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>