植物多样性对亚热带森林土壤微生物群落的影响

植物群落组成的改变能够直接或间接地影响土壤生态过程并调节参与这些过程的土壤生物,树种特性和多样性是影响土壤微生物多样性和群落结构的关键因素。本项目利用江西新岗山建立的中国亚热带森林生物多样性与生态系统功能(Biodiversity-Ecosystem Functioning Experiment China)BEF-China研究平台,观测了样方水平下不同多样性组成(单物种、2物种、4物种和8物种)对土壤微生物群落结构的影响。结果表明:在森林生态系统演替初期,植物多样性的改变对土壤微生物群落结构具有显著影响,在不同多样性水平处理下,微生物磷脂脂肪酸含量随着植物多样性的增加,表现出先升高后降低的趋势,但各类群微生物磷脂脂肪酸含量并未表现出对植物多样性的明显响应。其中,土壤和凋落物的理化指标能够分别解释微生物群落结构变异的28.4%和12.3%。森林生态系统较高的异质性和地下生态过程响应的滞后性,导致了土壤微生物对植物多样性组成的响应需要较长时间才能显现出来,因此,为了更好地评价地上生物多样性与生态系统功能的关联,应长期监测森林生态系统多样性组成对地下生态过程的影响。     

南亚热带混交人工林树种丰富度与土壤微生物多样性和群落组成的关系

森林植被与土壤微生物作为森林生态系统的重要组成部分,它们之间的相互作用对维持森林生态系统功能和稳定性起着重要作用。以往多在天然草地和森林生态系统开展植物多样性与土壤微生物多样性关系的研究,但人工构建的多树种混交林生态系统中树种多样性对土壤微生物群落组成的影响及其机制尚不完全清楚。因此,以南亚热带人工块状造林后自然恢复形成的多树种混交森林生态系统为研究对象,利用高通量测序技术研究了随树种丰富度（1-10种）变化土壤细菌和真菌多样性的变化规律及主要影响因子。结果表明,随树种丰富度增加,土壤真菌α多样性显著提高,但土壤细菌α多样性差异不显著;不同树种丰富度梯度间土壤细菌和真菌的群落结构组成均差异显著;Pearson相关分析表明土壤细菌α多样性主要受土壤pH和土壤铵态氮影响,而土壤pH和有效磷是土壤真菌α多样性的主要影响因子。距离冗余分析（db-RDA）表明,对土壤细菌群落组成产生显著影响的环境因子分别为土壤pH、硝态氮和芳香碳组分,而土壤有机碳、硝态氮、细根生物量和氧烷基碳组分是影响土壤真菌群落组成的主要因子。本研究的结果说明了南亚热带人工林不同树种混交后形成多树种混交林生态系统的过程中,树种组成和多样性的变化通过改变土壤理化性状和根系生物量对土壤微生物群落组成有显著影响,为制定该区域人工林通过树种丰富度合理组配调控提升地下生物多样性及生态系统功能的经营策略提供了科学依据。     

中国森林生物多样性监测: 科学基础与执行计划

中国森林生物多样性保护和恢复措施的制订依赖于生物多样性的监测信息。设计一个有效的生物多样性监测网络是一项复杂的系统工程。监测网络的设计框架可分为监测目标、监测对象、监测指标、取样策略、数据采集和处理、网络维护以及组织工作等几个部分。目前, 国际上已有5个得到广泛认可的生物多样性监测网络, 包括地球观测组织-生物多样性监测网络、全球森林监测网络、热带生态评估与监测网络、泛欧洲森林监测网络和亚马逊森林清查网络, 它们的监测目标、监测内容和方法、样地布局及部分监测成果各有特色。我们试图在全国生物多样性监测、森林资源清查和森林生态系统定位研究的基础上, 通过网络布局、建设和运行, 形成中国森林生物多样性监测网(Chinese Forest Biodiversity Monitoring Network, Sino BON-CForBio)及其监测规范体系。该网络的科学目标是, 在全国尺度上研究不同典型地带性森林的生物多样性维持机制、监测森林生物多样性变化并阐明其机理、研究生物多样性变化的效应。该网络布局以《中国植被区划》中的森林植被区划成果作为顶层设计和监测样地选择的核心依据, 设计了4个层级的监测系统; 其监测指标体系以生物多样性核心指标为主, 并结合我国传统森林群落调查方法进行拓展; 预期建成国家水平上的森林生物多样性监测网络, 阐明森林生物多样性维持机制和生物多样性变化的效应, 同时对重大生态保护工程的生物多样性保护效果进行有效性监测和验证型监测。     

中国森林冠层生物多样性监测

林冠作为森林与外界环境相互作用最直接和最活跃的关键生态界面,承载了森林生物多样性的主体,在生物多样性的形成与维持以及生态系统功能过程中发挥着重要的作用,被称为地球的"第八大洲"。同时,林冠对气候变化和人为干扰高度敏感,在人类活动和全球气候变化加剧的背景下,森林生态系统正面临着严重的威胁,首当其冲的就是森林冠层。气候变化下的林冠生物多样性保护与可持续利用已成为现代生态学研究的热点问题,受到森林生态学、气候学、环境科学等研究领域的学者越来越多的关注。据此,中国生物多样性监测与研究网络以网络内拥有森林冠层塔吊的生物多样性监测样地为平台,建立了林冠生物多样性监测专项网。该专项网将参照国际标准,统一监测指标,规范监测标准,通过大尺度地带性森林冠层内植物(包括附生种子植物和附生孢子植物)多样性、动物多样性、微生物多样性及其动态变化的长期监测,结合林冠小气候环境特征监测,建立林冠小环境特征、植物多样性、节肢动物多样性和微生物多样性等4个动态更新的数据库,以阐明我国典型森林林冠生物多样性变化的规律,揭示其对森林生态系统功能过程的影响和对全球变化的响应。     

全球视角下的中国生物多样性监测进展与展望

生物多样性强烈的时空尺度依赖性和多层次性决定了生物多样性现状与变量的分析需要在不同生态系统进行多空间尺度、全面和连续的监测。因此, 构建生物多样性研究监测网络是生物多样性保护和研究的基础工作。近年来, 对地观测组织-生物多样性观测网络(GEO BON)、亚太生物多样性监测网络(APBON)等全球、区域以及国家尺度的生物多样性监测网络蓬勃发展。中国陆续在国家尺度上建立了针对生态系统和物种的长期监测网络, 其中, 中国生物多样性监测与研究网络(China Biodiversity Observation and Research Network, Sino BON)于2013年启动建设, 在我国主要生态系统和环境梯度设置30个监测主点和60个监测辅点, 目前已建成10个专项网对动物、植物和微生物进行监测, 并建立了以数据标准与汇交、近地面遥感为核心的综合监测中心。Sino BON打造了从地下、地面到森林林冠的多尺度、多类群(功能群)以及多营养级交互为重点的监测与研究平台, 为理解生物多样性变化趋势及其驱动因素、研究生物多样性维持机制, 以及国家履行《生物多样性公约》、保护生物多样性和生物资源提供详实可靠的生物多样性变化数据。为进一步支撑国家生物多样性治理能力、深化全球多样性保护合作, 我国生物多样性监测亟需在监测技术、监测区域、数据标准、综合信息平台等方向谋求更大的发展。     

