Forestation at the right time with the right species can generate persistent carbon benefits in China

<p>This collection contains the datasets used in our study &lsquo;<strong>Forestation at the right time with the right species can generate persistent carbon benefits in China</strong>&rsquo;.</p> <p><em><strong>Part A: Data</strong></em></p> <p>Most of the data presented here are after pre-processing, such as transforming the projection, extracting variables, clipping to the study region (70^oE-140^oE,15^oN-55^oN), and resampling to 1-km.</p> <p>The original source of these data sets (usually global, at different resolutions) is given in &#39;data_original.txt&#39; as well as in the &#39;Data availability&#39; of the main text.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>4. data_original.txt: the original source of these data sets</p> <p><strong>Part B: MATLAB Code</strong></p> <p>This file (Matlab_code.rar) contains the code, functions and parameters for our analysis of the data, mainly MATLAB files (.m or mat)</p> <p><strong>Part C: Demo/Example data and code</strong></p> <p>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.</p> <p><strong>Part D: Docs</strong></p> <p>Reference and guidelines (Docs.rar).</p> <p>If you have any questions or suggestions, please contact xuhaotony@pku.edu.cn</p>