Evaluating resource selection functions

By M. Boyce, Pierre Vernier, Scott E. Nielsen, F. Schmiegelow. 2002

2,395 citations recorded by the source corpus.

Subfields: Ecological Modeling, Genetics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/36644d056a07772c5df82fa2194dbf41dec9709a

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In Ecological Modeling

In Genetics

In Nature and Landscape Conservation

Citations in the corpus

Species-specific traits associated to prediction errors in bird habitat suitability modelling (2005, methodology): “The predictive power of models was evaluated with a data-splitting strategy (similar to that in Boyce et al., 2002 ).”
Testing the ability of species distribution models to infer variable importance (2019, background): “CBI is the Pearson rank correlation between the ratio of binned frequencies of predictions at test occurrence sites and actual occurrences, and the ranks of the bins (Boyce et al. 2002; Hirzel et al. 2006).”
Shifting perceptions of risk and reward: Dynamic selection for human development by black bears in the western United States (2015, methodology): “We fit models using maximum likelihood estimation and used minimum Akaike Information Criterion (AIC) scores to assess the relative support of models with different fixed effects (Burnham and Anderson, 2002).”
Black bear adaptation to low productivity in the boreal forest (2008, methodology): “Finally, model fit was evaluated using all data as test data in the adapted version of K-Fold cross-validation (Boyce et al., 2002) proposed by Johnson et al. (2006).”
A MULTI-SCALE TEST OF THE FORAGE MATURATION HYPOTHESIS IN A PARTIALLY MIGRATORY UNGULATE POPULATION (2008, methodology): “…using VHF telemetry data from 58 migrant and 43 resident elk by comparing the area-adjusted frequency of used VHF locations to the area-adjusted frequency of available predicted probabilities within 10 equal availability ‘‘bins,’’ similar to k-folds crossvalidation (Boyce et al. 2002).”
The Behavioral Ecology of Nutrient Foraging by Plants (2011, methodology): “…predict the probability that a particular spatial unit will be used by an organism based on numerous factors (e.g., resources, temperature, predators, competitors) present in that spatial unit (Boyce et al. 2002, Lele & Keim 2006, MacKenzie et al. 2002, Manley et al. 2002, McLoughlin et al. 2010).”
Inferring habitat-suitability areas with ecological modelling techniques and GIS: A contribution to assess the conservation status of Vipera latastei (2006, methodology): “The habitat-suitability map was evaluated for predictive accuracy by a cross-validation procedure (Boyce et al., 2002).”
Spatial prediction of species distribution: an interface between ecological theory and statistical modelling (2002, methodology): “The approach was developed for the selection of resources by animals but is very similar to estimating plant species response curves ( Boyce et al., 2002 ).”
Assessing transferability of ecological models: an underappreciated aspect of statistical validation (2012, background): “…et al. 2009; Wenger et al. 2011a) and to a smaller extent whether models developed in one time period can predict a different time period with different weather or climatic conditions (Boyce et al. 2002; Araújo et al. 2005; Varela, Rodrı́guez & Lobo 2009; Buisson et al. 2010; Tuanmu et al. 2011).”
Modelling species distributions using regression quantiles (2007, neutral): “Ecologists are faced with a growing number of species distribution modelling techniques: for recent reviews see Guisan & Zimmerman (2000), Boyce et al. (2002), Guisan, Edwards & Hastie (2002), Guisan & Thuiller (2005), Redfern et al. (2006) and Austin (2007).”
Extended statistical approaches to modelling spatial pattern in biodiversity in northeast New South Wales. II. Community-level modelling (2002, methodology): “The approach is therefore analogous to that commonly employed to analyse ‘used-vs.-available’ data in the development of resource selection models (Manly et al. 1993; Boyce et al. 2002 ).”