中国云南洱海周边小兽体表革螨多样性（英文）

云南大理洱海周边是我国流行性出血热的流行地区之一。本文目的是运用Shannon-Wiener、系统聚类分析方法（SPSS 13.0软件）和Levins'niche等对该区3 303只小兽体表寄生革螨的物种多样性、群落结构、相似性、分布和生态位进行研究。选择的洱海周边三个不同方位恰好处于东部无量山、南部哀老山和西部苍山,由于洱海的天然隔离使这三个方位形成了同地域异生境的地理景观。在调查点共捕获小兽宿主3 303只属4目（啮齿目、食虫目、攀鼩目和食肉目）7科15属21种,收集到的小兽体表寄生虫革螨23 196只被鉴定为6科16属43种。研究结果表明革螨群落结构复杂,物种多样性高。在不同方位革螨和它们相对应宿主的分布是不均匀的,但是洱海周边不同方位同样优势小兽上寄生的优势革螨种是一致的。结果暗示：生境影响着革螨和它们相对应小兽的物种构成和分布,如果小兽宿主的分类地位和生境相似,那么相对应的小兽宿主上的革螨群落就相似; 不同方位小兽体表寄生虫革螨的丰富度和物种多样性主要由宿主本身和宿主所栖息的生境决定;这可能是小兽和革螨之间协同进化在生态学上的一个佐证。但通过使用革螨的生态位宽度分析,革螨的宿主特异性很低,这又可能暗示着小兽和革螨之间有协同进化,但协同进化程度不高。     

中国云南小兽寄生革螨的群落结构和空间分布

寄生在小兽体表的革螨可能是传播肾综合征出血热和立克次体痘等人兽共患病的媒介。本文报道了云南省28个县(市)小兽体表革螨的野外调查结果, 运用物种数、平均丰富度和Shannon多样性指数对小兽寄生革螨的群落特征和沿环境梯度的空间分布进行了研究, 并用系统聚类分析法 (SPSS 16.0软件)对18种主要小兽的革螨群落相似性进行了比较。在云南省28个县(市)共捕获到小兽14 544头, 隶属于5目（啮齿目、食虫目、攀鼩目、兔形目、食肉目）10科35属67种, 在捕获的小兽体表采集到革螨80 791头, 经鉴定属于10科33属112种。结果分析表明: 主要的宿主动物为黄胸鼠 Rattus tanezumi、齐氏姬鼠Apodemus chevrieri和大绒鼠Eothenomys miletus;纳氏厉螨Laelaps nuttalli、毒厉螨L. echidninus和贵州厉螨L. guizhouensis为革螨的优势种。齐氏姬鼠A. chevrieri、社鼠N. confucianus和黄胸鼠R. tanezumi体表寄生的革螨种类最多;臭鼩鼱Suncus murinus、齐氏姬鼠A. chevrieri和灰麝鼩Crocidura attenuata的革螨群落多样性最高。聚类分析结果表明, 大部分革螨群落的相似程度与相应小兽的亲缘关系及所处生态环境的相似性是基本一致的, 分类地位和生境选择相似的小兽, 它们的革螨群落也被聚为一类。革螨物种数沿纬度梯度的水平分布呈现两个峰值, 最大峰值出现在25°~26°N之间;沿海拔梯度的垂直分布呈单峰分布格局, 峰值在海拔2 000~2 500 m之间。革螨和小兽的多样性沿纬度梯度和海拔梯度的空间分布趋势也均表现出随着纬度和海拔的升高而先升高后降低的单峰型分布格局, 峰值分别出现在北纬25°~27°N和海拔2 000~2 500 m之间。结果提示云南革螨群落种类丰富, 多样性高。云南革螨物种数和多样性的分布格局可能直接受到古北和东洋两区系边缘效应的影响。     

中国云南部分小兽体表吸虱昆虫群落相似性及群落分类研究(英文)

应用系统聚类分析方法对云南省境内24种主要小型哺乳动物(小兽)体表吸虱昆虫群落相似性及群落分类进行了研究。研究中将每一种小兽体表的所有吸虱昆虫定义为一个相应的吸虱群落单位。结果表明,小兽体表吸虱群落结构简单,物种多样性很低。多数小兽有固定的吸虱种类寄生,其吸虱的宿主特异性高。在动物分类上隶属同一个属的小兽,其体表吸虱群落相似程度高,在系统聚类分析中大多被归为一类。在动物分类上近缘的小兽,其体表吸虱群落相似,优势虱种相同或相似,此情形尤其表现在鼠属、白腹鼠属、姬鼠属和绒鼠属。吸虱群落相似性大小与相应小兽宿主在动物分类地位上的近缘性高低呈现高度一致。从生态学角度来看,吸虱昆虫与其所寄生的小兽宿主动物之间存在密切的协同进化关系。     

