改良剂施用对风沙土有机碳及作物产量影响的元数据集OA
A dataset of the effects of soil amendment application on soil organic carbon and crop yield in aeolian sandy soil
本数据论文系统整理了关于全球风沙土改良对土壤有机碳(SOC)和作物产量影响的元数据集,旨在量化与评估有机和无机等不同类型改良剂施用对风沙土SOC固存潜力及作物产量的提升效果.本数据集整合了 1987-2023 年间已发表的 151篇文献中 843组独立观测数据.每个试验点位均以SOC含量和作物产量为核心响应变量.同时,为了深入解析改良剂施用对风沙土碳固存与产能提升的驱动机制,数据集也包含关键的解释变量:(1)气候环境因子(年均温度、年均降水量和干旱指数),(2)初始土壤理化性质(质地、容重、孔隙度、pH及全氮含量等),(3)农艺管理措施(作物类型、采样深度、改良剂施用量、试验持续时间及耕作管理等).本数据集质量严格控制,经过多层次检索、标准化提取以及二次交叉校对,并对部分缺失变量依据统一规则进行了补充,包括基于地理坐标的气候数据重建以及基于统计原则的标准差估算.本数据集的高质量与标准化特性,将支撑研究者开展多尺度综合分析,识别影响风沙土SOC固存与产量变化的关键驱动因子,揭示多因子耦合机制,为风沙土可持续农业管理的科学决策提供可靠的数据支撑.
This dataset systematically compiles a global meta-dataset of the effects of soil amendment application on soil organic carbon(SOC)and crop yield in aeolian sandy soils,aiming to quantify and evaluate the effects of different types of amendments,including organic and inorganic materials,on SOC sequestration and crop productivity enhancement in aeolian `sandy soils.The dataset integrates 843 independent observations derived from 151 peer-reviewed publications published between 1987 and 2023.For each observation,SOC content and crop yield were used as the key response variables.To facilitate a deeper understanding of the mechanisms by which soil amendments affect carbon sequestration and productivity in sandy soils,the dataset comprehensively assembles key explanatory variables:(1)climatic factors(mean annual temperature,mean annual precipitation,and aridity index);(2)initial soil physicochemical properties(soil texture,bulk density,porosity,pH,and total nitrogen content,among others);and(3)agronomic management practices(crop type,soil sampling depth,amendment application rate,experimental duration,and tillage management).Strict quality control procedures were implemented throughout dataset construction,including multi-stage literature screening,standardized data extraction,and independent cross-validation.Missing variables were supplemented according to unified criteria,including climate data reconstruction based on geographic coordinates and standard deviation estimation using established statistical approaches.The high quality and standardized structure of this dataset provides a robust foundation for multi-scale synthesis and quantitative assessment,support the identification of key drivers regulating SOC sequestration and crop yield responses in sandy soils.The dataset provides reliable data support evidence-based decision-making in the sustainable management of aeolian sandy soils.
刘天鸿;谭文平;邬磊;袁孟迪;孟磊;徐明岗;张文菊
中国农业科学院农业资源与农业区划研究所,北方干旱半干旱耕地高效利用全国重点实验室,北京 100081||海南大学热带农林学院,海口 570228长江大学农学院,湖北 荆州 434205中国农业科学院农业资源与农业区划研究所,北方干旱半干旱耕地高效利用全国重点实验室,北京 100081中国农业科学院农业资源与农业区划研究所,北方干旱半干旱耕地高效利用全国重点实验室,北京 100081海南大学热带农林学院,海口 570228中国农业科学院农业资源与农业区划研究所,北方干旱半干旱耕地高效利用全国重点实验室,北京 100081中国农业科学院农业资源与农业区划研究所,北方干旱半干旱耕地高效利用全国重点实验室,北京 100081
风沙土土壤改良剂土壤有机碳固存作物生产力干旱与半干旱地区数据集
aeolian sandy soilsoil amendmentsoil organic carbon sequestrationcrop productivityarid and semi-arid areasdataset
《中国科学数据(中英文网络版)》 2026 (2)
84-93,10
新疆维吾尔自治区重大科技专项(2022A02007-1)国家科技基础资源调查专项(2021FY100501)Major Science and Technology Project of Xinjiang Uygur Autonomous Region (2022A02007-1) and National Science & Technology Fundamental Resources Survey Project of China (2021FY100501).
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