RangeShifter: a platform for modelling spatial eco‐evolutionary dynamics and species' responses to environmental changes

198 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A synthesis of empirical plant dispersal kernels (2017, background): “Current approaches use a small number of empirical data sets (Bullock 2012) or simple, predetermined dispersal functions, such as the exponential (Engler & Guisan 2009; Bocedi et al. 2014).”
Improving the forecast for biodiversity under climate change (2016, background): “2) (17, 18, 22), and canbetter characterize uncertainty by directly modeling error sources (2, 21, 23).”
Mechanistic modelling of animal dispersal offers new insights into range expansion dynamics across fragmented landscapes (2014, methodology): “1.0 (Bocedi et al. 2014), for simulating range shifting dynamics of species.”
Looking beyond the mountain: Dispersal barriers in a changing world (2016, background): “The route taken in the modeling of spatial distribution shifts under global change (eg Bocedi et al. 2014) shows how dispersal evolution can be taken into account, although such approaches are so far limited to single, actively dispersing species.”