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马尾松人工林林窗内凋落叶微生物生物量碳和氮的动态变化
引用本文:张明锦,陈良华,张健,杨万勤,刘华,李勋,张艳. 马尾松人工林林窗内凋落叶微生物生物量碳和氮的动态变化[J]. 生态学杂志, 2016, 27(3): 672-680. DOI: 10.13287/j.1001-9332.201603.037
作者姓名:张明锦  陈良华  张健  杨万勤  刘华  李勋  张艳
作者单位:1.四川农业大学生态林业研究所长江上游林业生态工程重点实验室, 成都 611130;;2.高山森林生态系统定位研究站/华西雨屏区生态环境监测站, 成都 611130;;3.长江上游生态安全协同创新中心, 成都 611130
基金项目:本文由国家自然科学基金项目(31370628)、国家科技支撑计划项目(2011BAC09B05)、四川省科技支撑计划项目(12ZC0017)、四川省科技厅应用基础项目(2012JY0047)和四川省教育厅科技创新团队计划项目(11TD006)资助
摘    要:目前,人工林普遍存在土壤退化、生物多样性降低等生态问题.人工抚育间伐,营造混交林是人们经营和管理人工林的主要方式之一.为了了解这种经营方式对人工林生态系统中养分循环的影响,本文研究了位于长江上游低山丘陵区的42年生马尾松人工林7种林窗(G1: 100 m2、G2: 225 m2、G3: 400 m2、G4: 625 m2、G5: 900 m2、G6: 1225 m2、G7: 1600 m2)中马尾松和红椿凋落叶分解过程中微生物生物量碳和氮的动态变化.结果表明: 中小型林窗(G1~G5)有利于凋落叶分解过程中微生物生物量碳(MBC)和生物量氮(MBN)的增加.马尾松凋落叶中的MBC和MBN以及红椿凋落叶中的MBN,在分解期(360 d)内呈现出先增加后降低的变化,在180 d时三者达到最大值,其最高含量分别达到9.87、0.22和0.80 g·kg-1.而红椿凋落叶中的MBC在分解90 d时即达到最大值44.40 g·kg-1.红椿凋落叶中的MBC和MBN显著高于马尾松凋落叶.凋落叶中的微生物生物量碳和氮与日均温和凋落物的含水率显著相关,与凋落物的特性也密切相关.这说明对人工林进行抚育间伐时可将林窗控制在100~900 m2的范围内,有利于凋落叶分解过程中微生物生物量碳和氮的增加,加快凋落叶的分解,提高人工林林地的土壤肥力.

关 键 词:马尾松人工林  林窗  凋落物分解  微生物生物量
收稿时间:2015-07-02

Dynamics of microbial biomass carbon and nitrogen during foliar litter decomposition under artificial forest gap in Pinus massoniana plantation
ZHANG Ming-jin,CHEN Liang-hua,ZHANG Jian,YANG Wan-qin,LIU Hua,LI Xun,ZHANG Yan. Dynamics of microbial biomass carbon and nitrogen during foliar litter decomposition under artificial forest gap in Pinus massoniana plantation[J]. Chinese Journal of Ecology, 2016, 27(3): 672-680. DOI: 10.13287/j.1001-9332.201603.037
Authors:ZHANG Ming-jin  CHEN Liang-hua  ZHANG Jian  YANG Wan-qin  LIU Hua  LI Xun  ZHANG Yan
Affiliation:1.Sichuan Province Key laboratory of Ecological Forestry Engineering, Institute of Ecology & Fores-try, Sichuan Agricultural University, Chengdu 611130, China;
;2.Long-term Research Station of Alpine Forest Ecosystems and Monitoring Station for Eco-environments in the Rainy Zone of Southwest China, Chengdu 611130, China;
;3.Collaborative Innovation Center of Ecological Security in the Upper Reaches of Yangtze River, Chengdu 611130, China
Abstract:Nowadays large areas of plantations have caused serious ecological problems such as soil degradation and biodiversity decline. Artificial tending thinning and construction of mixed forest are frequently used ways when we manage plantations. To understand the effect of this operation mode on nutrient cycle of plantation ecosystem, we detected the dynamics of microbial bio-mass carbon and nitrogen during foliar litter decomposition of Pinus massoniana and Toona ciliate in seven types of gap in different sizes (G1: 100 m2, G2: 225 m2, G3: 400 m2, G4: 625 m2, G5: 900 m2, G6: 1225 m2, G7: 1600 m2) of 42-year-old P. massoniana plantations in a hilly area of the upper Yang-tze River. The results showed that small and medium-sized forest gaps(G1-G5) were more advantageous for the increment of microbial biomass carbon and nitrogen in the process of foliar litter decomposition. Along with the foliar litter decomposition during the experiment (360 d), microbial biomass carbon (MBC), microbial biomass nitrogen (MBN) in P. massoniana foliar litter and MBN in T. ciliata foliar litter first increased and then decreased, and respectively reached the maxima 9.87, 0.22 and 0.80 g·kg-1 on the 180th d. But the peak (44.40 g·kg-1) of MBC in T. ciliata foliar litter appeared on the 90th d. Microbial biomass carbon and nitrogen in T. ciliate was significantly higher than that of P. massoniana during foliar litter decomposition. Microbial biomass carbon and nitrogen in foliar litter was not only significantly associated with average daily temperature and the water content of foliar litter, but also closely related to the change of the quality of litter. Therefore, in the thinning, forest gap size could be controlled in the range of from 100 to 900 m2 to facilitate the increase of microbial biomass carbon and nitrogen in the process of foliar litter decomposition, accelerate the decomposition of foliar litter and improve soil fertility of plantations.
Keywords:Pinusmassoniana plantation  forest gap  litter decomposition  microbial biomass
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