数据监测区位于广西友谊关森林生态系统国家定位观测研究站（106°51′30″E-106°52′36″E，22°02′17″N-22°02′23″N），隶属中国林业科学研究院热带林业实验中心，为深入研究森林土壤水热特征，利用近自然化改造马尾松人工林内的自动气象观测站，开展南亚热带近自然化改造马尾松人工林土壤水热连续动态监测和研究。本数据集共包含1个excel文件，由2016年10月~2021年12月南亚热带马尾松人工林日尺度的空气温度、空气相对湿度、土壤温度、土壤体积含水量和土壤热通量动态数据组成，共1919条记录。建立和共享本数据集对于理解近自然化改造马尾松人工林的土壤水热特征有重要价值，同时可为深入研究针阔叶混交林对全球气候变化的响应提供基础数据，也为南亚热带森林资源的可持续经营和管理提供数据基础支撑。", "ds_source": "
本数据集是土壤水热自动观测数据集，由2016年10月~2021年12月近自然化改造马尾松人工林日尺度的空气温度、空气相对湿度、土壤温度、土壤体积含水量和土壤热通量动态监测数据组成。利用南亚热带近自然化改造马尾松人工林内的自动气象观测站采集的数据，开展土壤水热动态监测和研究。该站采用Campbell公司生产的CR1000数据采集器，各要素数据采集步长均为1min。传感器类型：空气温度传感器(1000ΩPRT，Campbell)、空气相对湿度传感器(VAISALA HUMICAP H-chip，Campbell)、土壤温度传感器(109型，Campbell)、土壤水分传感器(CS616型，Campbell)、土壤热通量传感器(HUKSEFLUX HFP01型，Campbell)；", "ds_process_way": "
本数据集是基于广西友谊关森林生态系统国家定位观测研究站长期大气和土壤监测入库数据的再加工数据集，原始数据处理方法参照《地面气象观测规范》；", "ds_quality": "
通过行业专家把关进行样地的选择、设置，确保观测点具有典型性、代表性。由广西友谊关生态定位研究站配备具有长期野外工作经验的技术人员及科研人员，定期维护仪器设备和收集数据，保证观测数据的质量和完整性。本数据集所涉及的原始数据质量控制方法根据《中国生态系统研究网络（CERN）长期观测规范》的相关规定进行；", "ds_acq_start_time": "2016-10-01 00:00:00", "ds_acq_end_time": "2021-12-31 00:00:00", "ds_acq_place": "广西友谊关森林生态系统国家定位观测研究站", "ds_acq_lon_east": 106.85833333333333, "ds_acq_lat_south": 22.03805555555556, "ds_acq_lon_west": 106.87666666666667, "ds_acq_lat_north": 22.039722222222224, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 258412, "ds_files_count": 2, "ds_format": ".xlsx", "ds_space_res": null, "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "665537ae-d662-465f-ab72-250431d1eb1a.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "本数据由中国林业科学研究院热带林业实验中心“广西友谊关森林生态系统国家定位观测研究站”产生，用户在使用数据时请在正文中明确注明数据的来源，并在参考文献部分引用本元数据提供的引用方式。", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "李红星", "ds_serv_phone": "0931—4967592", "ds_serv_mail": "lihongxing@lzb.ac.cn", "doi_value": "", "subject_codes": [], "quality_level": 3, "publish_time": "2022-09-16 16:46:45", "last_updated": "2025-04-23 11:44:19", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.NIEER.db2413.2022", "i18n": { "en": { "title": "Soil water and heat data set of nearly naturalized Pinus massoniana plantation (2016-2021)", "ds_format": ".xlsx", "ds_source": "
This dataset is an automatic observation dataset for soil water and heat, consisting of daily monitoring data on air temperature, relative humidity, soil temperature, soil volumetric moisture content, and soil heat flux of Pinus massoniana plantations that have undergone near natural transformation from October 2016 to December 2021. Using data collected from an automatic meteorological observation station in the artificial forest of Pinus massoniana, which is being transformed into a near natural environment in the South Asian tropics, to conduct dynamic monitoring and research on soil water and heat. The station uses the CR1000 data collector produced by Campbell Company, with a data collection step of 1 minute for each element. Sensor type: Air temperature sensor (1000 Ω PRT, Campbell)、 Air relative humidity sensor (VAISALA HUMICAP H-chip, Campbell), soil temperature sensor (109 type, Campbell), soil moisture sensor (CS616 type, Campbell)、 Soil heat flux sensor (HUKSEFLUX HFP01 type, Campbell)；", "ds_quality": "
Select and set up sample sites through industry experts to ensure that observation points are typical and representative. The Guangxi Friendship Pass Ecological Positioning Research Station is equipped with technical and scientific personnel with long-term field work experience, who regularly maintain instruments and equipment and collect data to ensure the quality and integrity of observation data. The quality control methods for the raw data involved in this dataset are carried out in accordance with the relevant provisions of the Long term Observation Specification of the China Ecosystem Research Network (CERN);", "ds_ref_way": "", "ds_abstract": "
