子午岭植被自然演替中植物多样性变化及其与土壤理化性质的关系

在野外样方调查和室内实验分析的基础上,采用相关性分析和多元逐步回归方法,分析了黄土高原子午岭地区不同演替阶段群落物种多样性、土壤理化特性以及二者的相互关系.结果表明:群落物种多样性随演替进展呈增长趋势,但其增长并非完全线性,主要表现为草本群落演替阶段物种多样性指数高于灌木演替阶段.0~20 cm和20~40 cm土层土壤的全氮、有效氮和有机质等土壤养分指标随着植被演替不断增大.在演替过程中,土壤含水量变化虽有波动,但总体上升,土壤容重波动下降,说明演替过程中土壤环境在不断得到改善.40~60 cm土层土壤理化性质变化未表现出一定规律,说明其与植被演替没有必然联系.物种多样性指数与土壤因子的相关性分析表明,群落演替过程中物种多样性变化与土壤因子存在一定相关性,其中0~20 cm土层土壤的全氮和有机质与物种的多样性指数呈显著正相关.随着土层加深,物种多样性对土壤理化性质影响表现出减弱趋势.     

黄河首曲湿地植物群落生产力、物种多样性及其与生境的关系

近年来，在气候变化与人为干扰等因素的驱动下，高寒湿地退化导致生物多样性的丧失如何影响生态系统功能尚无共识。以黄河首曲高寒湿地为研究对象，基于野外采样数据和植物群落多样性指数，重点分析植物物种多样性、地上生物量空间分布格局及其与土壤因子关系。结果表明：首曲湿地存在一定程度退化，植物群落组成主要集中在菊科和禾本科，莎草科和豆科植物较少；植物群落物种多样性和地上生物量未表现出显著的经纬度和海拔梯度变化；Patrick丰富度指数(R)和Shannon-Weiner多样性指数(H)与地上生物量呈显著正相关，说明保护区植物多样性的保护有利于生产力维持；土壤含水量影响着高寒湿地植被群落结构，与多样性指数呈显著相关性，是高寒湿地植被恢复和重建的关键性因子。该研究结果对于认识黄河首曲高寒湿地植物生物量和物种多样性及土壤因子的空间分异规律具有一定的参考价值，同时为高寒湿地退化生态系统功能的恢复及生物多样性的保护提供科学依据。     

南亚热带森林演替过程中土壤线虫群落结构变化

森林演替会通过改变植物群落组成和土壤环境影响土壤生物群落, 反过来, 土壤生物群落的变化也会对生态系统的演替产生反馈作用, 但迄今南亚热带森林演替过程中土壤生物群落的变化特征尚不清晰。本研究以广东省鼎湖山的南亚热带森林演替序列(马尾松(Pinus massoniana)林-针阔叶混交林-季风常绿阔叶林)为对象, 研究了森林演替过程中土壤线虫多样性和群落结构的动态变化及其影响因素。通过采集不同演替阶段的土壤样品, 分析和比对了不同演替阶段土壤线虫的多度、多样性、群落组成、土壤线虫生态指数以及土壤理化性质的差异。结果表明: (1)在南亚热带森林演替过程中, 针阔叶混交林和季风常绿阔叶林土壤线虫的α多样性显著高于马尾松林, 但土壤线虫总数和各营养类群多度及其相对丰度并无显著变化; (2)针阔叶混交林中土壤线虫富集指数显著高于马尾松林, 表明其土壤养分状况要好于马尾松林, 而季风常绿阔叶林土壤线虫结构指数较高, 表明其受干扰程度较低; (3)针阔叶混交林的土壤含水量和土壤理化性质(除土壤总磷含量)已达到季风常绿阔叶林的水平, 但两者的土壤pH值均显著低于马尾松林, 而土壤pH值和土壤含水量是影响土壤线虫群落动态变化的主要因素。综上所述, 南亚热带森林中土壤线虫多度、多样性和群落结构对森林演替的响应略有不同, 演替过程中土壤环境因素的趋同是导致针阔叶混交林和季风常绿阔叶林中土壤线虫多样性和群落特征相似的主要原因。     

