本数据集来源于2024.4—2025.8年新疆阜康荒漠沙垄野外降水控制试验，旨在揭示沙垄坡向和坡位对荒漠植物群落极端干旱响应的调节作用。试验设置西坡底部（BW）、西坡中部（MW）、东坡中部（ME）和东坡底部（BE）4类微地形，设置自然降水对照（CK）和极端干旱处理（Dro，生长季降水量为对照的35%，即减少65%降水），每个坡位与处理组合设置6个重复，连续观测2年，共获得96条样方记录。数据内容包括生长季降水量、土壤砂粒、粉粒和黏粒含量、土壤有机碳、全氮、全磷、土壤含水量，以及植物群落盖度、密度、平均高度、物种丰富度、Shannon多样性指数、均匀度、地上净初级生产力和优势物种地上生产力等指标。本数据集可用于研究极端干旱和沙垄微地形对荒漠植物群落结构、物种多样性及生态系统生产力的交互影响。\n
本数据集以Excel格式存储，包含“Plant community & soil metrics”主数据表，共96条观测记录和20个数据字段。数据按照年份、沙垄坡位、降水处理和重复样方进行组织。主要字段包括年份（Years，年）、坡位、降水处理、重复编号、生长季降水量（GSP，mm）、土壤砂粒含量（Sand，%）、粉粒含量（Silt，%）和黏粒含量（Clay，%）、土壤有机碳（SOC，g·kg⁻¹）、土壤全氮（TN，g·kg⁻¹）、土壤全磷（TP，g·kg⁻¹）、土壤含水量（SWC，%）、群落盖度（Coverage，%）、群落密度（Density，株·m⁻²）、群落平均高度（Height，cm）、物种丰富度（Species richness，种）、Shannon多样性指数、均匀度指数、地上净初级生产力（ANPP，g·m⁻²·yr⁻¹）和优势物种地上生产力（ANPP-Dom，g·m⁻²·yr⁻¹）。其中，BW、MW、ME和BE分别表示西坡底部、西坡中部、东坡中部和东坡底部；CK表示自然降水对照，Dro表示减少65%生长季降水的极端干旱处理。", "ds_source": "
本数据来源于中国科学院阜康荒漠生态系统国家野外科学观测研究站北沙窝试验区（44.26°N，87.54°E）开展的野外原位降水控制实验。选取代表性沙垄，在西坡底部、西坡中部、东坡中部和东坡底部4个坡位设置试验，降水处理包括对照、干旱和增雨，每处理6个重复；本数据集收录其中对照和干旱处理。每个样方3 m×3 m，中心2 m×2 m为采样区。2017和2018年积雪融化后每两周调查物种数、株数、高度和盖度；生物量峰值期采用1 m²收获法采集地上部分，75 ℃烘干至恒重后称量。土壤含水量每15 d采集0–10 cm土样测定。", "ds_process_way": "
以“年份-坡位-处理-重复”为唯一识别规则整编数据。例如Y1-BW-CK-01表示第一年、西坡底部、对照处理、第1重复。BW、MW、ME、BE分别表示西坡底部、西坡中部、东坡中部和东坡底部；CK和Dro分别表示对照和干旱处理；重复编号为01–06。完成数据录入后，对样方编号、处理编码、数据单位、缺失值及异常值进行检查。", "ds_quality": "
实验采用统一的裂区设计、样方设置和降水控制方法，各处理均设6个重复。植被调查、地上生物量收获和土壤含水量测定均采用一致流程；采样区设置缓冲带以减小边缘效应。数据整理过程中对年份、坡位、处理、重复编号、指标单位和数值范围进行了统一检查，并对群落多样性及生产力指标的计算结果进行了复核。", "ds_acq_start_time": "2024-04-01 00:00:00", "ds_acq_end_time": "2025-08-20 00:00:00", "ds_acq_place": "新疆维吾尔自治区昌吉回族自治州阜康市，古尔班通古特沙漠南缘，新疆阜康荒漠生态系统国家野外科学观测研究站沙垄试验区", "ds_acq_lon_east": 87.93333333333334, "ds_acq_lat_south": 44.28333333333333, "ds_acq_lon_west": 87.93333333333334, "ds_acq_lat_north": 44.28333333333333, "ds_acq_alt_low": 475.0, "ds_acq_alt_high": 475.0, "ds_share_type": "apply-access", "ds_total_size": 26707, "ds_files_count": 0, "ds_format": "*.xlsx", "ds_space_res": "", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "52aeff4f-4aee-4e87-ad4a-462742bb1287.jpeg", "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 11:35:03", "last_updated": "2026-09-03 11:35:03", "protected": false, "protected_to": "2027-08-28 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.db7764.2026", "i18n": { "en": { "title": "Plant community and soil physicochemical properties under extreme drought across sand-dune slope positions in the Fukang Desert, China (2024-2025)", "ds_format": "*.xlsx", "ds_source": "
This data comes from the field in-situ precipitation control experiment carried out in the Beishawo Experimental Area (44.26°N, 87.54°E) of the National Field Scientific Observation and Research Station of Desert Ecosystem in Fukang, China Academy of Sciences. In 2016, representative sand ridges were selected and tested at four slope positions: the bottom of the west slope, the middle of the west slope, the middle of the east slope and the bottom of the east slope. The precipitation treatments included control, drought and precipitation enhancement, with 6 replicates for each treatment; this dataset includes control and drought treatments. Each sample is 3m × 3m, and the center is 2m × 2m as the sampling area. In 2017 and 2018, the number of species, plant number, height and coverage were investigated every two weeks after the snow melted; the above-ground parts were collected using the 1 m2 harvest method during the peak period of biomass, dried at 75 ° C to constant weight, and then weighed. Soil water content was measured by collecting 0 - 10 cm soil samples every 15 days.", "ds_quality": "
The experiment adopted a unified split plot design, sample setting and precipitation control method, and each treatment was set up with 6 replicates. Consistent processes are used for vegetation surveys, aboveground biomass harvesting and soil water content measurement; buffer zones are set up in sampling areas to reduce edge effects. During the data collation process, the year, slope position, treatment, duplicate numbering, indicator units and numerical range were uniformly inspected, and the calculation results of community diversity and productivity indicators were reviewed.", "ds_ref_way": "", "ds_abstract": "
