Estimating patterns of reptile biodiversity in remote regions
By Gentile Francesco Ficetola, Anna Bonardi, R. Sindaco, Emilio Padoa-Schioppa. 2013
99 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/121c0e7c1885a45ba4889ab1e41cdb71faf3bcf5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
- G. Colli
- C. Nogueira
- Emilio Padoa-Schioppa
- M. Vences
- M. Martins
- João F. Gonçalves
- Neftalí Sillero
- C. Rondinini
In Ecology
- Gentile Francesco Ficetola
- Emilio Padoa-Schioppa
- Anna Bonardi
- M. Martins
- João F. Gonçalves
- Neftalí Sillero
- C. Rondinini
- P. Lymberakis
In Global and Planetary Change
- M. Martins
- Emilio Padoa-Schioppa
- M. Vences
- Gentile Francesco Ficetola
- C. Nogueira
- João F. Gonçalves
- Neftalí Sillero
- C. Rondinini
Citations in the corpus
- Updated distribution and biogeography of amphibians and reptiles of Europe (2014, background): “…or Tel-mee (www.telmee.nl), the feedback of the centrally collected data into the national databases, and especially, the review and scientific validation process before the contributed data are included in these databases (Boakes et al., 2010; Bonter and Cooper, 2012; Ficetola et al., 2013).”
- An evaluation of the robustness of global amphibian range maps (2014, background): “distribution, richness and abundance, thus providing the information needed to set up conservation strategies (Grenyer et al., 2006; Finer et al., 2008; Lawler et al., 2010; Rondinini et al., 2011; Sandel et al., 2011; Hof et al., 2012; Ficetola et al., 2013).”
- Atlas of Brazilian Snakes: Verified Point-Locality Maps to Mitigate the Wallacean Shortfall in a Megadiverse Snake Fauna (2019, background): “We did not include in our database records obtained from online digitized biodiversity data (GBIF, HerpNet, or similar data repositories), as these often contain raw, error-prone, unverified data, especially in poorly studied taxa (see Beck et al., 2013; Ficetola et al., 2013; Meyer et al., 2015).”