本数据集包含新疆塔克拉玛干沙漠南缘不同地下水埋深条件下土壤磷组分及相关土壤理化性质数据。研究设置2.5 m、4.5 m和11.0 m三种地下水埋深梯度，采用Hedley磷分级方法测定土壤树脂磷（Resin-P）、碳酸氢钠无机磷（NaHCO₃-Pi）、碳酸氢钠有机磷（NaHCO₃-Po）、氢氧化钠无机磷（NaOH-Pi）、氢氧化钠有机磷（NaOH-Po）、稀盐酸磷（HCl-Pi）、浓盐酸无机磷（Conc.HCl-Pi）、浓盐酸有机磷（Conc.HCl-Po）和残余磷（Residual-P）等9种土壤磷组分，同时包括土壤有机碳、无机氮、硝态氮、铵态氮、有效磷、有效钾、土壤含水量、pH以及微生物生物量碳、氮、磷等指标。该数据集可用于分析地下水变化对极端干旱生态系统土壤磷循环及养分限制机制的影响。\n
本数据集包含中国新疆塔克拉玛干沙漠南缘干旱沙漠生态系统中三个地下水深度(2.5m、4.5m和11.0m)下的土壤磷组分及相关土壤理化性质。土壤磷组分采用Hedley磷组分法测定，包括树脂态磷(Resin-P)、碳酸氢钠磷(NaHCO3-Pi)碳酸氢钠磷(NaHCO3-Po)、氢氧化钠磷(NaOH-Pi)、氢氧化钠磷(NaOH-Po)盐酸磷(HCl-Pi)、浓盐酸磷(Conc.IHCI-Pi)、浓盐酸磷(Conc.HCI-Po)和残余态磷(Residual-P)。其他测定指标包括土壤有机碳、无机氮、硝态氮、铵态氮、有效磷、有效钾、土壤水分、pH值以及微生物生物量碳、氮和磷。", "ds_source": "
本数据集的一手数据来源于中国新疆塔克拉玛干沙漠南缘新疆策勒国家荒漠与草原生态系统观测研究站天然荒漠综合观测场。根据研究区地下水自然分布状况及前期观测结果，选择地下水埋深分别为2.5、4.5和11.0 m的3个代表性天然荒漠样地，样地坐标分别为37°01′18″N、80°42′29″E，37°00′40″N、80°42′13″E和37°00′33″N、80°42′25″E。\n
土壤样品于2024年4月20日-5月5日采集。每个地下水埋深样地采用S形布点方式设置15个取样点，采集0–20 cm土层土壤。每3个取样点采集的土壤按照四分法混合形成1个独立复合样品，即每个地下水埋深获得5个复合样品，3个地下水埋深共获得15个复合土壤样品。样品采集后及时带回实验室，去除较大颗粒、植物根系及其他杂物后分为两部分：一部分于阴凉通风处自然风干，用于土壤基本理化性质和土壤磷组分测定；另一部分于4 ℃条件下冷藏保存，用于微生物相关指标测定。\n
土壤磷组分采用Hedley连续分级提取法测定。土壤样品自然风干后过0.15 mm筛，依次获得树脂磷、碳酸氢钠无机磷、碳酸氢钠有机磷、氢氧化钠无机磷、氢氧化钠有机磷、稀盐酸磷、浓盐酸无机磷、浓盐酸有机磷和残余磷，各提取液中的磷采用磷钼蓝比色法测定。 土壤有机碳采用重铬酸钾-浓硫酸外加热法测定；硝态氮采用连续流动分光光度计镉还原法测定；铵态氮采用水杨酸法测定；有效磷采用比色法测定；有效钾采用火焰光度法测定；土壤pH采用pH计测定；土壤含水量采用烘干法测定。 具体样地设置、采样及指标测定流程参见龙兰兰等《地下水埋深对干旱荒漠生态系统土壤磷组分的影响》。", "ds_process_way": "
实验测定获得的原始观测数据按照地下水埋深和样品编号进行汇总整编，并对观测要素名称、缩写、计量单位和数据格式进行统一和标准化。数据录入后与原始实验记录进行核对，检查样品编号、缺失值和明显录入错误。本数据集未进行数据插补、平滑处理或人为调整，保留实验测定获得的原始观测值。", "ds_quality": "
本数据集采用统一的样地布设、野外采样、样品保存和实验测定流程，以保证不同地下水埋深样品之间的可比性。3个地下水埋深样地均采用相同的S形布点方法，每个样地设置15个原始取样点，每3个取样点按照四分法混合形成1个独立复合样品，每个地下水埋深获得5个复合样品，以降低单一取样点土壤空间异质性造成的影响。所有样品的采样土层统一为0–20 cm，并按照相同的样品前处理和保存条件进行处理。\n
实验室测定过程中，同一指标的所有样品采用统一的实验方法、操作流程和仪器条件进行测定。土壤磷组分采用Hedley连续分级提取法，并采用磷钼蓝比色法测定提取液中的磷含量；土壤有机碳、硝态氮、铵态氮、有效磷、有效钾、pH和土壤含水量均采用相应的统一实验方法测定。 数据形成后，对样品编号、地下水埋深、指标名称、计量单位、缺失值及数据录入情况进行核查，并与原始实验记录进行比对，保证数据记录与原始测定结果一致。", "ds_acq_start_time": "2024-04-20 00:00:00", "ds_acq_end_time": "2024-05-05 00:00:00", "ds_acq_place": "新疆维吾尔自治区塔克拉玛干沙漠南缘新疆策勒荒漠草地生态系统国家野外科学观测研究站", "ds_acq_lon_east": 80.70805555555556, "ds_acq_lat_south": 37.009166666666665, "ds_acq_lon_west": 80.70361111111112, "ds_acq_lat_north": 37.02166666666667, "ds_acq_alt_low": 1366.0, "ds_acq_alt_high": 1366.0, "ds_share_type": "apply-access", "ds_total_size": 13440, "ds_files_count": 2, "ds_format": "*.xlsx", "ds_space_res": "", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "e4dd642a-ae78-4a54-a301-f346547de7a7.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "c49c8ab1-d3df-4dd2-b84b-8709ba45d418", "ds_serv_man": null, "ds_serv_phone": null, "ds_serv_mail": null, "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 0, "publish_time": "2026-09-03 11:40:36", "last_updated": "2026-09-03 11:40:36", "protected": false, "protected_to": "2027-08-27 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.db7773.2026", "i18n": { "en": { "title": "Soil phosphorus fractions dataset under different groundwater depths in an arid desert ecosystem (2024)", "ds_format": "*.xlsx", "ds_source": "
The primary data of this dataset comes from the Natural Desert Comprehensive Observation Site of the Cele National Desert and Grassland Ecosystem Observation and Research Station in Xinjiang on the southern edge of the Taklimakan Desert in Xinjiang, China. Based on the natural distribution of groundwater in the study area and previous observation results, three representative natural desert sample plots with groundwater burial depths of 2.5, 4.5 and 11.0 m respectively were selected. The plot coordinates are 37°01′18 \"N, 80°42′29\" E, 37°00′40 \"N, 80°42′13\" E and 37°00′33 \"N, 80°42′25\" E, respectively.\r\n
