Variation in niche and distribution model performance: The need for a priori assessment of key causal factors

By E. Saupe, Vijay Barve, C. Myers, Jorge Soberón, N. Barve, C. Hensz, A. Townsend Peterson, H. Owens, A. Lira‐Noriega. 2012

237 citations recorded by the source corpus.

Subfields: Ecological Modeling, Genetics

View Paper: https://www.semanticscholar.org/paper/0053bb1a5509e81dc292d28607cc8270fef0771f

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

1. A. Townsend Peterson
2. Jorge Soberón
3. Antoine Guisan
4. Monica Papes
5. O. Broennimann
6. Wilfried Thuiller
7. R. P. Anderson
8. Sunil Kumar

In Genetics

1. A. Townsend Peterson
2. Jorge Soberón
3. Monica Papes
4. Jacob C. Cooper
5. Sunil Kumar
6. Antoine Guisan
7. W. Yee
8. Lisa G. Neven

Citations in the corpus

• Mechanistic and Correlative Models of Ecological Niches (2015, background): “…papers based on simulated species have demonstrated that some scenarios of joint effects of A, B, and M are impossible to disentangle and explore using correlational approaches (Saupe et al. 2012), particularly when models are to be transferred to other landscapes or times (Owens et al. 2013).”
• Species Distribution Modeling and Ecological Niche Modeling: Getting the Concepts Right (2012, unknown): “From Saupe et al. (2012).”
• Creating individual accessible area hypotheses improves stacked species distribution model performance (2018, background): “, large rivers, mountain ranges) and known or hypothesized dispersal distances yielded more accurate models and reduced these errors (Barve et al., 2011; Owens et al., 2013; Royle, Chandler, Yackulic, & Nichols, 2012; Saupe et al., 2012).”
• Evaluating correlative and mechanistic niche models for assessing the risk of pest establishment (2014, methodology): “The background extent in MaxEnt was defined based on the Biotic-Abiotic-Mobility (BAM) diagram, a framework suggested by Soberon and Peterson (2005); and included regions that have been accessible to R. indifferens since 1900s (Barve et al. 2011, Saupe et al. 2012; Appendix: Fig.”
• Measuring the relative effect of factors affecting species distribution model predictions (2014, methodology): “…et al. 2010), defining theoretical response functions (e.g. Hirzel & Guisan 2002), delimiting theoretical ranges along environmen- tal gradients (e.g. Saupe et al. 2012) or using more dynamic approaches (e.g. Zurell et al. 2010) and then treating the resulting spatial predictions as the true…”