Depth-driven responses of soil organic carbon fractions to orchard cover crops across China: A meta-analysis

IF 6.1 1区农林科学 Q1 SOIL SCIENCE

Soil & Tillage Research Pub Date : 2024-11-04 DOI:10.1016/j.still.2024.106348

Weiting Ding , Liangjie Sun , Yihan Fang , Francis Zvomuya , Xiaotong Liu , Hailong He

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引用次数: 0

Abstract

Cover crops (CC) have been widely recognized and implemented as one of the most effective agronomic practices for enhancing soil organic carbon (SOC) sequestration in orchard ecosystems. However, considerable uncertainty remains regarding the effect of CC on specific SOC fractions, posing challenges for accurate prediction of carbon (C) dynamics, which requires further comprehensive study at regional and national scales. Based on 615 paired-comparisons from 47 studies across China, we investigated the effects of CC management on SOC fractions, including microbial biomass C (MBC), dissolved organic C (DOC), particulate organic C (POC), easily oxidizable organic C (EOC), light fraction organic C (LFOC), and heavy fraction organic C (HFOC). In addition, we quantified the effects of various environmental factors (e.g., climatic conditions), soil properties (e.g., soil characteristics and depth), and agronomic variables (e.g., experiment duration, tree age, cover type, source and species of grass, cover pattern, mowing practices, and residue management) on the changes in SOC fractions. Compared to conventional clean (bare ground) tillage, CC significantly increases MBC (35.4 %), DOC (23.7 %), POC (36.2 %), EOC (18.4 %), LFOC (99.9 %), and HFOC (5.4 %). Random forest modeling demonstrates that soil depth is the dominant driver of SOC fractions responses to CC, and the CC effects are weakened with soil depth. It is therefore crucial to consider the various drivers of SOC fractions between soil depths in order to accurately forecast soil C dynamics and its potential feedback on global warming. Overall, this study systematically assessed the effects of CC on SOC fractions changes in China and identified CC as a promising practice for increasing SOC in orchards. These findings further indicate that the response of SOC fractions to CC is predominantly influenced by specific climatic, edaphic, and agronomic variables. These results not only reveal the ecological benefits of CC, but also highlight the importance of developing site-specific CC practices for the sustainability of agroecosystems.

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中国各地土壤有机碳组分对果园覆盖作物的深度响应：荟萃分析

覆盖作物（CC）作为提高果园生态系统土壤有机碳（SOC）固存的最有效农艺措施之一，已得到广泛认可和实施。然而，CC对特定SOC组分的影响仍存在相当大的不确定性，为准确预测碳（C）的动态变化带来了挑战，这需要在区域和国家尺度上进行进一步的综合研究。基于全国 47 项研究中的 615 项配对比较，我们调查了 CC 管理对 SOC 分馏的影响，包括微生物生物量碳（MBC）、溶解有机碳（DOC）、颗粒有机碳（POC）、易氧化有机碳（EOC）、轻组分有机碳（LFOC）和重组分有机碳（HFOC）。此外，我们还量化了各种环境因素（如气候条件）、土壤特性（如土壤特性和深度）和农艺变量（如实验持续时间、树龄、覆盖类型、草的来源和种类、覆盖模式、除草方法和残留物管理）对 SOC 分数变化的影响。与传统的清洁（裸地）耕作相比，CC 能显著增加 MBC（35.4%）、DOC（23.7%）、POC（36.2%）、EOC（18.4%）、LFOC（99.9%）和 HFOC（5.4%）。随机森林建模表明，土壤深度是 SOC 分量对 CC 响应的主要驱动因素，CC 的影响随土壤深度的增加而减弱。因此，为了准确预测土壤碳动态及其对全球变暖的潜在反馈，考虑不同土壤深度之间 SOC 分量的各种驱动因素至关重要。总之，本研究系统地评估了 CC 对中国 SOC 分量变化的影响，并确定 CC 是增加果园 SOC 的有效方法。这些发现进一步表明，SOC组分对CC的响应主要受特定气候、土壤和农艺变量的影响。这些结果不仅揭示了CC的生态效益，还强调了因地制宜地发展CC实践对农业生态系统可持续性的重要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Soil & Tillage Research 农林科学-土壤科学

CiteScore

13.00

自引率

6.20%

发文量

266

审稿时长

5 months

期刊介绍： Soil & Tillage Research examines the physical, chemical and biological changes in the soil caused by tillage and field traffic. Manuscripts will be considered on aspects of soil science, physics, technology, mechanization and applied engineering for a sustainable balance among productivity, environmental quality and profitability. The following are examples of suitable topics within the scope of the journal of Soil and Tillage Research: The agricultural and biosystems engineering associated with tillage (including no-tillage, reduced-tillage and direct drilling), irrigation and drainage, crops and crop rotations, fertilization, rehabilitation of mine spoils and processes used to modify soils. Soil change effects on establishment and yield of crops, growth of plants and roots, structure and erosion of soil, cycling of carbon and nutrients, greenhouse gas emissions, leaching, runoff and other processes that affect environmental quality. Characterization or modeling of tillage and field traffic responses, soil, climate, or topographic effects, soil deformation processes, tillage tools, traction devices, energy requirements, economics, surface and subsurface water quality effects, tillage effects on weed, pest and disease control, and their interactions.