森林土壤微生物对干旱和氮沉降的响应

干旱和氮沉降深刻影响着人类世森林生态系统的生命活动与物质循环,进而影响全球碳平衡、并反馈作用于气候变化。土壤微生物驱动元素的生物地球化学循环和关键土壤生态过程,在气候变化生物学研究方面具有核心地位和全球重要性。本文综述了干旱和氮沉降对森林土壤细菌和菌根真菌的影响。提出未来应加强全球变化多因子交互作用对土壤微生物多样性、活性与生态功能的研究;建立野外长期定位站,强化亚热带森林生态系统与全球变化研究;注重土壤生物之间互作及网络研究;利用微生物大数据建立相关的机理模型等。从认识微生物多样性和群落组成对全球变化的响应与适应,逐步发展为调控利用微生物群落服务于森林的优化管理、生态资源的合理保护与可持续利用,为充分发挥微生物减缓全球气候变化的作用提供理论基础。     

模拟增温对青海湖河源湿地土壤微生物群落特征的影响

湿地生态系统在生物多样性保护等方面有着重要的功能及地位,不同的湿地生态系统在功能上存在差异,土壤微生物在湿地生态系统中发挥着重要作用,但目前对河源湿地的土壤微生物群落开展的研究较少。全球变暖大背景下,为探究温度升高对河源湿地土壤微生物的影响,利用高通量测序方法来深入了解模拟增温后土壤细菌及真菌的群落结构及多样性的变化。青海湖河源湿地细菌的优势菌群为变形菌门、酸杆菌门、放线菌门及厚壁菌门,真菌的优势菌群为子囊菌门、担子菌门。细菌群落对比真菌群落而言对土壤增温的响应更为明显,细菌菌群的相对丰度呈增加趋势,真菌群落仅Hypocreales目相对丰度显著增加;土壤细菌及真菌群落的丰富度均降低,而群落多样性增加。增温影响了土壤细菌及真菌的群落结构及多样性,且细菌群落对土壤增温更为敏感。     

农田土壤线虫多样性研究现状及展望

目前土壤生物多样性已成为土壤生态学研究的热点问题之一。土壤生物以不同的方式改变着土壤的物理、化学和生物学特性。在农田生态系统中, 土壤动物是分解作用和养分矿化作用等生态过程的主要调节者。线虫作为土壤中数量最丰富的后生动物, 其生活史和取食类型多样, 在生态系统中发挥着重要作用。本文介绍了农田生态系统中影响线虫多样性的主要因素; 回顾了土壤线虫的物种多样性、营养类群多样性、生活史多样性和功能多样性的研究现状; 并提出了今后农田生态系统线虫多样性研究的重点。建议通过综合土壤线虫的生活史策略和营养类群等信息, 深入了解其生物多样性和土壤生态系统功能, 从而更好地发挥土壤线虫对农田生态系统变化的生物指示作用。     

不同植被覆盖对黑土微生物功能多样性的影响

为探讨黑土开垦前后土壤微生物代谢功能多样性差异,在海伦农业生态试验站长期定位试验区,采用Biolog方法研究了不同季节草地、农田和裸地等3个利用时间相同(21年)的生态系统土壤微生物功能多样性的动态变化.结果表明:在春季和夏季,土壤微生物平均颜色变化率(AWCD)和Shannon多样性指数均表现为草地最高,农田次之,裸地最低;在草地和农田生态系统中,土壤微生物代谢活性和功能多样性随季节变化趋势均为夏季升高,秋季降低;在裸地生态系统中,土壤微生物代谢活性和功能多样性随季节变化呈逐渐升高趋势;在草地、农田和裸地生态系统中,土壤微生物群落利用率较高的3类碳源是糖类、氨基酸类和羧酸类.     

