不同树龄的细叶奥摩斯种植园在土壤微生物生物量和酶活性方面的特征

IF 3.4 2区 农林科学 Q1 FORESTRY
Xiaolong Zhao, Peilin Xie, Xueqian Zhang, Zeyu Ou, Haoxuan Ma, Chun Suo, Jingqi Ma, Pan Wan
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引用次数: 0

摘要

树龄是树木生长和生命周期的一个重要指标,对生态和生物过程具有影响。本研究考察了不同树龄人工林的土壤微生物生物量(SMB)和酶活性的变化,并揭示了它们与土壤特性的关系。土壤微生物生物量(SMB)、微生物生物量碳(MBC)、微生物生物量氮(MBN)、微生物生物量磷(MBP)和酶活性(β-1,4-葡萄糖苷酶(β-G)、β-1,4-木糖苷酶(β-X)、β-1,4-纤维生物水解酶(CB)、β-1,4-木糖苷酶(β-G)、β-1,4-木糖苷酶(β-X测定了不同树龄的奥罗莫西亚细叶乔木种植园的土壤质量指数(SQI)、纤维生物水解酶(CBH)、亮氨酸氨肽酶(LAP)、β-1,4-正乙酰葡糖胺(NAG)和酸性磷酸酶(ACP)。土壤质量指数(SQI)模型评估了土壤质量。与中年种植园(20 年)相比,幼年种植园(7 年)和成熟种植园(45 年)的 SMB 含量明显下降。20 年树龄种植园的土壤 β-G、β-X、CBH 和 NAG 活性明显高于其他种植园,但 45 年树龄种植园的 β-G、CBH 和 NAG 活性除外。土壤有机碳(SOC)、总钾(TK)、总孔隙度、溶解有机碳、硝酸盐氮(NO3--N)和非毛细孔孔隙度是影响 SMB 的主要因素,而土壤容重、pH 值、SOC、NO3--N、TK 和森林枯落物(FL)是影响土壤酶活性的主要因素。SQI的下降顺序为:中年期;成熟期;青年期。中龄种植园土壤有机质转化效率、微生物矿化固氮效果和磷利用效率较高,改善了土壤物理性状,更有利于树木生长,并进一步提高了土壤对酸碱度的缓冲能力。FL 质量是影响土壤酶活性的唯一土壤生物因素。我们的研究结果表明,不同树龄的人工林会影响土壤微生物生物量、酶活性和土壤质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Characteristics of different aged plantations of Ormosia hosiei with regards to soil microbial biomass and enzymatic activities

Characteristics of different aged plantations of Ormosia hosiei with regards to soil microbial biomass and enzymatic activities

Stand age is an important indicator of tree growth and life cycle, and has implications for ecological and biological processes. This study examined changes in soil microbial biomass (SMB) as well as enzyme activities of different aged plantations and revealed their relationship to soil properties. SMB, microbial biomass carbon (MBC), microbial biomass nitrogen (MBN), microbial biomass phosphorous (MBP) and enzyme activities (β-1,4-glucosidase (β-G), β-1,4-xylosidase (β-X), cellobiohydrolase (CBH), leucine aminopeptidase (LAP), β-1,4-n-acetylglucosamine (NAG) and acid phosphatase (ACP)) were measured in Oromosia hosiei plantations of different ages. The soil quality index (SQI) model assessed soil quality. SMB contents significantly decreased in young (7-year-old) and mature plantations (45-year-old) compared to middle-aged (20-year-old) plantations. Activity of soil β-G, β-X, CBH and NAG in the 20-year-old plantations was markedly higher than in the other plantations except for β-G, CBH and NAG in the 45-year-old plantations. Soil organic carbon (SOC), total potassium (TK), total porosity, dissolved organic carbon, nitrate nitrogen (NO3-N) and non-capillary porosity were key factors affecting SMB, while soil bulk density, pH, SOC, NO3-N, TK and forest litter (FL) were the main factors affecting soil enzyme activities. SQI decreased in the order: middle-aged > mature > young. The efficiency of soil organic matter conversion, the effect of nitrogen mineralization and fixation by microorganisms, and the better efficiency of phosphorus utilization in mid-age plantations, which improves soil physical properties, better facilitates tree growth, and further improves the buffering of the soil against acidity and alkalinity. FL quality was the only soil biological factor affecting soil enzyme activity. Our findings demonstrate that different aged plantations affect soil microbial biomass, enzyme activity, and soil quality.

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来源期刊
CiteScore
7.30
自引率
3.30%
发文量
2538
期刊介绍: The Journal of Forestry Research (JFR), founded in 1990, is a peer-reviewed quarterly journal in English. JFR has rapidly emerged as an international journal published by Northeast Forestry University and Ecological Society of China in collaboration with Springer Verlag. The journal publishes scientific articles related to forestry for a broad range of international scientists, forest managers and practitioners.The scope of the journal covers the following five thematic categories and 20 subjects: Basic Science of Forestry, Forest biometrics, Forest soils, Forest hydrology, Tree physiology, Forest biomass, carbon, and bioenergy, Forest biotechnology and molecular biology, Forest Ecology, Forest ecology, Forest ecological services, Restoration ecology, Forest adaptation to climate change, Wildlife ecology and management, Silviculture and Forest Management, Forest genetics and tree breeding, Silviculture, Forest RS, GIS, and modeling, Forest management, Forest Protection, Forest entomology and pathology, Forest fire, Forest resources conservation, Forest health monitoring and assessment, Wood Science and Technology, Wood Science and Technology.
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