SwePub
Sök i LIBRIS databas

  Extended search

WFRF:(Braz H. B.)
 

Search: WFRF:(Braz H. B.) > (2018) > Patterns, biases an...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Patterns, biases and prospects in the distribution and diversity of Neotropical snakes

Guedes, Thaís (author)
Gothenburg University,Göteborgs universitet,Institutionen för biologi och miljövetenskap,Department of Biological and Environmental Sciences
Sawaya, R. J. (author)
Zizka, Alexander, 1986 (author)
Gothenburg University,Göteborgs universitet,Institutionen för biologi och miljövetenskap,Department of Biological and Environmental Sciences
show more...
Laffan, S. (author)
Faurby, Sören, 1981 (author)
Gothenburg University,Göteborgs universitet,Institutionen för biologi och miljövetenskap,Department of Biological and Environmental Sciences
Pyron, R. A. (author)
Bernils, R. S. (author)
Jansen, M. (author)
Passos, P. (author)
Prudente, A. L. C. (author)
Cisneros-Heredia, D. F. (author)
Braz, H. B. (author)
Nogueira, C. D. (author)
Antonelli, Alexandre, 1978 (author)
Gothenburg University,Göteborgs universitet,Institutionen för biologi och miljövetenskap,Department of Biological and Environmental Sciences
show less...
 (creator_code:org_t)
2017-11-23
2018
English.
In: Global Ecology and Biogeography. - : Wiley. - 1466-822X .- 1466-8238. ; 27:1, s. 14-21
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • Motivation: We generated a novel database of Neotropical snakes (one of the world's richest herpetofauna) combining the most comprehensive, manually compiled distribution dataset with publicly available data. We assess, for the first time, the diversity patterns for all Neotropical snakes as well as sampling density and sampling biases. Main types of variables contained: We compiled three databases of species occurrences: a dataset downloaded from the Global Biodiversity Information Facility (GBIF), a verified dataset built through taxonomic work and specialized literature, and a combined dataset comprising a cleaned version of the GBIF dataset merged with the verified dataset. Spatial location and grain: Neotropics, Behrmann projection equivalent to 1 degrees x 1 degrees. Results: The combined dataset provides the most comprehensive distribution database for Neotropical snakes to date. It contains 147,515 records for 886 species across 12 families, representing 74% of all species of snakes, spanning 27 countries in the Americas. Species richness and phylogenetic diversity show overall similar patterns. Amazonia is the least sampled Neotropical region, whereas most well-sampled sites are located near large universities and scientific collections. We provide a list and updated maps of geographical distribution of all snake species surveyed. Main conclusions: The biodiversity metrics of Neotropical snakes reflect patterns previously documented for other vertebrates, suggesting that similar factors may determine the diversity of both ectothermic and endothermic animals. We suggest conservation strategies for high-diversity areas and sampling efforts be directed towards Amazonia and poorly known species.

Subject headings

NATURVETENSKAP  -- Biologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences (hsv//eng)
NATURVETENSKAP  -- Geovetenskap och miljövetenskap (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences (hsv//eng)

Keyword

conservation
data availability
GBIF
geographical distribution
phylogenetic diversity
sampling gaps
phylogenetic diversity
threat status
biodiversity
worlds
priorities
knowledge
reptiles
Environmental Sciences & Ecology
Physical Geography

Publication and Content Type

ref (subject category)
art (subject category)

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view