Carbon dioxide, water vapor and methane soil efflux (soil respiration) in a Pinus palustris restoration site in Georgetown, SC

This dataset contains processed data from a combination of survey flux chambers and long-term automated flux chambers. Biweekly soil flux measurements were conducted from June 2023 through December 2025 at a longleaf pine restoration site in Georgetown, SC. Processed, QAQC’d data can be found in the file: 1_DATA_ESS_DOE_HR_RS_HB3_QAQC_Survey_Data_20260223.csv. Raw and working data files (.json, & .81x format) from LI-COR equipment are included for reference and can be accessed using SoilFluxPro software. CSV metadata files describe the raw data and modifications made using SoilFluxPro v5 and Matlab R2024b, as well as formatting and units for processed CSVs. Matlab code is included for reading in the processed CSVs. This research was performed as part of the project: “Improving models of stand and watershed carbon and water fluxes with more accurate representations of soil-plant-water dynamics in southern pine ecosystems”, which examines in part the effects hydraulic redistribution on soil efflux of carbon dioxide, water vapor and methane, as well as soil moisture and temperature in a southern pine ecosystem with sandy soils and high water table.

本数据集包含经处理的调查式通量箱与长期自动通量箱的组合观测数据。2023年6月至2025年12月期间，研究团队在南卡罗来纳州乔治敦（Georgetown, SC）的长叶松恢复样地开展了每两周一次的土壤通量观测。经质量控制与质量保证（Quality Assurance and Quality Control, QAQC）的处理后数据存储于文件1_DATA_ESS_DOE_HR_RS_HB3_QAQC_Survey_Data_20260223.csv中。本数据集附带LI-COR设备产出的原始与工作数据文件（格式为.json与.81x）以供参考，可通过SoilFluxPro软件读取。CSV格式元数据文件对原始数据、使用SoilFluxPro v5与Matlab R2024b完成的数据修改内容，以及处理后CSV文件的格式与单位进行了说明。本数据集同时附带用于读取处理后CSV文件的Matlab代码。本研究隶属于项目"通过精准表征南方松林生态系统的土壤-植物-水动态，优化林分与流域碳、水通量模型"，该项目部分探究了水力再分配（Hydraulic Redistribution）对沙质土壤且高地下水位的南方松林生态系统中土壤二氧化碳、水汽与甲烷排放，以及土壤水分与温度的影响。