基于红外热像检测的粉尘环境植物适生性评价

植物防尘是一类多功能复合、有很高环保经济价值的防尘技术,其关键是要优选出在不同粉尘污染环境中具强适生性的优势树种。为此,以我国南方某工业园区内4种常见灌木为研究对象,在室内仿真模拟的工业粉尘污染环境中,对盆栽植物样本的滞尘能力及其引起的叶表温度变化进行跟踪监测和适生性分析。实验结果表明,叶片滞尘会普遍引起叶表温度升高,不同粉尘环境中的叶表温度变化存在明显差异,含碱性物质和重金属元素的粉尘对植物的影响较为显著。所研究的4种样本植物在实验粉尘环境中的适生性大小顺序为:桂花、鹅掌柴、红继木、茶树。在工业园区绿化建设规划设计时,应在充分考虑粉尘污染环境特点的基础上,对计划引进植物进行适生性评价,选择粉尘阻滞吸附能力强且滞尘后叶片温度变化平缓的树种,从而更有效的利用绿色植物防治大气颗粒物污染。     

排序法在植物群落与环境关系研究中的应用述评

自然环境对植物的影响主要表现在气候、水文、土壤及地形方面。大尺度上,气候类型明显影响植物的带状分布与物种空间格局;中小尺度上,土壤、水文、地形以及三者的交互作用影响植物生长必需的环境与资源条件,并对植物群落物种多样性起决定性作用。多元数量分析是研究植物群落生态关系的重要方法,在揭示植物群落与环境关系方面起到关键作用。排序法作为数量分析的重要手段,经常在植物生态学研究中扮演重要角色,尤其是在植物群落分布以及群落结构方面的应用已形成一种趋势。主要从植物群落分布以及群落结构的角度综述了当今排序法的应用,分析了面临的主要问题,并提出了未来可能发展方向,以期为今后排序方法的选择应用提供参考。     

消落区植物群落对土壤团聚体稳定性的影响研究进展

水位脉动、干湿交替是影响消落区植物群落分布和土壤稳定性的关键环境驱动力,消落区植物群落是影响土壤团聚体稳定的重要因素,研究消落区植物群落结构和功能性状对土壤团聚体稳定性的影响有助于预测消落区植物演替过程和揭示其对岸带稳定的影响机制。本文总结了国内外相关研究,综述了植物群落对干湿交替环境的响应,同时基于植物功能性状对干湿交替的响应重点阐述了其对土壤团聚体粒径稳定性的影响。未来研究应该重点关注根系构型性状和根际微生物性状对土壤团聚体的影响,并加强消落区不同胁迫强度和演替阶段植物群落组成、地上-地下性状对土壤团聚体稳定性的研究,进而探究水位脉动条件下植物群落对土壤团聚体稳定的影响机制,为消落区生态调节、生态恢复提供理论支撑。     

Herbivores alleviate the negative effects of extreme drought on plant community by enhancing dominant species

食草昆虫通过增加植物群落中优势物种的占比来缓解极端干旱对整个植物群落的负面影响 极端干旱和食草昆虫均会抑制草原生态系统中植物的生长。食草昆虫也可能会调控植物群落对极端干旱的响应。但是关于二者交互作用对植物群落的影响鲜有报道。通过在内蒙古半干旱草原设置的极端干旱与食草昆虫交互控制实验,本研究探究了二者交互作用对植物群落的影响。研究结果表明,干旱和食草昆虫的单独作用均降低了植物群落的总盖度。但在二者交互作用下,食草昆虫通过增加植物群落中耐旱优势物种的相对盖度降低了干旱对总盖度的负面影响。我们的结果证明了食草昆虫可以缓解极端干旱对植物群落的负面影响。     

