土壤纤毛虫群落对退耕还林生态恢复的响应——以侧柏林为例

为了了解土壤纤毛虫群落对退耕还林区生态恢复下土壤环境变化的响应及尝试利用土壤纤毛虫群落特征评价退耕还林生态恢复的效果,于2010年3月至9月采用"非淹没培养皿法"、活体观察法、蛋白银染色法和Foissner计数法对甘肃陇南武都退耕还林区5个不同恢复阶段的样点和1个荒草坡对照样点的土壤纤毛虫群落特征进行了研究,同时测定了p H值、温度、含水量及速效磷、有效钾、铵态氮、有机质和有机碳含量等土壤环境因子并分析了生态恢复条件下土壤纤毛虫群落特征与土壤环境因子的相关性。研究中共鉴定到71种纤毛虫,隶属于3纲、10目、22科、29属。研究发现,不同恢复年限的土样中土壤纤毛虫的物种分布存在明显差异,并随恢复时间的延长,样点间物种相似性减小,群落组成复杂化,物种数、种群密度和物种多样性指数总体均呈增长趋势。优势类群也发生了演替,由恢复初期的肾形目演替到后期的下毛目。相关性分析结果表明,在生态恢复条件下,土壤有机质和铵态氮含量是影响土壤纤毛虫群落结构稳定性的主要因素,不同纤毛虫类群对生态恢复的响应存在差异。冗余分析显示,土壤纤毛虫群落很好地响应了生态恢复过程中土壤环境条件的变化。     

土壤纤毛虫群落对退牧还草生态恢复的响应——以玛曲县为例

为研究退牧还草对土壤纤毛虫群落特征的影响、退牧还草后土壤环境变化以及如何利用原生动物纤毛虫群落特征来评价退还效果的可行性,于2015年5月至2016年3月在甘肃省甘南藏族自治州玛曲县选取3个不同恢复年限的草地样点和1个未经过退牧还草对照样点,采用"非淹没培养皿法"、活体观察法和培养直接计数法对土壤纤毛虫的物种数和密度进行测定,同时测定了土壤温度、pH值、含水量、土壤孔隙度、速效钾、速效氮、速效磷、全氮、全钾、全磷和有机质含量,并分析了在生态逐渐恢复条件下,土壤纤毛虫群落特征与土壤环境因子间的相关性。研究共鉴定到纤毛虫95种,隶属9纲15目21科28属。研究发现,退牧还草样地与未退牧还草样地的土壤纤毛虫的物种分布存在明显差异:退牧还草后的3个样点间的物种相似性减小,群落组成复杂化,纤毛虫丰度、丰富度指数、均匀度指数和物种多样性指数增高。相关性分析结果表明,退牧还草后,对纤毛虫群落结构稳定性影响最主要的是土壤有机质、含水量和土壤全氮、全磷和全钾的含量,不同恢复年限样点的土壤纤毛虫群落组成差异较大。土壤纤毛虫群落对退牧还草生态恢复过程中土壤环境条件的变化有较好的响应。     

土壤纤毛虫群落对不同退还模式生态恢复的响应

为了探究土壤纤毛虫群落对不同退还模式生态恢复的响应及利用其群落特征来评价退还效果,于2014年4月至2015年7月在甘肃省天祝藏族自治县朵什乡退耕还林区选取了3个不同退还林型样点(云杉、沙棘混交林A1,云杉林A2,沙棘林B1)和2个对照耕地样点(小麦地A0,豌豆地B0)为研究样地,采用"非淹没培养皿法"、活体观察法和培养直接计数法对土壤纤毛虫群落特征进行了研究,同时测定了各样点土壤的相关环境因子,并分析了不同恢复模式下土壤纤毛虫群落特征与植被群落参数、土壤环境因子间的相关性。研究共鉴定到125种土壤纤毛虫,隶属于9纲19目29科34属。结果显示:退还样点和对照样点的土壤纤毛虫群落结构特征存在明显差异(P0.05),退还样点间的物种相似性减小,群落组成复杂化;退还样点土壤纤毛虫物种数、密度、物种多样性指数、均匀度指数和丰富度指数均明显增高(P0.05),且各样点间表现为A1B1A2B0A0;各样点优势类群的演替趋势,由对照样点的肾形目演替为退还样点的散毛目。相关性分析和冗余分析结果表明,退耕还林后,对纤毛虫群落结构稳定影响最主要的是有机质、含水量和全氮的含量,不同林型间土壤纤毛虫群落组成差异较大,表明土壤纤毛虫群落结构可作为对退耕还林生态恢复的评价指标。     

