Uncertainty in US forest carbon storage potential due to climate risks

<strong>US forest C storage potential - Wu et al. (2023) code to reproduce the results.</strong> Contact Chao Wu ([e-mail]) with questions. Both the R codes and Python codes were included. Citation: Wu C, Coffield SR, Goulden ML, Randerson JT, Trugman, AT, Anderegg WRL (2023) Uncertainty in US forest carbon storage potential due to climate risks. <em>Nature Geoscience</em>. doi<strong>:</strong> 10.1038/s41561-023-01166-7 The data include (i) all raw data generated in this paper; (ii) the code for figures 1-4 in the main text; and (iii) the code for the climate niche model. Detailed information: (1) source code 1. FutureUSforestC_manuscript_published_mainFigures2.R: the code for generating figures in the main text. 2. RF_carbon_models.py: the source code for building the climate niche model. 3. RF_forestgroups_models.py: the source code for building the tree species niche model. (2) raw data 1. cmip6_post/: results from the 22 CMIP6 ESMs. 2. em_results/: results from the climate niche model. 3. semi_empirical_fiaregression_esm/: results from the growth-mortality model. 4. sourceData/: Source data for figures 1-4 in the main text and 4 Extended Data figures. 5. figure/: generated figures using the code above. 6. cb_2018_us_state_500k/: US boundary shapefile. 7. other dependent data used in the code above, more details can be found in the code. <br> <br>**美国森林碳储存潜力——复现Wu等人(2023)研究结果的代码**。如有疑问，请联系吴超（[e-mail]）。本数据集包含R语言与Python语言两类代码。引用格式：Wu C, Coffield SR, Goulden ML, Randerson JT, Trugman AT, Anderegg WRL (2023) 《气候风险导致的美国森林碳储存潜力不确定性》，*自然·地球科学*（Nature Geoscience）。DOI：10.1038/s41561-023-01166-7 本数据集涵盖以下内容：(i) 本论文产生的全部原始数据；(ii) 正文中图1至图4的绘图代码；(iii) 气候生态位模型的代码。详细说明如下： (1) 源代码文件 1. `FutureUSforestC_manuscript_published_mainFigures2.R`：用于生成正文中配图的代码 2. `RF_carbon_models.py`：构建气候生态位模型的源代码 3. `RF_forestgroups_models.py`：构建树种生态位模型的源代码 (2) 原始数据文件 1. `cmip6_post/`：22个第六次耦合模式比较计划（Coupled Model Intercomparison Project Phase 6，CMIP6）地球系统模式（Earth System Model，ESM）的模拟结果 2. `em_results/`：气候生态位模型的输出结果 3. `semi_empirical_fiaregression_esm/`：生长-死亡率模型的输出结果 4. `sourceData/`：正文中图1至图4以及4幅扩展数据图的源数据 5. `figure/`：通过上述代码生成的配图文件 6. `cb_2018_us_state_500k/`：美国州界矢量形状文件 7. 上述代码中用到的其他依赖数据，更多细节可参见对应代码文件。