Datasets and codes of "Forestation at the right time with the right species can generate persistent carbon benefits in China"

This collection contains the datasets used in our study ‘Forestation at the right time with the right species can generate persistent carbon benefits in China’. Part A: Data Most of the data presented here are after pre-processing, such as transforming the projection, extracting variables, clipping to the study region (70oE-140oE,15oN-55oN), and resampling to 1-km. The original source of these data sets (usually global, at different resolutions) is given in 'data_original.txt' as well as in the 'Data availability' of the main text. 1. climate_china_1km.zip: This zip contains the 3 climate datasets used in our study: 1) bioclimatic variables from Worldclim2.0, 2) annual precipitation and temperature from Peng et al. 2019, and 3) climate forcings from CRUNCEPv8 2. soil_china_1km.zip: This zip contains the soil properties derived from Soilgrid250m for China at 1-km resolution. 3. topography_china_1km.zip: This zip contains the topographic properties derived from Global Multi-resolution Terrain Elevation Data 2010 for China at 1-km resolution. 4. MaxEnt_process.zip: This zip contains all the input data and model results of the MaxEnt model: 1) environment layers in ’.asc’, 2) rarefied occurrence points for the 15 forest types, 3) MaxEnt results in ’.tif’ (average of the 10-folds results) 5. potential_china_forest_1km.zip: contains the potential forest distributions for China at 1-km resolution from multiple source (Random Forest, WRI and ORCHIDEE). Note: the forest distribution is in the form of logical variables in the .mat file, where a value of 1 or true means that the grid point is potentially forestable, and a value of 0 or false means this grid is not suitable for forest. 6. existing_china_forest_1km.zip: contains the existing forest distributions for China at 1-km resolution from multiple source (FI2013-2017, Hansen, MODIS, ESA-CCI, CNLUCC, GLC-FCS30 and GlobeLand30). Note: the existing forest distribution is in the form of logical variables in the .mat file, where a value of 1 or true means there is forest distribution, and a value of 0 or false means there is currently no forest distribution. 7. crop_urban_china_1km.zip: similar to the existing_china_forest_1km.zip, but stores the distribution of cropland and urban. 8. masks_area_china_1km.zip: area mask and the shp files of the national and provincial boundaries of China. 9. CMIP6_outputs.zip: This zip contains historical (1970-2014) and future (2015-2100) climate and CO2 fertilization factor simulated by Earth System Models participating in CMIP6. 10. ori_carbon_all_grid_1km.mat: Living biomass carbon densities in 2010 for China at 1-km (unit: Mg C ha-1). Both aboveground and belowground biomass carbon are included. The original biomass map is from Spawn et al. 2020. 11. Forest_inventory_data_5th_9th.xlsx: 1) The forest area reported in 5th to 9th national forest inventory 2) The forest area of different age classes derived form the 9th national forest inventory. 12. Forest_age_CN2019.zip: the forest stand age map for China updated to 2019. 13. data_original.txt: the original source of these data sets Part B: MATLAB Code This file (Matlab_code.zip) contains the code, functions and parameters for our analysis of the data, mainly MATLAB files (.m or mat) Part C: Demo/Example data and code This file (Demo.zip) contains the demo of our code running, which includes the demo code along with code comments, input data for the demo, and the expected output results. Part D: Docs Reference and guidelines (Docs.zip). If you have any questions or suggestions, please contact [e-mail]