Data from: Improving spatial predictions of taxonomic, functional and phylogenetic diversity

Manuela D'Amen, Ruben G. Mateo, Julien Pottier, Wilfried Thuiller, Luigi Maiorano, Loïc Pellissier, Charlotte Ndiribe, Nicolas Salamin & Antoine Guisan
1. In this study, we compare two community modelling approaches to determine their ability to predict the taxonomic, functional and phylogenetic properties of plant assemblages along a broad elevation gradient and at a fine resolution. The first method is the standard stacking individual species distribution modelling (SSDM) approach, which applies a simple environmental filter to predict species assemblages. The second method couples the SSDM and macroecological modelling (MEM - SSDM-MEM) approaches to impose a limit...
1 citation reported since publication in 2018.
118 views reported since publication in 2018.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?
27 downloads reported since publication in 2018.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?