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. 2023 Jan 10;13:473. doi: 10.1038/s41598-022-26928-y

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© This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023

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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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Projected change in park visitation quantity. (a) Additional percentage point change in park visitation quantity by month in the years 2050 and 2099 compared with 2017 due to climate change. (b) The percentage change in activity quantity for summer and winter respective for all years in the future. Geographic estimates of the projected change in park visitation quantity in all areas of China in 2090–2099 under the RCP8.5 scenario. Error bars and shaded areas represent 95% confidence intervals calculated through Monte Carlo sampling of econometric parameter estimates and climate models. (c) Geographic dispersion of the predicted additional yearly average effects of climate change-induced activity change in 2090–2099. (d) Prediction of additional climate change-induced activity change in 2090–2099 by seasons. Results for the RCP 4.5 scenario are presented in Supplementary Fig. 6. The figure was created using R (version 4.1.0 https://www.r-project.org/), and the maps do not have a copyright dispute.