食草动物与植物的相互关系

动植物相互作用是决定动植物群落结构的重要因素[50 ] 。动物从多方面和多层次影响植物 ,最后都反映到植物群落结构的变化。而变化的植物群落又从各方面影响动物的生理、行为、种群特征、分布、种间关系等方面 ,最终反映到动物群落水平层次的改变 ,所以对动物群落与植物群落关系及机理的研究是个内容十分丰富的重要领域。1　食草动物的牧食作用对植物的影响食草动物的牧食作用 ,常使植物形态和结构发生变化 ,如导致植株的“矮化”或“匍匐化”,增加剌结构和机械结构 ,以抵御进一步被牧食[42 ] 。一定强度的牧食会加速植物光合作用强度 ,从而…     

干旱砾漠区不同地貌单元植物群落特征及其与环境因子的关系

探究干旱砾漠区不同地貌单元植物群落特征及其驱动力,对干旱区不同地貌单元针对性的自然植物群落保护措施制定与合理的人工恢复植物群落构建具有重要意义。该研究分析了干旱砾漠区砾漠戈壁、风蚀残丘、风沙地和河谷地4种微地貌单元植物群落结构、组成与多样性特征,并基于土壤和微气象因子监测探究了不同地貌单元影响植物群落变化的主要生态因子。结果表明：（1）干旱砾漠区植物群落呈斑块状分布,垂直结构1～2层,生活型主要以1年生植物和小灌木为主;不同地貌单元中砾漠戈壁灌木约占45%,风蚀残丘和风沙地1年生植物约占50%,河谷地植物群落包含所有统计的5种生活型,其中包括少量乔木和藤本植物。（2）干旱砾漠区河谷地的植物群落覆盖度、植株密度、群落多样性和稳定性最高,风蚀残丘次之,在植物分布稀疏的砾漠戈壁和群落结构最简单的风沙地植物群落多样性和稳定性最低。（3）土壤含水率、有机质、可溶性盐和地表温度是影响干旱砾漠区植物多样性、生产力和群落稳定性的主要因子,除此之外,风蚀残丘的土壤容重、砾漠戈壁和风沙地的地表风速也是影响各自微地貌单元植物群落特征的主要因子。综上所述,干旱砾漠区生态受损后应依据不同微地貌单元中影响植物群落...     

辽西北部主要绿化树种对粉尘污染的生理响应研究

为探究乡土和外来树种对城市不同污染环境的适应性,选取阜新市工业区、道路、矿区和公园绿地共有的10种树种作为研究对象,采用洗脱法测定了各树种单位叶面积滞尘量,并测定了叶片滞尘前后生理指标的变化,探讨不同种树叶片滞尘效应,以及叶片滞尘后对植物生理活动的影响。结果表明：(1)在4个功能区的不同树种单位叶面积滞尘量均不同,其中新疆杨单位叶面积滞尘量都较高、均值为1.45 g/m²,银杏单位叶面积滞尘量都较低、均值仅有0.92 g/m²。(2)叶片滞尘之后生理指标分析显示,叶片SPAD值呈显著下降趋势,渗透调节物质(脯氨酸、可溶性蛋白、可溶性糖)含量和细胞膜透性(MDA、Rec)均呈上升趋势,而抗氧化酶活性(SOD和POD)呈下降趋势但下降率不明显。(3)银杏和五角枫滞尘量与各生理指标之间有显著相关关系,更适合从生理方面检测城市粉尘污染环境指示物。(4)4个功能区不同树种滞尘能力与抗尘能力聚类分析显示,新疆杨、紫丁香、山皂荚和臭椿的滞尘能力和抗尘能力均较强;阜新市外来树种新疆杨、紫叶李、臭椿等的滞尘和抗尘能力均与乡土树种相当。研究认为,在长期粉尘污染胁迫下,各绿化树种可能通过提高渗透调节物质含量和抗氧化酶的活性等来缓解粉尘污染的伤害,外来树种与乡土树种同样在各污染环境中表现出较强的适应能力;在不造成生物入侵危害的前提下应该积极引进能够有效滞尘和治沙防风的外来树种。     

菱镁矿粉尘污染土壤机理及其植物修复

综述了菱镁矿粉尘对土壤的污染和植物的毒害作用机理,分析了镁粉尘污染土壤的改良途径,探讨了植物修复的可行性和关键技术.菱镁矿在开采、生产加工过程中产生的大量粉尘,主要成分为MgCO3和MgO,镁粉尘对土壤的污染和植物的毒害作用主要是通过碱化、板结土壤,以及使土壤中的水溶性钙、镁离子比例失调而造成的.虽然菱镁矿粉尘污染土壤的植物修复研究鲜见报道,但通过植物吸收、植物代谢和植物积累等作用去除土壤中的过量镁具有较强的可行性.     

