Supporting data and code for A global map of root biomass across the world's forests
Dataset en
Authors
YH
Yuanyuan Huang
PC
Phillipe Ciais
MS
Maurizio Santoro
Abstract
1 min read
This dataset contians supporting data and code for the manuscript: A global map of root biomass across the world's forests. <br> Folder data_orin include raw data and references. Python script data_merge_fill.py merges different raw databases, removes repeated entries and fills data gaps in environmental factors. Final output of data_merge_fill.py is site_filled_1kmv1.csv. Python scripts in fig folder include scripts for calculation and producing figures in the manuscript. pred_1km_15cover_1000_99.py is an example code to train a random forest model and to make a global forest root biomass map with a unit of weight biomass per tree. pred_1km_15cover_allometry_1000_99.py generates data used in Supplementary Figure 7 which estimates global forest root biomass through allometric equations. Folder budget_uncertainty contains code and calculations of the uncertainty of global and biome scale root biomass budget. <br> The pergridarea_agb.nc contains global forest aboveground biomass, pergridarea_bgb.nc is the belowground biomass, err_bgb_15_99_ncomm_revise.nc is uncertainty of belowground biomass maps with a resolution of 1km and the unit of Mg/ha (gridcell area).
Yuanyuan Huang, Phillipe Ciais, Maurizio Santoro, David Makowski, Jérôme Chave, Dmitry Schepaschenko, Rose Abramoff, Daniel S. Goll, Hui Yang, Ye Chen, Wei Wei, Shilong Piao
Yuanyuan Huang, Phillipe Ciais, Maurizio Santoro, David Makowski, Jérôme Chave, Dmitry Schepaschenko, Rose Abramoff, Daniel S. Goll, Hui Yang, Ye Chen, Wei Wei, Shilong Piao
Yuanyuan Huang, Phillipe Ciais, Maurizio Santoro, David Makowski, Jérôme Chave, Dmitry Schepaschenko, Rose Abramoff, Daniel S. Goll, Hui Yang, Ye Chen, Wei Wei, Shilong Piao
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