In species-rich forests, the integration of vegetative and reproductive traits defines plant ecological strategies and underpins community assembly. How these trait syndromes assemble into functional groups to facilitate species coexistence in ecotones remains unclear. To address this, we measured 17 key functional traits in 121 woody plant species, covering vegetative and reproductive traits, and used hierarchical clustering to classify these species into functional groups (FGs). We found the following: (1) The woody plant community exhibits distinct trait syndromes adapted to the ecotonal environment: evergreen species accounted for 84.3%, microphanerophytes dominated (95.04%), simple leaves and alternate phyllotaxy prevailed, and animal-mediated pollination (91.74%) and seed dispersal (77.69%) were the primary reproductive strategies. (2) The 121 species were classified into 10 optimal FGs based on integrated differences in vegetative traits (e.g., leaf morphology, life form, phyllotaxy) and reproductive traits (e.g., pollination/dispersal mode, inflorescence/fruit type). Most FGs were dominated by evergreen microphanerophytes, reflecting convergent adaptation to the subtropical ecotonal environment, while distinct adaptive strategies differentiated the groups: FG1 (solely Meliosma rigida) was distinguished by whorled phyllotaxy and large leaves, a specialization for high-light microhabitats; FG5, a unique deciduous group, comprised species (e.g., Nyssa sinensis) with alternate leaves and axillary inflorescences, adapting to seasonal resource fluctuations. (3) These FGs reflected adaptive strategies to diverse microhabitats: rare species in FG4 (e.g., Acer cordatum) adopted wind-dependent pollination/dispersal to cope with mountainous wind variability, while FGs 3, 7, 8, 10 relied on animal mutualism to ensure reproductive success, highlighting the role of plant-animal interactions in community structure. Our study clarifies the trait differentiation patterns and FG assembly mechanisms of woody plants in the mid-subtropical-south-subtropical ecotone. The integrated trait-based FG classification could provide insights into how species coexist via niche differentiation and offer a theoretical basis for biodiversity and ecosystem conservation.

The Home-Field Advantage (HFA) suggests that litter decomposes faster in its "home" habitat (home-field) due to local decomposer communities being more adapted to decomposing "home" litter. Elevation-induced micro-environmental variations, may break down the relationship between litter and its associated decomposer communities, reducing decomposition efficiency in home-field environments. In study, we aim to explore whether litter decomposition shows HFA across elevational gradients, the driving factors of litter mass loss in home and away, and what controls the litter HFA along the elevational gradient in subtropical forests. In this study, we conducted a foliar litter decomposition translocation experiment along different elevational gradients (900 m-1600 m) in Daiyun Mountain in southeast China, using a 400 m elevational gradient (with a temperature variation of approximately 1.8 ℃) as the span for litter decomposition. We collected data on environmental factors (e.g., air and soil temperature, soil total C, N, P, and water content), foliar litter quality (e.g., total carbon, nitrogen and phosphorus contents), decomposer communities (soil fungal and bacterial biomass) and plant leaf traits (e.g., leaf total C, N, P, specific leaf area, and leaf dry matter content) at different elevations. Then mixed linear models and structural equation models were used to investigate differences in foliar litter decomposition between home and away fields, as well as the driving factors for HFA. We found that (1) Litter decomposition showed HFA across elevational gradients, with foliar litter in home-field losing more mass than in away-field along these gradients. (2) Environmental factors were the main driving factors influencing home-field litter decomposition, while litter quality was the main factor affecting away-field litter decomposition and HFA. Fungal communities enhanced home litter decomposition but not away-field litter, supporting decomposer control in home-field decomposition. (3) From the structural equation model, environmental factors and litter quality were significant positive drivers of HFA. In addition, litter quality was the main factor influencing home-field decomposition, as the faster decomposition of home-field foliar litter was a direct positive contributor to HFA, while slower decomposition of away-field litter had a direct negative effect. Foliar litter decomposition along the elevational gradients exhibited HFA in Daiyun Mountain of subtropical regions, environmental factors are the main factors affecting home litter mass loss, while litter quality is the main factor affecting away litter mass loss and HFA. Additionally, environmental factors influenced microbial communities, with fungal communities having a significant positive effect on the home litter mass loss but no significant impact on away, supporting the decomposer control hypothesis. Therefore, global climate change may affect litter decomposition by altering environmental conditions, which is crucial for nutrient cycling in ecosystems, particularly in mountainous regions where elevational differences create diverse micro-environments. Understanding the Home-Field Advantage at different elevations could help predict forest responses to global change, especially in areas sensitive to elevational shifts in climate.

