马尾松次生林土壤理化性质和胞外酶活性的林窗响应及其土层分异规律OA
Soil Physicochemical Properties and Extracellular Enzyme Activities in Secondary Pinus massoniana Forest in Response to Forest Gaps and Their Soil Layer Differentiation Characteristics
[目的]探究林窗大小和土层深度对马尾松次生林土壤理化性质、胞外酶活性及微生物代谢策略的交互影响,阐明林窗扰动下马尾松次生林土壤养分循环的土层分异规律,明确驱动土壤胞外酶活性及微生物代谢策略变化的关键环境因子.[方法]以湖南省慈利县天心阁林场退化马尾松次生林为研究对象,2018年 12月,采用随机区组设计,按照无林窗对照(CK)、小林窗(S,68~75 m2)、中林窗(M,180~190 m2)和大林窗(L,445~480 m2)4种梯度设置 4个区组.2024年 5月,在各处理样地随机设置 5个 2 m×2 m样方,按 0~2、2~5、5~10和 10~20 cm土层分别采集枯落物和土壤样品,测定枯落物指标、土壤理化性质以及土壤胞外酶 β-1,4-葡萄糖苷酶(BG)、纤维二糖水解酶(CBH)、乙酰葡糖胺糖苷酶(NAG)、酸性磷酸酶(ACP)活性.结合酶化学计量学与向量分析(向量长度,VL;向量角度,VA),利用双因素方差分析,评估林窗大小和土层深度对马尾松次生林土壤理化性质、胞外酶活性及微生物代谢策略的交互效应;通过冗余分析(RDA)和偏最小二乘法结构方程模型(PLS-SEM),识别土壤酶活性及其计量比变化的关键环境驱动因子.[结果]1)与对照相比,中林窗可显著提高土壤 pH值、含水量和无机氮含量;林窗大小和土层深度对土壤有机碳含量、全氮含量和矿物结合态有机碳含量的影响存在显著交互效应,且该交互效应随土层加深而减弱.2)土壤酶活性的林窗响应呈现随土层加深而减弱的特征.林窗效应主要集中于 0~10 cm土层,中林窗可显著提升 CBH和 ACP活性,但中林窗的促进作用在 10~20 cm土层显著减弱.3)研究区土壤微生物代谢普遍受磷限制(VA>45°),大林窗显著加剧微生物碳资源限制,表现为酶化学计量碳氮比(EC∶N)和向量长度(VL)显著升高,且磷限制程度随土层加深而增强.4)土壤含水量是驱动酶活性空间变异的主导因子,土壤碳氮比是调控酶化学计量特征和微生物资源分配策略的关键因素.5)结构方程模型显示,林窗大小和土层深度通过调控枯落物输入和土壤养分的垂直分布,导致土壤酶活性及其计量特征改变,进而影响微生物的碳、磷限制程度.[结论]林窗可显著改善马尾松次生林 0~10 cm土层土壤微环境,进而影响土壤胞外酶活性及微生物代谢策略,其影响随土层加深逐渐减弱;中林窗是改善马尾松次生林土壤水分、氮素供应和促进土壤胞外酶活性的最优尺度,大林窗会加剧微生物资源胁迫;研究区土壤微生物普遍受磷限制,且土层深度越深土壤磷限制越强;土壤水分和土壤碳氮比是影响胞外酶活性及微生物代谢策略变化的关键环境因子.在森林经营与生态修复中,合理调控林窗大小可缓解微生物养分胁迫,有效提升退化马尾松林地下生态系统功能.
