Data from: Rising variability, not slowing down, as a leading indicator of a stochastically driven abrupt transition in a dryland ecosystem

Chen N, Jayaprakash C, Yu K, Guttal V, Ning C

Date Published: July 26, 2017

DOI: https://doi.org/10.5061/dryad.gg1fk

Files in this package

Content in the Dryad Digital Repository is offered "as is." By downloading files, you agree to the Dryad Terms of Service. To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data. CC0 (opens a new window) Open Data (opens a new window)

Title Time series of grass cover, annual rainfall, and data to trends of early warning signals for critical and stochastic transitions needed to produce Figure 3
Downloaded 18 times
Description "data_cn.csv" includes data of gras cover and annual rainfall. "Chenetal-theory-ews-cric-stochastic.nb" computes trends of early warning signals for critical and stochastic transitions needed to produce Figure 3 of the manuscript.
Download data.zip (93.50 Kb)
Download README.txt (1.93 Kb)
Details View File Details

When using this data, please cite the original publication:

Chen N, Jayaprakash C, Yu K, Guttal V (2017) Rising variability, not slowing down, as a leading indicator of a stochastically driven abrupt transition in a dryland ecosystem. The American Naturalist 191(1): E1-E14. https://doi.org/10.1086/694821

Additionally, please cite the Dryad data package:

Chen N, Jayaprakash C, Yu K, Guttal V, Ning C (2017) Data from: Rising variability, not slowing down, as a leading indicator of a stochastically driven abrupt transition in a dryland ecosystem. Dryad Digital Repository. https://doi.org/10.5061/dryad.gg1fk
Cite | Share
Download the data package citation in the following formats:
   RIS (compatible with EndNote, Reference Manager, ProCite, RefWorks)
   BibTex (compatible with BibDesk, LaTeX)

Search for data

Be part of Dryad

We encourage organizations to: