Is my species distribution model fit for purpose? Matching data and models to applications
The University of Melbourne · RMIT University
Abstract
Abstract Species distribution models ( SDM s) are used to inform a range of ecological, biogeographical and conservation applications. However, users often underestimate the strong links between data type, model output and suitability for end‐use. We synthesize current knowledge and provide a simple framework that summarizes how interactions between data type and the sampling process (i.e. imperfect detection and sampling bias) determine the quantity that is estimated by a SDM . We then draw upon the published literature and simulations to illustrate and evaluate the information needs of the most common ecological, biogeographical and conservation applications of SDM outputs. We find that, while predictions of…
Citation impact
- FWCI
- 82.90
- Percentile
- 100%
- References
- 87
Authors
9Topics & keywords
- Matching (statistics)
- Inference
- Computer science
- Sampling (signal processing)
- Imperfect
- Range (aeronautics)
- Process (computing)
- Sampling bias
- Life in Land