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. potential_china_forest_1km.rar: 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.

2. 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.

3. 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.

4. data_original.txt: the original source of these data sets

Part B: MATLAB Code

This file (Matlab_code.rar) 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.rar) 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.rar).

If you have any questions or suggestions, please contact [e-mail]