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。     

FreshOmics: A manually curated and standardized –omics database for investigating freshwater microbiomes

Freshwater is a critical resource for human survival but severely threatened by anthropogenic activities and climate change. These changes strongly impact the abundance and diversity of the microbial communities which are key players in the functioning of these aquatic ecosystems. Although widely documented since the emergence of high-throughput sequencing approaches, the information on these natural microbial communities is scattered among thousands of publications and it is therefore difficult to investigate the temporal dynamics and the spatial distribution of microbial taxa within or across ecosystems. To fill this gap and in the FAIR principles context we built a manually curated and standardized microbial freshwater –omics database (FreshOmics). Based on recognized ontologies (ENVO, MIMICS, GO, ISO), FreshOmics describes 29 different types of freshwater ecosystems and uses standardized attributes to depict biological samples, sequencing protocols and article attributes for more than 2487 geographical locations across 71 countries around the world. The database contains 24,808 sequence identifiers (i.e., Run_Id / Exp_ID, mainly from SRA/DDBJ SRA/ENA, GSA and MG-RAST repositories) covering all sequence-based -omics approaches used to investigate bacteria, archaea, microbial eukaryotes, and viruses. Therefore, FreshOmics allows accurate and comprehensive analyses of microbial communities to answer questions related to their roles in freshwater ecosystems functioning and resilience, especially through meta-analysis studies. This collection also highlights different sort of errors in published works (e.g., wrong coordinates, sample type, material, spelling).     

Drought‐resistant fungi control soil organic matter decomposition and its response to temperature

Microbial‐mediated decomposition of soil organic matter (SOM) ultimately makes a considerable contribution to soil respiration, which is typically the main source of CO₂ arising from terrestrial ecosystems. Despite this central role in the decomposition of SOM, few studies have been conducted on how climate change may affect the soil microbial community and, furthermore, on how possible climate‐change induced alterations in the ecology of microbial communities may affect soil CO₂ emissions. Here we present the results of a seasonal study on soil microbial community structure, SOM decomposition and its temperature sensitivity in two representative Mediterranean ecosystems where precipitation/throughfall exclusion has taken place during the last 10 years. Bacterial and fungal diversity was estimated using the terminal restriction fragment length polymorphism technique. Our results show that fungal diversity was less sensitive to seasonal changes in moisture, temperature and plant activity than bacterial diversity. On the other hand, fungal communities showed the ability to dynamically adapt throughout the seasons. Fungi also coped better with the 10 years of precipitation/throughfall exclusion compared with bacteria. The high resistance of fungal diversity to changes with respect to bacteria may open the controversy as to whether future ‘drier conditions’ for Mediterranean regions might favor fungal dominated microbial communities. Finally, our results indicate that the fungal community exerted a strong influence over the temporal and spatial variability of SOM decomposition and its sensitivity to temperature. The results, therefore, highlight the important role of fungi in the decomposition of terrestrial SOM, especially under the harsh environmental conditions of Mediterranean ecosystems, for which models predict even drier conditions in the future.     

Functional composition of plant communities determines the spatial and temporal stability of soil microbial properties in a long‐term plant diversity experiment

Stable provisioning of ecosystem functions and services is crucial for human well‐being in a changing world. Two essential ecological components driving vital ecosystem functions in terrestrial ecosystems are plant diversity and soil microorganisms. In this study, we tracked soil microbial basal respiration and biomass over a time period of 12 years in a grassland biodiversity experiment (the Jena Experiment) and examined the role of plant diversity and plant functional group composition for the spatial and temporal stability of soil microbial properties (basal respiration and biomass) in bulk‐soil. Spatial and temporal stability were calculated as the inverse coefficient of variation (CV^?1) of soil microbial respiration and biomass measured from soil samples taken over space and time, respectively. We found that 1) plant species richness consistently increased soil microbial properties after a time lag of four years since the establishment of the experimental plots, 2) plant species richness had minor effects on the spatial stability of soil microbial properties, whereas 3) the functional composition of plant communities significantly affected spatial stability of soil microbial properties, with legumes and tall herbs reducing both the spatial stability of microbial respiration and biomass, while grasses increased the latter, and 4) the effect of plant diversity on temporal stability of soil microbial properties turned from being negative to neutral, suggesting that the recovery of soil microbial communities from former arable land‐use takes more than a decade. Our results highlight the importance of plant functional group composition for the spatial and temporal stability of soil microbial properties, and hence for microbially‐driven ecosystem processes, such as decomposition and element cycling, in temperate semi‐natural grassland.     