吸虱昆虫群落数量分类及其与小兽宿主的协同进化关系

以云南省16种主要小兽宿主体表吸虱群落为分类单元,以基于共54个群落特征变量的各群落优势虱种的相对优势度D_r、染虱率R_L、虱指数I_L、总染虱率R_LT和总虱指数I_LT及各群落的结构参数（平均丰富度 、平均均匀度 、平均多样性指数 及平均优势度指数 ）来探讨云南省吸虱昆虫与其宿主协同进化的关系。运用SPSS12.0统计软件中的系统聚类分析,对16种主要小兽宿主体表吸虱群落进行数量分析。结果将16种小兽宿主体表吸虱群落分为8个类群。隶属同一个属的小兽,其体表吸虱群落相似程度高,在系统聚类分析中聚为一类; 大多数吸虱群落相似性大小与相应小兽宿主在动物分类上的近缘性高低呈高度一致。结果提示： 吸虱昆虫与其所寄生的小兽宿主存在同步进化的关系,特定的小兽宿主,其体表吸虱群落的构成比较稳定,宿主动物的近缘关系越近,其体表吸虱群落的相似性越高,这是吸虱昆虫与小兽宿主协同进化的一个重要生态学证据。     

中国云南洱海周边小兽体表恙螨多样性

本文运用Shannon_Wiener,系统聚类分析方法（SPSS 13.0软件）和Levins'niche等对云南大理洱海周边3 303头小兽体表寄生恙螨的物种多样性、群落结构、相似性、分布和生态位进行研究。调查点位于我国11大鼠疫自然疫源地之一,此地也是我国恙虫病和流行性出血热的流行地区。选择的洱海周边3个不同方位恰好处于东部无量山、南部哀老山和西部苍山,由于洱海的天然隔离使这3个方位形成了同地域（经度、纬度、海拔和动物地理区划相同）异生境的地理景观。从洱海的3个方位共计诱捕小兽3 303头,分类鉴定为4目,7科,15属,21种。从小兽体表共计检获56 895头恙螨,分类鉴定为3亚科,13属,109种。恙螨的丰富度、分布和物种多样性随着宿主和生境的不同而存在着显著的差异。恙螨只有幼虫寄生,强烈受到环境（温度、降雨量和生境）的影响。恙螨的宿主特异性很低,恙螨的群落相似性大小与宿主小兽之间的近缘性高低呈现较低的关联度。结果提示,大部分的宿主小兽和恙螨之间协同进化程度不高; 恙螨的这些特征从流行病学的角度来看,恙螨作为医学媒介生物在宿主之间传播疾病的潜能较大。     

贵州省部分鼠形动物体表革螨群落结构

本文汇集了1978—1988年贵州省17个县(市)的调查资料,首次对啮齿目及食虫目动物体表革螨群落结构进行了定量描述。多数宿主体表革螨种类丰富。除部分稀有种外,多数革螨宿主广泛。毒厉螨、土尔克厉螨及柏氏禽刺螨可作为多种宿主的优势革螨种。优势种在群落中的地位受物种丰富度、均匀度及多样性的影响。     

云南西部不同生境区域革螨群落的模糊聚类分析

云南西部10个不同生境区域小兽体表革螨群落经用模糊聚类分析,归并为4种群落类型：华南区室内生境型、华南区室外农耕地生境型、西南区室内生境型及西南区室外农耕地生境型。研究表明,生境的不同或在动物地理上位置的不同导致了革螨群落的差异。     

中国云南人间鼠疫流行区十种小兽体表蚤类群落的比较(英文)

