Integrating straw return and tillage practices to enhance soil organic carbon sequestration in wheat–maize rotation systems in the North China Plain

IF 6.4 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agriculture, Ecosystems & Environment Pub Date : 2025-06-01 Epub Date: 2025-02-19 DOI:10.1016/j.agee.2025.109555
Hua Han , Daijia Fan , Shuxia Liu , Rong Jiang , Daping Song , Guoyuan Zou , Ping He , Minyu Wang , Wentian He
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Abstract

Straw return is a crucial strategy for enhancing soil organic carbon (SOC) sequestration in winter wheat–summer maize rotation systems in the North China Plain. However, the effects of straw return combined with different tillage practices on SOC sequestration under different environmental and management conditions across the soil profile remain unclear. A meta-analysis was conducted based on 2525 pairs of observations to investigate the effects of straw return combined with no tillage (NT), reduced tillage (RT), and conventional tillage (CT) on SOC content in wheat–maize rotation systems in the North China Plain. The results indicated that, compared with straw removal, straw return with NT and RT significantly increased the SOC content in the 0–40 cm layer, which was attributed to reduced soil disturbance and promoted SOC surface accumulation. The largest increase was observed in the 0–20 cm layer under NT (12.7 %) and in the 20–40 cm layer under RT (12.7 %). CT showed the greatest increase in SOC content below 40 cm (10.0 %), and RT did not affect SOC below the 40 cm layer relative to CT because deep tillage increased inputs of straw C and transferred topsoil with higher SOC to the subsoil layer. Mean annual precipitation, initial SOC content, and straw quantity were the major drivers regulating the response of SOC sequestration to straw return. Specifically, regions with mean annual temperatures above 15℃ and precipitation over 700 mm had a greater increase in SOC under straw return. Straw return under NT and RT led to the largest increase in SOC content when initial SOC was between 5 and 10 g kg−1 or with a straw return duration of 16–20 years. Straw return under CT showed the greatest increase when initial SOC exceeded 10 g kg−1 or with a straw return duration of 6–10 years. SOC content reached the highest level under RT and CT with a straw quantity of 10–15 t ha−1 and under NT with a straw quantity of less than 10 t ha−1. Structural equation modeling showed that climatic conditions were positively correlated with the response of SOC to straw return and that soil properties and management practices exhibited a negative correlation. The effects of straw return combined with different tillage practices on the C footprint of agricultural systems should be explored in further research.
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秸秆还田与耕作相结合提高华北平原小麦-玉米轮作系统土壤有机碳固存
秸秆还田是华北平原冬小麦-夏玉米轮作系统中提高土壤有机碳固存的重要策略。然而,秸秆还田与不同耕作方式在不同环境和管理条件下对土壤有机碳固存的影响尚不清楚。利用2525对观测资料,对华北平原小麦-玉米轮作体系中秸秆还田与免耕(NT)、免耕(RT)和常规耕作(CT)对有机碳含量的影响进行了meta分析。结果表明,与秸秆还田相比,秸秆还田与NT和RT显著提高了0 ~ 40 cm土层有机碳含量,这主要是由于减少了土壤扰动,促进了表层有机碳积累。NT下0 ~ 20 cm层增加最多(12.7 %),RT下20 ~ 40 cm层增加最多(12.7 %)。垄作对40 cm以下土壤有机碳含量增幅最大(10.0 %),相对于垄作,垄作对40 cm以下土壤有机碳没有影响,这是由于深耕增加了秸秆碳的投入,将土壤有机碳含量较高的表层土壤转移到下层土壤。年平均降水量、土壤有机碳初始含量和秸秆数量是土壤有机碳固存对秸秆还田响应的主要驱动因子。其中,年平均气温在15℃以上、降水量在700 mm以上的地区,秸秆还田处理下土壤有机碳增加幅度较大。当土壤有机碳含量在5 ~ 10 g kg−1之间或秸秆还田时间为16 ~ 20年时,氮肥和还田条件下秸秆还田导致土壤有机碳含量增幅最大。当初始有机碳含量超过10 g kg−1或秸秆还田时间为6 ~ 10年时,秸秆还田量在CT处理下的增幅最大。土壤有机碳含量在秸秆量为10 ~ 15 t ha−1时,在秸秆量为10 t ha−1时,在秸秆量小于10 t ha−1时,在旱作和旱作处理下达到最高水平。结构方程模型表明,气候条件与土壤有机碳对秸秆还田的响应呈正相关,土壤性质与管理方式呈负相关。秸秆还田与不同耕作方式对农业系统碳足迹的影响有待进一步研究。
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来源期刊
Agriculture, Ecosystems & Environment
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.
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