{
    "created": "2026-09-03 10:28:50",
    "updated": "2026-09-03 17:02:04",
    "id": "40f9a5b2-78ab-4012-977f-baac593fe9b1",
    "version": 0,
    "ds_topic": null,
    "title_cn": "新疆不同地区骆驼刺种群结构、生物量分配及多器官功能性状数据集（2025年）",
    "title_en": "Data sets of Camel spina population structure, biomass allocation and multiple organ functional traits in different regions of Xinjiang (2025)",
    "ds_abstract": "<p>&emsp;&emsp;本数据集来源于新疆不同荒漠地区（2025.7.1-8.28）骆驼刺种群调查和植物功能性状测定，旨在揭示骆驼刺种群结构、生物量分配及多器官功能性状的空间差异。数据集包含12个工作表和175条样地层级统计记录。种群和生物量数据涵盖S1—S15共15个样地，包括种群盖度、高度、株丛数，叶、刺、茎和根生物量，以及各器官生物量分配比例和根冠比。器官生态化学计量数据包括叶、刺、茎和根的碳、氮、磷含量及其化学计量比。叶片功能性状包括比叶重、叶厚度、叶组织密度、单位质量和单位面积氮含量、叶脉密度、最大气孔导度及上下表皮气孔特征。解剖性状包括叶片表皮细胞壁和角质层厚度，刺和茎的气孔长度及密度，以及茎导管直径、纹孔面积和纹孔密度。数据以样地统计均值、误差及显著性分组形式表示，可用于分析荒漠深根植物种群特征、资源分配、水力安全和养分利用策略对区域环境差异的响应。\n<p>&emsp;&emsp;本数据集以Excel格式存储，包括12个工作表和175条样地层级统计记录。\n<p>&emsp;&emsp;“骆驼刺的主要种群数量特征”工作表包含S1—S15共15个样地的种群盖度、平均高度和株丛数。\n<p>&emsp;&emsp;“骆驼刺的生物量”和“骆驼刺的生物量分配比例”工作表分别记录15个样地骆驼刺叶、刺、茎和根生物量，以及叶质比、刺质比、茎质比、根质比和根冠比。\n<p>&emsp;&emsp;叶、刺、茎和根生态化学计量特征分别存储于4个工作表中，包括各器官碳、氮和磷含量，以及质量基础的碳氮比、碳磷比和氮磷比。\n<p>&emsp;&emsp;“骆驼刺主要叶经济性状”工作表包含S1—S14共14个样地的比叶重、叶厚度、叶组织密度、单位质量氮浓度和单位面积氮浓度。\n<p>&emsp;&emsp;“骆驼刺主要叶水力性状”工作表包含叶脉密度、最大气孔导度、叶片上下表皮气孔长度和气孔密度。\n<p>&emsp;&emsp;其余工作表记录叶片上下表皮细胞壁及角质层厚度、刺和茎表皮气孔长度及气孔密度，以及茎导管直径、纹孔面积和纹孔密度。各指标以样地均值、误差及显著性分组字母表示。",
    "ds_source": "<p>&emsp;&emsp;本数据来源于2025.7.1-8.28期间对我国西北干旱区自然骆驼刺种群开展的野外调查和采样，依据《中国植物志》《中国植被地图集》及物种分布情况，在塔里木盆地南、北缘、吐鲁番盆地、准噶尔盆地南缘和河西走廊西部选择15个以骆驼刺为优势种的代表性样地。 每个样地随机设置3个10 m×10 m样方，调查盖度、株高和株丛数，并随机选择3株骆驼刺，采集叶、刺、茎及0–100 cm根系，80 ℃烘干至恒重后测定各器官生物量。在0–20、20–40、40–60、60–80和80–100 cm土层采集土壤，测定含水量、碱解氮、有效磷和有机碳。",
    "ds_process_way": "<p>&emsp;&emsp;以15个采样地点为基本层级进行数据整编，统一编号为S1–S15，其中S表示采样点（Site），数字表示不同样地的顺序编号。每个样地3个样方及3株取样植株按照实际调查顺序对应记录。统一变量名称、缩写、单位和数据格式；对重复记录、缺失值及异常数据进行核查，疑似异常值返回原始记录复核，不对真实观测值进行人为修改或插补。",
    "ds_quality": "<p>&emsp;&emsp;所有样地采用统一的样方设置、植物取样和土壤分层采集流程。植物样品统一80 ℃烘干至恒重；土壤含水量采用烘干差值法，碱解氮采用碱溶液扩散法，有效磷采用NaHCO₃浸提-钼酸盐/抗坏血酸蓝法，有机碳采用K₂Cr₂O₇-H₂SO₄消解滴定法测定。数据产出后核查样地编号、样方、土层、单位、缺失值及异常值，确保数据一致性和可追溯性。",
    "ds_acq_start_time": "2025-07-01 00:00:00",
    "ds_acq_end_time": "2025-08-28 00:00:00",
    "ds_acq_place": "吐鲁番盆地、塔里木盆地北缘、塔里木盆地南缘、河西走廊西部",
    "ds_acq_lon_east": 96.56666666666666,
    "ds_acq_lat_south": 37.416666666666664,
    "ds_acq_lon_west": 81.13333333333334,
    "ds_acq_lat_north": 45.18333333333333,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "apply-access",
    "ds_total_size": 37038,
    "ds_files_count": 0,
    "ds_format": "*.xlsx",
    "ds_space_res": "",
    "ds_time_res": "年",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "40f9a5b2-78ab-4012-977f-baac593fe9b1.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 11:40:03",
    "last_updated": "2026-09-03 11:40:03",
    "protected": false,
    "protected_to": "2027-08-27 00:00:00",
    "lang": "zh",
    "cstr": "11738.11.ncdc.db7772.2026",
    "i18n": {
        "en": {
            "title": "Data sets of Camel spina population structure, biomass allocation and multiple organ functional traits in different regions of Xinjiang (2025)",
            "ds_format": "*.xlsx",
            "ds_source": "<p>&emsp;&emsp;This data comes from the field survey and sampling of the natural camel thorn population in the arid areas of northwest China during July 1-August 28, 2025. According to the Flora of China,\"Atlas of Vegetation of China\" and species distribution, 15 representative sample sites with camel thorn as the dominant species were selected in the south and northern margins of the Tarim Basin, Turpan Basin, southern margin of the Junggar Basin and western Hexi Corridor. Three 10 m×10 m quadrats were randomly set up in each plot to investigate the coverage, plant height and number of plant clusters, and 3 Alhagi were randomly selected to collect leaves, thorns, stems and roots of 0 - 100 cm. After drying at 80 ℃ to constant weight, the biomass of each organ was determined. Soil samples were collected at 0 - 20, 20 - 40, 40 - 60, 60 - 80 and 80 - 100 cm layers for determination of water content, available nitrogen, available phosphorus and organic carbon.",
            "ds_quality": "<p>&emsp;&emsp;All sample plots adopt a unified quadrat setup, plant sampling and soil stratified collection process. Plant samples are uniformly dried at 80 ° C to constant weight; soil moisture content is determined by drying difference method, alkali solution diffusion method is used for alkali-hydrolyzed nitrogen, effective phosphorus is used for NaHCO extraction-molybdate/ascorbate blue method, and organic carbon is determined by K ˇ Cr ˇ O-H ˇ SO digestion titration method. After data is produced, check the plot numbers, quadrants, soil layers, units, missing values and abnormal values to ensure data consistency and traceability.",