甘肃省徽县不同退耕还林模式下土壤纤毛虫群落特征

为了解土壤纤毛虫群落对退耕还林生态恢复的响应且将其作为评价生态恢复效果的重要参数,采用"非淹没培养皿法"、活体观察法和培养直接计数法对甘肃省陇南市徽县退耕还林区3个不同退还林型样点和1个撂荒地(对照)样点的土壤纤毛虫群落特征、植被群落特征和土壤理化指标进行了研究。结果显示:共鉴定土壤纤毛虫127种,隶属于9纲18目28科47属,恢复样点的土壤纤毛虫物种数、密度和物种多样性指数均显著高于对照样点;优势类群由对照样点的肾形目(Colpodida)演替为恢复样点的散毛目(Sporadotrichida),即随着退耕还林工程的进行,纤毛虫群落趋于复杂化。相关性分析显示,土壤纤毛虫群落与地上植被关系密切,且含水量、有机质、全氮和电导率为影响土壤纤毛虫群落组成的主导因子。该结果表明,退耕还林后,植被逐渐恢复,土壤理化因子发生变化,土壤纤毛虫群落对生态环境的恢复做出了积极的响应,因此土壤纤毛虫群落特征参数可以作为评价退耕还林效果的重要指标。     

放牧对沼泽化草甸土壤纤毛虫群落的影响

通过对甘南玛曲县3个不同放牧强度(全年禁牧、季节性放牧、全年放牧)的沼泽化草甸土壤纤毛虫群落研究调查,共鉴定纤毛虫105种,分别隶属于8纲、17目、30科、39属。在3种放牧强度下,季节性放牧纤毛虫物种多样性指数最高,全年禁牧次之,全年放牧最小;C/P系数(肾形类纤毛虫与多膜类纤毛虫种类数的比值)排序为季节性放牧全年禁牧全年放牧;全年禁牧和季节性放牧土壤纤毛虫的群落相似性较高,而全年放牧和全年禁牧样点之间群落差异较大。土壤含水量、有机质与物种数、密度及多样性指数呈极显著正相关(P0.01),全磷与密度呈极显著正相关(P0.01)且与物种数和物种多样性指数呈显著正相关(P0.05)。对土壤纤毛虫群落组成参数(物种数、物种多样性指数、密度)与土壤环境因子(土壤温度、含水量、pH、有机质、全氮、全磷、速效磷、无机氮)进行冗余分析,结果表明,土壤含水量、有机质、全氮对纤毛虫的群落组成影响较大,其中有机质对土壤纤毛虫群落的影响最大。     

甘肃天水麦积山风景名胜区土壤纤毛虫的物种多样性

用活体观察和固定染色方法对麦积山风景名胜区土壤纤毛虫物种多样性进行了研究。共鉴定到隶属于3纲12目41科55属的土壤纤毛虫115种,其中包括11个未定名种和26个中国土壤纤毛虫新纪录种。街子温泉景区、曲溪景区、麦积山石窟区、石门山和仙人崖景区各分布有47、46、44、33和26种,大弹跳虫、似织毛虫、膨大肾形虫、僧帽肾形虫、迅捷肾形虫、吻四膜虫、长刀口虫和苔藓刀口虫为广布物种。前口目和下毛目为风景名胜区土壤纤毛虫群落中的优势类群,肾形目和盾纤目为次优势类群,侧口目、吸管目和寡毛目为罕见类群。风景名胜区土壤纤毛虫物种多样性与我国已有研究报道的其他地区的均极不相似。研究结果表明,风景名胜区土壤纤毛虫物种十分丰富,特有和稀有物种繁多,群落结构复杂而特殊;土壤和水生纤毛虫群落物种组成极不相似,土壤和水生纤毛虫群落是不同的2个独立群落。     

