青藏高原植被土壤碳库数据集

青藏高原积累了大量的有机碳，但其规模和对整个地区的环境因素的反应仍不确定。基于此，我们收集了迄今为止在青藏高原上数据量最大、地理覆盖最广的地面样方调查数，数据涵盖范围自20世纪80年代至2020年，涵盖7196个样点。基于此地面样点调查数据，使用机器学习算法生成青藏高原植物和土壤的碳库栅格数据。本数据为青藏高原不同碳储量的空间格局，包括地上生物量碳储量，地下生物量碳储量，植物碳储量，土壤有机碳（0-30cm,0-100cm,100-200cm)碳储量，空间分辨率为5km，碳储量单位为kg (C) /m2。

The Qinghai-Tibet Plateau (QTP) accumulates a large amount of organic carbon, but its magnitude and responses to environmental factors across the entire region remain uncertain. To address this research gap, we collected the largest and most geographically comprehensive ground quadrat survey dataset on the QTP to date, covering the period from the 1980s to 2020 and totaling 7196 sampling plots. Based on this ground survey data, we generated grid data of plant and soil carbon pools across the QTP using machine learning algorithms. This dataset presents the spatial patterns of various carbon stocks on the QTP, including aboveground biomass carbon stock, belowground biomass carbon stock, plant carbon stock, and soil organic carbon stocks at three soil depth layers (0-30 cm, 0-100 cm, and 100-200 cm). The spatial resolution of the dataset is 5 km, and the unit of carbon stock is kg (C)/m².

搜集汇总

背景与挑战

背景概述

青藏高原植被土壤碳库数据集涵盖了自20世纪80年代至2020年的7196个样点数据，使用机器学习算法生成了青藏高原植物和土壤的碳库栅格数据，空间分辨率为5km，包括地上生物量碳储量、地下生物量碳储量、植物碳储量、土壤有机碳储量等。数据以TIFF格式存储，共享方式为开放获取。