本数据集收集了2024—2025年新疆阜康荒漠地区干旱处理下荒漠植物叶片功能性状数据，旨在揭示降水减少条件下荒漠植物叶片形态和生理性状的响应特征及其干旱适应策略。试验设置自然降水对照（CK）和降水减少50%的干旱处理（Dro），每年于4月15日至5月15日开展野外调查与样品采集，在试验区域设置1 m × 1 m样方，采集成熟、完整且健康的植物叶片。数据集共包含96条观测记录，主要指标包括单叶面积、叶片厚度、气孔大小、气孔密度、角质层厚度、叶干物质含量、叶绿素含量和脯氨酸含量等，并记录年份、处理、重复区组及样地经纬度信息。该数据集可为阐明荒漠植物对降水减少的功能性状响应、干旱适应机制以及干旱区植被对气候变化的响应研究提供基础数据支撑。\n
本数据集包含2024—2025年不同降水处理下荒漠植物叶片功能性状数据，共96条观测记录。数据设置对照（CK）和降水减少（Dro）两种处理，包括年份、样方、降水处理、重复区组以及植物叶片形态和生理性状等信息。主要测定指标包括单叶面积（LA）、叶片厚度（LT）、气孔大小（SL）、气孔密度（SD）、角质层厚度（CT）、叶干物质含量（LDMC）、叶绿素含量（Chl）和脯氨酸含量（Pro）等，同时记录各样地的经纬度信息。该数据可用于分析不同降水条件下荒漠植物叶片形态结构、生理响应及其适应策略。", "ds_source": "
本数据集来源于2024—2025年新疆阜康荒漠地区开展的野外干旱控制试验。试验设置自然降水对照（CK）和降水减少50%的干旱处理（Dro）。每年于4月15日至5月15日植物生长季开展野外调查与样品采集，在试验区域设置1 m × 1 m样方，并设置重复区组。调查样方内荒漠植物生长状况并采集成熟、完整且健康的叶片样品，用于测定单叶面积（LA）、叶片厚度（LT）、气孔大小（SL）、气孔密度（SD）、角质层厚度（CT）、叶干物质含量（LDMC）、叶绿素含量（Chl）和脯氨酸含量（Pro）等叶片形态及生理性状。2024年和2025年采用一致的试验处理、样方设置、样品采集及指标测定方法，以保证不同年份数据的可比性。", "ds_process_way": "
对不同年度和处理的数据进行格式标准化，统一变量名称、缩写和计量单位，并对样品编号、处理信息及经纬度进行一致性检查。数据录入后对缺失值、异常值及明显录入错误进行核查，并与原始实验记录进行比对。经核验后的数据按照统一字段结构汇总形成Excel数据文件。数据整理过程中保留原始测定值，未对原始数据进行人为插补或修改。", "ds_quality": "
数据采集和实验测定采用统一的试验设计、样品采集及指标测定流程。2024年和2025年采用一致的采样和测定方法，以保证不同年份数据的可比性。植物叶片样品按照统一标准采集，各指标使用相同方法和计量单位进行测定，实验仪器在测定前进行检查和校准。数据录入后对样品编号、年份、处理、重复区组、计量单位及数值范围进行逐项核查，并将异常数据与原始实验记录进行比对。最终数据经过人工复核和逻辑一致性检查，以保证数据的完整性、准确性和可追溯性。", "ds_acq_start_time": "2024-04-15 00:00:00", "ds_acq_end_time": "2025-05-15 00:00:00", "ds_acq_place": "中国科学院阜康荒漠生态系统国家野外科学观测研究站及其周边荒漠生态系统试验样地，新疆维吾尔自治区", "ds_acq_lon_east": 88.16638888888889, "ds_acq_lat_south": 44.4, "ds_acq_lon_west": 87.84722222222221, "ds_acq_lat_north": 44.61666666666667, "ds_acq_alt_low": 425.0, "ds_acq_alt_high": 470.0, "ds_share_type": "apply-access", "ds_total_size": 16854, "ds_files_count": 0, "ds_format": "*.xlsx", "ds_space_res": "", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "d74f9f5e-7822-4329-898d-3862e64dd673.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 11:29:16", "last_updated": "2026-09-03 11:29:16", "protected": false, "protected_to": "2027-08-27 00:00:00", "lang": "zh", "cstr": "11738.11.ncdc.db7763.2026", "i18n": { "en": { "title": "Dataset of Leaf Traits of Desert Plants under Drought Treatments in the Fukang Desert Region (2024–2025)", "ds_format": "*.xlsx", "ds_source": "
This dataset comes from field drought control experiments conducted in Fukang Desert Area, Xinjiang from 2024 to 2025. The experiment set up natural precipitation control (CK) and drought treatment (Dro) with a 50% reduction in precipitation. Field surveys and sample collection are carried out every year during the plant growing season from April 15 to May 15. A 1 m × 1 m sample square is set up in the test area and duplicate blocks are set up. Investigate the growth status of desert plants in the sample plot and collect mature, complete and healthy leaf samples for measuring leaf morphological and physiological characteristics such as leaf area (LA), leaf thickness (LT), stomatal size (SL), stomatal density (SD), and cuticle thickness (CT), leaf dry matter content (LDMC), chlorophyll content (Chl) and proline content (Pro). Consistent test processing, sample setting, sample collection and indicator determination methods will be adopted in 2024 and 2025 to ensure comparability of data from different years.", "ds_quality": "
