Using environmental and geographic data to optimize ex situ collections and preserve evolutionary potential

Maintenance of biodiversity through seed banks and botanical gardens, where the wealth of species’ genetic variation may be preserved ex situ, is a major goal of conservation. However, challenges can persist in optimizing ex situ collections if trade-offs exist among cost, effort, and conserving species evolutionary potential, particularly when genetic data are not available. We evaluated the genetic consequences of population preservation informed by geographic (isolation by distance [IBD]) and environmental (isolation by environment [IBE]) distance for ex situ collections for which population provenance is available. We used 19 genetic and genomic data sets from 15 plant species to assess the proportion of population genetic differentiation explained by geographic and environmental factors and to simulate ex situ collections prioritizing source populations based on pairwise geographic distance, environmental distance, or both. Specifically, we tested the impact prioritizing sampling based on these distances may have on the capture of neutral, functional, or putatively adaptive genetic diversity and differentiation. Individually, IBD and IBE explained limited population genetic differences across all 3 genetic marker classes (IBD, 10–16%; IBE, 1–5.5%). Together, they explained a substantial proportion of population genetic differences for functional (45%) and adaptive (71%) variation. Simulated ex situ collections revealed that inclusion of IBD, IBE, or both increased allelic diversity and genetic differentiation captured among populations, particularly for loci that may be important for adaptation. Thus, prioritizing population collections based on environmental and geographic distance data can optimize genetic variation captured ex situ. For the vast majority of plant species for which there is no genetic information, these data are invaluable to conservation because they can guide preservation of genetic variation needed to maintain evolutionary potential within collections.     

Association of extinction risk of saproxylic beetles with ecological degradation of forests in Europe

To reduce future loss of biodiversity and to allocate conservation funds effectively, the major drivers behind large‐scale extinction processes must be identified. A promising approach is to link the red‐list status of species and specific traits that connect species of functionally important taxa or guilds to resources they rely on. Such traits can be used to detect the influence of anthropogenic ecosystem changes and conservation efforts on species, which allows for practical recommendations for conservation. We modeled the German Red List categories as an ordinal index of extinction risk of 1025 saproxylic beetles with a proportional‐odds linear mixed‐effects model for ordered categorical responses. In this model, we estimated fixed effects for intrinsic traits characterizing species biology, required resources, and distribution with phylogenetically correlated random intercepts. The model also allowed predictions of extinction risk for species with no red‐list category. Our model revealed a higher extinction risk for lowland and large species as well as for species that rely on wood of large diameter, broad‐leaved trees, or open canopy. These results mirror well the ecological degradation of European forests over the last centuries caused by modern forestry, that is the conversion of natural broad‐leaved forests to dense conifer‐dominated forests and the loss of old growth and dead wood. Therefore, conservation activities aimed at saproxylic beetles in all types of forests in Central and Western Europe should focus on lowlands, and habitat management of forest stands should aim at increasing the amount of dead wood of large diameter, dead wood of broad‐leaved trees, and dead wood in sunny areas.     

湖泊水环境保护功能区划分

在浓度场基础上，利用总磷、总氮和ＣＯＤ三项指标的综合指数法，结合管理部门提供的资料，划分了滇不不环境保护功能区，给出了划分指标值及功能区划分图。     

The apportionment of quadratic entropy: a useful alternative for partitioning diversity in ecological data

Many methods that study the diversity within hierarchically structured populations have been developed in genetics. Among them, the analysis of molecular variance (AMOVA) (Excoffier et al., 1992) has the advantage of including evolutionary distances between individuals. AMOVA is a special case of a far more general statistical scheme produced by Rao (1982a; 1986) and called the apportionment of quadratic entropy (APQE). It links diversity and dissimilarity and allows the decomposition of diversity according to a given hierarchy. We apply this framework to ecological data showing that APQE may be very useful for studying diversity at various spatial scales. Moreover, the quadratic entropy has a critical advantage over usual diversity indices because it takes into account differences between species. Finally, the differences that can be incorporated in APQE may be either taxonomic or functional (biological traits), which may be of critical interest for ecologists.     

