本数据集来源于2010—2025年新疆策勒荒漠生态系统长期定位观测，记录了荒漠综合观测场和辅助观测场植物群落组成、群落结构、生物量及优势植物不同器官元素含量。数据观测年份包括2010、2015、2020、2023、2024和2025年，共包含3个工作表和570条记录。其中，植物群落灌木层种类组成数据包括植物种名、株丛数、平均单丛茎数、基径、高度、冠幅、盖度、物候期以及地上和地下干重；灌木层群落特征数据包括优势种、植物种数、群落密度、优势种高度、群落盖度、地上和地下生物量及凋落物干重；优势植物元素含量数据包括植物不同器官的全碳、全氮、全磷、全钾、全硫、全钙、全铁、全镁、干重热值和灰分含量。该数据集可用于分析极端干旱区荒漠植物群落结构、生产力、物种组成及植物养分特征的长期变化。\n
本数据集以Excel格式存储，包含“da02”“da04”和“da13”3个工作表，共570条观测记录。\n
“da02”为荒漠植物群落灌木层种类组成数据，共152条记录和26个字段，观测年份包括2010、2015、2020、2023、2024和2025年。主要字段包括生态站及样地代码、观测日期、样方号、样方面积、植物中文名和拉丁名、株丛数、平均单丛茎数、平均基径、平均高度、平均冠幅、盖度、生活型、物候期、枝干干重、叶干重、地上部总干重和地下部总干重。\n
“da04”为荒漠植物群落灌木层群落特征数据，共110条记录和22个字段，观测年份包括2010、2015、2020、2023、2024和2025年。主要字段包括优势种、植物种数、群落密度、优势种平均高度、总盖度、枝干干重、叶干重、枯枝干重、凋落物干重、地上部总干重和地下部总干重。\n
“da13”为荒漠植物优势种不同器官元素含量数据，共308条记录和25个字段，观测年份包括2010、2015、2020和2025年。主要字段包括植物种名、拉丁名、采样部位、样品编号、室内分析日期，以及全碳、全氮、全磷、全钾、全硫、全钙、全铁、全镁、干重热值和灰分含量。采样部位包括根、茎、枝、叶、刺、种子和茎叶等。", "ds_source": "
数据来源于策勒荒漠综合观测场的荒漠植物群落调查与植物样品实验室分析。DA02于2010、2015、2020、2023、2024和2025年8月18日起开展灌木层调查，以10 m×10 m样方记录植物种类、株（丛）数、茎数、基径、高度、冠幅、盖度、物候期及地上、地下生物量等；地下部采用2 m×2 m×3 m取样单元。DA04在相同样地和样方基础上统计优势种、物种数、密度、盖度及地上、地下生物量等群落特征。DA13于2010、2015、2020、2023、2024和2025年9月24日起采集优势植物不同器官样品，区分茎、叶、刺、根等部位，经室内处理后测定全碳、全氮、全磷、全钾、全硫、全钙、全铁、全镁、干重热值和灰分等指标。具体采样日期、样地代码和样方号均保留在数据实体中。", "ds_process_way": "
原始数据按照观测年份、观测日期、样地、样方、植物物种和采样器官进行分类整理。植物名称和拉丁学名按照统一格式进行校正，生态站代码、样地代码和样方编号进行标准化。数据整理过程中对日期格式、观测单位、缺失值、异常值、物种名称及地上总干重的计算关系进行了检查。对重复记录、缺失值及明显录入错误进行核查，不对真实观测值进行人为插补或调整。", "ds_quality": "
数据质量控制包括物种中文名与拉丁名核查、样地及样方编号检查、日期格式统一、观测单位统一、缺失值标记、数值范围检查，以及地上部总干重与各生物量组分之间的逻辑关系核查。对于部分年份未开展或未完成测定的指标，统一采用NA标记，并在数据说明中注明缺失原因。并检查DA02物种组成数据与DA04群落统计数据之间的对应关系，以及DA13样品编号与植物种类、样方和器官之间的一致性，发现疑似异常记录时返回原始调查或实验记录复核，以保证数据的可比性和可追溯性。", "ds_acq_start_time": "2010-09-01 00:00:00", "ds_acq_end_time": "2025-08-18 00:00:00", "ds_acq_place": "新疆维吾尔自治区和田地区策勒县，新疆策勒荒漠草地生态系统国家野外科学观测研究站荒漠综合观测场和辅助观测场", "ds_acq_lon_east": 80.72916666666667, "ds_acq_lat_south": 37.01583333333333, "ds_acq_lon_west": 80.72916666666667, "ds_acq_lat_north": 37.01583333333333, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 106016, "ds_files_count": 0, "ds_format": "*.xlsx", "ds_space_res": "", "ds_time_res": "日", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "0a3aebcd-b672-472c-9394-c7e62d9802a9.jpg", "ds_thumb_from": 2, "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 11:36:28", "last_updated": "2026-09-03 11:36:28", "protected": false, "protected_to": "2027-08-27 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.db7766.2026", "i18n": { "en": { "title": "Long-term observations of desert plant communities and elemental composition of dominant plants in Cele, China (2010-2025)", "ds_format": "*.xlsx", "ds_source": "
The data comes from the desert plant community survey and laboratory analysis of plant samples at the Cele Desert Comprehensive Observation Site. DA02 will carry out shrub layer surveys starting from August 18, 2010, 2015, 2020, 2023, 2024 and 2025, using a 10m × 10m sample square to record plant species, number of plants (clusters), number of stems, base diameter, height, crown width, coverage, phenological period, and aboveground and underground biomass; a 2m × 2m × 3m sampling unit is used for the underground part. DA04 calculates community characteristics such as dominant species, species number, density, coverage, aboveground and underground biomass based on the same plot and quadrat. DA13 will collect samples from different organs of dominant plants from September 24, 2010, 2015, 2020, 2023, 2024 and 2025, distinguish stems, leaves, thorns, roots and other parts, and measure indicators such as total carbon, total nitrogen, total phosphorus, total potassium, total sulfur, total calcium, total iron, total magnesium, dry calorific value and ash after indoor treatment. The specific sampling date, sample site code and sample square number are retained in the data entity.", "ds_quality": "
Data quality control includes verification of Chinese names and Latin names of species, inspection of sample plots and quadrants numbers, unified date format, unified observation units, labeling of missing values, inspection of numerical ranges, and verification of the logical relationship between the total aboveground dry weight and each biomass component. For indicators whose measurements have not been carried out or completed in some years, NA markers will be uniformly used, and the reasons for the missing will be noted in the data description. The correspondence between the DA02 species composition data and the DA04 community statistical data, as well as the consistency between the DA13 sample numbers and plant species, quadrants and organs, were also checked. When suspected abnormal records were found, they were returned to the original investigation or the experimental records were reviewed to ensure comparability and traceability of the data.", "ds_ref_way": "", "ds_abstract": "
