Terrestrial Plant Collection (Herbarium Vouchers) (NEON-TPLC-HV)

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This collection contains terrestrial plant vouchers collected from select species during plant diversity sampling (NEON sample class: div_voucher_in.voucherSampleID.pla). Plant species diversity is measured once or twice annually in the field. The plot-based method yields plant species data at multiple scales that provide an understanding of changes in composition, distribution, and abundance of native and non-native plant species. The data is comparable within and across NEON sites and to other continental plant diversity efforts to allow for a comprehensive understanding of the impacts of the drivers of change on the diversity of plant species and the functional role they play in ecological systems. A subset of observed plant species is collected and archived. These vouchers are housed at NEON facilities for reference and archived in the NEON Biorepository's herbarium. See related links below for protocols and NEON related data products.

Herbarium

Contacts: NEON Biorepository, biorepo@asu.edu
Collection Manager: Laura Steger, lsteger@asu.edu (ORCID #: 0000-0002-0878-4132)
Specimen Imaging (2021-2022): Christopher Livingston, calivin3@asu.edu (ORCID #: 0000-0001-8676-0817)
Voucher Mounting (2021-2022): Annessa Lyle, amfoss1@asu.edu (ORCID #: 0000-0001-9632-9721)
Mounting and Imaging (2024): Ava Claus, alclaus@asu.edu (ORCID #: 0009-0003-4944-688X)
Collection Type: Preserved Specimens
Management: Live Data managed directly within data portal
Global Unique Identifier: 951b3637-fded-4c51-a565-e0e12063c408
Digital Metadata: EML File
GBIF Dataset page: http://www.gbif.org/dataset/3fed506c-d04f-4cd4-b373-bd602572f39b
Cite this collection:
NEON Biorepository Data Portal (2024). NEON Biorepository Terrestrial Plant Collection (Herbarium Vouchers). Occurrence dataset https://doi.org/10.15468/bmmg36 accessed via the NEON Biorepository Data Portal, https://biorepo.neonscience.org/ on 2024-11-24.
Collection Statistics
  • 3,380 specimen records
  • 3,365 (100%) georeferenced
  • 2,860 (85%) with images (2,880 total images)
  • 3,352 (99%) identified to species
  • 168 families
  • 752 genera
  • 1,529 species
  • 1,647 total taxa (including subsp. and var.)
Extra Statistics
Show Geographic Distribution
Show Family Distribution