A meta-analysis of changes in bacterial and archaeal communities with time

Ecologists have long studied the temporal dynamics of plant and animal communities with much less attention paid to the temporal dynamics exhibited by microbial communities. As a result, we do not know if overarching temporal trends exist for microbial communities or if changes in microbial communities are generally predictable with time. Using microbial time series assessed via high-throughput sequencing, we conducted a meta-analysis of temporal dynamics in microbial communities, including 76 sites representing air, aquatic, soil, brewery wastewater treatment, human- and plant-associated microbial biomes. We found that temporal variability in both within- and between-community diversity was consistent among microbial communities from similar environments. Community structure changed systematically with time in less than half of the cases, and the highest rates of change were observed within ranges of 1 day to 1 month for all communities examined. Microbial communities exhibited species–time relationships (STRs), which describe the accumulation of new taxa to a community, similar to those observed previously for plant and animal communities, suggesting that STRs are remarkably consistent across a broad range of taxa. These results highlight that a continued integration of microbial ecology into the broader field of ecology will provide new insight into the temporal patterns of microbial and ‘macro''-bial communities alike.     

Our microbial selves: what ecology can teach us

Advances in DNA sequencing have allowed us to characterize microbial communities--including those associated with the human body--at a broader range of spatial and temporal scales than ever before. We can now answer fundamental questions that were previously inaccessible and use well-tested ecological theories to gain insight into changes in the microbiome that are associated with normal development and human disease. Perhaps unsurprisingly, the ecosystems associated with our body follow trends identified in communities at other sites and scales, and thus studies of the microbiome benefit from ecological insight. Here, we assess human microbiome research in the context of ecological principles and models, focusing on diversity, biological drivers of community structure, spatial patterning and temporal dynamics, and suggest key directions for future research that will bring us closer to the goal of building predictive models for personalized medicine.     

Molecular analysis of fungal communities and laccase genes in decomposing litter reveals differences among forest types but no impact of nitrogen deposition

The fungal community of the forest floor was examined as the cause of previously reported increases in soil organic matter due to experimental N deposition in ecosystems producing predominantly high-lignin litter, and the opposite response in ecosystems producing low-lignin litter. The mechanism proposed to explain this phenomenon was that white-rot basidiomycetes are more important in the degradation of high-lignin litter than of low-lignin litter, and that their activity is suppressed by N deposition. We found that forest floor mass in the low-lignin sugar-maple dominated system decreased in October due to experimental N deposition, whereas forest floor mass of high-lignin oak-dominated ecosystems was unaffected by N deposition. Increased relative abundance of basidiomycetes in high-lignin forest floor was confirmed by denaturing gradient gel electrophoresis (DGGE) and sequencing. Abundance of basidiomycete laccase genes, encoding an enzyme used by white-rot basidiomycetes in the degradation of lignin, was 5-10 times greater in high-lignin forest floor than in low-lignin forest floor. While the differences between the fungal communities in different ecosystems were consistent with the proposed mechanism, no significant effects of N deposition were detected on DGGE profiles, laccase gene abundance, laccase length heterogeneity profiles, or phenol oxidase activity. Our observations indicate that the previously detected accumulation of soil organic matter in the high-lignin system may be driven by effects of N deposition on organisms in the mineral soil, rather than on organisms residing in the forest floor. However, studies of in situ gene expression and temporal and spatial variability within forest floor communities will be necessary to further relate the ecosystem dynamics of organic carbon to microbial communities and atmospheric N deposition.     

