土壤理化数据是评估荒漠化工程治理区防护效益与生态效益的重要指标。但尚未有研究对其进行详尽评估。本研究通过对荒漠化工程治理区及未治理区土壤样品的采集，测定了多种土壤养分、pH等关键指标。这将有助于对荒漠化治理工程的评价及后续的生态恢复。该数据可为典型荒漠化地区治理工程的建设与改进予以借鉴。", "ds_source": "
土壤样品带回实验室后，首先将其过 2 mm 土筛以剔除枯枝落叶、砾石等杂 物，然后将部分用以测定土壤理化性质（SMC 除外）以及全部用以测定 SMC 的 土样再次过 0.15 mm 土筛。过 2 mm 土筛的土样用于测定电导率（Electrical conductivity, EC），而过 0.15 mm 的土样用于测定全氮（Total nitrogen, TN）、全磷 （Total phosphorus, TP）、全钾（Total potassium, TK）、水解性氮（Alkali-hydrolyzable nitrogen, AN）、有效磷（Available phosphorus, AP）、速效钾（Available potassium, AK）、土壤有机质（Soil organic matter, SOM）、易溶盐含量（Soluble salt content, SSC）、SMC 及 pH。各指标的具体测定方式为：SMC 的测定采用烘干法，SSC 利用水液平衡法测定，pH 与 EC 分别采用电极法与电导电极法测定，SOM 的测 定采用重铬酸钾氧化—滴定法，TN、TP、TK 分别采用浓硫酸氧化—凯氏定氮法、 氢氧化钠碱熔—钥锑抗比色法与氢氧化钠碱熔—原子吸收分光光度法进行测定， 而 AP、AN 与 AK 则分别采用碳酸氢钠浸提比色法、碱解—扩散法与乙酸浸提 —原子吸收分光光度法进行测定。", "ds_process_way": "
土壤样品经 2 mm 和 0.15 mm 土筛处理后，分别用于不同理化指标的测定。各指标测定方法遵循标准实验操作，数据为数值型属性数据，经三次重复测定取平均值以减小误差，并通过异常值检验与精度核验后整理入标准化表格。", "ds_quality": "
数据经过严格加工与质量控制后获得，加工后数据精度高，重复测定相对标准偏差小于3%。数据产生和汇集过程遵循《土壤环境监测技术规范》（HJ/T 166-2004），包括样品采集、实验室处理、数据录入及整理全过程。数据录入采用 Excel 进行数字化处理，实施双人复核，并通过异常值检测与一致性检验，确保数据的完整性、准确性和可追溯性。", "ds_acq_start_time": "2021-06-15 00:00:00", "ds_acq_end_time": "2021-06-15 00:00:00", "ds_acq_place": "甘肃省敦煌市", "ds_acq_lon_east": 94.5911111111111, "ds_acq_lat_south": 40.065, "ds_acq_lon_west": 94.58694444444444, "ds_acq_lat_north": 40.06805555555556, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 27719, "ds_files_count": 2, "ds_format": "Excel", "ds_space_res": "", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "8a5585b2-eabe-41e9-970d-f7af6dcc177e.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "6d0aa454-9b64-4be5-b0cd-4cc796e6aea0", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 0, "publish_time": "2026-03-13 18:43:22", "last_updated": "2026-03-13 18:43:22", "protected": false, "protected_to": "2028-03-01 00:00:00", "lang": "zh", "cstr": "11738.11.NCDC.DESERTIFICATION.DB7169.2026", "i18n": { "en": { "title": "Soil physical and chemical datasets for desertification control areas and untreated areas", "ds_format": "Excel", "ds_source": "
After the soil sample is brought back to the laboratory, it is first sieved through a 2 mm soil sieve to remove debris such as dead branches, fallen leaves, and gravel. Then, some of the soil samples used to determine soil physical and chemical properties (excluding SMC) and all of the soil samples used to determine SMC are sieved through a 0.15 mm soil sieve again. The soil sample passing through a 2mm soil sieve is used to determine electrical conductivity (EC), while the soil sample passing through a 0.15mm sieve is used to determine total nitrogen (TN), total phosphorus (TP), total potassium (TK), hydrolyzed nitrogen (AN), available phosphorus (AP), available potassium (AK), soil organic matter (SOM), soluble salt content (SSC), SMC, and pH. Specific determination of each indicator. The method is as follows: SMC is determined by drying method, SSC was determined using the water liquid equilibrium method, while pH and EC were measured using the electrode method and conductivity electrode method, respectively. SOM was determined using the potassium dichromate oxidation titration method. TN, TP, and TK were measured using the concentrated sulfuric acid oxidation Kjeldahl nitrogen determination method, sodium hydroxide alkali melting antimony anti colorimetric method, and sodium hydroxide alkali melting atomic absorption spectrophotometry, respectively. AP, AN, and AK were measured using the sodium bicarbonate extraction colorimetric method, alkaline hydrolysis diffusion method, and acetic acid extraction atomic absorption spectrophotometry, respectively.", "ds_quality": "
The data is obtained through strict processing and quality control, with high precision after processing and a relative standard deviation of less than 3% for repeated measurements. The process of data generation and collection follows the Technical Specifications for Soil Environmental Monitoring (HJ/T 166-2004), including the entire process of sample collection, laboratory processing, data entry, and organization. The data entry is processed digitally using Excel, with a dual person review process and outlier detection and consistency checks to ensure the integrity, accuracy, and traceability of the data.", "ds_ref_way": "", "ds_abstract": "
Soil physicochemical data is an important indicator for evaluating the protective and ecological benefits of desertification control areas. But there has been no comprehensive evaluation of it yet. This study collected soil samples from desertification control areas and untreated areas, and measured various key indicators such as soil nutrients and pH. This will contribute to the evaluation of desertification control projects and subsequent ecological restoration. This data can serve as a reference for the construction and improvement of typical desertification control projects.", "ds_time_res": "", "ds_acq_place": "Dunhuang City, Gansu Province", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
The soil samples were treated with 2 mm and 0.15 mm soil sieves and used for the determination of different physical and chemical indicators. The measurement methods for each indicator follow standard experimental procedures, and the data is numerical attribute data. After three repeated measurements, the average value is taken to reduce errors, and after outlier testing and accuracy verification, it is organized into a standardized table.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "ds_topic_tags": [ "土壤养分", "土壤盐分", "荒漠化", "防护效益", "生态效益" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "甘肃省敦煌市" ], "ds_time_tags": [ 2021 ], "ds_contributors": [ { "true_name": "张克存", "email": "kecunzh@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" }, { "true_name": "潘加朋", "email": "panjiapeng@nieer.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "潘加朋", "email": "panjiapeng@nieer.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "张克存", "email": "kecunzh@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "沙漠与荒漠化" }