Title |
Challenges in Identifying Sites Climatically Matched to the Native Ranges of Animal Invaders
|
---|---|
Published in |
PLOS ONE, February 2011
|
DOI | 10.1371/journal.pone.0014670 |
Pubmed ID | |
Authors |
Gordon H. Rodda, Catherine S. Jarnevich, Robert N. Reed |
Abstract |
Species distribution models are often used to characterize a species' native range climate, so as to identify sites elsewhere in the world that may be climatically similar and therefore at risk of invasion by the species. This endeavor provoked intense public controversy over recent attempts to model areas at risk of invasion by the Indian Python (Python molurus). We evaluated a number of MaxEnt models on this species to assess MaxEnt's utility for vertebrate climate matching. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 317 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 16 | 5% |
Mexico | 5 | 2% |
Brazil | 5 | 2% |
Germany | 4 | 1% |
United Kingdom | 4 | 1% |
Colombia | 3 | <1% |
Australia | 2 | <1% |
South Africa | 2 | <1% |
Portugal | 1 | <1% |
Other | 7 | 2% |
Unknown | 268 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 71 | 22% |
Student > Master | 63 | 20% |
Student > Ph. D. Student | 58 | 18% |
Student > Bachelor | 25 | 8% |
Student > Doctoral Student | 18 | 6% |
Other | 46 | 15% |
Unknown | 36 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 185 | 58% |
Environmental Science | 68 | 21% |
Earth and Planetary Sciences | 11 | 3% |
Social Sciences | 4 | 1% |
Biochemistry, Genetics and Molecular Biology | 2 | <1% |
Other | 11 | 3% |
Unknown | 36 | 11% |