identifiers in tracking taxon changes Andrew C. Jones, Richard J. White, Ewen R. Orme, School of Computer Science, Cardiff University,
Copyright © Cengage Learning. All rights reserved. Fundamental Concepts of Algebra 1.1 Real Numbers.
Transition to taxon concepts from a world of legacy data --- R.K. Peet 1, A.S. Weakley 1,2, X. Liu 1,3, & N. Franz 4,5 1 The University of North Carolina.
VegBank A vegetation field plot archive Produced at: The National Center for Ecological Analysis and Synthesis Principal Investigators: Robert K. Peet,
Classification and Phylogenetic Relationships
Fundamentals, Design, and Implementation, 9/e Appendix B The Semantic Object Model.
General Requirements for GUIDs for Taxonomic Names and Concepts Jessie Kennedy.
The challenge of organism identity --- The flora of the Southeast The flora of the Southeast as a case study Robert K. Peet University of North Carolina.
The Role of Networks in a Cyberinfrastructure Zack Murrell and Derick Poindexter Appalachian State University
VegBank and the ESA Cyber-infrastructure for Vegetation Science R.K. Peet, Don Faber-Langendoen, Michael Jennings, & Michael Lee Ecological Society of.
The challenge of biodiversity: Plot, organism and taxonomic databases Robert K. Peet University of North Carolina The National Plots Database Committee.
Globally Unique Identifiers: What, why, when, which and what now? Dave Thau University of Kansas
A vision for community involvement and integration Robert K. Peet & Alan S. Weakley Alan S. Weakley.
1 Math CAMPPP 2012 Plenary 1 Why students struggle with fractions.
More SQL: Complex Queries, Triggers, Views, and Schema Modification
Data sharing and exchange: Experiences within the
More SQL: Complex Queries,
Methodology Logical Database Design for the Relational Model
CLASSIFICATION VOCABULARY
Taxonomic and Community Classification Resources and Standards
Field Botany – Spring 2016.
LINEAR EQUATIONS.
LINEAR EQUATIONS.
Presentation transcript:

Taxonomic data issues: An ecologist’s experience R.K. Peet The University of North Carolina Adapted by J Kennedy

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.

Standard lists are available for Taxa Representative examples for higher plants in North America / US USDA Plants ITIS NatureServehttp:// BONAP Flora North America These are intended to be checklists wherein the taxa recognized perfectly partition all plants. The lists can be dynamic.

Abies lasiocarpa Abies bifolia Abies lasiocarpa sec. Little sec. USDA PLANTS sec. Flora North America Three concepts of subalpine fir Splitting one species into two illustrates the ambiguity often associated with scientific names.

USDA Plants & ITIS Abies lasiocarpa var. lasiocarpa above the red line var. arizonica below the red line One concept ofAbies lasiocarpa

Flora North America Abies Abies lasiocarpa Abies bifolia A narrow concept of Abies lasiocarpa

Andropogon virginicus complex in the Carolinas 9 elemental units; 17 base concepts

Standardized taxon lists fail to allow dataset integration The reasons include: Taxonomic concepts are not defined (just lists),Taxonomic concepts are not defined (just lists), Relationships among concepts are not definedRelationships among concepts are not defined The user cannot reconstruct the database as viewed at an arbitrary time in the past,The user cannot reconstruct the database as viewed at an arbitrary time in the past, Multiple party perspectives on taxonomic concepts and names cannot be supported or reconciled.Multiple party perspectives on taxonomic concepts and names cannot be supported or reconciled.

NameReferenceConcept Taxonomic concepts A taxon concept represents a unique combination of a name and a reference. Report -- name sec reference..

NameConceptUsage A usage represents an association of a concept with a name. The name used in defining the concept need not be the same name used in your work. e.g. Carya alba = Carya tomentosa sec. Gleason & Cronquist Usage can be used to apply multiple name systems to a concept

Relationships among concepts allow comparisons and conversions Congruent, equal (=) Includes (>) Included in (<) Overlaps (><) Disjunct (|) and others …

High-elevation fir trees of western US AZ NM CO WY MT AB eBC wBC WA OR var. arizonica Abies lasiocarpa Distribution USDA & ITIS Flora North America Abies bifoliaAbies lasiocarpa A. lasiocarpa sec USDA > A. lasiocarpa sec FNA A. lasiocarpa sec USDA >A. bifolia sec FNA A. lasiocarpa v. lasiocarpa sec USDA >A. lasiocarpa sec FNA A. lasiocarpa v. lasiocarpa sec USDA | A. bifolia sec FNA A. lasiocarpa v. arizonica sec USDA <A. bifolia sec FNA var. lasiocarpa

When reporting the identity of organisms in publications, data, or on specimens, provide the full scientific name of each kind of organism and the reference that provided the taxonomic concept. e.g., Abies lasiocarpa sec. Flora North America Best practice: Report taxa by reference to concepts.

Reference high-quality sources for taxon concepts such as a major compendium that provides its own defined concepts, or a source that references the concepts of others. Avoid checklists as they typically lack true taxonomic descriptions or circumscriptions. Best practice: Choose high-quality concepts

A name in a publication could be either a concept or an identification. An annotation is an identification. Identifications should include linkage to at least one concept, but need not be limited to a single concept. Concepts and identifications are distinct.

Documenting identifications Relationships added for identification =Indicates identification ~(or aff.) Indicates similarity ≡ Indicates identity, or defined as Example of complex identification < Potentilla sec. Cronquist ~ Potentilla simplex sec Cronquist ~ Potentilla canadensis sec Cronquist 1991

Fuzzy logic qualification 1 = Absolutely wrong 2 = Understandable but wrong 3 = Reasonable or acceptable 4 = Good answer 5 = Absolutely correct

Demonstration Projects Concept relationships of Southeastern US plants treated in different floras. Based on > 50,000 mapped concepts