The escalation of global nitrogen deposition levels has heightened the inhibitory impact of phosphorus limitation on plant growth in subtropical forests. Plant roots area particularly sensitive tissue to nitrogen and phosphorus elements. Changes in the morphological characteristics of plant roots signify alterations in adaptive strategies. However, our understanding of resource-use strategies of roots in this environment remains limited. In this study, we conducted a 10-month experiment at the Castanopsis kawakamii Nature Reserve to evaluate the response of traits of seedling roots (such as specific root length, average diameter, nitrogen content, and phosphorus content) to nitrogen and phosphorus addition. The aim was to reveal the adaptation strategies of roots in different nitrogen and phosphorus addition concentrations. The results showed that: (1) The single phosphorus and nitrogen–phosphorus interaction addition increased the specific root length, surface area, and root phosphorus content. In addition, single nitrogen addition promotes an increase in the average root diameter. (2) Non-nitrogen phosphorus addition and single nitrogen addition tended to adopt a conservative resource-use strategy to maintain growth under low phosphorus conditions. (3) Under the single phosphorus addition and interactive addition of phosphorus and nitrogen, the roots adopted an acquisitive resource-use strategy to obtain more available phosphorus resources. Accordingly, the adaptation strategy of seedling roots can be regulated by adding appropriate concentrations of nitrogen or phosphorus, thereby promoting the natural regeneration of subtropical forests.

Soil fungal communities play a critical role in the promotion of nutrient cycling and the stabilization of ecosystem functions in subtropical forests. Yet, clarifying the relationships between soil fungal diversity and microclimate variability along an elevational gradient, as well as understanding the driving mechanisms of their variations in subtropical forests, remains insufficiently understood. In this study, we recorded the composition and soil fungal diversity along an elevational gradient in Daiyun Mountain of China, aiming to elucidate the primary factors influencing the structure of the dominant soil fungal along an elevational gradient in subtropical forests. The results showed that (1) the dominant phylum of soil fungi at different elevations were Basidiomycota, Ascomycota (relative abundance > 10%) and Zygomycota (relative abundance > 1%). The Simpson index of soil fungi showed a clear upward trend along the elevational gradient, while no significant difference was observed in the other indices, and both overall reached their maximum value at the elevation of 1200 m. (2) The mean annual soil temperature and moisture, soil pH and available phosphorus were the main factors driving the dominant soil fungal along the elevational gradient. (3) Co–occurrence network analyses revealed a distinct modular structure of dominant soil fungal communities at different elevations, with Ascomycetes identified as the key taxa in fungi network relationships. Our research holds ecological significance in understanding the pivotal role of soil environmental factors in shaping the complex composition and interactions within soil fungal communities.

Evaluating the carbon storage of forests and identifying the factors that influence it are essential in working towards the “dual carbon” goal. This assessment will facilitate research on carbon neutrality and promote regional ecological protection and development. This study utilized the “One Map” data of forest resources (2020) and the first year (2017) of the establishment of the national park in Wuyi Mountain National Park (WMNP). The continuous biomass expansion factor method, in conjunction with the vegetation carbon content coefficient, was employed to estimate the forest carbon storage within the park’s forested areas. Subsequently, the distribution of forest carbon storage was analyzed using remote sensing estimation methods, and a comparison was made between the forest carbon storage of these two years. Finally, correlation analysis and path analysis were conducted to identify the primary factors influencing forest carbon storage. The study findings reveal that in 2020, the total carbon storage in forests reached 4.851 × 106 t C, with an average carbon density of 49.55 t C·hm−2. Furthermore, the study identified positive correlations between dominant tree species, age groups, and elevation with carbon storage, whereas slope length and aspect were found to have negative correlations. Dominant tree species were observed to have the greatest impact on forest carbon storage in both 2017 and 2020, followed by age groups. These findings offer valuable scientific insights for the implementation of forest carbon storage pilot projects in WMNP.