The data monitoring area is located at the National Positioning Observation and Research Station of Forest Ecosystem in Youyiguan, Guangxi (106 ° 51 ′ 30 ″ E-106 ° 52 ′ 36 ″ E, 22 ° 02 ′ 17 ″ N-22 ° 02 ′ 23 ″ N), under the jurisdiction of the Tropical Forestry Experimental Center of the Chinese Academy of Forestry. In order to conduct in-depth research on the water and heat characteristics of forest soil, the automatic meteorological observation station in the near naturalized Pinus massoniana plantation is used to carry out continuous dynamic monitoring and research on soil water and heat in the South Asian tropical near naturalized Pinus massoniana plantation. This dataset consists of one Excel file containing dynamic data on daily scale air temperature, relative humidity, soil temperature, soil volume moisture content, and soil heat flux of Pinus massoniana plantations in the South Asian tropics from October 2016 to December 2021, with a total of 1919 records. Establishing and sharing this dataset is of great value for understanding the soil water and heat characteristics of near naturalized Pinus massoniana plantations. It can also provide basic data for in-depth research on the response of coniferous and broad-leaved mixed forests to global climate change, and provide data foundation support for the sustainable management and management of forest resources in the South Asian tropics.
", "ds_time_res": "日", "ds_acq_place": "Guangxi Friendship Pass Forest Ecosystem National Positioning Observation and Research Station", "ds_space_res": "", "ds_projection": "", "ds_process_way": "This dataset is a reprocessed dataset based on long-term atmospheric and soil monitoring data from the National Positioning Observation and Research Station of the Friendship Pass Forest Ecosystem in Guangxi. The original data processing method refers to the \"Ground Meteorological Observation Specification\";", "ds_ref_instruction": "\r\nThis data was generated by the \"Guangxi Friendship Pass Forest Ecosystem National Positioning Observation and Research Station\" of the Tropical Forestry Experimental Center of the Chinese Academy of Forestry. Users are requested to clearly indicate the source of the data in the main text and cite the citation method provided in this metadata in the reference section when using the data." } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "土壤水热动态", "土壤温度", "土壤体积含水量", "马尾松人工林" ], "ds_subject_tags": [], "ds_class_tags": [], "ds_locus_tags": [ "广西友谊关森林生态系统国家定位观测研究站" ], "ds_time_tags": [ 2016, 2017, 2018, 2019, 2020, 2021 ], "ds_contributors": [ { "true_name": "刘士玲", "email": "928439318@qq.com", "work_for": "中国林业科学研究院热带林业实验中心", "country": "中国" }, { "true_name": "郑路", "email": "1679634722@qq.com", "work_for": "中国林业科学研究院热带林业实验中心", "country": "中国" }, { "true_name": "杨保国", "email": "510471274@qq.com", "work_for": "中国林业科学研究院热带林业实验中心", "country": "中国" }, { "true_name": "杨坤", "email": "673725258@qq.com", "work_for": "中国林业科学研究院热带林业实验中心", "country": "中国" }, { "true_name": "闵惠琳", "email": "644322069@qq.com", "work_for": "中国林业科学研究院热带林业实验中心", "country": "中国" }, { "true_name": "陈琳", "email": "daqiqiu@163.Com", "work_for": "中国林业科学研究院热带林业实验中心", "country": "中国" }, { "true_name": "张培", "email": "451484446@qq.com", "work_for": "中国林业科学研究院热带林业实验中心", "country": "中国" }, { "true_name": "庞圣江", "email": "371097140@qq.com", "work_for": "中国林业科学研究院热带林业实验中心 ", "country": "中国" }, { "true_name": "舒韦维", "email": "43142147@qq.com", "work_for": "中国林业科学研究院热带林业实验中心", "country": "中国" }, { "true_name": "李华", "email": "710842076@qq.com", "work_for": "中国林业科学研究院热带林业实验中心", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "刘士玲", "email": "928439318@qq.com", "work_for": "中国林业科学研究院热带林业实验中心", "country": "中国" } ], "ds_managers": [ { "true_name": "张 培", "email": "644322069@qq.com", "work_for": "中国林业科学研究院热带林业实验中心", "country": "中国" } ], "category": "生态" }