长期封育演替下典型草原植物群落生产力与多样性关系

封育是退化草地的重要恢复措施, 理解长期封育过程中草地群落生产力和植物多样性变化特征及两者间关系, 有助于草地植被的恢复管理与利用。该研究依托宁夏云雾山国家级自然保护区典型草原长期封育演替梯度, 选择持续放牧、封育9年、26年和34年的草地群落作为研究对象, 分析其地上生产力、物种多样性和功能多样性的变化特征及内在联系。结果表明, 封育显著提高典型草原植物群落的地上生产力、凋落物生物量、功能丰富度和功能离散度, 未改变草地群落的物种丰富度、Shannon-Wiener指数和功能均匀度, 但Simpson优势度指数和Pielou均匀度指数在长期封育(34年)后显著下降。此外, 封育对不同植物群落加权平均功能性状的影响存在差异。随机森林模型和方差分解结果显示, 群落加权平均功能性状对封育草地群落地上生产力变异的解释度高达70.70%, 其中植株高度是最主要的解释因子; 功能多样性的解释度为36.86%, 主要由功能丰富度贡献; 而物种多样性的解释度仅为14.72%。由此可见, 植物功能性状和功能多样性对草地群落地上生产力的贡献远高于物种多样性, 建议将其纳入植物群落恢复演替动态研究, 以便全面了解植物多样性与生态系统功能的关系, 为更好地实现生态恢复目标奠定基础。     

浑善达克沙地不同微地形的土壤物理性质和草本群落分布及其相关性分析

采用样方调查和室内检测相结合法对内蒙古浑善达克沙地迎风坡、坡顶、背风坡和丘间地不同土层(0~10、10~20和20~40 cm)的土壤物理性质(包括含水量、田间持水量、容重、总孔隙度和毛管孔隙度)及草本群落的生产力(包括盖度和地上部生物量)和物种多样性(包括Margalef丰富度指数、Simpson多样性指数、Shannon-Wiener多样性指数和Pielou均匀度指数)进行比较分析;在此基础上,采用Pearson相关性分析法对不同微地形的土壤物理性质与草本群落各指标间以及草本群落生产力与物种多样性各指标间的相关性进行分析.结果表明:4种微地形的土壤物理性质总体上差异显著,但不同土层的土壤物理性质总体上无明显差异;从丘间地、背风坡、坡顶到迎风坡,土壤的含水量、田间持水量、总孔隙度和毛管孔隙度依次递减,而土壤容重则依次递增,说明迎风坡的土壤结构较差且水分散失较多,而丘间地的土壤结构和水分状况均相对较好.不同微地形间草本群落生产力和物种多样性总体上也存在明显差异,从背风坡、丘间地、坡顶到迎风坡,草本群落的生产力和物种多样性依次递减,仅Margalef丰富度指数表现为在丘间地最高、在迎风坡最低,说明迎风坡的草本群落物种多样性较低,群落稳定性差,而背风坡和丘间地的草本群落物种多样性和生产力水平均较高,群落稳定性较好.相关性分析结果表明:该区域的草本群落生产力和物种多样性与土壤容重呈负相关,与土壤的其他物理性状呈正相关,但仅部分指标间有显著或极显著相关性;草本群落生产力与物种多样性各指标间呈正相关,但多数指标间的相关性并不显著.研究结果显示:微地形能够显著影响浑善达克沙地的土壤物理性质和草本群落的分布特征,气候和人为干扰使该沙地的土壤物理性质受到严重破坏,导致草本群落生产力降低并处于不稳定状态.     

桂西地区南亚热带落叶栎林群落组成及物种多样性研究北大核心CSCD

落叶栎林是桂西地区南亚热带的典型次生林,也是该区域落叶阔叶林的重要群系组。该研究采用典型样方法对桂西地区落叶栎林群落进行调查,分析了该区域落叶栎林群落的物种组成、区系成分、物种多样性特征及其与地形因子的关系,为桂西地区南亚热带植物多样性保护与恢复提供依据。结果显示:(1)研究区落叶栎林群落维管束植物共计269种,隶属80科178属。(2)种子植物区系以热带成分为主,同时表现出一定程度的温带过渡性质。(3)聚类分析表明,调查的落叶栎林群落可分为云南波罗栎林、栓皮栎林、白栎林、麻栎林4种林分类型,其中以白栎林群落的物种多样性最高,且灌木层的物种多样性显著高于乔木层和草本层。(4)RDA分析显示,落叶栎林群落不同层次物种多样性的差异受地形因子的影响,多样性指标与经度、纬度、海拔之间具有明显的相关性(P<0.05),其中乔木层物种多样性主要与经度、纬度呈显著的相关性,灌木层物种多样性与纬度、海拔相关,草本层物种多样性与经度、纬度、海拔之间均有相关性。     

云南松林次生演替阶段土壤细菌群落的变化

土壤细菌多样性是维持森林生态系统功能的关键因子,森林演替是影响其动态变化的重要因素。研究云南松林不同演替阶段土壤细菌群落结构及其多样性的变化规律,有助于深入理解森林生态系统恢复过程的驱动机制。本研究以云南省永仁县皆伐后形成的针叶林、针阔混交林和常绿阔叶林为对象,基于Illumina Hiseq高通量测序技术,分析森林演替过程中土壤细菌群落组成、结构、多样性及其影响因子的变化。结果表明: 土壤细菌的种群分类单元、Ace指数、Chao1指数和Shannon指数均随着演替进行呈减少趋势,演替早期阶段土壤的细菌总数、菌群丰富度及复杂程度最高。不同演替阶段细菌群落结构存在显著差异,其中,针阔混交林的差异最大,变形菌门和酸杆菌门为各演替序列共有的优势类群,放线菌门、绿弯菌门和Patescibacteria是演替早期的优势类群,且随着演替进行呈现减少趋势;变形菌门和WPS-2相对多度随演替进行呈增加趋势。土壤pH和乔木层物种丰富度是驱动次生演替过程中土壤细菌群落组成变化的关键因子。随着演替的进行,土壤细菌多样性减少,群落组成差异加大。     

Effects of biodiversity,stand factors and functional identity on biomass and productivity during the restoration of subtropical forests in Central China

恢复梯度上华中亚热带森林生物多样性、林分因子及功能特性对生物量、生产力的影响 草地群落上进行的控制实验大都发现生物多样性对生态系统功能有显著促进作用。然而,在天然林中,多样性与林分因子、群落功能特性的相对作用大小仍存在争议。本文在森林恢复梯度上,研究这3类因素对生物量和生产力的相对影响。我们在湖北神农架设置了处于不同恢复阶段的24块(600 m²)亚热 带森林样地,计算了林分生物量和生产力。选择5个关键的植物功能性状,并计算了群落的功能多样性(功能丰富度、功能均匀度和功能离散度)和性状的加权平均值(CWM)。使用一般线性模型(GLMs)、变异分离等方法探究林分因子(密度、林龄、群落最大树高等)、功能特性、物种和功能多样性对生物量和生产力的相对重要性。研究结果表明,随着森林恢复,林分生物量和生产力显著增加,群落物种丰富度显著增加,而功能离散度显著降低。变异分离结果表明,多样性对生物量和生产力的单独效应不显著,但可能通过与林分因子和功能特性的协同效应来影响生物量和生产力。总体而言,我们发现林分因子对亚热带森林生物量和生产力的影响最大,功能特性显著影响生产力,但不影响生物量。这些结果说明,在森林经营中,调整林分结构和群落物种特性是提高森林碳储量和固碳潜力的有效途径。     

功能多样性对典型阔叶红松林生产力的影响

为比较生物量比率假说与生态位互补假说在解释生产力变异的相对重要性, 探讨生物多样性和生产力之间的关系是否受到生物和非生物因素的影响, 该研究依托小兴安岭9 hm ²阔叶红松(Pinus koraiensis)林动态监测样地, 通过计算群落初始生物量、物种多样性、功能多样性、植物性状的群落加权平均值和测定环境因子, 运用线性回归模型、结构方程模型, 比较了物种多样性和功能多样性与生产力的相关性。结果表明: (1)物种多样性和功能多样性均对生产力有显著作用, 功能多样性比物种多样性与生产力的关系更为密切; (2)功能多样性指数比群落加权平均值能更好地解释生产力变异, 说明生态位互补假说更适用于解释阔叶红松林群落内生产力的变异; (3)生物多样性与生产力的关系受生物因素与非生物因素的共同作用, 相较于多样性和功能性状组成(植被质量), 初始林分生物量(植被数量)能更有效地解释生产力的变异。生物多样性与生产力关系的研究应从植被质量与植被数量同时出发, 评估生态系统过程的多种非生物和生物驱动因素, 同时维护森林功能多样性, 加强植物与土壤环境的保护, 对有效增加生产力和维持生物多样性具有重要意义。     

中国旱区样带尺度植物多样性和生产力与环境因子的关系

旱区植物多样性、生产力与环境因子的关系是旱区生态学研究的重要课题,对于揭示该地区植被的环境适应机制有重要的参考价值。基于中国旱区东西样带的系统采样和原位调查,定量分析了各影响因素对旱区植物多样性和生产力变化的解释作用,阐明了旱区群落生产力的调控机制。结果表明：(1)旱区群落性状加权值与地上生物量间的关系(R²=0.46)相较于Shannon-Wiener指数与地上生物量的关系(R²=0.21)更为紧密。(2)旱区群落Shannon-Wiener指数、群落性状加权值、地上生物量与年均降水量、土壤有机碳含量、土壤总氮含量线性正相关,与土壤总磷含量无显著相关性;Shannon-Wiener指数、群落性状加权值与年均气温线性负相关,地上生物量与年均气温无显著相关性。(3)年均降水量对旱区群落性状加权值的解释率为40.9%,两者为正相关关系;年均气温对Shannon-Wiener指数的解释率为28.3%,两者为负相关关系。(4)群落性状加权值对地上生物量的直接路径显著,年均降雨量、年均气温和土壤有机碳通过群落性状加权值间接影响地上生物量。     

树种多样性和土壤微生物多样性对人工林生产力的影响

林分生产力通常会随着树种多样性增加而增加,但不同营养级生物多样性以及树种和土壤微生物多样性之间的相互作用如何影响生产力目前尚不清楚。以亚热带不同丰富度和树种组成的人工林为研究对象,从物种、功能性状、遗传三个维度的树种多样性以及土壤真菌和细菌系统发育多样性,探究了中国亚热带人工林树种多样性和土壤微生物多样性对林分生产力的影响。研究发现,林分生产力随树种功能多样性(FD)(P<0.001)、比叶面积群落加权均值(CWM-SLA)(P<0.01)、树种系统发育多样性(PD)(P<0.05)和土壤真菌多样性(PDF)(P<0.01)的增加而显著增加,分别解释了林分生产力总变异的12.86%、6.80%、3.67%和3.08%。FD和CWM-SLA可分别通过增加土壤真菌、细菌多样性而间接提高林分生产力。研究结果表明多营养级生物多样性是维持高水平林分生产力的基础,树种多样性和土壤微生物多样性之间的自上而下的级联效应在调节生态系统生产力方面发挥着重要作用。     

普洱季风常绿阔叶林乔木物种多样性高分辨率遥感估测

季风常绿阔叶林是我国南亚热带典型的地带性植被,也是云南省普洱地区重要森林类型。季风常绿阔叶林乔木物种多样性遥感估测对研究区域尺度生物多样性格局及其规律具有重要作用。根据光谱异质性假说和环境异质性假说,首先使用1m空间分辨率的机载高光谱数据和激光雷达数据提取了光谱多样性特征和垂直结构特征。然后利用基于随机森林算法的递归特征消除方法选择对研究区森林乔木物种多样性指数具有较好解释能力的遥感特征,并对Shannon-Winner物种多样性指数进行建模、制图。研究结果表明：（1）基于机载LiDAR数据提取的垂直结构特征和机载高光谱数据提取的光谱多样性特征均对研究区森林乔木物种多样性具有较好的解释能力,随机森林模型估测结果分别为R²=0.48,RMSE=0.46和R²=0.5,RMSE=0.45;两种数据源融合可以进一步提高遥感数据的森林乔木物种多样性估测精度,随机森林估测模型R²和RMSE分别为0.69和0.37。（2）机载激光雷达数据对研究区针阔混交林乔木物种多样性的估测能力优于机载高光谱数据。（3）机器学习方法有助于从高维遥感数据特征中选择适合于森林乔木物种多样性建模的少量特征。该研究在云南普洱开展对季风常绿阔叶林的遥感估测研究,可为森林生物多样性调查提供补充手段,有助于森林生物多样性大尺度、长期动态监测。     

不同植被恢复类型的土壤肥力质量评价

科学确定森林土壤肥力指标并进行肥力质量的评价,对立地生产力和多目标森林经营的研究有着重要意义。以采伐(径级12 cm择伐)迹地上发育来的稀树灌丛、针叶林、针阔混交林和常绿阔叶林为研究对象,进行每木调查与群落分析,并比较各群落土壤因子间的差异,用典范对应分析(CCA)和因子分析对土壤肥力质量进行定量评价。结果表明,CCA可以有效地筛选土壤肥力质量指标,有助于质量指标的科学确定;土壤肥力质量综合评价分值为稀树灌丛(0.438)常绿阔叶林(0.414)针阔混交林(-0.170)针叶林(-0.331);演替初期(19 a)的植被恢复并未使土壤结构发生明显变化,土壤肥力质量是下降的;无人为干扰的3种群落类型,针叶林表现为更高的生物量积累,而天然更新的常绿阔叶林则更有利于生物多样性的增加与土壤养分的保蓄。     

Assessing biotic and abiotic effects on forest productivity in three temperate forests

1. It is well understood that biotic and abiotic variables influence forest productivity. However, in regard to temperate forests, the relative contributions of the aforementioned drivers to biomass demographic processes (i.e., the growth rates of the survivors and recruits) have not received a great deal of attention. Thus, this study focused on the identification of the relative influencing effects of biotic and abiotic variables in the demographic biomass processes of temperate forests.
2. This study was conducted in the Changbai Mountain Nature Reserve, in northeastern China. Based on the observational data collected from three 5.2‐hectare forest plots, the annual above‐ground biomass (AGB) increment (productivity) of the surviving trees, recruits, and the total tree community (survivors + recruits) were estimated. Then, the changes in the forest productivity in response to biotic variables (including species diversity, structural diversity, and density variables) along with abiotic variables (including topographic and soil variables) were evaluated using linear mixed‐effect models.
3. This study determined that the biotic variables regulated the variabilities in productivity. Density variables were the most critical drivers of the annual AGB increments of the surviving trees and total tree community. Structural diversity enhanced the annual AGB increments of the recruits, but diminished the annual AGB increments of the surviving trees and the total tree community. Species diversity and abiotic variables did not have impacts on the productivity in the examined forest plots.
4. The results highlighted the important roles of forest density and structural diversity in the biomass demographic processes of temperate forests. The surviving and recruit trees were found to respond differently to the biotic variables, which suggested that the asymmetric competition had shaped the productivity dynamics in forests. Therefore, the findings emphasized the need to consider the demographic processes of forest productivity to better understand the functions of forests.

