Mean landscape-scale incidence of species in discrete habitats is patch size dependent

Contains data and code for the manuscript 'Mean landscape-scale incidence of species in discrete habitats is patch size dependent'.
Raw data consist of 202 published datasets collated from primary and secondary (e.g., government technical reports) sources. These sources summarise metacommunity structure for different taxonomic groups (birds, invertebrates, non-avian vertebrates or plants) in different types of discrete metacommunities including 'true' islands (i.e., inland, continental or oceanic archipelagos), habitat islands (e.g., ponds, wetlands, sky islands) and fragments (e.g., forest/woodland or grass/shrubland habitat remnants). 
The aim of the study was to test whether the size of a habitat patch influences the mean incidences of species within it, relative to the incidence of all species across the landscape. In other words, whether high-incidence (widespread) or low-incidence (narrow-range) species are found more often than expected in smaller or larger patches. To achieve th..., Details regarding keyword and other search strategies used to collate the raw database from published sources were presented in Deane, D. C. & He, F. (2018) Loss of only the smallest patches will reduce species diversity in most discrete habitat networks. Glob Chang Biol, 24, 5802-5814 and in Deane, D.C. (2022) Species accumulation in small-large vs large-small order: more species but not all species? Oecologia, 200, 273-284.
Minimum data requirements were presence absence records for all species in all patches and area of each habitat patch. The database consists of 202 published datasets. The first column in each dataset is the area of the patch in question (in hectares), other columns record presence and absence of each species in each patch. In the study, a metric was calculated for every patch that quantifies how the incidence of species in each patch compares with an expectation derived from the occupancy of all species in all patches (called mean species landscape-scale incid..., All provided files are intended for use within the R-programming environment. The raw database records required to run the analysis from scratch, along with processed data used to run regression models are saved as R data objects (i.e., extension '.RData'). The fitted model obtained in analysis and used to generate results is also an R object, but of class 'brmsfit' (requiring R package brms is loaded into the R-workspace). Both object types can be opened in R (R Studio, etc). , # Data from 'Species representation in discrete habitats is patch size dependent'

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Contains the raw data and code used to reproduce the analysis and results in the manuscript.

The simplest way to do this is to save all files provided to a single folder. Code needed to run the analyses in the paper are in scr_R_code_Dryad_R01.txt. Change the file extension from .txt to .R and then the script can be opened directly in R/R Studio and this includes code to load all objects described and run all analyses.

## Description of the data and file structure

Description of data files:

Data:
**Datha.RData** - an R object of class 'list', each element of the list representing one of 202 p/a datasets obtained from published sources. Datasets are saved as sites x species dataframes, with patch area (in hectares) in the first column and species data in column numbers 2 to N+1, where N is the total number of species in that dataset (the +1 reflects the area data in the first column). Note, the nu...