The priority of prediction in ecological understanding
By J. Houlahan, S. T. McKinney, T. M. Anderson, Brian J. McGill. 2017
225 citations recorded by the source corpus.
Subfields: Ecological Modeling, Global and Planetary Change, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/bcd5354c6e7e7a827a9435d98796821dc715d8b8
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
- Wilfried Thuiller
- Jane Elith
- Antoine Guisan
- A. Townsend Peterson
- Miguel B. Araújo
- Jorge M. Lobo
- Janet Franklin
- Jorge Soberón
In Global and Planetary Change
- Antoine Guisan
- N. E. Zimmermann
- A. Townsend Peterson
- Miska Luoto
- Risto Heikkinen
- Janet Franklin
- J. M. Roberts
- J. Soininen
In Nature and Landscape Conservation
- Wilfried Thuiller
- Antoine Guisan
- Jane Elith
- A. Townsend Peterson
- Miguel B. Araújo
- Jorge M. Lobo
- Janet Franklin
- N. E. Zimmermann
Citations in the corpus
- Comparing sample bias correction methods for species distribution modeling using virtual species (2021, background): “The emphasis on predictive models over explanation has been a trend in ecology over the past several decades (Clark et al. 2001, Evans et al. 2012, Houlahan et al. 2017, Maris et al. 2018) and has led to substantial developments in predictive ecology, such as machine learning methods (Christin et…”
- A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels (2019, background): “(2017), Ridgeway (2017) GAM generalized additive models GAM.”
- Outstanding Challenges in the Transferability of Ecological Models. (2018, background): “[1] note, ‘transferability is critical to [scientific] understanding because understanding without transferability is [ .”