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不同碳输入对天山雪岭云杉林土壤化学计量特征的影响
摘要点击 2229  全文点击 2394  投稿时间:2022-04-06  修订日期:2022-07-28
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中文关键词  雪岭云杉  土壤化学计量  碳输入  植物残体的添加和去除试验(DIRT)  土壤理化因子
英文关键词  Schrenk spruce (Picea schrenkiana) forest  soil ecological stoichiometry  carbon input  detritus input and removal treatment (DIRT)  soil physicochemical factors
作者单位E-mail
马鑫钰 新疆大学生态与环境学院, 乌鲁木齐 830017
绿洲生态教育部重点实验室, 乌鲁木齐 830017 
maxinyu_seven@126.com 
贡璐 新疆大学生态与环境学院, 乌鲁木齐 830017
绿洲生态教育部重点实验室, 乌鲁木齐 830017 
gonglu721@163.com 
朱海强 新疆大学生态与环境学院, 乌鲁木齐 830017
绿洲生态教育部重点实验室, 乌鲁木齐 830017 
 
张甜 新疆大学生态与环境学院, 乌鲁木齐 830017
绿洲生态教育部重点实验室, 乌鲁木齐 830017 
 
殷珂洁 新疆大学生态与环境学院, 乌鲁木齐 830017
绿洲生态教育部重点实验室, 乌鲁木齐 830017 
 
陆星宇 新疆大学生态与环境学院, 乌鲁木齐 830017
绿洲生态教育部重点实验室, 乌鲁木齐 830017 
 
中文摘要
      土壤C、N、P元素是构成森林生态系统的重要组分,通过研究外源碳输入改变对森林土壤化学计量特征的影响,有助于揭示森林生态系统的元素循环过程及平衡反馈机制.以天山雪岭云杉林作为研究对象,通过基于2 a的植物残体的添加和去除试验(DIRT),分析外源碳输入改变对土壤C、N、P化学计量特征短期影响,讨论不同处理下土壤化学计量特征与其他土壤理化因子的相互关系.结果表明:①土壤C、N、P含量在大部分土层均表现为双倍凋落物(DL)处理最高,按土层深度由浅到深依次为,土壤ω(C):168.92、119.88、103.33和64.23g ·kg-1;土壤ω(N):10.60、9.32、8.78和8.07g ·kg-1;土壤ω(P):0.50、0.45、0.37和0.36g ·kg-1;切根去凋落物(NI)处理最低,按土层深度由浅到深依次为土壤ω(C):104.56、89.24、48.08和43.96g ·kg-1;土壤ω(N):6.83、2.60、2.63和2.22g ·kg-1;土壤ω(P):0.40、0.34、0.32和0.22g ·kg-1;且随土层加深呈减小趋势.除NI处理外其余处理土壤C :N均在0~10 cm土层最高,且显著高于其他土层(P<0.05),NL处理土壤C :P在30~50 cm土层显著高于其他处理,NI处理土壤N :P在0~10 cm最高,且显著高于其他土层(P<0.05).②微生物量碳、氮、磷在不同碳输入处理下0~10 cm土层显著高于其他土层(P<0.05).③冗余分析结果显示不同碳输入水平下可溶性有机碳和微生物量氮是影响土壤C、N、P化学计量特征的重要因子.
英文摘要
      Soil C, N, and P elements are important components of the forest ecosystem. Studying the influence of exogenous carbon input change on the stoichiometry of the forest soil can reveal the element recycling process and the balanced feedback mechanism of the forest ecosystem. In this study, using the research object of a spruce forest in Tianshan Mountain, the short-term effect of exogenous carbon input on soil C, N, and P in the soil was analyzed through Detritus Input and Removal Treatment (DIRT), and then the interrelationship between soil stoichiometry and other soil physicochemical factors under different treatments was discussed. The results showed that:① the soil C, N, and P contents in most soil layers were the highest double litter (DL) treatment, soil ω(C) by soil depth from shallow to deep was 168.92, 119.88, 103.33, and 64.23 g·kg-1; soil ω(N) was 10.60, 9.32, 8.78, and 8.07 g·kg-1; soil ω(P) was 0.50, 0.45, 0.37, and 0.36 g·kg-1; in the no input (NI) treatment, soil ω(C) by soil depth from shallow to deep was 104.56, 89.24, 48.08, and 43.96 g·kg-1; soil ω(N) was 6.83, 2.60, 2.63, and 2.22 g·kg-1; soil ω(P) was 0.40, 0.34, 0.32, and 0.22 g·kg-1; and a decreased trend was shown with the deepening of the soil layer. Except in the NI treatment, C:N was 0-10 cm and significantly higher than that in other soils (P<0.05), NL soil C:P at 30-50 cm was significantly higher than that in other soils, and NI soil N:P was 0-10 cm and significantly higher than that in other soils (P<0.05). ② Microbial carbon, nitrogen, and phosphorus were significantly higher from 0-10 cm than that in other soil layers (P<0.05). ③ Redundancy analysis results showed that soluble organic carbon and microbial nitrogen at different carbon input levels were important factors affecting the stoichiometric characteristics of soil C, N, and P.

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