摘要
城市绿化带土壤质量直接影响绿化植物生长效能与城市生态服务功能,进而制约城市环境可持续发展。为探究德州市绿化植物长势不良的土壤成因,2024年6月,本研究对德州市主城区核心绿化带(天衢路、东风路、岔河东/西大道、长河大道、湖滨大道)开展系统性采样,共采集23个采样点多剖面分层土壤样本(0–20 cm、20–40 cm、40–60 cm、60–80 cm、80–100 cm),样本经室内自然风干后,通过研磨筛分(2 mm粗筛与0.25 mm细筛)制备分析样品。利用酸度计(PB-10)、烘干称重法、重铬酸钾氧化外加热法等标准化方法(参照《土壤农化分析》第三版),系统测定土壤pH值、盐分含量、有机质、碱解氮、速效磷及速效钾6大关键指标,构建了德州市市区绿化带土壤养分实测数据集(2024)。该数据集内容包括:(1)样点的地理位置与地表植被数据;(2)绿化带土壤养分实测数据,包含pH值、盐分、有机质(g/kg)、碱解氮(mg/kg)、速效磷(mg/kg)、速效钾(mg/kg)6项肥力指标的分层测定值;(3)土壤养分数据统计学特征;(4)不同土层、不同道路土壤测定指标的平均隶属度;(5)不同土层、不同道路土壤肥力评价指数;(6)计算过程数据。该数据集存储为.shp和.xlsx格式,由8个数据文件组成,数据量为191 KB(压缩为1个数据文件,160 KB)。
To investigate the soil-related causes of poor vegetation growth in the urban green belts of Dezhou City,a systematic soil sampling survey of the green belts in the urban core area was conducted in June 2024,including Tianqu Road,Dongfeng Road,East and West Chahe Avenue,Changhe Avenue,and Hubin Avenue.A total of 23 multi-profile soil samples were collected at different depths(0−20,20−40,40−60,60−80,and 80−100 cm).The study systematically determined the 6 key soil parameters of pH,salinity,organic matter,available nitrogen,available phosphorus,and available potassium using standardized analytical methods,including a pH meter,the oven-drying gravimetric method,and the externally heated dichromate oxidation method.The dataset includes:(1)the geographical locations and surface vegetation data of the sampling sites;(2)measured soil nutrient data from the greenbelt,including stratified values of 6 fertility indicators:pH,salinity,organic matter,available N,available P,and available K;(3)statistical characteristics of soil nutrient data;(4)mean membership values of different soil indicators across soil layers and roads;(5)soil fertility evaluation index across different layers and roads;(6)data used for calculation.The dataset is archived in.shp and.xlsx formats,and consists of 8 data files with data size of 191 KB(Compressed into one file with 160 KB).
作者
胡红宇
王振波
李彬彬
樊子暄
Hu,H.Y;Wang,Z.B;Li,B.B;Fan,Z.X(Institute of Geographic Sciences and Natural Resources,Chinese Academy of Sciences,Beijing 100101,China)
出处
《全球变化数据学报(中英文)》
2025年第2期229-238,V0229-V0238,共20页
Journal of Global Change Data & Discovery
基金
国家自然科学基金(42130713)。
作者简介
通讯作者:李彬彬,中国科学院地理科学与资源研究所,libinbin@igsnrr.ac.cn;通讯作者:樊子暄,中国科学院地理科学与资源研究所,fanzixuan@igsnrr.ac.cn。
