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Dryad

Changes in plant species richness due to land use and nitrogen deposition across the globe

Cite this dataset

Gallego-Zamorano, Juan; Huijbregts, Mark; Schipper, Aafke (2022). Changes in plant species richness due to land use and nitrogen deposition across the globe [Dataset]. Dryad. https://doi.org/10.5061/dryad.f1vhhmgx7

Abstract

Data and scripts corresponding to the article "Combined effects of land use and nitrogen deposition on plant species richness worldwide". In the article, we quantified the combined effects of land use and nitrogen deposition on terrestrial plant species richness at a 0.25º spatial resolution across the globe. We first determined the proportional changes in plant species richness for different land-use types and N deposition values through meta-analyses of local monitoring data obtained from the literature. We then combined the site-level responses with global land use and N deposition maps in a new multi-pressure species-area relationship (mp-SAR) model to provide estimates of changes in plant species richness at a resolution of 0.25º (about 25 km at the equator) worldwide.

In this repository you will find all the data necessary to get the final results and the code in R to guide you through out the analysis.

Methods

We quantified the combined effects of land use and nitrogen deposition on terrestrial plant species richness at a 0.25º spatial resolution across the globe. We first determined the proportional changes in plant species richness for different land-use types and N deposition values through meta-analyses of local monitoring data obtained from the literature. We then combined the site-level responses with global land use and N deposition maps in a new multi-pressure species-area relationship (mp-SAR) model to provide estimates of changes in plant species richness at a resolution of 0.25º (about 25 km at the equator) worldwide.

Usage notes

All the scripts are commented out so they should be easy to follow. R environment and version:


platform       x86_64-w64-mingw32          
arch           x86_64                      
os             mingw32                     
system         x86_64, mingw32             
status                                     
major          4                           
minor          0.2                         
year           2020                        
month          06                          
day            22                          
svn rev        78730                       
language       R                           
version.string R version 4.0.2 (2020-06-22)
nickname       Taking Off Again