Selecting thresholds for the prediction of species occurrence with presence‐only data
Arthur Rylah Institute for Environmental Research
Abstract
Abstract Aim Species distribution models have been widely used to tackle ecological, evolutionary and conservation problems. Most species distribution modelling techniques produce continuous suitability predictions, but many real applications (e.g. reserve design, species invasion and climate change impact assessment) and model evaluations require binary outputs, and thresholds are needed for these transformations. Although there are many threshold selection methods for presence/absence data, it is unclear whether these are suitable for presence‐only data. In this paper, we investigate mathematically and empirically which of the existing threshold selection methods can be used confidently with presence‐only…
Citation impact
- FWCI
- 65.78
- Percentile
- 100%
- References
- 40
Authors
3Topics & keywords
- Selection (genetic algorithm)
- Environmental niche modelling
- Sensitivity (control systems)
- Computer science
- Set (abstract data type)
- Species distribution
- Data set
- Threshold model