Continuous abrupt vegetation shifts in the global terrestrial ecosystem

Previous studies have primarily focused on single abrupt shifts, yet the actual ecosystem will experience continuous abrupt shifts (CAS), including Different Directions Shifts (DDS) and Same Directions Shifts (SDS). The patterns and drivers of these CAS remain unclear. We examined the patterns of the DDS and SDS by two vegetation datasets, then tested climate drivers comprising atmospheric temperature (MAT), atmospheric precipitation (MAP), soil temperature (ST), and soil water content (SW), and finally hysteresis effects were examined with reference to principal drivers. The results demonstrate that the DDS and SDS varied across climatic regions. The ST, SW, MAT, and MAP were primary drivers of the DDS, while the MAT and MAP were primary drivers of the SDS. Furthermore, the existence of hysteresis effects were validated via the DDS. This study presents the widespread occurrence of the CAS and the divergent roles of climate change on the DDS and SDS globally., All the raw data sources are from public websites.  
The data processing and plotting are done using NCL (NCAR Command Language, https://www.ncl.ucar.edu/) and R (https://www.r-project.org/), with NCL being the primary tool and R serving as a supplementary tool., , # Continuous abrupt vegetation shifts in the global terrestrial ecosystem

[https://doi.org/10.5061/dryad.hqbzkh1rr](https://doi.org/10.5061/dryad.hqbzkh1rr)

## Description of the data and file structure

The dataset includes the code, data, and data descriptions for all the figures and tables mentioned in the article, as well as the code, data, and data descriptions for calculating CAS, along with the raw data. Each figure, table, or CAS calculation method is accompanied by a detailed guide in their respective folders.

### Files and variables

#### File: Supplementary\_Data.rar

**Description:** The dataset contains all of the raw data, as well as all of the data and code for the figures and tables. Each folder has its own README.

The missing value for all data is -32767.0.

## Code/software

The data were processed using the NCAR command language (NCL, [https://www.ncl.ucar.edu/](https://www.ncl.ucar.edu/)) and R, and reproducing the results requires NCL and R to be installed. The...