甘肃天水麦积山风景名胜区土壤纤毛虫的物种多样性

用活体观察和固定染色方法对麦积山风景名胜区土壤纤毛虫物种多样性进行了研究。共鉴定到隶属于3纲12目41科55属的土壤纤毛虫115种，其中包括11个未定名种和26个中国土壤纤毛虫新纪录种。街子温泉景区、曲溪景区、麦积山石窟区、石门山和仙人崖景区各分布有47、46、44、33和26种，大弹跳虫、似织毛虫、膨大肾形虫、僧帽肾形虫、迅捷肾形虫、吻四膜虫、长刀口虫和苔藓刀口虫为广布物种。前口目和下毛目为风景名胜区土壤纤毛虫群落中的优势类群，肾形目和盾纤目为次优势类群，侧口目、吸管目和寡毛目为罕见类群。风景名胜区土壤纤毛虫物种多样性与我国已有研究报道的其他地区的均极不相似。研究结果表明，风景名胜区土壤纤毛虫物种十分丰富，特有和稀有物种繁多，群落结构复杂而特殊；土壤和水生纤毛虫群落物种组成极不相似，土壤和水生纤毛虫群落是不同的2个独立群落。     

兰州市北山不同林地春夏季土壤纤毛虫群落特征

为了研究兰州市北山绿化工程的植被恢复状况,于2016年4月和7月,对北山罗九公路绿化工程区的人工林及荒坡、半荒坡共6个样点进行野外调查采样,分析土壤纤毛虫群落组成及其影响因素。研究结果表明:(1)春季有10纲21目34科44属80种,夏季10纲21目38科54属104种。春夏季的优势类群均为尖毛科(Plagiocampidae),优势种为膨胀肾形虫(Colpoda inflate)和盘状肾形虫(Colpoda patella)。(2)土壤纤毛虫的丰度、物种数和多样性指数夏季高于春季,且人工林样点的土壤纤毛虫的丰度、物种数和多样性指数均高于荒坡;(3)春季土壤有机碳、土壤温度和电导率是影响土壤纤毛虫物种数分布的主要环境因子;夏季土壤有机碳、土壤温度及pH是影响土壤纤毛虫物种数分布的主要因子。总体而言,人工林土壤恢复较荒坡、半荒坡好,而人工林中杨树林和侧柏林的土壤环境质量较优。     

甘肃小陇山麻沿林区土壤纤毛虫群落特征

2006年7月和2007年11月,用活体观察和固定染色方法对小陇山麻沿林区土壤纤毛虫群落特征进行了研究.研究中共鉴定到土壤纤毛虫91种,其中包括8个未定名种.林区土壤纤毛虫群落结构复杂,计有3纲11目28科42属91种,下毛目为优势类群,肾形目和前口目为次优势类群,侧口目、缘毛目和寡毛目为偶见类群,膨胀肾形虫(Colpoda inflata)、长篮环虫(Cyrtolophosis elongata)、大口薄咽虫(Leptopharynx eurystoma)和长圆膜袋虫(Cyclidium oblongum)为优势种.林区各样点之间的土壤纤毛虫群落相似性为极不相似到中等不相似.结果表明,小陇山麻沿林区土壤纤毛虫群落物种丰富,特有和稀有物种繁多;林区各样点之间的小生境不同,土壤纤毛虫群落结构出现较大的差异.从林区生态环境的复杂性和独特性方面讨论了保护区土壤纤毛虫群落的特点.     