Revealing the assembly mechanisms of the soil microbial community, which is crucial to comprehend microbial biodiversity, is a central focus in ecology. The distribution patterns of microbial elevational diversity have been extensively studied, but their assembly processes and drivers remain unclear. Therefore, it is essential to unravel the relationship between the deterministic and stochastic processes of the microbial community assembly and elevational gradients. Here, our study built upon previous physicochemical analyses of soil samples collected along an elevational gradient (900–1500 m) in Daiyun mountain, a subtropical forest located in southeastern China. Using the phylogenetic-bin-based null model analysis (icamp) and multiple regression on matrices approach, we explored the major drivers that influence the assembly processes of soil bacterial and fungal community across elevations. The results showed that: (1) bacterial rare taxa exhibited a broad habitat niche breadth along the elevational gradient; (2) homogeneous selection and homogenizing dispersal proved to be the most important assembly processes for the bacterial and fungal community; (3) soil phosphorus availability mediated the relative importance of deterministic and stochastic processes in the soil microbial community. Notably, the relative abundance of dominant microbial taxa controlled by homogeneous selection and homogenizing dispersal increased with increasing soil phosphorus availability. Collectively, the assembly processes of microbial elevational communities of the subtropical mountains in China can be explained to some extent by variations in the soil phosphorus availability. This conclusion provides valuable insights into the prediction of soil microbial diversity and phosphorus nutrient cycling in subtropical montane forests.

为探究植物功能性状与系统发育对不同林窗大小的响应,以格氏栲天然林为研究对象,采用简单线性回归探讨格氏栲天然林的叶功能性状和功能多样性随林窗大小的变化规律,并运用Pearson相关分析研究系统发育多样性与功能多样性的相关性,结合系统发育树和功能性状树揭示物种适应策略.结果表明:格氏栲天然林的比叶面积随林冠开度的增大而极显著减小(P<0.01),叶干物质含量随林冠开度的增大而显著降低(P<0.05),叶片氮含量随林冠开度的增大而极显著降低(P<0.01),叶片厚度随林冠开度的增大显著增大,叶绿素含量和叶片磷含量随林冠开度的增大显著升高(P<0.05).增大林冠开度,格氏栲天然林的功能均匀度、功能分歧度和功能离散度具有显著降低的趋势(P<0.05),而功能丰富度和Rao二次熵系数无明显的变化趋势.格氏栲天然林的系统发育结构和系统发育多样性与功能多样性之间的相关性较弱,仅系统发育多样性指数与功能丰富度呈现极显著正相关(P<0.01).格氏栲天然林的叶功能性状均未检测到显著的系统发育信号(P>0.05),且许多亲缘关系较远的物种具有功能相似性,表现出对外部环境的性状趋同.格氏栲天然林林窗更新过程中,植物叶功能性状具有趋同适应特性,生境过滤主导群落构建与物种共存.

Cellulose and lignin are the principal constituents of plant litter, and their degradation plays an important role in the maintaining the soil carbon balance in terrestrial ecosystems. Yet, our knowledge of the responses of litter mass loss and cellulose and lignin degradation to litter quality, environmental factors, and taxonomic diversity indices along an elevational gradient in subtropical forests remains sparse. To gain insight into litter decomposition dynamics and its influencing factors, we investigated the cellulose and lignin degradation of foliar litter that from the two most dominant tree species along an elevational gradient (900–1,600 m) in a subtropical forest on Daiyun Mountain, China. Our results showed the following. (1) The degradation rate of cellulose was higher than that of lignin for litter collected at each elevation. The mass loss for foliar litter at different elevations was greater in the early period (0–180 days) than later period (180–270 days). (2) Litter quality, as well as environmental factors and taxonomic diversity indices, together influenced the foliar litter mass loss rate in addition to the rates of cellulose and lignin degradation. The key environmental factors included air and soil temperature, which had significant correlations with litter decomposition positively. The litter quality, namely is N (nitrogen) and P (phosphorus) contents, had significant positive correlations with degradation rates of cellulose and lignin in litter, and vice versa for lignin/N and C/N ratios. Some of the taxonomic diversity indices had positive correlations with litter decomposition, indicating that the input of highly diver litter material leads to a non-additive effect. (3) The litter decomposition was affected by the combination of litter quality, environmental factors, and taxonomic diversity indices. Of these, however, the environmental factors are the main factors that controlled the litter decomposition along elevational gradients in this subtropical forest. The results could provide a theoretical basis for understanding foliar litter nutrient release for the subtropical forest ecosystem of China.