佛山市主要城市园林植物滞尘效益分析

研究了佛山主要园林植物净化大气环境的生态效应,测定了佛山市15种主要城市绿化植物滞尘能力,采用相关的指标和评价分析方法,建立相关模型,同时对影响植物叶片滞尘能力的有关因子进行了分析和探讨。研究表明,不同地点及不同种类的植物的滞尘量差异显著,乔木树种滞尘量最大,说明乔木植物是滞尘的主体。不同植物滞尘能力的差异与叶片的表面特性(皱纹、粗糙、绒毛、油脂等)及其湿润性有密切关系,滞尘量的多少与树冠总叶面积、枝干分枝角度、树冠形状等有关。     

干扰对植物群落物种组成及多样性的影响

在介绍了干扰的概念及其性质和干扰对物种多样性影响的有关假说基础上,以森林干扰为主要对象,探讨了干扰对植物群落物种组成的影响,并从干扰类型、干扰强度和干扰频率等几个方面阐述了干扰对植物群落物种多样性的影响;另外,还分析了重要的小尺度干扰——林隙在该方面的影响。分析总结出干扰对植物群落的影响差异主要与干扰特征、植物群落特征及植物的生物学特性和受干扰地点的资源条件有关。最后,总结分析了国内外在该方面研究存在的问题,并对今后研究提出一些建议,为相关工作提供参考。     

神头二电厂灰场植物群落分析研究

火电厂贮灰场常位于电厂附近平原地带,占地面积大,贮留时间长,以山西省神头二电厂马邑贮灰场为例,采用等级聚合分类分析。群落多样性与环境因子的方差分析和相关分析等方法。系统研究了灰场环境对植物群落类型,分布,多样性的影响。结果表明：灰场区植物分为4个群落,以强耐盐碱的碱蓬群落为优势群落,群落分布和多样性受灰场的影响较小,但随着土壤盐渍化程度的加重,植物群落多样性,均匀性呈下降趋势。     

Direct and indirect effects of light pollution on the performance of an herbivorous insect

Light pollution is a global disturbance with resounding impacts on a wide variety of organisms, but our understanding of these impacts is restricted to relatively few higher vertebrate species. We tested the direct effects of light pollution on herbivore performance as well as indirect effects mediated by host plant quality. We found that artificial light from streetlights alters plant toughness. Additionally, we found evidence of both direct and indirect effects of light pollution on the performance of an herbivorous insect, which indicates that streetlights can have cascading impacts on multiple trophic levels. Our novel findings suggest that light pollution can alter plant-insect interactions and thus may have important community-wide consequences.     

水泥粉尘污染对水稻,油菜和土壤环境的影响

通过在水泥厂周围布设不同监测样点、样田,了解水泥粉尘沉降对水稻、油菜和土壤环境的影响。结果表明,水泥厂周围的大气环境受到不同程度的粉尘污染。水泥粉尘使一些农田水稻和油菜产量有所下降,但对质量未产生不良影响,水泥粉尘会使土壤中钙的含量明显增加。     