甘南高原沼泽湿地秋季纤毛虫物种多样性及其与环境因子的关系

用非淹没培养皿法、活体观察法和蛋白银染色法,对甘南高原沼泽湿地秋季纤毛虫物种多样性进行了研究,并采用灰色系统关联分析法分析了各样点纤毛虫群落组成参数与其生存环境因子间的关系.结果表明:6个样点共鉴定出157种纤毛虫,隶属于3纲11目34科53属,其中包括1个新种,24个未定名种,4个国内新纪录种.在鉴定到的纤毛虫中,下毛目为优势类群,前口目为次优势类群,寡毛目和袋形目为罕见类群,常见类群包括肾形目、篮口目、管口目、膜口目、盾纤目、异毛目和缘毛目.甘南高原沼泽湿地纤毛虫物种丰富,群落结构复杂,生境类群构成特殊,罕见种和特有种所占比例较大,广布种所占比例较小.灰色系统关联分析表明,各采样点纤毛虫物种丰度与其微生境环境因子密切相关,其中有机质和铵态氮是影响高原沼泽湿地纤毛虫群落稳定性的主要因素.     

西藏年楚河流域湿地土壤纤毛虫群落特征

为了研究西藏年楚河流域湿地土壤纤毛虫群落特征及其影响因素,于2020年5月、8月和10月春夏秋三个季节,根据年楚河流域湿地分布特征选取了5个湿地样地共计75个土壤样品,采用“非淹没培养皿法”和“活体观察法”对土壤纤毛虫进行了培养和鉴定,共鉴定出土壤纤毛虫154种,隶属于9纲、19目、43科、70属。结果表明土壤纤毛虫优势类群为前管目(Prorodontida),占11.69%;刺钩目(Haptorida)为次优势类群,占11.04%;罕见类群为游仆虫目(Euplotidae)、瓶纤目(Armophorida)、肾形目(Colpodida)、嗜污目(Philaslasterida)、齿管目(Chlamydodontida)和吸管目(Succorida),共占16.23%。湿地土壤纤毛虫多样性指数在三个季节间均无显著性差异(P>0.05),SD4样地的多样性指数在5个样地中最高;湿地土壤纤毛虫C/P(0.35)<1,表明其土壤环境未污染;土壤纤毛虫群落相似性位于极不相似到中等不相似之间,说明不同样地的物种组成差异性较大;土壤含水量(SWC)、土壤温度(ST)和速效钾(RAK)是...     

甘南高寒草甸土壤纤毛虫对磷酸氢二铵添加的响应

为研究磷酸氢二铵(DAP)添加对土壤纤毛虫群落结构的影响,于2012年4月在甘南高寒草甸选取典型样地,在0～120 g·m^-2浓度区间内设置5个添加水平,采用“非淹没培养皿法”、活体观察法和“3级10倍环式稀释法”测定土壤纤毛虫物种数和密度,同时测定了土壤相关环境因子(含水量、pH值、总氮、总磷、有机碳).共获得土壤纤毛虫129种,隶属9纲17目31科46属.对照组的土壤纤毛虫物种数和物种多样性指数均大于施肥处理,且随着施肥量的增大,土壤纤毛虫物种数减少,物种多样性减小,但其密度随施肥量的增大而增加.对照土壤纤毛虫优势类群为刺钩目,随着施肥量的增大,土壤纤毛虫优势类群更新为肾形目.土壤纤毛虫群落结构和环境因子的冗余分析表明,总磷、土壤温度和含水量是影响甘南高寒草甸土壤纤毛虫群落分布的关键环境因子.     

An approach to determining the sampling effort for analyzing biofilm-dwelling ciliate colonization using an artificial substratum in coastal waters

A new approach to determining sampling effort for analyzing biofilm-dwelling ciliate colonization was studied in the coastal waters of the Yellow Sea, northern China, from May to June 2010. The optimal sample size for evaluating biofilm-dwelling ciliate colonization increased with shortening exposure time, and can be determined according to the probability of recovering those species with a specified cumulative contribution to communities. More slide-replicates were required at a depth of 3 m than at 1 m to recover equivalent proportions of the ciliate communities. For routine colonization dynamics analyses, 10 slide-replicates (175 cm(2)) were sufficient to achieve a 95% probability of recovering those species with a cumulative contribution of >90% to the ciliate communities at a depth of 1 m. These results suggest that 10 slide-replicates immersed at a depth of 1 m may be an optimal sampling strategy for analyzing the colonization dynamics of biofilm-dwelling ciliate communities in marine habitats.     

