Sampling bias correction in species distribution models by quasi-linear Poisson point process

Bias correction in species distribution models: pooling survey and collection data for multiple species.

Presence-only records may provide data on the distributions of rare species, but commonly suffer from large, unknown biases due to their typically haphazard collection schemes. Presence-absence or count data collected in systematic, planned surveys are more reliable but typically less abundant.We proposed a probabilistic model to allow for joint analysis of presence-only and survey data to expl...

Performance tradeoffs in target-group bias correction for species distribution models

question to the fi tting of statistical distribution models to P-O datasets (i.e. model calibration; Chefaoui and Lobo 2008, Vanderwal et al. 2009, Barbet-Massin et al. 2012). A fundamental assumption in SDM calibration is the unbiased sampling of available conditions in the environmental space (Araú jo and Guisan 2006, Pearce and Boyce 2006). However, sampling bias is a widespread issue since ...

Parametric bootstrap methods for bias correction in linear mixed models

The empirical best linear unbiased predictor (EBLUP) in the linear mixed model (LMM) is useful for the small area estimation, and the estimation of the mean squared error (MSE) of EBLUP is important as a measure of uncertainty of EBLUP. To obtain a second-order unbiased estimator of the MSE, the second-order bias correction has been derived mainly based on Taylor series expansions. However, thi...

Sampling from the posterior distribution in generalized linear mixed models

Stacking species distribution models and adjusting bias by linking them to macroecological models

Aim Species distribution models (SDMs) are common tools in biogeography and conservation ecology. It has been repeatedly claimed that aggregated (stacked) SDMs (S-SDMs) will overestimate species richness. One recently suggested solution to this problem is to use macroecological models of species richness to constrain S-SDMs. Here, we examine current practice in the development of S-SDMs to iden...