The formation of a canopy gap results in changes to the microenvironment which, in turn, affect litter decomposition and nutrient release. However, the mechanisms underlying these effects in differently sized gaps and non-gaps remain poorly understood. To address this gap in knowledge, we selected three large gaps (above 150 m2), three medium gaps (50–100 m2), three small gaps (30–50 m2), and three non-gaps with basically the same site conditions. We then used the litter bag method to investigate leaf and branch litter decomposition over a year in a Castanopsis kawakamii natural forest with the aim of characterizing the litter mass remaining and the nutrient release in canopy gaps and non-gaps. Our results revealed that the remaining litter mass of leaf and branch litter was lower in medium gaps compared to other gaps, and leaf litter decomposed faster than branch litter. Environmental factors were identified as the primary drivers of total carbon and nitrogen release during litter decomposition. Gap size (canopy openness), taxonomic Margalef index, the Brillouin index of soil microbes, soil total nitrogen content, soil pH value, and average air temperature were identified as the main factors driving carbon and nitrogen release from branch litter. In the late decomposition stage, the taxonomic Pielou index, soil total potassium content, soil water content, and average relative air humidity were the main drivers of nutrient release from branch litter. The soil water content and average relative air humidity were also found to be the main factors affecting the nutrient release from leaf litter throughout the different stages of decomposition. Overall, our study highlights the impact of canopy gaps on microenvironmental variation, taxonomic community diversity, and soil microbial functional diversity and how these factors ultimately influence litter decomposition and nutrient release. Our findings provide an important foundation for further research into soil nutrient cycling in subtropical natural forests.

土壤微生物作为森林生态系统的主要分解者,参与土壤养分循环,在维持土壤生态系统功能和服务中发挥着重要作用.探讨不同海拔土壤微生物群落结构和功能多样性的季节变化,对维持土壤生态系统稳定具有重要研究价值.以戴云山南坡不同海拔土壤为研究对象(900-1500 m),采用Biolog-ECO微平板法,研究不同海拔土壤微生物群落结构和功能多样性的季节变化(夏季与冬季),揭示驱动戴云山不同海拔土壤微生物季节变化的主要因素.结果表明:(1)夏季海拔1400 m区域土壤微生物的碳源利用最强,微生物活性最高.冬季表现为海拔900 m处土壤微生物对碳源利用最强,活性最高.(2)土壤微生物群落对碳源利用特征的研究表明,夏季与冬季中氨基酸类和羧酸类碳源是7个海拔土壤微生物利用的主要碳源,且夏季碳源利用程度高于冬季.(3)冗余分析表明夏季和冬季戴云山南坡7个海拔土壤微生物群落功能多样性均受土壤环境因子驱动,解释量分别为72.63％和44.12％,均高于地形因子的解释量.(4)土壤温度和全钾含量等因子是驱动夏季土壤微生物群落功能多样性变化的主要因素;土壤全钾、全磷、有效磷含量和坡向是驱动冬季土壤微生物群落功能多样性变化的主要因素.海拔和季节变化通过调节土壤理化性质和土壤酶活性,进而影响森林土壤微生物群落结构和功能多样性.

The internal correlation of plant, litter and soil stoichiometric characteristics and their responses to the environment are helpful for revealing nutrient cycling mechanisms. However, few studies have assessed the nutrient relationship between plant, litter and soil and nutrient stock along elevational gradients, which limit the understanding of nutrient relationships in the ecosystem. To gain insight into the forces of nutrient stock and its stoichiometric ecological characteristics along the elevational gradients in forest ecosystem, we investigated the carbon (C), nitrogen (N) phosphorus (P) contents and stoichiometric ratios of dominant plants, litter and soil layers at different elevations (900–1600 m) in Daiyun Mountain. The results showed the following: (1) C, N and P contents showed an increasing order as plant > litter > soil in each elevation of Daiyun Mountain. Dominant plants were limited by N each elevation. C, N and P contents of plants at high elevation were higher than those at low elevation and significant correlations were found between plant and litter TN, TP and air and soil temperature (negative), which conforms to the Temperature-Plant Physiological Hypothesis (TPPH). (2) Significant correlations were found between plant C:N and litter C:N (positive); between litter C:P and soil N:P (positive); and between litter C:P and soil C:N (negative). (3) Elevation and slope were essential environmental factors to the stoichiometric ratio of plant and litter, and pH was the main factor that correlated negatively to soil stoichiometry ratio. Litter provided a link between plant and soil, and there was a coupling among plant, litter and soil nutrients. The results could provide a theoretical basis for understanding the nutrient cycling for the subtropical forest ecosystem of China.