Temporal and spatial constraints on community assembly during microbial colonization of wood in seawater

Wood falls on the ocean floor form chemosynthetic ecosystems that remain poorly studied compared with features such as hydrothermal vents or whale falls. In particular, the microbes forming the base of this unique ecosystem are not well characterized and the ecology of communities is not known. Here we use wood as a model to study microorganisms that establish and maintain a chemosynthetic ecosystem. We conducted both aquaria and in situ deep-sea experiments to test how different environmental constraints structure the assembly of bacterial, archaeal and fungal communities. We also measured changes in wood lipid concentrations and monitored sulfide production as a way to detect potential microbial activity. We show that wood falls are dynamic ecosystems with high spatial and temporal community turnover, and that the patterns of microbial colonization change depending on the scale of observation. The most illustrative example was the difference observed between pine and oak wood community dynamics. In pine, communities changed spatially, with strong differences in community composition between wood microhabitats, whereas in oak, communities changed more significantly with time of incubation. Changes in community assembly were reflected by changes in phylogenetic diversity that could be interpreted as shifts between assemblies ruled by species sorting to assemblies structured by competitive exclusion. These ecological interactions followed the dynamics of the potential microbial metabolisms accompanying wood degradation in the sea. Our work showed that wood is a good model for creating and manipulating chemosynthetic ecosystems in the laboratory, and attracting not only typical chemosynthetic microbes but also emblematic macrofaunal species.     

Temporal variability in the diversity and composition of stream bacterioplankton communities

Bacterioplankton in freshwater streams play a critical role in stream nutrient cycling. Despite their ecological importance, the temporal variability in the structure of stream bacterioplankton communities remains understudied. We investigated the composition and temporal variability of stream bacterial communities and the influence of physicochemical parameters on these communities. We used barcoded pyrosequencing to survey bacterial communities in 107 streamwater samples collected from four locations in the Colorado Rocky Mountains from September 2008 to November 2009. The four sampled locations harboured distinct communities yet, at each sampling location, there was pronounced temporal variability in both community composition and alpha diversity levels. These temporal shifts in bacterioplankton community structure were not seasonal; rather, their diversity and composition appeared to be driven by intermittent changes in various streamwater biogeochemical conditions. Bacterial communities varied independently of time, as indicated by the observation that communities in samples collected close together in time were no more similar than those collected months apart. The temporal turnover in community composition was higher than observed in most previously studied microbial, plant or animal communities, highlighting the importance of stochastic processes and disturbance events in structuring these communities over time. Detailed temporal sampling is important if the objective is to monitor microbial community dynamics in pulsed ecosystems like streams.     

Priming effect and microbial diversity in ecosystem functioning and response to global change: a modeling approach using the SYMPHONY model

Integration of the priming effect (PE) in ecosystem models is crucial to better predict the consequences of global change on ecosystem carbon (C) dynamics and its feedbacks on climate. Over the last decade, many attempts have been made to model PE in soil. However, PE has not yet been incorporated into any ecosystem models. Here, we build plant/soil models to explore how PE and microbial diversity influence soil/plant interactions and ecosystem C and nitrogen (N) dynamics in response to global change (elevated CO₂ and atmospheric N depositions). Our results show that plant persistence, soil organic matter (SOM) accumulation, and low N leaching in undisturbed ecosystems relies on a fine adjustment of microbial N mineralization to plant N uptake. This adjustment can be modeled in the SYMPHONY model by considering the destruction of SOM through PE, and the interactions between two microbial functional groups: SOM decomposers and SOM builders. After estimation of parameters, SYMPHONY provided realistic predictions on forage production, soil C storage and N leaching for a permanent grassland. Consistent with recent observations, SYMPHONY predicted a CO₂‐induced modification of soil microbial communities leading to an intensification of SOM mineralization and a decrease in the soil C stock. SYMPHONY also indicated that atmospheric N deposition may promote SOM accumulation via changes in the structure and metabolic activities of microbial communities. Collectively, these results suggest that the PE and functional role of microbial diversity may be incorporated in ecosystem models with a few additional parameters, improving accuracy of predictions.