2004年全球1km森林地上生物量空间分布数据

森林生态系统是全球碳循环的重要组成部分，精确估算全球森林地上生物量对于估算全球森林碳储量具有重要意义。激光雷达技术已被证明能够准确获取森林的水平和垂直结构，实现森林地上生物量的准确估算。本研究利用地面调查数据、光学影像、ICESat GLAS、气候和地形数据，结合随机森林模型构建了森林地上生物量估算模型，并绘制了1km分辨率的全球森林地上生物量分布图。结果表明，全球森林地上生物量平均值为210.09 Mg/ha，标准差为109.31 Mg/ha。研究结果在单点及生态区尺度上分别进行了验证：在单点水平上，预测的结果与地面数据的R2为0.56，RMSE为87.53 Mg/ha；在生态区水平上，R2与均方根误差分别为0.56，101.21 Mg/ha。本研究绘制的森林地上生物量产品与其他区域森林地上生物量产品结果基本一致，但与部分区域性产品相比呈现明显的低估。

Forest ecosystems are a critical component of the global carbon cycle. Accurately estimating global forest aboveground biomass (AGB) is of great significance for quantifying global forest carbon stocks. LiDAR technology has been proven to accurately capture the horizontal and vertical structure of forests, enabling precise estimation of forest aboveground biomass. In this study, we constructed a forest aboveground biomass estimation model using field survey data, optical imagery, ICESat GLAS, climatic and topographic data combined with the random forest model, and generated a global forest aboveground biomass distribution map with a 1 km resolution. The results showed that the global average forest aboveground biomass was 210.09 Mg/ha, with a standard deviation of 109.31 Mg/ha. The research findings were validated at both single-point and ecoregion scales: at the single-point level, the predicted results had a coefficient of determination (R²) of 0.56 and a root mean square error (RMSE) of 87.53 Mg/ha compared with field data; at the ecoregion scale, the R² and RMSE were 0.56 and 101.21 Mg/ha, respectively. The forest aboveground biomass product developed in this study is generally consistent with other regional forest aboveground biomass products, but exhibits significant underestimation when compared with some regional products.

搜集汇总

背景与挑战

背景概述

该数据集是2004年全球森林地上生物量1km分辨率空间分布图，基于地面调查、光学影像、激光雷达（ICESat GLAS）等多源数据，通过随机森林模型估算生成。数据平均生物量为210.09 Mg/ha，在单点和生态区尺度上进行了验证，与其他产品相比可能存在低估，适用于全球碳循环和森林生态研究。