[目的]探讨土壤细菌群落在戴云山保护区不同海拔梯度(900～1500 m)分布特征,为理解海拔影响森林土壤结构和功能提供理论依据.[方法]基于高通量测序探讨不同海拔土壤细菌群落组成及多样性,并分析环境因子对土壤优势细菌群落结构的影响过程.[结果](1)随海拔升高,土壤全磷含量总体呈逐渐递减;土壤有效磷含量整体呈单峰模式;土壤全碳和全氮含量呈双峰变化趋势.(2)不同海拔中土壤细菌优势菌门为变形菌门、酸杆菌门和放线菌门(相对丰度>10％).(3)不同海拔梯度土壤细菌多样性指数如物种数、Chao1指数、Shannon-Wiener多样性指数和ACE指数沿海拔梯度呈先上升后下降的趋势,均在1100 m处达到峰值,且达到显著水平(P<0.05).(4)微生物共现网络分析表明戴云山不同海拔土壤优势细菌群落具有明显模块化结构,关键类群包括变形菌门、酸杆菌门、放线菌门、拟杆菌门和疣微菌门的部分属,其中变形菌门的细菌关键类群最多.[结论]海拔、坡度、pH值、土壤全氮、水解氮和土壤有效磷是驱动不同海拔森林土壤优势细菌群落结构及多样性的主要因子.

通过将林学、生态学、气象学和统计学等学科进行交叉融合,构建林窗干扰生态学的虚拟仿真实验教学系统.林窗干扰生态学虚拟仿真实验内容包括林窗气象环境、土壤环境、物种多样性与森林更新等4个模块.通过对实验教学方法进行探讨,拓展虚拟仿真实验教学层次,克服林窗干扰生态学实验教学周期长,生态学过程不易观察的难题,让学生更容易理解林窗从形成,发展,重新郁闭这一重要的森林动态循环过程.通过实验室虚拟仿真加深学生对林窗生态学过程的理解,从而持续提升实践教学水平,促进林学学科高等教育内涵式发展.

在大力提倡生态文明建设的社会背景下,社会对生态与资源环境领域的特色统计人才需求旺盛.本研究探讨了生态与资源统计交叉学科人才培养模式的改革意义,从改变教育观念、调整专业结构、完善课程体系和丰富实践教学等方面阐述了改革的主要举措,提出了改革的创新点与难点,为生态与资源统计交叉学科人才的培养提供改革思路与参考.

The concentration of negative air ions (NAIs) is an important indicator of air quality. Here, we analyzed the distribution patterns of negative air ion (NAI) concentrations at different time scales using statistical methods; then described the contribution of meteorological factors of the different season to the concentration of NAIs using correlation analysis and regression analysis; and finally made the outlook for the trends of NAI concentrations in the prospective using the auto regressive integrated moving average (ARIMA) models. The dataset of NAI concentrations and meteorological factors measured at the fixed stations in the Mountain Wuyi National Park were obtained from the Fujian Provincial Meteorological Bureau. The study showed that NAI concentrations were correlated with relative humidity spanning all seasons. Water was an important factor affecting the distribution of NAI concentrations in different time series. Compared with other ARIMA models, the outlook value of the ARIMA (0,1, 1) model was closer to the original data and the errors were smaller. This article provided a unique perspective on the study of the distribution of negative air oxygen ions over time series.

"生物统计学"是农林类院校各专业重要的基础课和必修课,为学生毕业设计、科研论文撰写以及后续学习深造奠定基础.针对目前该课程考核体系存在问题,从"一纸开卷"考试形式、开放性考试内容、全过程考核、综合成绩比例调整、阶段性学习反馈等方面探讨课程考核体系的改革措施,并应用于实际教学过程,收到良好成效,也可以为其他理论应用型学科考核体系改革提供借鉴与参考.

Forest soil plays vital importance on plant community pattern formation, ecosystem productivity and ecological restoration. The relationship between the regeneration of Pinus taiwanensis seedling and the heterogeneity of soil nitrogen (N) in Daiyun Mountain National Nature Reserve (DYMNNR) were determined using geo-statistics method and geographic information system (GIS) technology. The results showed the regeneration of P. taiwanensis seedlings conformed aggregated distribution. The contents of soil total nitrogen (TN), available nitrogen (AN), nitrate nitrogen (NO3--N) and ammonium nitrogen (NH4+-N) presented moderate variability. The optimum semivariance model for TN and AN were spherical model, while those of NO3--N and NH4+-N were exponential model. The N heterogeneity mainly dominated by spatial autocorrelation ranging from 11.06 to 21.30 m. The distribution of TN, AN, NO3--N and NH4+-N was anisotropic, and an obvious mosaic pattern of distribution appeared with zonal and patchy characteristics. High levels of N all appeared in the central, south central, and southeast directions of the study plot, while lower levels of TN and AN distributed in the southwest and north central directions. Low levels of NO3--N and NH4+-N were mainly located in the eastern and western directions of the study plot, respectively. Higher N resulted in better survival possibility for P. taiwanensis seedlings, which displayed obvious habitat preferences. This study provides guidance relating to soil sampling design and the practice of natural management of P. taiwanensis forest.