This dataset is derived from the long-term positioning observation of the Qile desert ecosystem in Xinjiang from 2010 to 2025. It records the plant community composition, community structure, biomass and the content of different organs of dominant plants in the comprehensive desert observation site and auxiliary observation site. Data observation years include 2010, 2015, 2020, 2023, 2024 and 2025, and include a total of 3 worksheets and 570 records. Among them, the shrub layer species composition data of the plant community includes plant species name, plant cluster number, average stem number in a single cluster, base diameter, height, crown width, coverage, phenological period, and aboveground and underground dry weights; the shrub layer community characteristic data includes dominant species, plant species, community density, dominant species height, community coverage, aboveground and underground biomass, and litter dry weight; Data on dominant plant element content include total carbon, total nitrogen, total phosphorus, total potassium, total sulfur, total calcium, total iron, total magnesium, dry calorific value and ash content of different organs of plants. This dataset can be used to analyze long-term changes in desert plant community structure, productivity, species composition and plant nutrient characteristics in extreme arid areas.\r\n
This dataset is stored in Excel format and contains three worksheets: \"da02\",\"da04\" and \"da13\", with a total of 570 observation records.\r\n
\"da02\" is the type composition data of shrub layers in desert plant communities, with a total of 152 records and 26 fields. The observation years include 2010, 2015, 2020, 2023, 2024 and 2025. The main fields include ecological station and plot code, observation date, plot number, plot area, Chinese and Latin names of plants, number of plants, average number of stems in a single cluster, average base diameter, average height, average crown width, coverage, life form, phenological period, dry weight of branches and branches, dry weight of leaves, total dry weight of aboveground and total dry weight of underground.\r\n
\"da04\" is data on shrub community characteristics of desert plant communities, with a total of 110 records and 22 fields. The observation years include 2010, 2015, 2020, 2023, 2024 and 2025. The main fields include dominant species, plant species, community density, average height of dominant species, total coverage, dry weight of branches and branches, dry weight of leaves, dry weight of dead branches, dry weight of litter, total dry weight of aboveground and total dry weight of underground parts.\r\n
\"da13\" is the element content data of different organs of dominant desert plant species, with a total of 308 records and 25 fields. The observation years include 2010, 2015, 2020 and 2025. The main fields include plant species name, Latin name, sampling location, sample number, indoor analysis date, as well as total carbon, total nitrogen, total phosphorus, total potassium, total sulfur, total calcium, total iron, total magnesium, dry calorific value and ash content. The sampling locations include roots, stems, branches, leaves, thorns, seeds, stems and leaves, etc.", "ds_time_res": "", "ds_acq_place": "Celle County, Hotan Prefecture, Xinjiang Uygur Autonomous Region, Desert Comprehensive Observation Site and Auxiliary Observation Site of the National Field Scientific Observation and Research Station of Celle Desert Grassland Ecosystem, Xinjiang", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
The raw data are classified and organized according to observation year, observation date, sample plot, sample plot, plant species and sampling organs. Plant names and Latin scientific names are corrected according to a unified format, and ecological station codes, sample plot codes and sample plot numbers are standardized. During the data collation process, the calculation relationships of date format, observation units, missing values, abnormal values, species names and total above-ground dry weight were checked. Duplicate records, missing values and obvious entry errors will be checked, and no artificial imputation or adjustment will be made to real observed values.", "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, "ds_topic_tags": [ "荒漠植物", "生物量", "植物养分", "群落多样性", "群落结构", "优势物种" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "策勒" ], "ds_time_tags": [ 2010, 2015, 2020, 2023, 2024, 2025 ], "ds_contributors": [ { "true_name": "张志浩", "email": "zhangzh@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_meta_authors": [ { "true_name": "曾凡江", "email": "zengfj@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": "曾凡江", "email": "zengfj@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" }