     

上海大金山岛植被功能组成对草本植物、土壤动物和细菌多样性的影响

揭示植物群落对土壤动物和微生物多样性的上行调控效应有助于理解不同营养级生物多样性的维持机制。以往的研究主要集中在植物物种多样性对土壤动物和微生物多样性的影响,而关于植被功能组成自下而上的影响研究较少。以上海大金山岛13个植物群落为对象,在分析落叶木本植物占比与树木和草本物种多样性,以及土壤动物和细菌多样性的关系基础上,利用结构方程模型区分了落叶木本植物占比对土壤动物和细菌多样性的直接与间接影响效应。结果显示：落叶木本植物占比不仅分别对草本物种多样性和土壤动物多样性分别产生直接正效应和负效应（P<0.01;P<0.05）,也会通过草本物种的级联效应间接的降低地下土壤细菌多样性（P<0.10）。然而,木本植物多样性仅与草本物种多样性显著正关联（P<0.10）,与土壤动物和细菌多样性无显著关联（P>0.10）。该研究结果表明,相较于木本植物多样性,落叶植物占比在中亚热带北缘森林生态系统不同营养级生物多样性维持格局中扮演着更为重要的角色。     

Functional identity of overstorey tree height and understorey conservative traits drive aboveground biomass in a subtropical forest

The niche complementarity hypothesis has received empirical support but species differ in functional strategies for their contribution to ecosystem function, as predicted by the mass ratio hypothesis. Our understanding of how functional identity of conservative and acquisitive strategies of trees predicts aboveground biomass across forest strata (i.e. overstorey and understorey) remains unclear. Aboveground biomass, community-weighted mean (CWM − functional identity) of trait values (6 leaf and 2 stem traits), and soil physicochemical properties were estimated for 125 plots in a 5-ha subtropical forest in Eastern China. We used multiple linear regressions models to relate aboveground biomass to CWM indices at overstorey and understorey strata separately, and whole-community level. We finally employed the structural equation model to test for the effects of overstorey on understorey strata, in addition to the effects of soil physicochemical properties. Forest strata optimal models showed that overstorey strata had high aboveground biomass when they are dominated by functional identity of tree height, whereas high aboveground biomass in understorey strata was driven by functional identity of dense-wooded conservative strategy. Whole-community optimal model showed that communities dominated by functional identity of leaf dry matter content and mean leaf area had high aboveground biomass. Aboveground biomass was negatively related to soil nutrients across forest strata and whole-community level. The structural equation model showed that CWM of overstorey tree height did not affect understorey functional identity and aboveground biomass, when soil physicochemical properties were accounted. Soil nutrients had positive effect on functional identity of overstorey tree height whereas negative effect on functional identity of understorey dense-wooded strategy. This study highlights the fundamental roles of forest strata where overstorey and understorey strata contribute to their corresponding aboveground biomass with contrasting functional strategies across a range of soil nutrients. High aboveground biomass was potentially driven by functional identity of tree height through making use of plentiful soil nutrients at overstorey strata, whereas by conservative strategy at understorey strata through enduring nutrient-poor soils. To better understand the roles of functional identity of conservative and acquisitive strategies in driving ecosystem functions, it is worth to analyse forest strata separately.     

Topography and soil content contribute to plant community composition and structure in subtropical evergreen-deciduous broadleaved mixed forests

Topography and soil factors are known to play crucial roles in the species composition of plant communities in subtropical evergreen-deciduous broadleaved mixed forests. In this study, we used a systematic quantitative approach to classify plant community types in the subtropical forests of Hubei Province (central China), and then quantified the relative contribution of drivers responsible for variation in species composition and diversity. We classified the subtropical forests in the study area into 12 community types. Of these, species diversity indices of three communities were significantly higher than those of others. In each community type, species richness, abundance, basal area and importance values of evergreen and deciduous species were different. In most community types, deciduous species richness was higher than that of evergreen species. Linear regression analysis showed that the dominant factors that affect species composition in each community type are elevation, slope, aspect, soil nitrogen content, and soil phosphorus content. Furthermore, structural equation modeling analysis showed that the majority of variance in species composition of plant communities can be explained by elevation, aspect, soil water content, litterfall, total nitrogen, and total phosphorus. Thus, the major factors that affect evergreen and deciduous species distribution across the 12 community types in subtropical evergreen-deciduous broadleaved mixed forests include elevation, slope and aspect, soil total nitrogen content, soil total phosphorus content, soil available nitrogen content and soil available phosphorus content.     

