本数据集包含2024—2025年埃及典型荒漠生态系统植物地上—地下功能性状、土壤理化性质及植物群落结构数据，共36条样本记录。数据主要包括三部分：（1）植物性状数据，包括根直径、根长度、根系氮磷含量、脯氨酸含量、气孔形态与密度、叶绿素、类胡萝卜素、叶片及叶肉厚度、叶面积、叶片氮磷含量等；（2）土壤理化性质，包括pH、电导率、总溶解固体、土壤含水量、有机质、CaCO₃、Ca²⁺、Mg²⁺、Na⁺、K⁺、土壤机械组成以及SOC、TN和TP等；（3）植物群落结构，包括物种丰富度、Shannon-Wiener多样性指数、Pielou均匀度指数和地上净初级生产力（ANPP）。数据同时记录采样年份、地区、处理及样地经纬度，可用于分析不同荒漠环境条件下植物功能性状、土壤环境与群落结构之间的关系。\n
本数据集包含2024—2025年埃及典型荒漠生态系统植物地上—地下功能性状、土壤理化性质及植物群落结构数据，共36条样本记录。数据主要包括三部分：（1）植物性状数据，包括根直径、根长度、根系氮磷含量、脯氨酸含量、气孔形态与密度、叶绿素、类胡萝卜素、叶片及叶肉厚度、叶面积、叶片氮磷含量等；（2）土壤理化性质，包括pH、电导率、总溶解固体、土壤含水量、有机质、CaCO₃、Ca²⁺、Mg²⁺、Na⁺、K⁺、土壤机械组成以及SOC、TN和TP等；（3）植物群落结构，包括物种丰富度、Shannon-Wiener多样性指数、Pielou均匀度指数和地上净初级生产力（ANPP）。数据同时记录采样年份、地区、处理及样地经纬度，可用于分析不同荒漠环境条件下植物功能性状、土壤环境与群落结构之间的关系。", "ds_source": "
本数据集来源于2024—2025年埃及典型荒漠生态系统野外调查与样品采集，采样时间为每年7月1日至8月20日。研究区域包括伊斯梅利亚（Ismailia）和圣凯瑟琳（Saint Catherine）地区。在各调查区域设置10 m × 10 m样方，记录样方内植物物种组成及物种数量，用于表征植物群落结构。对于草本植物，在样方内采用五点取样法设置采样点，采集植物地上部分、地下部分及其对应的土壤样品。植物样品用于测定地上和地下功能性状及生理生化指标，土壤样品用于测定土壤水分、盐分、养分及碳氮磷等理化性质。所有野外调查信息和样品测定结果经统一编号和整理后形成该数据集。", "ds_process_way": "
数据整理过程中统一变量名称、计量单位和数据格式，对样品编号、地区名称及处理信息进行一致性检查；对数值型指标进行缺失值、录入错误及异常值检查，并结合原始调查记录和实验测定记录进行核对。经质量检查后的植物性状、土壤理化性质和群落结构数据分别整理为独立数据表，最终以Excel格式汇总形成标准化数据集。数据加工过程不改变原始实验测定值。", "ds_quality": "
数据采集和实验测定按照统一的野外调查、样品采集及实验分析流程开展。野外调查过程中统一样地布设、样品编号和记录方法；植物及土壤样品采集后按照相应指标的保存要求进行处理，并采用一致的实验条件和测定方法进行分析。实验仪器在测定前进行校准，并通过重复测定及原始记录核查控制数据质量。数据录入后对样品编号、处理、单位和数值范围进行检查，对缺失值和明显异常值与原始记录进行复核。最终数据经人工校验和逻辑一致性检查，保证数据的完整性、一致性和可追溯性。", "ds_acq_start_time": "2024-07-01 00:00:00", "ds_acq_end_time": "2025-08-20 00:00:00", "ds_acq_place": "埃及伊斯梅利亚（Ismailia）和圣凯瑟琳（Saint Catherine）典型荒漠生态系统", "ds_acq_lon_east": 33.98694444444445, "ds_acq_lat_south": 28.50888888888889, "ds_acq_lon_west": 32.21805555555556, "ds_acq_lat_north": 30.621111111111112, "ds_acq_alt_low": 0.0, "ds_acq_alt_high": 1600.0, "ds_share_type": "apply-access", "ds_total_size": 24848, "ds_files_count": 0, "ds_format": "*.xlsx", "ds_space_res": "", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "4d650844-a324-479a-ad03-61c372581151.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 11:37:46", "last_updated": "2026-09-03 11:37:46", "protected": false, "protected_to": "2027-08-27 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.db7768.2026", "i18n": { "en": { "title": "Dataset of Aboveground and Belowground Plant Traits, Soil Physicochemical Properties, and Community Structure in Egyptian Desert Ecosystems (2024–2025)", "ds_format": "*.xlsx", "ds_source": "
This dataset is derived from the field survey and sample collection of typical desert ecosystems in Egypt from 2024 to 2025. The sampling time is from July 1 to August 20 every year. The study areas include the Ismailia and Saint Catherine regions. A 10 m × 10 m sample square was set up in each survey area to record the plant species composition and number of species within the sample square to characterize the plant community structure. For herbaceous plants, sampling points are set up using the five-point sampling method within the sample square, and samples of the above-ground parts, underground parts of the plants and their corresponding soil are collected. Plant samples are used to determine above-ground and underground functional characteristics and physiological and biochemical indicators, while soil samples are used to determine soil moisture, salt, nutrients, carbon, nitrogen and phosphorus and other physical and chemical properties. All field survey information and sample measurement results are uniformly numbered and sorted to form this data set.", "ds_quality": "
Data collection and experimental determination are carried out in accordance with the unified field investigation, sample collection and experimental analysis process. During the field investigation, the layout of sample plots, sample numbering and recording methods will be unified; after collection, plant and soil samples will be processed according to the preservation requirements of the corresponding indicators, and consistent experimental conditions and determination methods will be used for analysis. Experimental instruments are calibrated before measurement, and data quality is controlled through repeated measurements and original record verification. After data entry, sample numbers, processing, units and value ranges are checked, and missing values and obvious abnormal values are reviewed with the original records. The final data is subjected to manual verification and logical consistency check to ensure data integrity, consistency and traceability.", "ds_ref_way": "", "ds_abstract": "