            "ds_ref_way": "",
            "ds_abstract": "<p>&emsp;&emsp;This dataset is derived from the population survey and plant functional characteristics determination of Cami spines in different desert areas of Xinjiang (2025.7.1 - 8.28). It aims to reveal the spatial differences in Cami spines population structure, biomass allocation and multi-organ functional characteristics. The dataset contains 12 worksheets and 175 sample plot level statistical records. Population and biomass data cover a total of 15 plots from S1-S15, including population coverage, height, number of clusters, leaf, thorn, stem and root biomass, as well as the biomass allocation ratio of each organ and root-to-shoot ratio. Organ ecological stoichiometry data include the carbon, nitrogen, phosphorus contents and their stoichiometric ratios of leaves, thorns, stems and roots. Leaf functional characteristics include specific leaf weight, leaf thickness, leaf tissue density, nitrogen content per unit mass and unit area, vein density, maximum stomatal conductance and stomatal characteristics of upper and lower epidermis. Anatomical characteristics include leaf epidermal cell wall and cuticle thickness, stomatal length and density of thorns and stems, and stem vessel diameter, pit area and pit density. The data are expressed in the form of plot statistical means, errors and significant groupings, and can be used to analyze the response of desert deep-rooted plant population characteristics, resource allocation, water security and nutrient utilization strategies to regional environmental differences.\r\n<p>&emsp;&emsp;This dataset is stored in Excel format and includes 12 worksheets and 175 sample plot level statistical records.\r\n<p>&emsp;&emsp;The \"Main Population Quantitative Characteristics of Camel Spina\" worksheet includes population coverage, average height and cluster number of 15 sample plots from S1 to S15.\r\n<p>&emsp;&emsp;The \"Camel Spine Biomass\" and \"Camel Spine Biomass Allocation Proportion\" worksheets respectively recorded the biomass of Camel Spine leaves, thorns, stems and roots, as well as the leaf quality ratio, thorn quality ratio, stem-quality ratio, root-quality ratio and root-shoot ratio in 15 sample plots.\r\n<p>&emsp;&emsp;The ecological stoichiometry characteristics of leaves, thorns, stems and roots are stored in four worksheets, including the carbon, nitrogen and phosphorus contents of each organ, as well as the carbon-nitrogen ratio, carbon-phosphorus ratio, and nitrogen-phosphorus ratio on the basis of quality.\r\n<p>&emsp;&emsp;The \"Main Leaf Economic Characteristics of Camel Spina\" worksheet includes specific leaf weight, leaf thickness, leaf tissue density, nitrogen concentration per unit mass and nitrogen concentration per unit area of 14 sample plots S1-S14.\r\n<p>&emsp;&emsp;The \"Main Leaf Hydraulic Characteristics of Camel Spina\" worksheet includes vein density, maximum stomatal conductance, stomatal length and stomatal density of upper and lower leaves.\r\n<p>&emsp;&emsp;The remaining worksheets record the thickness of upper and lower epidermal cell walls and cuticle layers of leaves, the stomatal length and stomatal density of thorns and stem epidermis, as well as the diameter of stem vessel, pit area and pit density. Each indicator is expressed by plot mean, error and significance grouping letters.",
            "ds_time_res": "",
            "ds_acq_place": "Turpan Basin, northern edge of Tarim Basin, southern edge of Tarim Basin, western Hexi Corridor",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;&emsp;Data compilation is carried out based on 15 sampling locations and uniformly numbered S1-S15, where S represents the sampling point (Site) and the numbers represent different sequential numbers. The 3 plots and 3 sampled plants in each sample site were recorded accordingly according to the actual investigation order. Unify variable names, abbreviations, units and data formats; check duplicate records, missing values and abnormal data, return suspected abnormal values to the original records for review, and no artificial modification or interpolation of 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": [
        "生物量",
        "豆科植物",
        "植物化学计量",
        "植物性状",
        "叶片性状"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "新疆",
        "策勒",
        "吐鲁番",
        "阜康"
    ],
    "ds_time_tags": [
        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"
}