Floristic and ethnobotanical study of ferns and allies in central Mexican states of Puebla, Guerrero, and Oaxaca (Independent-Ferns)
This collection is the result of a collaboration between Jonathan D. Amith (who led a team for a series of community-based floristic and ethnobotanical studies of approximately a dozen communities in the states of Puebla, Guerrero, and Oaxaca) and Daniel Tejero and Eric Schuettpelz, fern experts who have collected in the same regions. Amith’s teams included Canek Ledesma Corral, Miriam Jímenez Chimil, Mariano Gorostiza Salazar, Anastasio Sotero Hernández, and Pilar Mendoza.
Status of documentation: The floristic study of ferns and allies has produced a total of 1,222 collections with 1218 in Puebla and 4 in Veracruz (very close to the Puebla). Of these a total of 569 were collected by Amith and teams working on projects that he directed. Daniel Tejero collected 417 ferns and allies in an effort that he coordinated with Amith. Finally, Amith invited Eric Schuettpelz (Smithsonian Institution) to collect in the Sierra Nororiental de Puebla with his own support team. Schuettpelz collected 236 specimens, part of the present database. Schuettpelz and Aleksandar Radosavljevic are presently sequencing rbcL for all 1,222 specimens. This will be used to study local phylogeny and create a DNA barcode reference library for identification to species of tissue from future collections. All identifications to species of the original 1,222 collections were provided by Daniel Tejero-Díez.
Funding support: Generous support for floristic and ethnobotanical research was provided by the National Science Foundation, Documenting Endangered Languages; National Endowment for the Humanities, Preservation and Access; the Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (Mexico); and the Endangered Language Documentation Programme (School of Oriental and African Studies, London).
Contact: Jonathan D. Amith (email@example.com)
Collection Type: Preserved Specimens
Management: Live Data managed directly within data portal
Global Unique Identifier: eac374a5-a6f1-4ec0-b3d8-efb06fd01310
Live Data Download: Login for access
Digital Metadata: EML File
Usage Rights: CC BY-NC (Attribution-Non-Commercial)