The impact of urban planning on land use and land cover in Pudong of Shanghai,China

Functional zones in cities constitute the most conspicuous components of newly developed urban areas,and have been a hot spot for domestic and foreign investors in China,which not only show the expanse of urban space accompanied by the shifts both in landscape(from rural to urban)and land use(from less extensive to extensive),but also display the transformation of regional ecological functions.By using the theories and methods of landscape ecology,the structure of landscapes and landscape ecological planning can be analyzed and evaluated for studying the urban functional zones‘layout.In 1990,the Central Govermment of China declared to develop and open up Pudong New Area so as to promote economic development in Shanghai.Benefited from the advantages of Shanghai‘s location and economy,the government of Pudong New Area has successively built up 7 different functional zones over the past decade according to their functions and strategic goals.Based on the multi-spectral satellite imageries taken in 1990,1997and 2000,a landscape ecolgy analysis was carried out for Pudong New Area of Sanghai ,supported by GIS technology.Green space(including croplands )and built-up areas are the major factors considered in developing urban landscape.This paper was mainly concerned with the different spatial patterns and dynamics of green space,built-up areas and new buildings in different functional zones,as influenced by different spatial patterns and dynamics of green space,built-up areas and new buildings in different functional zones,as influenced by different functional layouts and development strategies.The rapid urbanization in Pudong New Area resulted in a more homogeneous landscape.Agricultural landscape and suburban landscape were gradually replaced by urban landscape as the degree of urbanization increased.As a consequence of urbanization in Pudong,not only built-up patches,but also newly-built patches and green patches merged into one large patch,which should be attributed to the construction policy of extensive green space as the urban development process in Pudong New Area.The shape of green area of 7 functional zones became more and more regular because of the horticultural needs in Shanghai urban planning.Some suggestions were finally made for the study of future urban planning and layout.     

新型树脂对氯酚类物质的吸附研究

合成了乙酰氯修饰树脂NDA-O,与Purolite公司的MN-200相比,合成的树脂比表面积较小,但酸性官能团较多.用两种树脂吸附2-氯酚、4-氯酚和2,4-二氯酚发现,吸附结果可以用Langmuir和Freundlich等温吸附方程很好地模拟,合成的NDA-O对3种氯酚类物质的吸附能力优于MN-200.两种树脂对氯酚类物质的吸附量随着温度的升高而减少,表明吸附是放热过程,同时对氯酚类物质的吸附焓变随着吸附量的增大而减小.对同一种树脂来说,吸附量随着氯代程度的增加而增加,取代氯数相同的时候,吸附量与吸附质的K..成正相关.进一步研究了pH对吸附的影响,在pH大于9时,3种氯酚类物质的吸附量均急剧减少.     

滇池水中细菌和古菌氮代谢功能基因的空间分布

氮代谢在滇池水生态系统氮素循环和转化过程中起到重要的作用,不仅真核生物参与氮素转化,原核生物作为氮素循环的主要驱动者,在氮素生物化学循环中的作用更不容忽视.基于16S rDNA高通量测序技术,监测滇池草海和外海区域13个点位,分析滇池水中原核生物氮循环功能关键基因的分布特征.结果发现,滇池水中细菌35门, 427属,主要以变形菌门和拟杆菌门为优势门类;古菌14门, 61属,主要以广古菌门为优势门类;β多样性指数显示滇池整体细菌丰富度指数高于古菌,草海细菌多样性指数高于外海.PICRUSt功能解析表明细菌和古菌具有功能上的丰富性,细菌中有35个参与氮代谢的KO通路,涉及氮异化硝酸盐还原基因nirB、一氧化氮还原酶基因norB和硝酸还原酶基因nasK等关键基因;古菌中有23个参与氮代谢的KO通路,涉及固氮酶基因nifH、nifK和nifD,古菌固氮酶基因拷贝数显著高于其它氮代谢基因,草海中古菌氮代谢能力整体高于外海,滇池水中古菌比细菌固氮潜能更大.本研究从原核生物氮循环中功能基因的角度,探讨滇池不同区域水中细菌和古菌氮循环差异,为进一步揭示氮循环机制,解决氮素污染引起的富营养化提供理论参考.     

低温下丝状菌膨胀污泥的微生物多样性

为探究低温下丝状菌污泥膨胀过程中微生物多样性的变化特征,实验采用低温-SBR反应器成功诱发污泥膨胀,并借助Illumina MiSeq高通量测序技术,考察了不同沉降性能下活性污泥微生物群落的整体变化特征、各特定菌群及特定菌属的变化特征.结果表明,在系统运行温度降至(14±1)℃后可成功诱发丝状菌污泥膨胀,SVI可恶化至663.99 mL·g~(-1),且膨胀后COD去除率和TN去除率仍能维持在90%和86%左右.低温下污泥膨胀的发生不仅会导致系统内微生物整体多样性和均一性的降低,使特定菌群中丝状菌群的丰度由0.49%增至26.04%,还会使脱氮菌群的丰度由21.04%减少至13.99%、除磷菌群的丰度由4.25%减少至1.93%.发现的5种丝状菌属中,以Thiothrix为代表的3种菌属的丰度递增,仅Haliscomenobacter的丰度递减;发现的19种脱氮菌属中,以Nitrosomonas为代表的5种菌属的丰度递增,以Nitrospira为代表的7种菌属的丰度递减;发现的8种除磷菌属中,Pseudomonas和Tetrasphaera的丰度递增,以Candidatus_Competibacter为代表的5种菌属的丰度递减.虽然污泥膨胀对微生物菌群结构产生较大影响,但不同泥样中始终存在的477个OTUs和227个菌属说明膨胀过程中反应器内主体微生物仍呈相对稳定状态.     

济南市水域鱼类功能群结构及其季节性变化

鱼类对于维护河流生态系统的稳定具有重要作用,季节性变化在一定程度上影响鱼类的群落结构.为了解济南市水域鱼类的功能群结构及其季节性差异,于2014年春季（5月）、夏季（8月）和秋季（11月）选取济南市水域的40个采样点对鱼类群落和水环境理化因子,通过单因素方差分析、多响应置换过程以及典范对应分析等方法,分析鱼类功能群在不同季节的差异性.结果表明:①春季共鉴定出鱼类5目7科26种,夏季为5目9科32种,秋季为5目7科20种.将鱼类按栖息水层、产卵类型、对环境的耐受性以及营养结构4个方面分为4种功能类群共11亚类.春季主要以植食性、底层与敏感种功能群为主,夏季主要以肉食性、中下层、耐污种、特殊产卵与粘性卵功能群为主,秋季主要以杂食性、浮性卵、中上层、耐污种功能群为主.②典范对应结果显示,影响粘性卵功能群、肉食性功能群、底层功能群以及敏感种功能群分布的驱动因子是ρ（DO）,电导率则是影响植食性功能群的驱动因子.研究显示,鱼类功能群的季节性变化受到内源性和外源性的共同影响,即鱼类自身生活习性和水环境因子季节性变化的共同影响.      

基于GIS格网化分析支撑的旅游空间规划技术方法研究——以青岛市为例

空间规划是支撑旅游地发展规划的核心章节,目前主要依靠规划者经验判断,主观性较强,缺乏客观方面的信息数据支持。论文将GIS格网化与旅游资源评价模型相结合,提出了旅游资源单体采集、旅游资源格网化及其空间分析方法,并融合旅游资源群评价模型、旅游功能区识别模型、旅游线路和空间发展轴线识别模型予以支撑,形成了标准化的旅游资源采集、评价到空间识别的集成技术方法;并以青岛市为例,识别出了旅游资源集群及其发展潜力、旅游功能区和空间拓展轴线,确立了“一心、一带、三轴、五区”的空间发展格局。论文初步探讨了GIS格网化空间分析方法在区域旅游规划中的应用,能够补充传统定性评价方法客观性不足的缺陷,实现复杂旅游资源数据的单体评价、旅游资源集群评价、旅游功能区识别、旅游线路和空间发展轴线优选的系列化分析技术路线,可为延伸旅游规划深度、提高规划精度提供科学参考。