本文将某一种小兽 (小型哺乳动物 )宿主体表的全部蚤作为一个特定的蚤类群落 ,在此基础上运用模糊聚类分析方法对云南人间鼠疫流行区 10种小兽体表的蚤类群落之间的相似性进行了比较。研究结果表明 ,在动物分类上比较接近的、隶属同一属 (鼠属 )的黄胸鼠、大足鼠和斯氏家鼠体表 3种蚤类群落之间的相似性较大 ,在模糊聚类的谱系图上明显聚为一类。动物分类上距离较远、隶属不同属的微尾、臭、灰麝、中华姬鼠、滇绒鼠、社鼠和锡金小鼠体表的 7种蚤类群落之间的相似性较小。结果提示 ,宿主因素可能是影响体表寄生蚤群落之间相似性大小的一个主要因子 ,当宿主在动物分类上彼此接近时 ,其体表寄生蚤群落的相似程度就比较高 ,当宿主在动物分类上距离较大时 ,其体表蚤类群落的相似程度就比较低。本文中不同属小兽体表寄生蚤类形成了不同的群落类型。     

云南省锡金小鼠体表革螨感染分析

为了解云南省锡金小鼠(Mus pahari)体表革螨的感染情况及分布规律,本研究基于1990至2015年云南省39个县(市)的调查数据,统计分析锡金小鼠体表革螨的基本感染情况和感染差异。使用聚块指数测定革螨空间分布型,用Jaccard指数计算革螨物种相似性。从捕获的720只锡金小鼠体表共采集到革螨14 098只,鉴定为2科12属37种。贵州厉螨(Laelaps guizhouensis)、贫毛厉螨(L. paucisetosa)和兴义厉螨(L. xingyiensis)是优势革螨,其在不同个体的锡金小鼠体表均呈聚集分布。不同地理景观中采集的锡金小鼠体表革螨的种类和数量相差大,山区景观中采集的锡金小鼠体表革螨的感染率Pm、平均多度MA和感染度MI均明显高于坝区景观中采集的个体(P0.05)。不同性别的锡金小鼠体表革螨物种中度相似,雄鼠的平均多度和感染度高于雌鼠(P 0.05)。种-样方关系图显示革螨物种数随宿主抽样量的增加而增加。结果表明,锡金小鼠体表革螨感染普遍,三个优势螨种在不同个体的宿主体表呈聚集分布,采自不同地理景观的锡金小鼠体表革螨构成差异较大。     

云南省小兽体表革螨名录初报

1994年至2004年在云南省境内共调查了25个县（市）,共捕获53种啮齿目、食虫目、攀口目、兔形目和翼手目小兽10803只,从其体表分检出革螨68572只,隶属10科26属80种,其中云南新记录种12种;结合相关文献记载,到目前为止,整个云南省小兽体表革螨共有10科33属112种。     

Decay of similarity of gamasid mite assemblages parasitic on Palaearctic small mammals: geographic distance, host-species composition or environment

Aim The similarity between parasite assemblages should decrease with increasing geographic distance between them, increasing dissimilarity in environmental conditions, and/or increasing dissimilarity of the local host fauna, depending on the dispersal abilities of the parasites and the intimacy of their associations with the host. We tested for a decay in the similarity of gamasid mite assemblages parasitic on small mammals with increasing geographic, ‘environmental’ and ‘host faunal’ (= ‘host’) distances. Location We used data on assemblages of haematophagous gamasid mites (superfamily Dermanyssoidea) parasitic on small mammals (Insectivora, Lagomorpha and Rodentia) from 26 different regions of the northern Palaearctic. Methods Similarity in mite assemblages was investigated at the compound community level across all regions, and at the component community level, across populations of the same host species for each of 11 common host species. Similarity between pairs of mite communities was estimated using both the Jaccard and the Sorensen indices. Environmental distance was estimated as the dissimilarity between locations in a composite measure of climatic variables, and host faunal distance was simply taken as the reciprocal of indices of similarity between the composition of host faunas in different locations. Generalized Linear Models (GLM) and Akaike's Information Criterion were used to select the best model of decay in similarity as a function of geographic, ‘environmental’ and ‘host faunal’ distances. Results Overall, despite slight differences among host species, the similarity in mite assemblages decreased with both increasing ‘environmental’ distance and increasing ‘host faunal’ distance, but was generally unaffected by geographic distance between regions. The similarity of component communities of gamasid mites among host populations was determined mainly by similarity in the physical environment, whereas that of compound communities varied mainly with host‐species composition. Main conclusions Our results indicate that the general decay in community similarity with increasing geographic distances does not apply to assemblages of gamasid mites; it is possible that they can overcome great distances by means of passive dispersal (either by phoresy or wind‐borne), or more likely they occur wherever their hosts are found as a result of tight cospeciation in the past. Mite assemblages on small mammalian hosts seem to be affected mainly by local environmental conditions, and, to a much lesser extent, by the species composition of local host communities.     

