气候变化背景下若尔盖典型高寒沼泽湿地植被生产力与土壤碳过程动态数据集（2018-2022）

本数据集包括青藏高原东缘的若尔盖高原日干乔泥炭沼泽湿地2018-2021年通量观测数据（包含CO2、CH4和H2O通量等）、泥炭沼泽湿地土壤深剖面增温试验和“中宇宙”水位模拟试验植被群落调查数据（物种名称、高度、盖度、生物量等）。通量数据来自于通量塔自动观测，植被群落数据来自于样方调查，均为原始数据，未加工处理。因高原野外自然环境恶劣，通量塔难免出现故障，维修不及时会导致部分时段观测数据缺失。该数据集可为气候变化背景下高寒泥炭沼泽湿地的碳输入与输出过程研究提供重要支撑。

This dataset includes flux observation data (including CO₂, CH₄, and H₂O fluxes, etc.) from the Riganqiao Peat Marsh Wetland in the Zoige Plateau, eastern margin of the Qinghai-Tibet Plateau, during 2018–2021, as well as vegetation community survey data (species names, heights, coverage, biomass, etc.) from the deep soil profile warming experiment and 'mesocosm' water level simulation experiment of this peat marsh wetland. The flux data were automatically collected by flux towers, while the vegetation community data were obtained via quadrat surveys; all data are raw and unprocessed. Due to the harsh natural field environment on the plateau, flux towers are prone to malfunctions, and untimely maintenance will lead to missing observation data during certain periods. This dataset can provide important support for research on carbon input and output processes of alpine peat marsh wetlands under the background of climate change.

搜集汇总

背景与挑战

背景概述

该数据集包含2018-2022年青藏高原东缘若尔盖高原日干乔泥炭沼泽湿地的通量观测数据和植被群落调查数据，涉及CO2、CH4和H2O通量等，以及土壤深剖面增温试验和“中宇宙”水位模拟试验的植被群落数据。数据以Excel格式存储，为原始数据，未加工处理，适用于高寒泥炭沼泽湿地碳输入与输出过程研究。