This dataset contains data on above-ground and underground plant functional properties, soil physical and chemical properties and plant community structure in typical desert ecosystems in Egypt from 2024 to 2025, with a total of 36 sample records. The data mainly includes three parts: (1) Plant characteristic data, including root diameter, root length, root nitrogen and phosphorus content, proline content, stomatal shape and density, chlorophyll, carotenoid, leaf and mesophyll thickness, leaf area, leaf nitrogen and phosphorus content, etc.;(2) Soil physical and chemical properties, including pH, electrical conductivity, total dissolved solids, soil water content, organic matter, CaCO, Ca², Mg², Na, K, soil mechanical composition, and SOC, TN and TP;(3) Plant community structure, including species richness, Shannon-Wiener diversity index, Pielou evenness index and above-ground net primary productivity (ANPP). The data also records the sampling year, region, treatment, and latitude and longitude of the sample site, and can be used to analyze the relationship between plant functional characteristics, soil environment and community structure under different desert environmental conditions.\r\n
This dataset contains data on above-ground and underground plant functional properties, soil physical and chemical properties and plant community structure in typical desert ecosystems in Egypt from 2024 to 2025, with a total of 36 sample records. The data mainly includes three parts: (1) Plant characteristic data, including root diameter, root length, root nitrogen and phosphorus content, proline content, stomatal shape and density, chlorophyll, carotenoid, leaf and mesophyll thickness, leaf area, leaf nitrogen and phosphorus content, etc.;(2) Soil physical and chemical properties, including pH, electrical conductivity, total dissolved solids, soil water content, organic matter, CaCO, Ca², Mg², Na, K, soil mechanical composition, and SOC, TN and TP;(3) Plant community structure, including species richness, Shannon-Wiener diversity index, Pielou evenness index and above-ground net primary productivity (ANPP). The data also records the sampling year, region, treatment, and latitude and longitude of the sample site, and can be used to analyze the relationship between plant functional characteristics, soil environment and community structure under different desert environmental conditions.", "ds_time_res": "", "ds_acq_place": "Typical desert ecosystems in Ismailia and Saint Catherine, Egypt", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
During the data collation process, variable names, units of measurement and data formats are unified, and sample numbers, area names and processing information are checked for consistency; numerical indicators are checked for missing values, entry errors and abnormal values, and are combined with the original investigation records and experimental measurement records are checked. The plant characteristics, soil physical and chemical properties and community structure data after quality inspection were compiled into independent data tables and finally summarized in Excel format to form a standardized data set. The data processing process does not change the original experimental measurement 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": [ "植物性状", "光合性状", "根系性状", "化学计量", "植物群落特征" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "埃及伊斯梅利亚", "圣凯瑟琳" ], "ds_time_tags": [ 2024, 2025 ], "ds_contributors": [ { "true_name": "Erola Fenollosa", "email": "erola.fenollosaromani@biology.ox.ac.uk", "work_for": "Nanjing Agricultural University; University of Oxford", "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": "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" }