Archaeal community structure in sediments from a seamount in the Mariana Volcanic Arc

Seamounts are subsurface mountains in the ocean. Examination of the abundance and distribution of Archaea in seamount ecosystems may provide a better understanding of their ecological functions. Most studies of marine archaeal assemblages in seamount area have focused on hydrothermal vents or ferromanganese crusts. We investigated the archaeal communities from a seamount of the Mariana Volcanic Arc, in the tropical western Pacific Ocean by using high-throughput sequencing. Thaumarchaeota was dominant in the sediments of all sample stations. Community diversity and species richness were greatest at stations near the top of the seamount, and lowest at the deepest station. One sample station on the steep southeast slope that faced the Yap-Mariana trench had a unique composition of Archaea. In summary, depth has an important influence on archaeal community structure, and the geographic properties and sediment characteristics may explain the unique distribution patterns of Archaea in this seamount. This study provides a foundation for future research on Archaea in seamounts.     

社区生活圈公共服务设施配置的空间分异分析——以大连市沙河口区为例

城市公共服务设施的配置水平直接影响到居民的生活品质。论文基于高德地图获取的地图数据,使用城市网络分析工具(Urban Network Analysis Toolbox, UNA)对大连市沙河口区内的6类公共服务设施分布进行空间分异分析,并对区内90个社区的居民出行可达设施的数量及类别进行测度,最后对各个社区进行总体评价。结果表明：① 大连市沙河口区公共服务设施空间分布不均,北多南少,呈现出“一主多次”的“廾”字形的结构,主要分布在西安路商业区周边和各个街道的次级商业区;② 居民可达设施数量空间差异大,北多南少,各街道均有1或2个区域可达设施数量较多;③ 居民可达设施类型数量存在一定差异,70%以上的住宅楼中的居民可以获得全部6类公共服务设施;④ 各社区居民可达设施总体处于差异较小的均衡状态,但仍有个别社区存在内部差异较大的现象。设施的分布、地物的阻隔和社区的封闭程度对居民获取各类公共服务设施影响较大,建议构建“设施完善、便捷可达”的15 min社区生活圈。     

布达拉宫旅游商业化的社区治理研究

以社区为出发点,综合旅游商业化、社区治理等相关理论,在布达拉宫及周边社区旅游商业化表征分类的基础上,梳理其社区旅游商业化的治理成效及治理困境。再运用静态博弈模型与决策树,分析布达拉宫及周边社区旅游商业化的治理中各利益主体博弈的过程,并探析治理困境的原因。研究发现,旅游商业化的社区治理受到各利益主体间权力大小和利益选择的影响。政府及相关部门处于强势地位,主导并采取措施治理旅游商业化。布达拉宫的各空间圈层在商业化治理过程和难度上都存在明显差异。引起治理困境的原因主要是“权”与“利”的纠葛、商业化控制的阈限不清晰、利益主体之间的沟通不畅。在主要利益相关者的博弈中,各治理主体共同重构一个相对均衡的“利益－权力”关系结构,以保证社区旅游商业化得以有效治理。     

Hierarchical community detection and functional area identification with OSM roads and complex graph theory

An in-depth analysis of the urban road network structure plays an essential role in understanding the distribution of urban functional area. To concentrate topologically densely connected road segments, communities of urban roads provide a new perspective to study the structure of the network. In this study, based on OpenStreetMap (OSM) roads and points-of-interest (POI) data, we employ the Infomap community detection algorithm to identify the hierarchical community in city roads and explore the shaping role roads play in urban space and their relation with the distribution of urban functional areas. The results demonstrate that the distribution of communities at different levels in Guangzhou, China reflects the urban spatial relation between the suburbs and urban centers and within urban centers. Moreover, the study explored the functional area characteristics at the community scale and identified the distribution of various functional areas. Owing to the structure information contained in the identification process, the detected community can be used as a basic unit in other urban studies. In general, with the community-based network, this study proposes a novel method of combining city roads with urban space and functional zones, providing necessary data support and academic guidance for government and urban planners.     

Species Abundance Distribution Patterns of a Toona ciliata Community in Xingdoushan Nature Reserve

With the goal of model fitting species abundance distribution patterns of the tree, shrub and herb layers of the natural Toona ciliata community in Xingdoushan Nature Reserve, Enshi Autonomous Prefecture, Hubei Province, we used the data collected from the field survey and employed different ecological niche models. The models tested were the broken stick model (BSM), the overlapping niche model (ONM) and the niche preemption model (NPM), as well as three statistic models, the log-series distribution model (LSD), the log-normal distribution model (LND) and the Weibull distribution model (WDM). To determine the fitted model most suitable to each layer, the fitting effects were judged by criteria of the lowest value of Akaike Information Criterion (AIC), Chi-square and the K-S values with no significant difference (P>0.05) between the theoretical predictions and observed species abundance distribution values. The result showed: (1) The fitting suitability and goodness of fit of the tree, shrub and herb layers by using the three ecological niche models were ranked as: NPM>BSM>ONM. Of the three statistical models, by accepting the fitting results of the three layers, WDM was the best fitting model, followed by LND. By rejecting the fitting tests of the herb layer, LSD had the worst fitting effect. The goodness of the statistical models was ranked as: WDM>LND>LSD. In general, the statistical models had better fitting results than the ecological models. (2) T. ciliata was the dominant species of the tree layer. The species richness and diversity of the herb layer were much higher than those of either the tree layer or the shrub layer. The species richness and diversity of the shrub layer were slightly higher than those of the tree layer. The community evenness accorded to the following order: herb>shrub>tree. Considering the fitting results of the different layers, different ecological niche models or statistical models with optimal goodness of fit and ecological significance can be given priority to in studying the species abundance distribution patterns of T. ciliata communities.     

防城河口湾鱼类群落结构及其与环境因子关系研究

文章根据2016年5月、8月、11月和2017年2月在防城河口湾海域进行的渔业资源和环境调查数据, 研究了河口湾鱼类群落结构及其空间和季节变化, 分析了鱼类群落结构与主要环境因子的关系。结果表明: 全年调查共渔获鱼类95种, 隶属于2纲12目37科69属, 适温性以暖水性鱼类为主, 生态类型以底层和近底层鱼类为主。其中, 春季60种, 夏季59种, 秋季54种, 冬季46种, 夏—秋季间种类相似性指数最高。全年优势种为褐菖鲉Sebastiscus marmoratus和长鳍篮子鱼Siganus canaliculatus, 主要种有黄鳍棘鲷Acanthopagrus latus、条马鲾Equulites rivulatus、李氏?Callionymus richardsoni和真赤鲷Pagrus major等10种; 夏、秋季的最大优势种均为长鳍篮子鱼, 春、冬季的最大优势种分别为褐菖鲉和条马鲾。全湾鱼类年均资源密度为45836尾·km ^-2和 435.21kg·km ^-2, 资源密度具有明显的空间差异和季节变化。全年各站位种数变化范围在2~21种, 多样性指数H′在0.468~4.031, 丰富度指数d在0.120~1.926, 均匀度指数J在0.181~0.969。聚类分析、单因子相似性分析(ANOSIM)及相似性百分比(SIMPER) 分析表明该海域鱼类群落存在一定程度的时空异质性。相关性分析表明影响防城河口湾鱼类群落结构的主要环境因子为水温、盐度和硝酸盐。     

三亚湾浮游动物数量分布及群落特征的季节变化

根据三亚湾2005年春、夏、秋和冬季航次的调查资料,分析了这4个季度的浮游动物的种类组成、优势种、群落结构、丰度和生物量的时空变化。经过鉴定共有终生性浮游动物125种,阶段性浮游动物17种,其中毛颚类幼虫和短尾溞状幼虫是各个季度都出现的优势种。三亚湾的浮游动物可以分为河口类群、暖水沿岸类群和广布暖水外海类群。全年浮游动物平均丰度为95.91ind·m-3,浮游动物平均生物量为69.22mg·m-3;浮游动物丰度的季节分布是夏>秋>春>冬,平均生物量的季节分布是秋>夏>春>冬,总体上一般是夏秋季高于冬春季。冬季浮游动物丰度与浮游植物细胞总密度之间没有相关性。     

南黄海和东海毛颚类生态特征的研究Ⅱ.群落特征

在对南黄海和东海毛颚类生态特征的研究数量分布特征后的续篇.重点探讨调查区毛颚类群落性质和群落结构的特征及与海区环境因子的相关性.结果表明,本区共记录毛颚类28种,种类季节变化不明显,周年共有种达64.3%;但群落优势种则有季节差异与区域差异.毛颚类群落多样性指数(H')和均匀度(J')年均值分别为1.68和0.64.H'的平面分布表现出外部海区大于近岸海区的分布格局.在群落中存在4个生态类群,其中近海暖温带类群和广盐暖水类群可分别指示黄海水、浙江沿岸流和东海陆架混合水在南黄海和东海这两个海区的相互推移和消长过程.此外,从不同侧面的计算分析也表明,影响群落特征值(H')的主要因子是温度和盐度.群落性质是以近岸暖温带低盐种和暖水广布种为主,近岸暖水种和大洋暖水种占一定比例的暖温带-亚热带群落结构的特点.     

末次冰盛期以来日本海浮游植物生产力和群落结构变化

生物标志物法已经被广泛应用于重建海洋浮游植物生产力和群落结构变化。本文利用这种方法重建了日本海末次冰盛期以来浮游植物生产力和群落结构变化。结果显示,生物标志物含量在末次冰期最盛期21～19 ka和14～4 ka时有高值,而在19～14 ka、4～0 ka有低值。末次冰期最盛期时生物标志物的高含量是由于分层导致的底层水缺氧,生物标志物得到较好保存的结果,而此时日本海盐度很低,使颗石藻相对含量很低;19～14 ka陆源输入减少,日本海生产力水平较低,不断增加的盐度使浮游植物群落结构由硅藻、甲藻占优转变为颗石藻占优;14～4 ka对马暖流流量的加大提高了日本海的初级生产力,同时高营养盐利于硅藻、甲藻的生长,使颗石藻的相对比例减小;4 ka以后随冬季风的增强和黑潮减弱,对马暖流减弱,供应的营养盐减少,日本海生产力水平降低,使颗石藻的相对比例增大,硅藻、甲藻的相对比例减小。     

Mapping of aggregated floodplain plant communities using image fusion of CASI and LiDAR data

Combined optical and laser altimeter data offer the potential to map and monitor plant communities based on their spectral and structural characteristics. A problem unresolved is, however, that narrowly defined plant communities, i.e. plant communities at a low hierarchical level of classification in the Braun-Blanquet system, often cannot be linked directly to remote sensing data for vegetation mapping. We studied whether and how a floristic dataset can be aggregated into a few major discrete, mappable classes without substantial loss of ecological meaning. Multi-source airborne data (CASI and LiDAR) and floristic field data were collected for a floodplain along the river Waal in the Netherlands. Mapping results based on floristic similarity alone did not achieve highest levels of accuracy. Ordination of floristic data showed that terrain elevation and soil moisture were the main underlying environmental drivers shaping the floodplain vegetation, but grouping of plant communities based on their position in the ordination space is not always obvious. Combined ordination-based grouping with floristic similarity clustering led to syntaxonomically relevant aggregated plant assemblages and yielded highest mapping accuracies.