Soil samples will be collected from April 20 to May 5, 2024. Fifteen sampling points were set up in an S-shaped distribution method for each groundwater burial depth sample site to collect soil in a 0 - 20 cm layer layer. The soil collected at every three sampling points was mixed according to the quartering method to form an independent composite sample, that is, 5 composite samples were obtained for each groundwater depth, and a total of 15 composite soil samples were obtained for 3 groundwater depths. After collection, the samples will be brought back to the laboratory in time. After removing large particles, plant roots and other debris, they will be divided into two parts: one part will be naturally air-dried in a cool and ventilated place for the determination of basic physical and chemical properties of the soil and soil phosphorus components; the other part will be stored refrigerated at 4 ° C for the determination of microbial-related indicators.\r\n
Soil phosphorus components were determined using Hedley's continuous fractional extraction method. Soil samples were naturally air-dried and passed through a 0.15 mm sieve to obtain resin phosphorus, sodium bicarbonate inorganic phosphorus, sodium bicarbonate organic phosphorus, sodium hydroxide inorganic phosphorus, sodium hydroxide organic phosphorus, dilute phosphorus hydrochloride, concentrated hydrochloric acid inorganic phosphorus, concentrated hydrochloric acid organic phosphorus and residual phosphorus. The phosphorus in each extract was determined using a phosphorus-molybdenum blue colorimetric method. Soil organic carbon is determined by potassium dichromate and concentrated sulfuric acid external heating method; nitrate nitrogen is determined by continuous flow spectrophotometer cadmium reduction method; ammonium nitrogen is determined by salicylic acid method; available phosphorus is determined by colorimetric method; available potassium is determined by flame photometry method; soil pH is determined by pH meter; soil water content is determined by drying method. For specific sample plot setting, sampling and indicator determination procedures, please refer to Long Lanlan et al.\"Impact of groundwater burial depth on soil phosphorus components in arid desert ecosystems.\"", "ds_quality": "
This data set adopts a unified sample plot layout, field sampling, sample preservation and experimental determination process to ensure comparability between samples with different groundwater burial depths. The same S-shaped distribution method is used for the three groundwater burial depth sample sites. Each sample site is set up with 15 original sampling points. Each 3 sampling points are mixed according to the quartering method to form an independent composite sample. Each groundwater burial depth is obtained. Five composite samples are used to reduce the impact of soil spatial heterogeneity at a single sampling point. The sampling soil layer for all samples is uniform to 0 - 20 cm, and is processed according to the same sample pretreatment and storage conditions.\r\n
During the laboratory measurement process, all samples with the same indicator are measured using unified experimental methods, operating procedures and instrument conditions. Soil phosphorus components were determined using Hedley's continuous hierarchical extraction method, and phosphorus content in the extract was determined using phosphorus molybdenum blue colorimetric method; soil organic carbon, nitrate nitrogen, ammonium nitrogen, available phosphorus, available potassium, pH and soil water content were all determined using corresponding unified experimental methods. After the data is formed, the sample number, groundwater depth, indicator name, unit of measurement, missing values and data entry status are checked, and compared with the original experimental records to ensure that the data records are consistent with the original measurement results.", "ds_ref_way": "", "ds_abstract": "