工业运输活动对周边荒漠草原植物多样性与土壤性状的影响

研究工业运输活动释放出的重金属元素对周边荒漠草原植被群落特征和土壤性状的关系，为工业活动影响下的荒漠草原植被恢复和重建提供科学依据。以宁夏盐池县高沙窝工业集中区邻近的荒漠草原为研究对象，结合前期土壤和降尘的重金属含量，根据内梅罗污染指数划分了五个污染梯度(梯度Ⅰ、梯度Ⅱ、梯度Ⅲ、梯度Ⅳ和梯度Ⅴ),采用野外调查和室内分析的方法，对比分析了不同污染梯度下的植被群落特征与土壤性状的关系。结果显示：在前三个污染梯度下物种组成相对较多，禾本科(Gramineae)、藜科(Chenopodiaceae)、豆科(Leguminosae)和菊科(Compositae)为优势科。其中，牛枝子(Lespedeza potaninii)和短花针茅(Stipa breviflora)的重要值分别为59.41和44.26,是研究区工业生产和交通运输影响下的主要物种。随着污染梯度的升高，植物群落均匀度指数显著下降(P<0.05),工业交通运输活动造成研究区荒漠草原植被组成单一，群落结构不稳定。表层土壤养分受重金属影响波动较大，土壤全氮和有机质是影响物种多样性指数的主要土壤因子，随着污染梯度的升高显著降低(P...     

中国主要城市森林对大气PM2.5的削减量及其占大气PM2.5总量比例

空气中的细颗粒物(PM_2.5)是我国城市空气污染的主要污染物之一,严重威胁着城市居民的健康,限制城市发展的可持续性。PM_2.5去除的自然途径有两种,分别是干沉降和湿沉降,其中干沉降占据主导作用,且干沉降的过程和效率与城市森林紧密关联。目前针对城市森林对干沉降作用的研究主要是在小尺度中从不同树种、不同群落结构、不同景观类型等角度来估算并比较其滞尘量,较少关注其占空气污染总量的比率,从而可能影响对城市森林滞尘服务能力的判断。因此,利用城市森林效益(Urban Forest Effect, UFORE)模型中的大气污染干沉降模块的核心算法,以2015年为例,估算了我国主要城市辖区的城市森林一年内对大气中的PM_2.5削减量以及其占空气中PM_2.5污染总量的比重。结果显示：(1)2015年全国主要城市单位绿地面积日均滞尘量较高地区主要集中在华北地区、华东地区、以及东北地区。其中北京30.47mg/m²,苏州24.63mg/m²,沈阳28.55mg/m²     

Fungal and Bacterial Communities in Indoor Dust Follow Different Environmental Determinants

People spend most of their time inside buildings and the indoor microbiome is a major part of our everyday environment. It affects humans’ wellbeing and therefore its composition is important for use in inferring human health impacts. It is still not well understood how environmental conditions affect indoor microbial communities. Existing studies have mostly focussed on the local (e.g., building units) or continental scale and rarely on the regional scale, e.g. a specific metropolitan area. Therefore, we wanted to identify key environmental determinants for the house dust microbiome from an existing collection of spatially (area of Munich, Germany) and temporally (301 days) distributed samples and to determine changes in the community as a function of time. To that end, dust samples that had been collected once from the living room floors of 286 individual households, were profiled for fungal and bacterial community variation and diversity using microbial fingerprinting techniques. The profiles were tested for their association with occupant behaviour, building characteristics, outdoor pollution, vegetation, and urbanization. Our results showed that more environmental and particularly outdoor factors (vegetation, urbanization, airborne particulate matter) affected the community composition of indoor fungi than of bacteria. The passage of time affected fungi and, surprisingly, also strongly affected bacteria. We inferred that fungal communities in indoor dust changed semi-annually, whereas bacterial communities paralleled outdoor plant phenological periods. These differences in temporal dynamics cannot be fully explained and should be further investigated in future studies on indoor microbiomes.     

Community analysis of Persian oak fungal microbiome under dust storm conditions

Dust storms have major effects on terrestrial ecosystems through the long-distance transport and deposition of particulate matter. It is unclear how dust deposition affects plant-associated microbiomes in downwind ecosystems. Here we show that dust deposition may negatively influence the isolation, richness, and diversity of endophytic fungal communities of Persian oak. We used culture-based methods paired with Sanger sequencing to examine these effects on fungal assemblages isolated from leaf, branch and deposited dust. Increased amounts of dust deposition led to decreased endophytic fungal diversity in plant tissues but increased fungal diversity in deposited dust layers on leaves. Dust deposition decreased the abundance of a dominant endophyte in branches with promising biocontrol properties. Endophytic fungal communities found in leaves were more similar to fungal assemblages of deposited dust in comparison to branch endophytes. Our results suggest that dust storms may have ecosystem-wide effects by altering the fungal microbiomes of forest-forming trees.     

