玉米马铃薯秸秆混合腐解的非加性效应
Non-additive effect of mixed decomposition of maize and potato straw
陈林康 1赵平 2王顶 1向蕊 2龙光强2
作者信息
- 1. 云南农业大学资源与环境学院, 昆明 650201;云南农业大学农业农村部云南耕地保育科学观测实验站, 昆明 650201
- 2. 云南农业大学资源与环境学院, 昆明 650201
- 折叠
摘要
有机残体混合分解对陆地生态系统物质循环至关重要,但关于农田生态系统中混合秸秆分解过程的研究仍较缺乏.该研究在玉米(Zea mays)单作、马铃薯(Solanum tuberosum)单作和玉米马铃薯间作小区实验中,设置了为期6个月的玉米秸秆、马铃薯秸秆和玉米马铃薯混合秸秆分解袋填埋实验,通过Biolog-Eco微平板法分析秸秆类型和分解环境对秸秆微生物碳代谢活性的影响.结果表明,马铃薯秸秆和玉米秸秆混合对分解过程产生了协同效应,混合秸秆的分解率和微生物代谢活性高于单一秸秆,增加了微生物对碳水化合物和羧酸类底物的利用.这种协同效应随时间延长而削弱.随机森林模型和结构方程模型分析表明,土壤中溶解性有机碳、硝态氮、铵态氮含量以及秸秆碳氮比是驱动秸秆分解的重要因素.总之,秸秆混合促进秸秆分解.
Abstract
Aims The mixed decomposition of organic residues is crucial to the material cycle in terrestrial ecosystems.This study focuses on the decomposition process of mixed straw in farmland ecosystems.Methods In this study,a 6-month litter bag experiment on the decomposition of maize(Zea mays)straw,potato(Solanum tuberosum)straw and maize-potato mixed straw was set up in maize monoculture,potato monoculture and maize-potato intercropping plots respectively.Biolog-Eco microplate method was applied to evaluate the microbial carbon metabolic activity as influenced by straw type and decomposition environment.Important findings The results showed that the mixture of potato straw and maize straw resulted in a synergistic effect on the decomposition process.The decomposition rate and microbial metabolic activity of mixed straw were higher than those of single straw type,which facilitated the utilization of carbohydrate and carboxylic acid substrates by microorganisms.Such synergistic effect is weakened over time.Random Forest and structural equation modeling showed that soil dissolved organic carbon,nitrate nitrogen,ammonium nitrogen contents and straw carbon to nitrogen ratio were key factors driving straw decomposition.In general,straw decomposition is promoted by straw mixing.
关键词
混合秸秆/间作/微生物代谢活性/有机物腐解/非加性效应Key words
mixed straw/intercropping/microbial metabolic activity/decomposition of organic material/non-additive effect引用本文复制引用
基金项目
国家自然科学基金(41967004)
云南省高层次人才培养支持计划(A3012021073)
出版年
2023
NETL
NSTL
万方数据