This dataset contains soil phosphorus components and related soil physical and chemical properties data under different groundwater burial depths in the southern edge of the Taklimakan Desert in Xinjiang. Three groundwater burial depth gradients of 2.5 m, 4.5 m and 11.0 m were set up, and the Hedley phosphorus classification method was used to measure soil resin phosphorus (Resin-P) and sodium bicarbonate inorganic phosphorus (NaHCO-Pi), sodium bicarbonate organic phosphorus (NaHCO-Po), sodium hydroxide inorganic phosphorus (NaOH-Pi), sodium hydroxide organic phosphorus (NaOH-Po), dilute phosphorus hydrochloride (HCl-Pi), concentrated inorganic phosphorus hydrochloride There are nine soil phosphorus components including (Conc.HCl-Pi), concentrated organic phosphorus hydrochloride (Conc.HCl-Po) and residual phosphorus (Residual-P), and also include soil organic carbon, inorganic nitrogen, nitrate nitrogen, ammonium nitrogen, available phosphorus, available potassium, soil water content, pH, and microbial biomass carbon, nitrogen, phosphorus and other indicators. This dataset can be used to analyze the impact of groundwater changes on soil phosphorus cycles and nutrient restriction mechanisms in extremely arid ecosystems.\r\n
This dataset includes soil phosphorus components and related soil physical and chemical properties at three groundwater depths (2.5m, 4.5m and 11.0m) in the arid desert ecosystem on the southern edge of the Taklimakan Desert in Xinjiang, China. Soil phosphorus components were determined using the Hedley phosphorus composition method, including resin-P, sodium phosphorus bicarbonate (NaHCO3-Pi), sodium phosphorus bicarbonate (NaHCO3-Po), sodium phosphorus hydroxide (NaOH-Pi), sodium phosphorus hydroxide (NaOH-Po), phosphorus hydrochloride (HCl-Pi), concentrated phosphorus hydrochloride (Conc.IHCI-Pi), concentrated phosphorus hydrochloride (Conc.HCI-Po) and residual phosphorus (Residual-P). Other measurement indicators include soil organic carbon, inorganic nitrogen, nitrate nitrogen, ammonium nitrogen, available phosphorus, available potassium, soil moisture, pH, and microbial biomass carbon, nitrogen and phosphorus.", "ds_time_res": "", "ds_acq_place": "Xinjiang Uygur Autonomous Region National Field Scientific Observation and Research Station of the Desert Grassland Ecosystem on the southern edge of the Taklimakan Desert, Xinjiang Cele Desert", "ds_space_res": "", "ds_projection": "", "ds_share_type": "apply-access", "ds_process_way": "
The original observation data obtained from experimental measurements are summarized and organized according to the groundwater depth and sample number, and the names, abbreviations, units of measurement and data formats of observation elements are unified and standardized. After data is entered, it is checked with the original experimental records to check for sample numbers, missing values and obvious entry errors. This dataset has not undergone data interpolation, smoothing or artificial adjustment, and the original observations obtained from experimental measurements are retained.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 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, "belong_to_nieer": false, "allow_update_data": false, "created_from": "fair", "ds_topic_tags": [ "土壤磷组分", "地下水埋深", "Hedley磷分级", "土壤养分循环", "荒漠生态系统", "土壤微生物" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "新疆策勒", "塔克拉玛干沙漠", "南疆荒漠", "中国西北干旱区" ], "ds_time_tags": [ 2024 ], "ds_contributors": [ { "true_name": "龙兰兰", "email": "2404865603@qq.com", "work_for": "中国科学院新疆生态与地理研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "张波", "email": "zhangbo@ms.xjb.ac.cn", "work_for": "中国科学院新疆生态与地理研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "张波", "email": "zhangbo@ms.xjb.ac.cn", "work_for": "中国科学院新疆生态与地理研究所", "country": "中国" } ], "category": "生态" }