Daiyun Mountain plays a fundamental role in maintaining stability of subtropical evergreen broad-leaved forest in China. To explore the distribution of vegetation on Daiyun Mountain, two-way indicator species analysis (TWINSPAN) method was used to classify the Pinus taiwanensis forest. The effects of 10 environmental factors on the distribution of P. taiwanensis forest were studied using canonical correspondence analysis (CCA). The results showed that (1) the P. taiwanensis forest could be divided into seven associations, P. taiwanensis Hayata + Schima superba Gardn. & Champ - Oligostachyum oedogonatum (Z.P. Wang & G.H. Ye) Q.F. Zhang & K.F. Huang + Photinia parvifolia (Pritz.) Schneid, P. massoniana Lamb. + Acer davidii Franch –Sarcandra glabra (Thunb.) Nakai + Styrax odoratissimus Champ, P. taiwanensis + S. superba - Clethra delavayi Franch. + Eurya groffii Merr, P. taiwanensis + Cunninghamia lanceolata (Lamb.) Hook - E. groffii + Vaccinium carlesii Dunn, P. taiwanensis + Machilus thunbergii Sieb. & Zucc - Camellia sinensis (L.) O. Kuntze + Rhododendron mariesii Hemsl. & Wils, P. taiwanensis + S. superba - Syzygium buxifolium Hook. & Arn. + Itea oblonga Hand. –Mazz and P. taiwanensis + Ilex crenata Thunb - E. saxicola H. T. Chang + R. eudoxum Balf. f. & Forrest, respectively; (2) associations I–III, V, and VII were distributed along elevation and nutrient gradients, whereas associations IV and VI were distributed on the southern slope with low soil acidity; (3) the CCA results showed that elevation and soil organic carbon played a greater role in the distribution of the seven associations; and (4) the soil and terrain factors accounted for 33.28% of the spatial distribution of the seven associations on Daiyun Mountain, and other unexplained factors accounted for 66.72%. We recommend creating different community protection areas based on elevation, and communities can be managed according to elevation.

《应用多元统计分析》是高等院校统计学专业的重要的实用性必修主干课程,主要运用数理统计的方法来研究多变量的相互依赖关系和内在统计规律.通过班级调查问卷收集实际数据,运用可视化原理、结构方程模型、关联规则,从实证角度分析探讨影响教学效果的影响因素并提出相关建议.

以戴云山自然保护区毛竹向杉木林扩张形成的3种林分:杉木林、 毛竹-杉木混交林和毛竹林为对象,测定其土壤易氧化态碳、 土壤水溶性有机碳和土壤微生物量碳的含量,研究毛竹扩张对林分土壤活性有机碳和碳库管理指数的影响.研究结果表明:(1)3种林分8月和1月土壤易氧化态碳、 土壤水溶性有机碳和土壤微生物量碳含量均随土层加深逐渐降低,表现出明显表层富集现象.各土层8月土壤易氧化态碳含量均比1月低,土壤微生物量碳含量则相反.3个土层土壤易氧化态碳含量排序为杉木林<毛杉混交林<毛竹林;(2)3种林分土壤微生物量碳、 土壤易氧化态碳和土壤水溶性有机碳储量基本随土层深度增加呈递减趋势,0-60cm土层土壤水溶性有机碳和易氧化态碳储量均为杉木林<毛杉混交林<毛竹林,土壤微生物量碳储量则相反,3种林分间差异均未达到显著水平;(3)0-60cm土层3种林分土壤碳库活度和碳库活度指数基本为杉木林>毛杉混交林>毛竹林,土壤碳库指数为杉木林<毛杉混交林<毛竹林,土壤碳库管理指数为毛竹林>毛杉混交林>杉木林.研究表明,毛竹向杉木林扩张有利于土壤质量改善,但杉木林演替成毛竹纯林后对土壤质量长期影响,则需要进一步深入研究.