Optimizing rice-crayfish systems with direct seeding: Impacts on greenhouse gas emissions and economic performance

IF 8.4 1区 农林科学 Q1 SOIL SCIENCE
Soil & Tillage Research Pub Date : 2026-05-01 Epub Date: 2025-12-06 DOI:10.1016/j.still.2025.107004
Yilin Liu , Shaopeng Wang , Yinghua Yin , Limei Zhai , FuLin Zhang , Ying Xia , Xianpeng Fan , M. Haïssam Jijakli , Hongbin Liu
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引用次数: 0

Abstract

The rapid expansion of rice-crayfish (RC) systems has raised concerns about increased methane (CH4) emissions due to prolonged field flooding, especially in long-term practices. While direct seeding (DS) is widely used to reduce CH4 in rice cultivation, its efficacy and economic viability in RC systems remain unclear. This study aimed to compare DS versus transplanting (TP) in RC systems cultivated for 5 (RC5) and 15 (RC15) years. Results showed that under TP, CH4 emissions were 22.0 % higher in RC15 than in RC5. Implementing DS reduced CH4 emissions by 49.9 % in RC5 and 30.1 % in RC15—mainly during the initial drainage stage—reducing the global warming potential (GWP) by 44.5 % and 27.3 %, despite increased nitrous oxide emissions. Mechanistically, DS suppressed methanogenesis by increasing soil redox potential, as indicated by a 14.1–50.9 % reduction in mcrA gene abundance, while increasing the abundance of ammonia-oxidizing bacteria genes. The reduced effectiveness in RC15 reflected altered emission drivers, as significant CH4-WFPS correlations observed in RC5 (R2 = 0.96) were absent in RC15 (R2 = 0.09), limiting water management benefits. Although DS reduced rice yields in RC5 (12.1–10.0 t ha−1), yields remained stable in RC15 (11.8 vs 12.3 t ha−1). Economically, DS improved net ecosystem economic benefits by 3.5 % in RC5 and 12.8 % in RC15 systems, driven by lower crop establishment costs and reduced GWP-associated environmental costs. This study demonstrates that DS is a viable strategy for balancing environmental sustainability with economic profitability in RC systems, though optimal management is modulated by system age.
优化水稻-小龙虾直接播种系统:对温室气体排放和经济效益的影响
水稻-小龙虾(RC)系统的迅速扩张引起了人们对长期农田淹水(特别是长期做法)导致甲烷(CH4)排放增加的担忧。虽然直接播种(DS)在水稻栽培中被广泛用于减少CH4,但其在RC系统中的效果和经济可行性尚不清楚。本研究旨在比较在RC系统中培养5年(RC5)和15年(RC15)的DS和移栽(TP)。结果表明,在TP条件下,RC15的CH4排放量比RC5高22.0% %。实施DS后,RC5的CH4排放量减少了49.9% %,rc15的CH4排放量减少了30.1% %,主要是在排水初期阶段,尽管氧化亚氮排放量增加,但全球变暖潜能值(GWP)减少了44.5% %和27.3% %。从机制上看,DS通过增加土壤氧化还原电位抑制甲烷生成,mcrA基因丰度降低14.1 - 50.9% %,同时增加氨氧化细菌基因的丰度。RC15的有效性降低反映了排放驱动因素的改变,因为在RC5中观察到的显著的CH4-WFPS相关性(R2 = 0.96)在RC15中不存在(R2 = 0.09),限制了水管理效益。虽然DS降低了RC5的产量(12.1-10.0 t ha−1),但RC15的产量保持稳定(11.8 vs 12.3 t ha−1)。在经济上,由于降低了作物种植成本和降低了与全球升温潜值相关的环境成本,在RC5和RC15系统中,DS使净生态系统经济效益分别提高了3.5 %和12.8 %。该研究表明,尽管最优管理受系统年龄的调节,但在RC系统中,DS是平衡环境可持续性和经济盈利能力的可行策略。
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来源期刊
Soil & Tillage Research
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.
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