Thumbnail Image
Item

Bayesian Methods to Analyze Historical Collections in Time and Space: A Case Study Using Cabo Verde Endemic Flora

Romeiras, Maria M
; ; 
Duarte, Maria Cristina
; 
Catarino, Silvia
; 
Dias, Filipe S
; 
Borda-de-Água, Luís
Citations
Altmetric:
Advisors
Editors
Other Contributors
Affiliation
EPub Date
Issue Date
2020-03-13
Submitted Date
2019-11-16
Subject Terms
Bayesian methods
Gaussian processes
Macaronesian islands
scientific expeditions
species discovery
type specimens
Collections
Life sciences
Show all metadata
Files
Thumbnail Image
Published version
Adobe PDF, 2.75 MB
Research Projects
Organizational Units
Journal Issue
Other Titles
Abstract
Biological collections, including herbarium specimens, are unique sources of biodiversity data presenting a window on the history of the development and accumulation of knowledge of a specific geographical region. Understanding how the process of discovery impacts that knowledge is particularly important for oceanic islands which are often characterized by both high levels of endemic diversity and high proportions of threatened taxa. The archipelagos of the Macaronesian region (i.e. Azores, Canaries, Savages, Madeira, and Cabo Verde) have been the focus of attention for scientific expeditions since the end of the 17th century. However, there is no integrated study describing the historical process of collecting, discovery and description of its flora. Using as a case study the Cabo Verde endemic angiosperm flora, we review the history of collecting in the flora and apply a Bayesian approach to assess the accumulation of species discovery, through time and space across the nine islands of the archipelago. Our results highlight the central role not only of natural characteristics (e.g. area, age, maximum altitude and average value of the terrain ruggedness index) but also historical factors (i.e. the location of major harbors) for the development of knowledge of the flora. The main factors that have determined the process of species description in the archipelago and how this impact our understanding of diversity patterns across archipelagos are discussed.
Citation
Romeiras MM, Carine M, Duarte MC, Catarino S, Dias FS and Borda-de-Água L (2020) Bayesian Methods to Analyze Historical Collections in Time and Space: A Case Study Using Cabo Verde Endemic Flora. Front. Plant Sci. 11:278. doi: 10.3389/fpls.2020.00278
Publisher
Frontiers Media SA
Journal
Frontiers in Plant Science
Research Unit
URI
http://hdl.handle.net/10141/623382
DOI
10.3389/fpls.2020.00278
PubMed ID
PubMed Central ID
Embedded videos
Type
Journal Article
Item Description
Copyright © 2020 Romeiras, Carine, Duarte, Catarino, Dias and Borda-de-Água. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. The attached file is the published version of the article.
NHM Repository
Series/Report no.
ISSN
1664-462X
EISSN
1664-462X
ISBN
ISMN
GovDoc
Test Link
License
openAccess
cb
Sponsors