Structural diversity promotes productivity of mixed,uneven-aged forests in southwestern Germany

Forest diversity-productivity relationships have been intensively investigated in recent decades. However, few studies have considered the interplay between species and structural diversity in driving productivity. We analyzed these factors using data from 52 permanent plots in southwestern Germany with more than 53,000 repeated tree measurements. We used basal area increment as a proxy for productivity and hypothesized that: (1) structural diversity would increase tree and stand productivity, (2) diversity-productivity relationships would be weaker for species diversity than for structural diversity, and (3) species diversity would also indirectly impact stand productivity via changes in size structure. We measured diversity using distance-independent indices. We fitted separate linear mixed-effects models for fir, spruce and beech at the tree level, whereas at the stand level we pooled all available data. We tested our third hypothesis using structural equation modeling. Structural and species diversity acted as direct and independent drivers of stand productivity, with structural diversity being a slightly better predictor. Structural diversity, but not species diversity, had a significant, albeit asymmetric, effect on tree productivity. The functioning of structurally diverse, mixed forests is influenced by both structural and species diversity. These sources of trait diversity contribute to increased vertical stratification and crown plasticity, which in turn diminish competitive interferences and lead to more densely packed canopies per unit area. Our research highlights the positive effects of species diversity and structural diversity on forest productivity and ecosystem dynamics.     

Tree diversity and species identity effects on soil fungi,protists and animals are context dependent

Plant species richness and the presence of certain influential species (sampling effect) drive the stability and functionality of ecosystems as well as primary production and biomass of consumers. However, little is known about these floristic effects on richness and community composition of soil biota in forest habitats owing to methodological constraints. We developed a DNA metabarcoding approach to identify the major eukaryote groups directly from soil with roughly species-level resolution. Using this method, we examined the effects of tree diversity and individual tree species on soil microbial biomass and taxonomic richness of soil biota in two experimental study systems in Finland and Estonia and accounted for edaphic variables and spatial autocorrelation. Our analyses revealed that the effects of tree diversity and individual species on soil biota are largely context dependent. Multiple regression and structural equation modelling suggested that biomass, soil pH, nutrients and tree species directly affect richness of different taxonomic groups. The community composition of most soil organisms was strongly correlated due to similar response to environmental predictors rather than causal relationships. On a local scale, soil resources and tree species have stronger effect on diversity of soil biota than tree species richness per se.     

树种多样性对土壤微生物群落结构和元素生物地球化学循环的影响研究进展

森林是陆地生态系统的重要组成部分,其巨大的生产力和生态服务功能对人类的生存和发展至关重要。森林树种多样性增加能够显著提高森林生产力,关于树种多样性如何影响地下生物多样性及生态功能逐渐受到国内外学者的广泛关注。从土壤微生物及其介导的元素生物地球化学循环这一视角出发,综述了树种多样性对土壤细菌和真菌多样性、群落结构及功能的影响,提出需要进一步深入研究的方向。总体来说,树种多样性有利于增加土壤细菌生物量和多样性,是预测病原性真菌和菌根真菌多样性及群落结构的重要生物因子。树种多样性能增加土壤有机碳储量,增强森林土壤的甲烷氧化能力,并提高土壤磷周转速率及有效磷含量。关于树种多样性对森林土壤氮循环的影响需考虑多样性假说和质量比假说的相对贡献。今后应加强树种多样性对多个营养级之间相互作用的研究;关注树种多样性对生态系统多功能的影响;加强学科交叉,引入微生物种群动态模型和气候模型等模型预测方法,研究树种多样性对全球气候变化的应对机制,以期促进地上植物多样性与地下生态系统功能关系的研究,增强森林生态系统应对未来全球环境变化的能力。