|SYNOPSIS||Timber-derived forest logging residues are important resource of bioenergy, which contribute to the climate change mitigation. Some researches have calculated available logging residue at region or country scale. However, there still lacks global scale estimation with high precision. In this study, we attempt to establish a country level forest logging residue generation rate data mainly based on FRA country level forest stock composition data and allometric equations, thus calculating country and global level annual forest logging residue production.
The logging residue considered in this study is branches and tree tops. Based on FRA country level forest stock composition data, which provides main tree species (usually the top 10 species), we have collected nearly 400 allometric equations of stem and branch through literature investigation from 165 research articles and reviews. We currently need DBH distribution data to calculate the generation rates of forest residue for different tree species in different countries.
|Mandatory attributes||1. DBH distribution of tree species for each sample plot.
2. Geographic locations of the sample plots.
3. A sample plot refers to a group of plots in a same location.
|Target journal and audience||Nature Communication|
|Project timeline||We have accomplished most part of this study. With the DBH distribution data, we can obtain the forest generation rate dataset shortly. The research article is supposed to be finished in May, 2022.|
|Collaboration and Co-authorship Policy||Anyone with essential contribution for the development of the dataset should be listed as coauthor.|