55年不同土壤管理对土壤物理性质和土壤有机质稳定性的影响

IF 6.4 1区农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY

Agriculture, Ecosystems & Environment Pub Date : 2025-09-27 DOI:10.1016/j.agee.2025.110005

Edyta Hewelke, Jerzy Weber, Lilla Mielnik, Riccardo Spaccini, Dariusz Gozdowski, Marek Podlasiński, Irmina Ćwieląg-Piasecka, Elżbieta Jamróz, Maria Jerzykiewicz, Aneta Perzanowska, Vaclovas Bogužas, Lina Skinulienė, Magdalena Dębicka

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引用次数: 0

摘要

本研究旨在揭示农业生态系统管理对土壤物理性质和土壤有机质稳定性的影响。在立陶宛考纳斯进行了一项长达55年的长期田间试验，全面评估了黑麦和玉米单一栽培对0-20 cm土层土壤性质的影响，包括施用和不施用矿物肥料、密集的6年轮作和裸休耕。利用元素分析、紫外可见光谱、荧光光谱和13C-CPMAS NMR检测了土壤物理参数（土壤保水性、拒水性和团聚稳定性）和土壤有机质特征(包括总有机碳含量（TOC）、组分（黄腐酸、腐殖酸、腐殖酸）和腐殖酸的分子性质。

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Effect of 55 years of different soil management on soil physical properties and stability of soil organic matter

The aim of the study was to reveal the effect of agroecosystems management on soil physical properties and stability of soil organic matter (SOM). A 55-year-long-term field experiment in Kaunas, Lithuania, allowed for a comprehensive assessment of the effects of rye and maize monocultures, with and without mineral fertilisation, intensive six-year crop rotation and bare fallow on soil properties in the 0–20 cm layer. Soil physical parameters (soil water retention, water repellency, and aggregate stability) and SOM characteristics, including total organic carbon content (TOC), fractional composition (fulvic acids, humic acids, humin), and molecular properties of humin were examined using elemental analysis, UV-Vis, fluorescence spectroscopy, and 13C-CPMAS NMR.

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来源期刊

Agriculture, Ecosystems & Environment 环境科学-环境科学

CiteScore

11.70

自引率

9.10%

发文量

392

审稿时长

26 days

期刊介绍： Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.