A multiscale analysis of herbaceous species richness in a Mediterranean ecosystem

Aims Studies of species distribution patterns traditionally have been conducted at a single scale, often overlooking species–environment relationships operating at finer or coarser scales. Testing diversity-related hypotheses at multiple scales requires a robust sampling design that is nested across scales. Our chief motivation in this study was to quantify the contributions of different predictors of herbaceous species richness at a range of local scales.Methods Here, we develop a hierarchically nested sampling design that is balanced across scales, in order to study the role of several environmental factors in determining herbaceous species distribution at various scales simultaneously. We focus on the impact of woody vegetation, a relatively unexplored factor, as well as that of soil and topography. Light detection and ranging (LiDAR) imaging enabled precise characterization of the 3D structure of the woody vegetation, while acoustic spectrophotometry allowed a particularly high-resolution mapping of soil CaCO 3 and organic matter contents.Important findings We found that woody vegetation was the dominant explanatory variable at all three scales (10, 100 and 1000 m 2), accounting for more than 60% of the total explained variance. In addition, we found that the species richness–environment relationship was scale dependent. Many studies that explicitly address the issue of scale do so by comparing local and regional scales. Our results show that efforts to conserve plant communities should take into account scale dependence when analyzing species richness–environment relationships, even at much finer resolutions than local vs. regional. In addition, conserving heterogeneity in woody vegetation structure at multiple scales is a key to conserving diverse herbaceous communities.     

集成高分辨率UAV影像与激光雷达点云的亚热带森林林分特征反演

该研究集成高分辨率无人机(UAV)影像和激光雷达(LiDAR)点云数据估算亚热带天然次生林林分基本特征变量。首先, 基于LiDAR点云和反距离加权插值法构建林下高精度数字高程模型(DEM); 然后利用UAV影像对序列构建植被冠层上层三维点云, 并借助DEM进行高度信息归一化, 提取高度和冠层点云密度相关的特征变量; 最后, 构建预测模型并估算Lorey’s高、林分密度、胸高断面积、蓄积量。结果表明: 联合提取的特征变量与Lorey’s高的敏感性最高, 蓄积量次之, 林分密度和胸高断面积最低; 利用UAV灵活快速的手段获取森林冠层信息, 辅以高精度LiDAR数据获取的地形信息, 两者互补实现一种可重复的快速、廉价和灵活的林分特征的反演方式。     

Australian Hajj pilgrims' knowledge about MERS-CoV and other respiratory infections

正Dear Editor,With the intense crowding in mass gatherings such as Hajj,there is a high risk of acquisition of airborne in-fections with the potential for its transmission in the pilgrims’country of origin(Memish Z A,et al.,2014).The risk of importing serious infections from Hajj has escalated since the emergence of the Middle East respiratory syndrome coronavirus(MERS-CoV)in Saudi Arabia and other neighbouring countries from September2012.Active surveillance of Hajj pilgrims in 2012 and 2013     

Comparison of airborne spore concentrations and fungal allergen content

The exposure to spores causing health effects is usually assessed by determining the concentration of viable spores per cubic meter of air (CFU/m³).Since allergens might also be present in dead spores or smaller particles, the objective of this study was to investigate the correlation between the viable spores of Alternaria and Cladosporium at different indoor and outdoor sites and the corresponding allergen concentration detected with a specially developed ELISA (Enzyme Linked Immunosorbent Assay). In outdoor air, the results show a strong correlation between the different sampling techniques applied for viable spores (Slit-Sampler and Multistage Liquid Impinger) and between the viable spores and the allergen concentrations detected in the liquid samples of the impingers. Indoors, the number of viable spores and the allergen concentration do not correlate and the allergen load is underestimated if colony counting methods are used. This revised version was published online in June 2006 with corrections to the Cover Date.     

Estimation of soil algal biomass in salinized irrigation land: a comparison of culture dilution and chlorophyll a extraction methods

Two representative methods for quantitative estimation of soil algae, the culture dilution method and chlorophyll a extraction, were compared using soil samples collected from irrigation land in the flood plain of the River Ili, Kazakhstan, where the distribution of soil algae had been studied in the previous year. The estimate by the culture dilution method was almost the same as in the previous year, except for one site, which was enclosed by shrubs of sakusaul, Haloxylon aphyllum (Minkw.) Iljin. The important role of wind in transport of airborne algal cells was pointed out. There was a significant correlation (p<0.001) between the logarithm of the number of colonies by the culture dilution method andthe logarithm of the concentration of chlorophyll a, when data from all samples were analyzed. However, no significant correlation was observed with the data of cropland sites alone. Furthermore, the seasonal variations of both values at each site did not necessarily agree with each other. One reason for the inconsistency may have been the over estimation of chlorophyll a caused by inclusion of litter from vascular plants. Other reasons may relate to differences between the methodologies. The density of soil algae estimated by culture dilution reflects the algal biomass in a certain previous period of time. Therefore, it is suggested that the method is suitable for spatial, but not for seasonal studies. This revised version was published online in August 2006 with corrections to the Cover Date.     

北京市三个功能区空气微生物中值直径及粒径分布特征

空气中微生物对人类健康的危害除了与微生物的种类和浓度有关外,还与微生物粒子的大小密切相关,并且不同粒径的空气微生物对人们健康影响的作用机理不同。通过定点试验调查,运用国产安德森生物粒子取样器着重研究北京市3个功能区(文教区-中国科学院生态环境研究中心所在区域、交通干线-西直门和公园绿地-北京植物园)空气微生物的中值直径和粒径分布。结果表明,不同功能区空气微生物的粒径分布相同,空气细菌,真菌与放线菌的粒径分布各不相同。空气细菌粒径呈偏态分布,空气真菌呈对数正态分布,空气放线菌的分布特征与空气真菌相反,主要分布在>8.2μm和<2.0μm级中。不同属真菌的粒径分布也不相同,枝孢属、青霉属和曲霉属呈对数正态分布,链格孢属和无孢菌为偏态分布。空气细菌的中值直径明显大于空气真菌和放线菌。交通干线和公园绿地空气细菌和真菌粒子中值直径明显大于文教区,放线菌粒子中值直径交通干线明显高于文教区和公园绿地。空气微生物中值直径在一年各月中没有明显的变化规律。     

空气微生物群落解析方法:从培养到非培养

随着世界范围内流行性疾病以及我国空气雾霾事件的不断发生,空气生物性污染的研究开始受到高度重视,其研究方法也随着分子生物学技术的快速发展而不断更新,由早期以生化技术为基础的研究方法转变为以现代分子生物学技术为基础的研究方法。综述了空气微生物群落多样性解析方法从培养到非培养的发展过程,包括培养技术法、BIOLOG技术、生物标记法、基因指纹图谱技术、核酸杂交技术、实时荧光定量PCR、空气微生物宏基因组学及基因芯片技术,阐述了这些技术的基本原理,比较了各种技术的优缺点并重点介绍了它们在空气微生物群落多样性研究中的应用概况,最后展望了空气微生物学研究的发展方向。     

A holistic approach to determine tree structural complexity based on laser scanning data and fractal analysis

The three‐dimensional forest structure affects many ecosystem functions and services provided by forests. As forests are made of trees it seems reasonable to approach their structure by investigating individual tree structure. Based on three‐dimensional point clouds from laser scanning, a newly developed holistic approach is presented that enables to calculate the box dimension as a measure of structural complexity of individual trees using fractal analysis. It was found that the box dimension of trees was significantly different among the tested species, among trees belonging to the same species but exposed to different growing conditions (at gap vs. forest interior) or to different kinds of competition (intraspecific vs. interspecific). Furthermore, it was shown that the box dimension is positively related to the trees’ growth rate. The box dimension was identified as an easy to calculate measure that integrates the effect of several external drivers of tree structure, such as competition strength and type, while simultaneously providing information on structure‐related properties, like tree growth.     

Is love in the air or at first sight? Mate finding cues used by sympatric male velvet ants (Hymenoptera: Mutillidae)

Mate finding has been examined in a wide range of hymenopteran families, with the greatest knowledge from social species and parasitoids used in pest management. Velvet ants (Hymenoptera: Mutillidae) provide a unique system to study mate finding because short‐lived flying males must find solitary, wingless females that have spatially and temporally dispersed emergence. Based on limited field observations, it is thought that male velvet ants may use visual, chemical, and vibratory cues for mate finding, though there have been no controlled experiments to test these hypotheses. Using choice experiments, this study aims to determine the role of visual and airborne chemical cues used in female detection by three sympatric species of Dasymutilla males. We find that visual cues are not used for initial female detection and that airborne chemicals are sufficient for female detection. We also discover that males readily approach females of different species, indicating airborne chemicals are not used for species recognition. Despite the lack of discrimination by males, we determined that the sympatric, morphologically similar species show no genetic introgression, and therefore some other isolating mechanism must be at play after males make initial contact with the females.     

Scaling up functional traits for ecosystem services with remote sensing: concepts and methods

Ecosystem service‐based management requires an accurate understanding of how human modification influences ecosystem processes and these relationships are most accurate when based on functional traits. Although trait variation is typically sampled at local scales, remote sensing methods can facilitate scaling up trait variation to regional scales needed for ecosystem service management. We review concepts and methods for scaling up plant and animal functional traits from local to regional spatial scales with the goal of assessing impacts of human modification on ecosystem processes and services. We focus our objectives on considerations and approaches for (1) conducting local plot‐level sampling of trait variation and (2) scaling up trait variation to regional spatial scales using remotely sensed data. We show that sampling methods for scaling up traits need to account for the modification of trait variation due to land cover change and species introductions. Sampling intraspecific variation, stratification by land cover type or landscape context, or inference of traits from published sources may be necessary depending on the traits of interest. Passive and active remote sensing are useful for mapping plant phenological, chemical, and structural traits. Combining these methods can significantly improve their capacity for mapping plant trait variation. These methods can also be used to map landscape and vegetation structure in order to infer animal trait variation. Due to high context dependency, relationships between trait variation and remotely sensed data are not directly transferable across regions. We end our review with a brief synthesis of issues to consider and outlook for the development of these approaches. Research that relates typical functional trait metrics, such as the community‐weighted mean, with remote sensing data and that relates variation in traits that cannot be remotely sensed to other proxies is needed. Our review narrows the gap between functional trait and remote sensing methods for ecosystem service management.