Ecological correlates of body size in gamasid mites parasitic on small mammals: abundance and niche breadth

We studied ecological correlates of body size (abundance and niche breadth) in gamasid mites parasitic on small mammals in 28 regions of the Palearctic. We predicted that smaller species would be characterized by higher abundance than larger species, all else (e.g. host species) being equal. We also predicted that host specificity of mites would decrease (that is, number of host species they use would increase) with an increase in their body size. We focused on mites collected from host bodies that include a) species that feed solely on host’s blood (obligate exclusive haematophages), b) species that feed on both host’s blood and small arthropods (obligate non‐exclusive haematophages), and c) facultative haematophages. We expected that the relationship between body size and abundance and/or host specificity would be more pronounced in obligate exclusively haematophagous mites than for obligate non‐exclusively and facultative haematophagous mites. Across all mite species across regions, mean abundance correlated negatively with body size. The same was true for obligate haematophagous species, but not for facultative haematophages. When mite communities on the same host in a location were considered, the negative body mass–abundance relationship was found in only 3 of 44 communities. Nevertheless, a meta‐analytic (across host species) estimate of the slope of this relationship appeared to be significantly negative. No significant relationship between mite body size and host specificity was found in the analyses across all mite species as well as in obligate exclusive or obligate non‐exclusive haematophages. However, the number of hosts used by facultative haematophagous mites decreased significantly with an increase in their body size. We explain the relationships between morphological (body size) and ecological (abundance and niche breadth) properties of ectoparasites by their interactions with hosts or physical environment.     

Body size and coexistence in gamasid mites parasitic on small mammals: null model analyses at three hierarchical scales

We studied body size ratio in gamasid mites (Acari: Mesostigmata) parasitic on Palearctic small mammals at 3 hierarchical scales, namely infracommunities (an assemblage of mites harboured by an individual host), component communities (an assemblage of mites harboured by a host population), and compound communities (an assemblage of mites harboured by a host community). We used null models and asked a) whether body size distributions in these communities demonstrate non‐random patterns; b) whether these patterns indicate segregation or aggregation of body sizes of coexisting species; and c) whether patterns of body size distribution are scale‐dependent, that is, differ among infracommunities, component communities, and compound communities. In most mite assemblages, the observed pattern of body size distribution did not differ from that expected by chance. However, meta‐analyses demonstrated that component and compound communities of gamasid mites consistently demonstrated a tendency to reduced body size overlap, while we did not find any clear trend in mite body size distribution across infracommunities. We discuss reasons for scale‐dependence of body size distribution pattern in parasite communities and propose ecological and evolutionary mechanisms that allowed the reduced body size overlap in component and compound communities of ectoparasites to arise.     

Inferring associations among parasitic gamasid mites from census data

Within a community, the abundance of any given species depends in large part on a network of direct and indirect, positive and negative interactions with other species, including shared enemies. In communities where experimental manipulations are often impossible (e.g., parasite communities), census data can be used to evaluate the strength or frequency of positive and negative associations among species. In ectoparasite communities, competitive associations can arise because of limited space or food, but facilitative associations can also exist if one species suppresses host immune defenses. In addition, positive associations among parasites could arise merely due to shared preferences for the same host, without any interaction going on. We used census data from 28 regional surveys of gamasid mites parasitic on small mammals throughout the Palaearctic, to assess how the abundance of individual mite species is influenced by the abundance and diversity of other mite species on the same host. After controlling for several confounding variables, the abundance of individual mite species was generally positively correlated with the combined abundances of all other mite species in the community. This trend was confirmed by meta-analysis of the results obtained for separate mite species. In contrast, there were generally no consistent relationships between the abundance of individual mite species and either the species richness or taxonomic diversity of the community in which they occur. These patterns were independent of mite feeding mode. Our results indicate either that synergistic facilitative interactions among mites increase the host’s susceptibility to further attacks (e.g., via immunosuppression) and lead to different species all having increased abundance on the same host, or that certain characteristics make some host species preferred habitats for many parasite species. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Abundances and host relationships of chigger mites in Yunnan Province,China

