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. 2020 Jul 31;11:3853. doi: 10.1038/s41467-020-17710-7

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 2 — a The contribution of anthropogenic climate change (Climate Change + O₂) component to the change in vegetation between 1982 and 2015 (ΔNDVI_max). Non-dryland and hyper-arid regions are masked in dark gray and areas where the change is insignificant (α_FDR = 0.10) or smaller than the error in the sensors (±0.001) are masked in white. b The mean area-weighted pixel effect size of the drivers of observed vegetation broken down by observed vegetation change direction. Positive indicates greening and negative is desertification. Error bars show the SD. c Frequency distribution function for the change in NDVI_max (1982–2015) attributed to by anthropogenic climate change.