[Objective]This study aims to explore the interactive effects of forest gap size and soil depth on soil physicochemical properties,soil extracellular enzyme activities and microbial metabolic processes,clarify the soil layer differentiation mechanism of soil nutrient cycling in secondary Pinus massoniana forests under forest gap disturbance,and identify the key environmental factors underlying changes in the activity of soil extracellular enzymes as well as microbial metabolic strategies.[Method]The degraded P.massoniana forest at Tianxinge Forest Farm,Cili County,Hunan Province was targeted,and four forest gap treatments,including an uncut control(CK),small gap(S,68-75 m2),medium gap(M,180-190 m2),and large gap(L,445-480 m2),were established in a randomized block design in December 2018.In May 2024,five 2 m×2 m quadrats were randomly set up in each treatment plot,and soil samples were collected from litter and four mineral soil layers(0-2,2-5,5-10,and 10-20 cm).Litter indices,soil physicochemical properties,and the activities of four soil extracellular enzymes of β-1,4-glucosidase(BG),cellobiohydrolase(CBH),N-acetyl-β-D-glucosaminidase(NAG),and acid phosphatase(ACP)were measured.Enzyme stoichiometry was used for vector analysis(vector length,VL;vector angle,VA).Two-way ANOVA was used to examine the interactive effects of forest gap size and soil depth on soil physicochemical properties,soil extracellular enzyme activities and microbial metabolic processes.Redundancy analysis(RDA)and partial least squares structural equation modeling(PLS-SEM)were applied to identify key environmental drivers of enzyme activity and stoichiometric variation.[Result]1)Compared to the control,the medium gap(M)significantly increased soil pH,water content,and inorganic nitrogen concentrations.There was significant interaction between gap size and soil depth on soil organic carbon content total nitrogen content and mineral-associated organic matter carbon content.The interaction decreased with increasing soil depth.2)The responses of soil enzyme activities to forest gaps declined with increasing soil depth.The forest gap effects were predominantly concentrated in the 0-10 cm layer,where the medium gap significantly enhanced CBH and ACP activities.The stimulatory effect of gaps on enzyme activity became negligible in the 10-20 cm layer.3)Soil microbial metabolism in the study area was generally constrained by phosphorus(P)(VA>45°).The large gap(L)significantly exacerbated the carbon resource limitation of microorganisms,manifested as a significant increase in the enzyme stoichiometric C∶N ratio(EC∶N)and vector length(VL).Moreover,P limitation became more severe with increasing soil depth.4)Soil water content was the primary factor driving the spatial variation of enzyme activities,while the soil C∶N ratio was the key factor controlling enzyme stoichiometry and microbial resource allocation strategies.5)Structural equation modeling revealed that forest gap size and soil depth indirectly modulated soil enzyme activities and stoichiometry by altering the litter properties and vertical nutrient distribution,which in turn affected the intensity of microbial carbon and phosphorus limitation.[Conclusion]Forest gaps significantly improve the soil microenvironment in 0-10 cm layer in secondary P.massoniana forests,thereby affecting extracellular enzyme activity and microbial metabolic strategies.The effects gradually decline with increasing depth.A medium-sized forest gap is most effective in improving soil water content and nitrogen availability,while large gaps exacerbate microbial resource limitation.Soil microbial metabolism in the study area is consistently limited by phosphorus,with stronger limitation in deeper soil layers.Soil water content and soil C∶N ratio are important environmental factors that influence extracellular enzyme activity and changes in microbial metabolic strategies.These findings highlight that optimized gap-size manipulation in forest management and restoration can effectively alleviate microbial nutrient limitation and promote belowground ecosystem function in degraded P.massoniana forests.
文炳南;党龙;杨琪铉;邓柏林;王永健;张伟东;姜春前;白彦锋
中国林业科学研究院林业研究所 北京 100091||华中农业大学园艺林学学院 武汉 430070||中国科学院会同森林生态实验站 中国科学院沈阳应用生态研究所 沈阳 110016中国林业科学研究院林业研究所 北京 100091||华中农业大学园艺林学学院 武汉 430070||中国科学院会同森林生态实验站 中国科学院沈阳应用生态研究所 沈阳 110016华中农业大学园艺林学学院 武汉 430070华中农业大学园艺林学学院 武汉 430070华中农业大学园艺林学学院 武汉 430070中国科学院会同森林生态实验站 中国科学院沈阳应用生态研究所 沈阳 110016中国林业科学研究院林业研究所 北京 100091中国林业科学研究院林业研究所 北京 100091
农业科技
林窗扰动土层深度胞外酶活性土壤微生物代谢策略酶化学计量学马尾松次生林
forest gap disturbancesoil depthextracellular enzyme activitysoil microbial metabolic strategyenzymatic stoichiometryPinus massoniana secondary forest
《林业科学》 2026 (8)
71-85,15
国家重点研发计划课题(2022YFF1303003).
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