本数据集整理了2024—2025年埃及典型荒漠生态区域植物物种组成及群落结构相关数据，主要涉及伊斯梅利亚（Ismailia）和圣凯瑟琳（Saint Catherine）两个具有代表性的荒漠区域。数据围绕荒漠植物物种组成及其空间差异进行组织，记录不同地区和样方中的植物种类、分类学信息、生活型、物种出现情况、盖度、密度及相对盖度等群落指标。数据涵盖不同生态类型的荒漠植物，可反映不同区域植物群落组成、优势物种及生活型结构特征。本数据集可为埃及不同荒漠生态区域植物物种组成比较、植物多样性评价、群落结构分析以及荒漠植物生态适应研究提供基础数据，也可为不同干旱区植物群落的区域比较研究提供数据支撑。\n
数据以植物群落和物种组成信息为主体，主要字段包括调查年份、地区、处理、样方或重复编号、植物物种中文名/英文名、拉丁学名、科属信息、生活型、物种出现情况、盖度、密度和相对盖度等。数据按照“年份—地区—处理—样方—物种”进行组织，可用于统计不同地区的物种数、优势物种及生活型组成，并可进一步计算物种丰富度、相对盖度和群落多样性等指标。", "ds_source": "
数据来源于2024—2025年（7-9月）埃及典型荒漠植物群落相关调查资料及已有植物物种资料的整理，重点涉及伊斯梅利亚和圣凯瑟琳两个区域。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。植物物种信息结合调查记录及相关植物分类资料进行核对，对不同来源记录中的植物学名、科属和生活型信息进行统一。原始资料经筛选、分类和标准化后形成结构化植物物种组成数据。", "ds_process_way": "
首先对原始植物物种记录进行汇总，按照地区、年份、处理和样方建立统一编号；随后对植物拉丁学名、科属及生活型进行标准化，对同物异名、拼写差异和重复记录进行检查。群落数据统一盖度、密度和相对盖度等字段名称及计量单位，对缺失值进行统一标记，并对明显超出合理范围的数据返回原始资料核查。", "ds_quality": "
数据整理过程中对植物物种名称、分类学信息、样方编号和群落指标进行多级核查。植物名称依据植物分类资料进行统一，对重复物种记录、名称拼写错误、缺失值以及异常盖度和密度数据进行检查；盖度数据控制在合理范围，密度数据不得出现负值。整理完成后对地区—样方—物种之间的对应关系进行复核，保证数据结构完整、字段规范及不同年份间数据具有可比性。", "ds_acq_start_time": "2024-07-01 00:00:00", "ds_acq_end_time": "2025-09-30 00:00:00", "ds_acq_place": "埃及伊斯梅利亚（Ismailia）和圣凯瑟琳（Saint Catherine）典型荒漠生态区域", "ds_acq_lon_east": 36.9, "ds_acq_lat_south": 24.7, "ds_acq_lon_west": 22.0, "ds_acq_lat_north": 31.7, "ds_acq_alt_low": -130.0, "ds_acq_alt_high": 2000.0, "ds_share_type": "apply-access", "ds_total_size": 32270, "ds_files_count": 0, "ds_format": "*.xlsx", "ds_space_res": "", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "fd82bb9f-e38b-4f32-a4f8-9683134454d1.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 11:37:11", "last_updated": "2026-09-03 11:37:11", "protected": false, "protected_to": "2027-08-28 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.db7767.2026", "i18n": { "en": { "title": "Dataset of Plant Species Composition in Desert Ecosystems of Egypt (2024–2025)", "ds_format": "*.xlsx", "ds_source": "
\tThe data comes from the survey data of typical desert plant communities in Egypt from 2024 to 2025 (July to September) and the compilation of existing plant species data, focusing on the two regions of Ismailia and St. Catherine. 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 species information is checked with survey records and relevant plant classification data to unify plant scientific names, families and life forms information in records from different sources. The original data are screened, classified and standardized to form structured plant species composition data.", "ds_quality": "
During the data collation process, multi-level verification of plant species names, taxonomic information, plot numbers and community indicators is carried out. Plant names are unified based on plant classification data, and duplicate species records, name spellings, missing values, and abnormal coverage and density data are checked; the coverage data is controlled within a reasonable range, and the density data must not have negative values. After the collation is completed, the corresponding relationship between regions, quadrants and species will be reviewed to ensure that the data structure is complete, the fields are standardized, and the data is comparable between different years.", "ds_ref_way": "", "ds_abstract": "
This dataset compiles data on plant species composition and community structure in typical desert ecological areas in Egypt from 2024 to 2025, mainly involving two representative desert areas, Ismailia and Saint Catherine. The data is organized around the species composition of desert plants and their spatial differences, and records community indicators such as plant species, taxonomic information, life forms, species appearance, coverage, density and relative coverage in different areas and sample plots. The data covers desert plants of different ecological types and can reflect the composition, dominant species and life form structure characteristics of plant communities in different regions. This dataset can provide basic data for comparison of plant species composition, plant diversity evaluation, community structure analysis and ecological adaptation research of desert plants in different desert ecological regions in Egypt. It can also provide data support for regional comparative research of plant communities in different arid areas.\r\n
The data is mainly based on plant community and species composition information. The main fields include survey year, region, treatment, quadrat or duplicate number, Chinese/English name of plant species, Latin scientific name, family and genus information, life form, species appearance, coverage, density and relative coverage, etc. The data is organized according to \"year-region-treatment-quadrature-species\" and can be used to count the number of species, dominant species and life form composition in different regions, and can further calculate species richness, relative coverage, and community diversity. Indicators.", "ds_time_res": "", "ds_acq_place": "Typical desert ecological areas of Ismailia and Saint Catherine, Egypt", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
First, the records of original plant species are summarized and unified numbering is established according to region, year, treatment and sample plot; then the Latin scientific names, families and life forms of plants are standardized, and synonyms, spelling differences and duplicate records are checked. Community data unifies field names and units of measurement such as coverage, density and relative coverage, uniformly marks missing values, and returns data that significantly exceed the reasonable range to the original data for verification.", "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": [ "物种组成", "盖度", "物种数量" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "埃及伊斯梅利亚（Ismailia）", "圣凯瑟琳（Saint Catherine）" ], "ds_time_tags": [ 2024, 2025 ], "ds_contributors": [ { "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_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" }