This dataset is derived from the field precipitation control experiment on desert sandy ridges in Fukang, Xinjiang from 2024.4 to 2025.8. It aims to reveal the regulatory effect of sandy ridge slope direction and slope position on the response of desert plant communities to extreme drought. Four types of microtopography were set up in the experiment, namely, the bottom of the west slope (BW), the middle of the east slope (MW), the middle of the east slope (ME) and the bottom of the east slope (BE). Natural precipitation control (CK) and extreme drought treatment (Dro) were set up. The precipitation in the growing season was 35% of the control, that is, the precipitation was reduced by 65%). Six replicates were set for each slope position and treatment combination. Continuous observation was carried out for 2 years, and a total of 96 plot records were obtained. The data includes growing season precipitation, soil sand, silt and clay content, soil organic carbon, total nitrogen, total phosphorus, soil water content, as well as plant community coverage, density, average height, species richness, Shannon diversity index, evenness, aboveground net primary productivity and aboveground productivity of dominant species and other indicators. This dataset can be used to study the interactive effects of extreme drought and sandy ridge microtopography on desert plant community structure, species diversity and ecosystem productivity.\r\n
This dataset is stored in Excel format and contains the \"Plant community & soil metrics\" main data table, with a total of 96 observation records and 20 data fields. Data were organized by year, sandy ridge slope position, precipitation treatment, and duplicate plots. The main fields include year (Years), slope position, precipitation treatment, duplicate numbering, growing season precipitation (GSP, mm), soil sand content (Sand, %), silt content (Silk, %) and clay content (Clay, %), soil organic carbon (SOC, g·kg ³), soil total nitrogen (TN, g·kg ³), soil total phosphorus (TP, g·kg ³), soil water content (SWC, %), community coverage (Coverage, %), community density (plant·m ²), average community height (Height, cm), Species richness (species), Shannon diversity index, evenness index, above-ground net primary productivity (ANPP, g·m ²·yr ³) and above-ground productivity of dominant species (ANPP-Dom, g·m ²·yr ³). Among them, BW, MW, ME and BE represent the bottom of the west slope, the middle of the west slope, the middle of the east slope and the bottom of the east slope respectively;CK represents the natural precipitation control, and Dro represents the extreme drought treatment that reduces precipitation during the growing season by 65%.", "ds_time_res": "", "ds_acq_place": "Fukang City, Changji Hui Autonomous Prefecture, Xinjiang Uygur Autonomous Region, southern edge of Gurbantungut Desert, sandy ridge test area of the National Field Scientific Observation and Research Station of Desert Ecosystem in Fukang, Xinjiang", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
Data is compiled based on the unique identification rule of \"year-slope-processing-duplication\". For example, Y1-BW-CK-01 represents the first year, the bottom of the western slope, the control treatment, and the first repeat. BW, MW, ME, BE represent the bottom of the west slope, the middle of the west slope, the middle of the east slope and the bottom of the east slope respectively;CK and Dro represent the control and drought treatment respectively; the duplicate numbers are 01 - 06. After completing data entry, check the sample number, processing code, data unit, missing values and abnormal values.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 0, "license_type": "", "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": [ "土壤理化性质", "植物群落特征", "群落多样性", "群落结构", "生态系统生产力" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "新疆", "阜康" ], "ds_time_tags": [ 2024, 2025 ], "ds_contributors": [ { "true_name": "臧永新", "email": "zangyongxin@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" }