Carbon flux and environmental parameters data from an eddy covariance tower in a mid-succession ecosystem developed on abandoned karst grassland in Slovenia (2012-2019)

This data set was used to estimate carbon fluxes by comparing eddy covariance tower (Long = 13.916701, Lat = 45.543491) measurements with vegetation indices based estimates. The data set includes all data required to : - Perform empirical regression of GPP (gross primary production) or NEE (Net ecosystem exchange) with vegetation indices, - Apply the vegetation photosynthesis model, which is a light use efficiency model. This data set includes 4 files, which are 2 *.csv files and 2 *.txt files. The *.csv files have the actual data in tabular format, and the *.txt files, named in the same way as the *.csv files with a prefix "parameters _ metadata", have a complete description of each variable found in the *.csv file, including their units. The first *csv file "1.Halfmonthly_fluxes_vegetation_indices.csv" contains half-monthly aggregated fluxes, environmental parameters and vegetation indices from 2012 to 2019. The variables included in the file are: date, NEE, GPP, Reco, Rg, Tair_midday, Tair, VPD, EVI, SAVI, LSWI, NDVI, GNDVI; and their meanings can be found in the corresponding *.txt file "1.parameters_metadata_Halfmonthly_fluxes_vegetation_indices.txt". The second *.csv file "2.Halfhourly_LUEmax_calculation_data_2019.csv" contains half-hourly fluxes and environmental parameters for the year 2019, needed to calculate LUE_max, further used in the VPM model. The variables included in the file are: time, incPPFD, bcPPFD_1, bcPPFD_2, naPPFD, frac_grass, frac_trees, frac, VPD, GPP, SWC, Rg, PAR, APAR, uncloudy; and their meanings can be found in the corresponding *.txt file "2.parameters_metadata_Halfhourly_LUEmax_calculation_data_2019.txt".About the authors of this data set,The original data set was collected by Mitja Ferlan, Klemen Eler, Dominik Vodnik and Primož Simončič. However, the processed data, object of this publication was prepared by Koffi Dodji Noumonvi and Mitja Ferlan.P.S. This data set is a research data, that can be used to reproduce the methodology applied in the paper (in review at the moment of publishing this data).本数据集通过对比涡度协方差塔（eddy covariance tower，经度13.916701，纬度45.543491）的实测数据与基于植被指数的估算结果，以实现碳通量估算。 本数据集包含满足以下两类分析所需的全部数据： - 针对总初级生产力（Gross Primary Production, GPP）或生态系统净交换（Net Ecosystem Exchange, NEE）与植被指数开展经验回归分析； - 应用植被光合模型——一种光能利用效率模型（light use efficiency model）。 本数据集共包含4个文件，即2个*.csv格式文件与2个*.txt格式文件。其中*.csv文件以表格形式存储实测数据；与各csv文件同名且前缀为parameters_metadata的*.txt文件，则完整说明了对应csv文件中各变量的含义与单位。 首个csv文件"1.Halfmonthly_fluxes_vegetation_indices.csv"包含2012年至2019年的半月聚合碳通量、环境参数与植被指数数据。该文件包含的变量包括：日期、NEE、GPP、生态系统呼吸（Reco）、总辐射（Rg）、午间气温（Tair_midday）、气温（Tair）、水汽压差（Vapor Pressure Deficit, VPD）、增强型植被指数（Enhanced Vegetation Index, EVI）、土壤调整植被指数（Soil-Adjusted Vegetation Index, SAVI）、陆地表面水分指数（Land Surface Water Index, LSWI）、归一化差分植被指数（Normalized Difference Vegetation Index, NDVI）、归一化差分绿度指数（Normalized Difference Greenness Index, GNDVI）；各变量的详细含义可查阅对应的txt文件"1.parameters_metadata_Halfmonthly_fluxes_vegetation_indices.txt"。 第二个csv文件"2.Halfhourly_LUEmax_calculation_data_2019.csv"包含2019年的半小时尺度碳通量与环境参数数据，此类数据为计算最大光能利用效率（LUE_max）所需，而LUE_max将进一步应用于植被光合模型（Vegetation Photosynthesis Model, VPM）。该文件包含的变量包括：时间、入射光合有效辐射（incident Photosynthetic Photon Flux Density, incPPFD）、修正后光合有效辐射1（band-corrected Photosynthetic Photon Flux Density, bcPPFD_1）、修正后光合有效辐射2（band-corrected Photosynthetic Photon Flux Density, bcPPFD_2）、未修正光合有效辐射（non-corrected Photosynthetic Photon Flux Density, naPPFD）、草地覆盖占比（frac_grass）、林木覆盖占比（frac_trees）、总覆盖占比（frac）、水汽压差（VPD）、总初级生产力（GPP）、土壤含水量（Soil Water Content, SWC）、总辐射（Rg）、光合有效辐射（Photosynthetically Active Radiation, PAR）、吸收光合有效辐射（Absorbed Photosynthetically Active Radiation, APAR）、无云状态（uncloudy）；各变量的详细含义可查阅对应的txt文件"2.parameters_metadata_Halfhourly_LUEmax_calculation_data_2019.txt"。 关于本数据集的作者：原始数据集由Mitja Ferlan、Klemen Eler、Dominik Vodnik与Primož Simončič采集；而经处理后用于本出版物的数据集，则由Koffi Dodji Noumonvi与Mitja Ferlan编制完成。 附：本数据集属于研究用数据，可用于复现本数据集发布时仍处于审稿阶段的论文中所采用的研究方法。