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Taxonomic & data-quality challenges of large-scale citizen science: Examples from - PowerPoint PPT Presentation

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Taxonomic & data-quality challenges of large-scale citizen science: Examples from

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  1. Taxonomic & data-quality challenges of large-scale citizen science:Examples from Marshall J. Iliff, eBird Project Leader

  2. Growth in eBird Observations & Checklists Observations Checklists

  3. In 2009, volunteers contributed more than 780,000 hours collecting bird observations.

  4. The eBird Taxonomy (v1.05) • User familiarity is the goal • Familiar Clements 6.4 is base global taxonomy • Follows recognized regional authorities for taxonomic and nomenclatural decisions • Standardized English and Scientific Names for all taxa • Translations in other languages • http://ebird.org/content/ebird/about/ebird-taxonomy for download • Personal support for taxonomic questions

  5. The eBird Taxonomy (v1.05) • User familiarity is the goal • Familiar Clements 6.4 is base global taxonomy • Follows recognized regional authorities for taxonomic and nomenclatural decisions • Standardized English and Scientific Names for all taxa • Translations in other languages • http://ebird.org/content/ebird/about/ebird-taxonomy for download • Personal support for taxonomic questions

  6. The eBird Taxonomy (v1.05) • User familiarity is the goal • Familiar Clements 6.4 is base global taxonomy • Follows recognized regional authorities for taxonomic and nomenclatural decisions • Standardized English and Scientific Names for all taxa • Translations in other languages • http://ebird.org/content/ebird/about/ebird-taxonomy for download • Personal support for taxonomic questions

  7. The eBird Taxonomy (v1.05) • User familiarity is the goal • Familiar Clements 6.4 is base global taxonomy • Follows recognized regional authorities for taxonomic and nomenclatural decisions • Standardized English and Scientific Names for all taxa • Translations in other languages • http://ebird.org/content/ebird/about/ebird-taxonomy for download • Personal support for taxonomic questions

  8. The eBird Taxonomy (v1.05) • User familiarity is the goal • Familiar Clements 6.4 is base global taxonomy • Follows recognized regional authorities for taxonomic and nomenclatural decisions • Standardized English and Scientific Names for all taxa • Translations in other languages • http://ebird.org/content/ebird/about/ebird-taxonomy for download • Personal support for taxonomic questions

  9. The eBird Taxonomy (v1.05) • User familiarity is the goal • Familiar Clements 6.4 is base global taxonomy • Follows recognized regional authorities for taxonomic and nomenclatural decisions • Standardized English and Scientific Names for all taxa • Translations in other languages • http://ebird.org/content/ebird/about/ebird-taxonomyfor download • Personal support for taxonomic questions

  10. The eBird Taxonomy (v1.05) • User familiarity is the goal • Familiar Clements 6.4 is base global taxonomy • Follows recognized regional authorities for taxonomic and nomenclatural decisions • Standardized English and Scientific Names for all taxa • Translations in other languages • http://ebird.org/content/ebird/about/ebird-taxonomy for download • Personal support for taxonomic questions

  11. The eBird Taxonomy eBird 1.05 Taxa: 11,920

  12. The eBird Taxonomy eBird 1.05 Taxa: 11,920 Species: e.g., Ivory Gull 10,005

  13. The eBird Taxonomy eBird 1.05 Taxa: 11,920 Species: 10,005 Ssp. groups: e.g., “Western” Willet 1333

  14. The eBird Taxonomy eBird 1.05 Taxa: 11,920 Species: 10,005 Ssp. groups: 1333 435 Spuhs: e.g., Empidonax sp.

  15. The eBird Taxonomy eBird 1.05 Taxa: 11,920 Species: 10,005 Ssp. groups: 1333 435 Spuhs: 113 Hybrids: e.g., Snowy Egret x Tricolored Heron

  16. The eBird Taxonomy eBird 1.05 Taxa: 11,920 Species: 10,005 Ssp. groups: 1333 435 Spuhs: 113 Hybrids: 34 Others: e.g., “Domestic” Mallard, undescribed species

  17. eBird Data Quality: Crowdsourcing • 1100 automated filters check every submission • Flagged records require validation • ~300 experts vet all flagged records and request voucher material when needed • ~1,000,000 record reviewed annually; 67% accepted

  18. eBird Data Quality: Crowdsourcing • 1100 automated filters check every submission • Flagged records require validation • ~300 experts vet all flagged records and request voucher material when needed • ~1,000,000 record reviewed annually; 67% accepted

  19. eBird Data Quality: Crowdsourcing • 1100 automated filters check every submission • Flagged records require validation • ~300 experts vet all flagged records and request voucher material when needed • ~1,000,000 record reviewed annually; 67% accepted

  20. eBird Data Quality: Crowdsourcing • 1100 automated filters check every submission • Flagged records require validation • ~300 experts vet all flagged records and request voucher material when needed • ~1,000,000 record reviewed annually; 67% accepted

  21. Indigo Bunting | Full Year

  22. Chimney Swift | Full Year

  23. Indigo Bunting | Breeding Detroit Chicago St. Louis Atlanta

  24. Chimney Swift | Breeding Chicago Atlanta Dallas Houston

  25. and beyond…