Bayesian Methods to Analyze Historical Collections in Time and Space: A Case Study Using Cabo Verde Endemic Flora
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 impo...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-03-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fpls.2020.00278/full |
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| author | Maria M. Romeiras Maria M. Romeiras Mark Carine Maria Cristina Duarte Silvia Catarino Filipe S. Dias Filipe S. Dias Luís Borda-de-Água Luís Borda-de-Água |
| author_facet | Maria M. Romeiras Maria M. Romeiras Mark Carine Maria Cristina Duarte Silvia Catarino Filipe S. Dias Filipe S. Dias Luís Borda-de-Água Luís Borda-de-Água |
| author_sort | Maria M. Romeiras |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-18T11:41:11Z |
| format | Article |
| id | doaj.art-cced8a6964eb4db78df206af3d07d584 |
| institution | Directory Open Access Journal |
| issn | 1664-462X |
| language | English |
| last_indexed | 2024-12-18T11:41:11Z |
| publishDate | 2020-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj.art-cced8a6964eb4db78df206af3d07d5842022-12-21T21:09:25ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2020-03-011110.3389/fpls.2020.00278512541Bayesian Methods to Analyze Historical Collections in Time and Space: A Case Study Using Cabo Verde Endemic FloraMaria M. Romeiras0Maria M. Romeiras1Mark Carine2Maria Cristina Duarte3Silvia Catarino4Filipe S. Dias5Filipe S. Dias6Luís Borda-de-Água7Luís Borda-de-Água8LEAF, Linking Landscape, Environment, Agriculture and Food, Instituto Superior de Agronomia (ISA), Universidade de Lisboa, Lisbon, PortugalCentre for Ecology, Evolution and Environmental Changes (cE3c), Faculdade de Ciências, Universidade de Lisboa, Campo Grande, PortugalDepartment of Life Sciences, The Natural History Museum, London, United KingdomCentre for Ecology, Evolution and Environmental Changes (cE3c), Faculdade de Ciências, Universidade de Lisboa, Campo Grande, PortugalLEAF, Linking Landscape, Environment, Agriculture and Food, Instituto Superior de Agronomia (ISA), Universidade de Lisboa, Lisbon, PortugalCIBIO/InBio, Centro de Investigação em Biodiversidade e Recursos Genéticos, Laboratório Associado, Universidade do Porto, Campus Agrário de Vairão, Vairão, PortugalCIBIO/InBio, Centro de Investigação em Biodiversidade e Recursos Genéticos, Laboratório Associado, ISA, Universidade de Lisboa, Lisbon, PortugalCIBIO/InBio, Centro de Investigação em Biodiversidade e Recursos Genéticos, Laboratório Associado, Universidade do Porto, Campus Agrário de Vairão, Vairão, PortugalCIBIO/InBio, Centro de Investigação em Biodiversidade e Recursos Genéticos, Laboratório Associado, ISA, Universidade de Lisboa, Lisbon, PortugalBiological 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.https://www.frontiersin.org/article/10.3389/fpls.2020.00278/fullBayesian methodsGaussian processesMacaronesian islandsscientific expeditionsspecies discoverytype specimens |
| spellingShingle | Maria M. Romeiras Maria M. Romeiras Mark Carine Maria Cristina Duarte Silvia Catarino Filipe S. Dias Filipe S. Dias Luís Borda-de-Água Luís Borda-de-Água Bayesian Methods to Analyze Historical Collections in Time and Space: A Case Study Using Cabo Verde Endemic Flora Frontiers in Plant Science Bayesian methods Gaussian processes Macaronesian islands scientific expeditions species discovery type specimens |
| title | Bayesian Methods to Analyze Historical Collections in Time and Space: A Case Study Using Cabo Verde Endemic Flora |
| title_full | Bayesian Methods to Analyze Historical Collections in Time and Space: A Case Study Using Cabo Verde Endemic Flora |
| title_fullStr | Bayesian Methods to Analyze Historical Collections in Time and Space: A Case Study Using Cabo Verde Endemic Flora |
| title_full_unstemmed | Bayesian Methods to Analyze Historical Collections in Time and Space: A Case Study Using Cabo Verde Endemic Flora |
| title_short | Bayesian Methods to Analyze Historical Collections in Time and Space: A Case Study Using Cabo Verde Endemic Flora |
| title_sort | bayesian methods to analyze historical collections in time and space a case study using cabo verde endemic flora |
| topic | Bayesian methods Gaussian processes Macaronesian islands scientific expeditions species discovery type specimens |
| url | https://www.frontiersin.org/article/10.3389/fpls.2020.00278/full |
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