This paper reports on ectoparasitic chigger mites found on small mammals in Yunnan Province, southwest China. Data were accumulated from 19 investigation sites (counties) between 2001 and 2009. A total of 10 222 small mammal hosts were captured and identified; these represented 62 species, 34 genera and 11 families in five orders. From the body surfaces of these 10 222 hosts, a total of 92 990 chigger mites were collected and identified microscopically. These represented 224 species, 22 genera and three subfamilies in the family Trombiculidae (Trombidiformes). Small mammals were commonly found to be infested by chigger mites and most host species harboured several species of mite. The species diversity of chigger mites in Yunnan was much higher than diversities reported previously in other provinces of China and in other countries. A single species of rodent, Eothenomys miletus (Rodentia: Cricetidae), carried 111 species of chigger mite, thus demonstrating the highest species diversity and heaviest mite infestation of all recorded hosts. This diversity is exceptional compared with that of other ectoparasites. Of the total 224 mite species, 21 species accounted for 82.2% of all mites counted. Two species acting as major vectors for scrub typhus (tsutsugamushi disease), Leptotrombidium scutellare and Leptotrombidium deliense, were identified as the dominant mite species in this sample. In addition to these two major vectors, 12 potential or suspected vector species were found. Most species of chigger mite had a wide range of hosts and low host specificity. For example, L. scutellare parasitized 30 species of host. The low host specificity of chigger mites may increase their probability of encountering humans, as well as their transmission of scrub typhus among different hosts. Hierarchical clustering analysis showed that similarities between different chigger mite communities on the 18 main species of small mammal host did not accord with the taxonomic affinity of the hosts. This suggests that the distribution of chigger mites may be strongly influenced by the environment in which hosts live.     

Distribution of gamasid mites on small mammals in Yunnan Province, China

An investigation of gamasid mites on the body surface of small mammals was carried out in Yunnan Province of China from 1990 to 2004. The small mammal hosts were captured from 25 counties which represent five geographical subregions, namely Middle Subregion of Hengduan Mountains, Southern Subregion of Hengduan Mountains, Eastern Plateau Subregion of Yunnan, Western Plateau Subregion of Yunnan and Southern Moun- tainous Subregion of Yunnan. The captured 10 803 small mammal hosts belong to nine families, 29 genera and 52 species in four orders （Rodentia, Insectivora, Scandentia and Lagomorpha）. A total of 68 571 gamasid mites were collected from the body surface of the captured small mammal hosts and all the gamasid mites were identified to 10 families, 33 genera and 112 species. This paper lists all the mite species, together with their taxonomic position （genera and families） and their corresponding hosts. Much more mite species were found in the Middle Subregion of Hengduan Mountains than in other geographical subregions. The total individuals of mites and small mammals in the Middle Subregion of Hengduan Mountains are also the most plentiful in the five geographical subregions. Three dominant mite species and three dominant small mammal hosts were determined as the dominant species in the investigated areas of Yunnan Province. The dominant hosts are Rattus flavipectus （which accounts for 34.85% of the total individuals）, Apodemus chevrieri （13.43%） and Rattus norvegicus （10.40%） while the dominant gamasid mite species are Laelaps nuttalli （Hirst, 1915） （27.84%）, Laelaps echidninus （Berlese, 1887） （18.38%） and Laelaps guizhouensis （Gu et Wang, 1981） （14.79%）. The results showed the high species diversity of gamasid mites in Yunnan Province and the uneven distribution feature in different subregions.     

Species associations and trait dissimilarity in communities of ectoparasitic arthropods harboured by small mammals at three hierarchical scales

1. This study tested the relationships between the probability of pairwise species co-occurrence and pairwise dissimilarity in their traits in infracommunities (across assemblages harboured by conspecific individual hosts within a locality), component communities (across assemblages harboured by host species within a locality), and compound communities (across assemblages in different localities) of fleas and gamasid mites parasitic on small mammals in Western Siberia. 2. A significant, albeit weak, tendency was found for flea communities harboured by conspecific host individuals, host species, and host communities to be composed of similar species. No relationship between the probability of co-occurrence and trait dissimilarity was detected for mite communities at any hierarchical scale. 3. For fleas, this study explained the link between positive co-occurrence and trait dissimilarity by a process resembling environmental filtering realised mainly via host traits for infracommunities and component communities and via off-host environment for compound communities, thus suggesting that the identical shape of the relationships between co-occurrence and trait dissimilarity at different scales was driven by different mechanisms. 4. The explanation of the lack of this relationship in mites included: (i) the paucity of the subset of mite traits used in this study and its potential inadequacy for the question at hand; and (ii) possible masking of the effect induced by one trait on co-occurrence owing to the lack of this effect induced by another trait(s). 5. Caution is recommended regarding the compilation of a dataset involving multiple traits, its analysis, and the interpretation of the results.