Relationships between Sediment Microbial Communities and Pollutants in Two California Salt Marshes

Salt marshes are important ecosystems whose plant and microbial communities can alter terrestrially derived pollutants prior to coastal water discharge. However, knowledge regarding relationships between anthropogenic pollutant levels and salt marsh microbial communities is limited, and salt marshes on the West Coast of the United States are rarely examined. In this study, we investigated the relationships between microbial community composition and 24 pollutants (20 metals and 4 organics) in two California salt marshes. Multivariate ordination techniques were used to assess how bacterial community composition, as determined by terminal restriction fragment length polymorphism and phospholipid fatty acid analyses, was related to pollution. Sea urchin embryo toxicity measurements and plant tissue metabolite profiles were considered two other biometrics of pollution. Spatial effects were strongly manifested across marshes and across channel elevations within marshes. Utilizing partial canonical correspondence analysis, an ordination technique new to microbial ecology, we found that several metals were strongly associated with microbial community composition after accounting for spatial effects. The major patterns in plant metabolite profiles were consistent with patterns across microbial community profiles, but sea urchin embryo assays, which are commonly used to evaluate ecological toxicity, had no identifiable relationships with pollution. Whereas salt marshes are generally dynamic and complex habitats, microbial communities in these marshes appear to be relatively sensitive indicators of toxic pollutants.     

Comparison of Source Identification of Metals in Road-Dust and Soil

Source identification of toxic metals is very critical for pollution prevention and human health protection. Many studies only use either road dust metal data or soil metal data to evaluate metal contamination and identify pollution sources, and this may lead to the exclusion of some important information. In this study, the differences of metal spatial distribution and source identification between road dust and associated soil in an industrial area were investigated.

Results indicate the metal concentrations in road dust were generally higher than those in soil. Based on the average concentrations, the order for dust metal concentrations was Fe>>Zn>>Pb>Cu>Cr>Ni. The order for soil metal concentrations was slightly different, namely Fe>>Zn>>Cu～Pb>Ni>Cr. The spatial distributions of metals in the road dust were very different from those in the soil, except for Fe. The GIS results indicate that elevated levels of Fe, Zn, and Pb were present in road dust near a steel plant. High concentrations of Cu, Cr, and Ni appeared at a road intersection. Elevated metal concentrations of Fe, Zn, Pb, Cu, and Cr were present in soil around the steel plant. A coal-fired power plant did not seem to be a significant metal source in this study. Significant correlations for dust metals imply that these were well mixed in the study area. The metal sources identified by PCA with soil metal data were obviously different from those identified with road dust metal data. When road dust metal data were used, the changes of PCA analyzed areas slightly influenced the source identification. The PCA results were obviously influenced by changes of analyzed areas when soil metal data were used.     

城市绿地植物群落特征对亚微米颗粒物的影响

植物群落是构成城市绿地的基本单元之一,也是绿地发挥空气颗粒物调节功能的基础。亚微米级颗粒物,即PM1颗粒物对大气能见度、环境质量与人体健康等均存在严重的负面危害。为探究城市绿地植物群落对亚微米颗粒物水平的调节机制,本研究基于实地测量,针对不同类型植物群落内PM1颗粒物水平的差异,以及群落冠层结构对PM1浓度的影响开展定量研究。结果表明,植物群落对亚微米颗粒物具有一定的减滞效果。8种常见群落类型中,针阔-乔草型群落减滞PM1颗粒物的能力最优,阔叶-乔灌草群落次之,针叶-灌草型群落最弱,但不同类型植物群落内部的PM1浓度差异并不显著。植物群落的冠层结构同PM1颗粒物间存在明显的非线性响应关系,部分冠层指标存在关键的拐点阈值。当冠层郁闭度大于75%,疏透度小于55%左右时,植物群落减滞PM1颗粒物的效果最佳。