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Functional trait space and the latitudinal diversity gradient
TLDR
A conceptual framework for testing theories for the latitudinal gradient of species richness in terms of variation in functional diversity at the alpha, beta, and gamma scales is presented and suggests that multiple processes have shaped trait diversity in trees, reflecting no consistent support for any one theory.
World checklist of hornworts and liverworts
TLDR
The first-ever worldwide checklist for liverworts and hornworts is presented that includes 7486 species in 398 genera representing 92 families from the two phyla, providing a valuable tool for taxonomists and systematists, analyzing phytogeographic and diversity patterns, aiding in the assessment of floristic and taxonomic knowledge, and identifying geographical gaps.
The BIEN R package: A tool to access the Botanical Information and Ecology Network (BIEN) database
TLDR
An r package that provides easy access to large-scale botanical data in the BIEN database by turning user inputs into optimised PostgreSQL functions and developing a protocol for providing customised citations and herbarium acknowledgements for data downloaded through the bien r package.
A Re-evaluation of Cheilolejeunea subgenus Xenolejeunea
TLDR
A new sectional classification of subgenus Xenolejeunea is proposed (sections Gigantae, Meyenianae, and Xenolejunea), which is known from Australasia, Oceania and tropical Asia, and a nomenclator and discussion is provided for each species.
Digitization of The New York Botanical Garden Herbarium
The William and Lynda Steere Herbarium of The New York Botanical Garden has been digitizing specimens since 1995. At first, digitization included only specimen label data transcription, but specimen
Increasing the efficiency of digitization workflows for herbarium specimens
TLDR
With the launch of the National Science Foundation’s new Advancing Digitization of Biological Collections program, The New York Botanical Garden hopes to move forward with larger, more efficient digitization projects, capturing data from larger portions of the herbarium at a fraction of the cost and time.
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