Sampling in ecology and evolution – bridging the gap between theory and practice

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Invasive species distribution models – how violating the equilibrium assumption can create new insights (2012, methodology): “Our framework is capable of identifying the populations that are likely to undergo rapid adaptation, which could further be sampled for trait measurements and genetic analyses (e.g. Albert et al., 2010).”
Selecting pseudo‐absences for species distribution models: how, where and how many? (2012, background): “Although very informative, most of these previous studies used empirical data without knowing the true distribution of the species, the sampling design or presence data bias (for discussion on bias and sampling design, see Albert et al. 2010).”
Uncertainty associated with survey design in Species Distribution Models (2014, background): “, 2011), with the consequent critical effect on the ability of SDM to describe environmental limits of species’ distributions (Austin & Heyligers, 1989; Thuiller et al., 2004; Albert et al., 2010; Hortal et al., 2012).”
Measuring the relative effect of factors affecting species distribution model predictions (2014, methodology): “.,x5 by fitting a GLM to real data, projecting it throughout the study area and then treating the resulting spatial predictions as the true distributions (see Wisz & Guisan 2009; Albert et al. 2010).”