Predictive Distribution Models for Iberian Amphibians and Reptiles
Author Information
Author(s): JW Arntzen
Primary Institution: National Museum of Natural History – Naturalis
Hypothesis
The spatial-environmental modeling of atlas data is only potentially meaningful if at least some of the reported absences are definitely real.
Conclusion
Distribution models for edge-species may help in identifying parameters underlying species range and assist with conservation measures.
Supporting Evidence
- Descriptive model precision ranged from 'fair' to 'very good' for edge species.
- Models for edge species performed significantly better than those for countrywide species.
- Atlas data often inadequately model species distributions without range border data.
Takeaway
The study looks at how well we can predict where certain frogs and lizards live based on environmental factors, finding that some models work better than others.
Methodology
Distribution models were constructed using logistic regression and geographic information systems based on atlas data and ecological variables.
Potential Biases
Inadequate sampling and identification errors may bias parameter estimates and affect model selection.
Limitations
Atlas data in presence-absence format may be inadequate for modeling species distributions if the area does not include part of the range border.
Participant Demographics
The study focused on 17 amphibian and 21 reptile species in Portugal.
Statistical Information
P-Value
<0.001
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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