青藏高原全新世关键时段植被类型、植被覆盖度分布数据集

依托第二次青藏高原综合科学考察研究项目，项目组开展网格状的表层土壤样品采集和植被调查工作，共获取362个表层土壤孢粉数据，并利用随机森林算法构建了孢粉与植被类型和植被覆盖度的重建模型。此外，项目组还完成了青藏高原6个湖泊的全新世孢粉分析，结合前人完成的孢粉数据，完成了孢粉类型统一化、年代模型标准化以及时间窗口插值，获得了青藏高原全新世孢粉数据集（共包含65个孢粉记录），并将上述重建模型用于植被类型和覆盖度定量重建，获得了11.5 cal ka BP以来每500年间隔时间窗口的植被类型和覆盖度数据。Supported by the Second Tibetan Plateau Scientific Expedition and Research Program, the research team conducted grid-based surface soil sampling and vegetation surveys, acquiring a total of 362 surface soil pollen and spore datasets, and constructed a reconstruction model correlating pollen/spore assemblages with vegetation types and vegetation coverage using the random forest algorithm. Additionally, the team performed Holocene pollen and spore analysis for 6 lakes on the Tibetan Plateau. By integrating previously published pollen/spore data, they standardized pollen/spore taxonomic classification, unified chronological models, and conducted time-window interpolation, thereby establishing the Holocene pollen and spore dataset of the Tibetan Plateau, which contains a total of 65 pollen/spore records. Applying the aforementioned reconstruction model to quantitatively reconstruct vegetation types and coverage, they obtained vegetation type and coverage data at 500-year time-window intervals since 11.5 cal ka BP.

搜集汇总

背景与挑战

背景概述

该数据集基于第二次青藏高原综合科学考察项目，通过362个表层土壤孢粉数据和随机森林算法，重建了青藏高原全新世（11.5 cal ka BP以来）每500年间隔的植被类型和覆盖度分布。数据以EXCEL格式存储，包含样点地理信息、年代和植被参数，时间分辨率在100至1000年之间，空间分辨率为100至1000公里，适用于古环境和陆地表层研究。