Data collection and experimental determination adopt a unified experimental design, sample collection and indicator determination process. Consistent sampling and measurement methods will be used in 2024 and 2025 to ensure comparability of data from different years. Plant leaf samples were collected according to unified standards, and each indicator was measured using the same method and measurement unit. The experimental instruments were inspected and calibrated before measurement. After data is entered, the sample number, year, processing, repeat block, unit of measurement and value range are checked item by item, and the abnormal data are compared with the original experimental records. The final data is subject to manual review and logical consistency check to ensure data integrity, accuracy and traceability.", "ds_ref_way": "", "ds_abstract": "
This dataset collects data on leaf functional characteristics of desert plants under drought treatment in the Fukang desert area of Xinjiang from 2024 to 2025, aiming to reveal the response characteristics of leaf morphological and physiological characteristics of desert plants under reduced precipitation conditions and their drought adaptation strategies. The test set up natural precipitation control (CK) and drought treatment (Dro) with a 50% reduction in precipitation. Field surveys and sample collection were carried out from April 15 to May 15 every year. A 1 m × 1 m sample square was set up in the test area to collect mature, complete and healthy plant leaves. The data set contains a total of 96 observation records. The main indicators include single leaf area, leaf thickness, stomatal size, stomatal density, cuticle thickness, leaf dry matter content, chlorophyll content and proline content, etc., and record the year, treatment, repeat block and sample site latitude and longitude information. This dataset can provide basic data support for clarifying the functional response of desert plants to precipitation reduction, drought adaptation mechanisms, and the response of arid area vegetation to climate change.\r\n
This dataset contains data on leaf functional characteristics of desert plants under different precipitation treatments from 2024 to 2025, with a total of 96 observation records. The data was set up with two treatments: control (CK) and precipitation reduction (Dro), including year, quadrat, precipitation treatment, duplicate blocks, and plant leaf morphology and physiological characteristics. The main measurement indicators include single leaf area (LA), leaf thickness (LT), stomatal size (SL), stomatal density (SD), cuticle thickness (CT), leaf dry matter content (LDMC), chlorophyll content (Chl) and proline content (Pro), etc., and the latitude and longitude information of various sites were recorded. This data can be used to analyze the leaf morphological structure, physiological response and adaptation strategies of desert plants under different precipitation conditions.", "ds_time_res": "", "ds_acq_place": "China Academy of Sciences Fukang National Field Scientific Observation and Research Station of Desert Ecosystem and its surrounding desert ecosystem test plots, Xinjiang Uygur Autonomous Region", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
Standardize the format of data for different years and processing, unify variable names, abbreviations and units of measurement, and check the consistency of sample numbers, processing information, and latitude and longitude. After data entry, missing values, abnormal values and obvious entry errors were checked and compared with the original experimental records. The verified data is summarized according to a unified field structure to form an Excel data file. The original measured values were retained during the data collation process, and the original data were not artificially interpolated or modified.", "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", "干旱处理", "降水减少", "根系形状", "植物功能性状", "干旱适应" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "阜康、新疆", "准噶尔盆地", "荒漠生态系统" ], "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" }