A statistical approach to estimate soil ciliate diversity and distribution based on data from five continents

A total of 359 soil samples collected from five continents (Africa, Asia, Australia, Europe and South America) were investigated for the presence/absence of soil ciliate species. Merging records by species identity, we have compiled a master data list (species by sample matrix). In the list, a total of 964 soil ciliate species (644 described and 320 undescribed) are recorded. The species distributions within the 359 samples and across the five continents are examined. The frequency distribution of the species over samples is used for global diversity estimation. A statistical ACE (abundance‐based coverage estimation) model which links observed data to unseen species is applied to assess regional and global soil ciliate species richness. The model, whose reliability was tested by its power to predict the number of new species in additional samples from Africa, may resolve the controversial issue on global species diversity of soil ciliates. Although an accurate point estimate is not feasible due to severe undersampling, the statistical model enables us to obtain a minimum regional diversity and global species diversity. A consistent finding over all five continents is that at least half of the species diversity is still undiscovered. Our model also yields a global soil ciliate diversity of at least 1900 species, that is, doubles the number of currently known species, and thus diversity is relatively high. This is consistent with the finding of Foissner, who used a probability‐based method. Soil ciliate distributions between continent pairs are analyzed by adjusted abundance‐based similarity/overlap indices. These new indices account for the effect of unseen species and also reduce the bias generated by undersampling. The adjusted abundance‐based Jaccard (or Sørensen) index shows that there is about 30% (18% for Sørensen) dis‐similarity between any two continents, supporting the moderate endemicity model. The results are discussed with respect to protist species distribution, that is, whether they are cosmopolitan or of restricted distribution.     

An approach to determining the sampling effort for analyzing biofilm-dwelling ciliate colonization using an artificial substratum in coastal waters

A new approach to determining sampling effort for analyzing biofilm-dwelling ciliate colonization was studied in the coastal waters of the Yellow Sea, northern China, from May to June 2010. The optimal sample size for evaluating biofilm-dwelling ciliate colonization increased with shortening exposure time, and can be determined according to the probability of recovering those species with a specified cumulative contribution to communities. More slide-replicates were required at a depth of 3 m than at 1 m to recover equivalent proportions of the ciliate communities. For routine colonization dynamics analyses, 10 slide-replicates (175 cm²) were sufficient to achieve a 95% probability of recovering those species with a cumulative contribution of >90% to the ciliate communities at a depth of 1 m. These results suggest that 10 slide-replicates immersed at a depth of 1 m may be an optimal sampling strategy for analyzing the colonization dynamics of biofilm-dwelling ciliate communities in marine habitats.     

Spatial variation in ciliate communities with respect to water quality in the Delhi NCR stretch of River Yamuna,India

The River Yamuna emerges from Saptarishi Kund, Yamunotri and merge with River Ganges at Allahabad, India. Anthropogenic stress has affected the water quality of the river Yamuna drastically in the stretch traversing Delhi and its satellite towns (National Capital Region, NCR). In the present study, effect of water quality on the microbial life in the River Yamuna was analyzed using ciliate communities (Protista, Ciliophora) as bio-indicators. Water samples were collected from six sampling sites chosen according to the levels of pollution along the river and water quality was analysed using standard physicochemical factors. As the river traverses Delhi NCR, water quality deteriorates considerably as indicated by the Water Quality Index at the selected sampling sites. Seventy-four ciliate species representing nine classes were recorded. Based on the Shannon diversity index, maximum species diversity was found at the point where the river enters Delhi. The saprobity index showed the river water was beta-mesosaprobic when the river enters Delhi and alpha-mesosaprobic at downstream sites after the first major drain outfall. Significant relationship between the spatial variation in ciliate communities and abiotic parameters indicate that ciliates can be used as effective bioindicators of pollution in the River Yamuna.