Code for: Landform and lithospheric development contribute the assembly of mountain floras in China

Although it is well documented that mountains tend to exhibit high biodiversity, how geological processes affect the assemblage of montane floras is a matter of ongoing research. Here, we explore landform-specific differences among montane floras based on a dataset comprising 17,576 angiosperm species representing 140 Chinese mountain floras, which we define as the collection of all angiosperm species growing on a specific mountain. Our results show that igneous bedrock (granitic and karst-granitic landforms) is correlated with higher species richness and phylogenetic overdispersion, while the opposite is true for sedimentary bedrock (karst, Danxia, and desert landforms), which is correlated with phylogenetic clustering. Furthermore, we show that landform type was the primary determinant of the assembly of evolutionarily older species within floras, while climate was a greater determinant for younger species. Our study indicates that landform type not only affects montane species richne..., , , This file includes ten R script and associated input data to generate the figures and tables of Zhao et al., (2024). R script were created using version 4.1.0.

1. Souce data.xlsx

This is the input data file of the following R scrip. In total, 11 data sheet included in this file. The variables included in related data set is as following: 

mountain_ID: Sequence number of 140 mountain flora in China.

site: Acronym of mountain flora.

sp.number: Species richness, the total number of angiosperm plants in a mountain.

landform: Landform type of each mountain flora (Danxia, Karst, Karst-Gr, Granitic, Desert). 

long: Longitude.

lat: Latitude.

PDI: Standardized effect size of phylogenetic diversity (PDFaith).

NRI: Standardized effect size of mean phylogenetic distance.

NTI: Standardized effect size of mean nearest taxon distance.

pd: PDFaith, Faith’s phylogenetic diversity.

MDT: Mean diversity time of species in a mountain.

MDT.yo...