• English
    • svenska
  • English 
    • English
    • svenska
  • Login
View Item 
  •   Home
  • Faculty of Science / Naturvetenskapliga fakulteten
  • Department of Biological and Environmental Sciences / Institutionen för biologi och miljövetenskap (2012-)
  • Doctoral Theses / Doktorsavhandlingar Institutionen för biologi och miljövetenskap
  • View Item
  •   Home
  • Faculty of Science / Naturvetenskapliga fakulteten
  • Department of Biological and Environmental Sciences / Institutionen för biologi och miljövetenskap (2012-)
  • Doctoral Theses / Doktorsavhandlingar Institutionen för biologi och miljövetenskap
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Big data insights into the distribution and evolution of tropical diversity

Abstract
Tropical America (the Neotropics) and tropical Africa have comparable climate and share a geological history as parts of Gondwana. Nevertheless, the Neotropics today harbour roughly three times more flowering plant species than tropical Africa. The role of evolutionary history in generating this pattern remains poorly understood, mostly because collecting biological specimens in the tropics is difficult. Species occurrence information from collections in museums and herbaria has the potential to overcome this gap and, for the first time, enable an understanding of tropical biodiversity on a global scale across the tree of life. However, uncertain data quality and methodological limitations to process large amounts of data often hamper the use of collection records in biogeographic analyses, especially in historical biogeography invoking phylogenetic trees. In this thesis I first (co-)develop three software tools to process large amounts of species occurrence data in biogeography: (1) CoordinateCleaner to test and insure data quality in large data sets of species and fossil occurrences, (2) SpeciesGeoCoder to include large-scale species distribution data in historical biogeography, and (3) Infomap Bioregions to delimit taxon-specific bioregions. I then apply these tools to identify processes underlying the evolution of tropical diversity across multiple taxonomic groups. The results suggest a significantly higher species turnover in the Neotropics compared to other tropical regions and identify this region, especially Amazonia, as a global species pump. Furthermore, shifts among different bioregions and biomes are more common than expected in evolutionary lineages of the Neotropics, and are potential drivers of diversification. The results show that biome shifts into seasonally dry biomes are particularly common, and increased during the last 20 million years, especially in the Bombacoideae (Malvaceae), a pantropical group with highest diversity in the Neotropics. The presented results shed further light on the evolutionary history of the differences in biodiversity across Earth's tropical regions, and provide a methodological route forward to integrate large-scale species occurrence data with information on species' evolutionary relationships to reveal general processes underlying the evolution of biodiversity across taxonomic borders.
Parts of work
I - Maldonado C, Molina CI, Zizka A, Persson C, Taylor CM, Albán J, Chilquillo E, Rønsted N & Antonelli A (2015), Estimating species diversity and distribution in the era of Big Data:to what extent can we trust public databases? Global Ecology and Biogeography 24(8): 973-984. ::doi::10.1111/geb.12326
 
II - Zizka A, Silvestro D, Andermann T, Azevedo J, Duarte Ritter C, Farooq H, Herdean A, Ariza Salazar MdlA, Scharn R, Svanteson S, Wengström N, Zizka V & Antonelli A, CoordinateCleaner: new tools for the automated cleaning of geographic occurrences from biological collections. Manuscript, submitted to Methods in Ecology and Evolution.
 
III - Töpel M, Zizka A, Calió MF, Scharn R, Silvestro D & Antonelli A (2017), Species-GeoCoder: Fast categorisation of species occurrences for analyses of biodiversity, biogeography, ecology and evolution. Systematic Biology 66(2): 145-151. ::doi::10.1093/sysbio/syw064
 
IV - Edler D, Guedes T, Zizka A, Rosvall M & Antonelli A (2017), Infomap Bioregions: Interactive mapping of biogeographical regions from species distributions. Systematic Biology 66(2): 197-204. ::doi::10.1093/sysbio/syw087
 
V - Zizka A, ter Steege H, de Céo M & Antonelli A (2018), Finding needles in the haystack: Where to look for rare species in the American Tropics. Ecography 40: 321-330. ::doi::10.1111/ecog.02192
 
VI - Antonelli A, Zizka A, Carvalho FA, Scharn R, Silvestro D, Bacon CD & Condamine F, Amazonia is the primary source of Neotropical biodiversity. Manuscript, submitted to Proceedings of the National Academy of Sciences USA.
 
VII - Antonelli A, Zizka A, Silvestro D, Scharn R, Cascales-Miñana B & Bacon CD (2015), An engine for global plant diversity: highest evolutionary turnover and emigration in the American Tropics. Frontiers in Genetics 6: 14pp. ::doi::10.3389/fgene.2015.00130
 
VIII - Zizka A, Carvalho-Sobrinho JG, Pennington RT, Queiroz L, Alcantara A, Baum D, Bacon CD & Antonelli A, Biome shifts are common, directional, and increase through time in Bombacoideae (Malvaceae). Manuscript.
 
Degree
Doctor of Philosophy
University
University of Gothenburg. Faculty of Science
Institution
Department of Biological and Environmental Sciences ; Institutionen för biologi och miljövetenskap
Disputation
Fredagen den 27 april 2018, kl 10:00, Hörsaalen, Institution för Biologi och Miljövetenskap, Carl Skottsbergs gata 22B
Date of defence
2018-04-27
E-mail
alexander.zizka@bioenv.gu.se
URI
http://hdl.handle.net/2077/55303
Collections
  • Doctoral Theses / Doktorsavhandlingar Institutionen för biologi och miljövetenskap
  • Doctoral Theses from University of Gothenburg / Doktorsavhandlingar från Göteborgs universitet
View/Open
Thesis frame (18.18Mb)
gupea_2077_55303_2.pdf (45.38Kb)
Date
2018-04-06
Author
Zizka, Alexander
Keywords
Amazonia
automated data cleaning
biome shifts
Bombacoideae
data quality
GBIF
Neotropics
tropical plant diversity
Publication type
Doctoral thesis
ISBN
978-91-88509-13-0
Language
eng
Metadata
Show full item record

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV
 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV