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Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
It was found that methods specifically designed for collinearity, such as latent variable methods and tree based models, did not outperform the traditional GLM and threshold-based pre-selection and the value of GLM in combination with penalised methods and thresholds when omitted variables are considered in the final interpretation.
Methods to account for spatial autocorrelation in the analysis of species distributional data : a review
Species distributional or trait data based on range map (extent-of-occurrence) or atlas survey data often display spatial autocorrelation, i.e. locations close to each other exhibit more similar
Correlation and process in species distribution models: bridging a dichotomy
Within the field of species distribution modelling an apparent dichotomy exists between process‐based and correlative approaches, where the processes are explicit in the former and implicit in the
Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure
It is recommended that block cross-validation be used wherever dependence structures exist in a dataset, even if no correlation structure is visible in the fitted model residuals, or if the fitted models account for such correlations.
The importance of correcting for sampling bias in MaxEnt species distribution models
It is concluded that a substantial improvement in the quality of model predictions can be achieved if uneven sampling effort is taken into account, thereby improving the efficacy of species conservation planning.
Components of uncertainty in species distribution analysis: a case study of the Great Grey Shrike.
An analysis quantifying the contribution of uncertainty in each step during the model-building sequence to variation in model validity and climate change projection uncertainty found that model type and data quality dominated this analysis.
How to understand species’ niches and range dynamics: a demographic research agenda for biogeography
A demographic research agenda is formulated that entails advances in incorporating process-based models of demographic responses and range dynamics into a statistical framework, systematic collection of data on temporal changes in distribution and abundance and on the response of demographic rates to environmental variation, and improved theoretical understanding of the scaling of demographics rates and the dynamics of spatially coupled populations.
The virtual ecologist approach: simulating data and observers
The VE approach is an intuitive and powerful evaluation framework that allows a quality assessment of sampling protocols, analyses and modelling tools and could foster the integration of theoretical and empirical work and stimulate work that goes far beyond sampling methods, leading to new questions, theories, and better mechanistic understanding of ecological systems.