海洋纤毛虫实验生态学研究Ⅲ:纤毛虫摄食胁迫对弧菌(Vibrio sp.)种群增长的影响

为揭示纤毛虫对弧菌 (Vibriosp.)种群增长的影响 ,利用实验生态学方法对弧菌在海水养殖水体中两种常见的纤毛虫原生动物 ,扇形游仆虫 (EuplotesvannusM櫣ｌｌｅｒ)和海洋尾丝虫 (UronemamarinumDujardin) ,摄食胁迫下的种群增长过程进行了探讨 .数据分析显示 ,弧菌的种群密度在纤毛虫的指数增长期高于对照组 ,但在纤毛虫种群生长平衡期则显著低于对照组 (P <0 .0 5 ) ,在纤毛虫种群生长衰退期则呈回升的趋势 .结果同时还表明 ,海洋纤毛虫的摄食胁迫对弧菌的繁殖具有明显的激活效应 ,但对其种群生长起着显著的抑制作用 .此外 ,本工作也进一步证实了食菌性纤毛虫对改良水质和维持一个健康的养殖环境所具有的积极作用 .图 6参 15     

Ecohydrological impact–assessment modeling: an example for terrestrial ecosystems in Noord-Holland, the Netherlands

In the Netherlands the increasing demand for ecohydrological models on a regional (provincial) scale has resulted in the development of an empirical statistical impact–assessment model for semi-natural terrestrial herbaceous ecosystems. This model, called ITORS, describes the relationship between plant species and site factors such as soil, groundwater and management. The model, developed for the region of Noord-Holland, is applied to support provincial policy on soil and water management. The empirical statistical approach required the collection of a large set of field data, describing the biotic and environmental variation of a variety of semi-natural terrestrial ecosystems in Noord-Holland. These data were used to calculate species response models with help of logistic regression, resulting in significant models for 130 out of 144 species. Significant species response models were incorporated in the computer program ITORS. With help of ITORS the effect of various management scenarios can be easily evaluated, which is demonstrated by an example. This revised version was published online in July 2006 with corrections to the Cover Date.     

One independent variable rate equation describing utilization of biodegradable organic matter in activated sludge processes

This investigation aims to represent aerobic utilization of biodegradable organic matter present in wastewater by a rate equation. This rate equation can then be used to develop a substrate utilization (removal) kinetic model for unsteady state activated sludge process. To achieve this objective, theoretical utilization of biodegradable organic matter in batch process and growth pattern theory were studied. Also, experimental data representing removal of organic matter in different types of wastewaters were collected and analyzed for batch and continuous activated sludge assays. A rate equation was proposed to describe the utilization of biodegradable organic matter based on theoretical analysis of batch process. This rate equation was then verified through differential and integral analysis of the experimental data. Furthermore, a substrate kinetic model for batch and continuous processes was developed. The developed rate equation will facilitate the analysis and design of sequencing batch reactor (SBR) technology for biological treatment of wastewater.     

The role of life histories and trophic interactions in population recovery

Factors affecting population recovery from depletion are at the focus of wildlife management. Particularly, it has been debated how life‐history characteristics might affect population recovery ability and productivity. Many exploited fish stocks have shown temporal changes towards earlier maturation and reduced adult body size, potentially owing to evolutionary responses to fishing. Whereas such life‐history changes have been widely documented, their potential role on stock's ability to recover from exploitation often remains ignored by traditional fisheries management. We used a marine ecosystem model parameterized for Southeastern Australian ecosystem to explore how changes towards “faster” life histories might affect population per capita growth rate r. We show that for most species changes towards earlier maturation during fishing have a negative effect (3–40% decrease) on r during the recovery phase. Faster juvenile growth and earlier maturation were beneficial early in life, but smaller adult body sizes reduced the lifetime reproductive output and increased adult natural mortality. However, both at intra‐ and inter‐specific level natural mortality and trophic position of the species were as important in determining r as species longevity and age of maturation, suggesting that r cannot be predicted from life‐history traits alone. Our study highlights that factors affecting population recovery ability and productivity should be explored in a multi‐species context, where both age‐specific fecundity and survival schedules are addressed simultaneously. It also suggests that contemporary life‐history changes in harvested species are unlikely to increase their resilience and recovery ability.     

Human Migration,Protected Areas,and Conservation Outreach in Tanzania

A recent discussion debates the extent of human in‐migration around protected areas (PAs) in the tropics. One proposed argument is that rural migrants move to bordering areas to access conservation outreach benefits. A counter proposal maintains that PAs have largely negative effects on local populations and that outreach initiatives even if successful present insufficient benefits to drive in‐migration. Using data from Tanzania, we examined merits of statistical tests and spatial methods used previously to evaluate migration near PAs and applied hierarchical modeling with appropriate controls for demographic and geographic factors to advance the debate. Areas bordering national parks in Tanzania did not have elevated rates of in‐migration. Low baseline population density and high vegetation productivity with low interannual variation rather than conservation outreach explained observed migration patterns. More generally we argue that to produce results of conservation policy significance, analyses must be conducted at appropriate scales, and we caution against use of demographic data without appropriate controls when drawing conclusions about migration dynamics. La Migración Humana, Áreas Protegidas y el Alcance de la Conservación en Tanzania     

Environment-specific elasticity and sensitivity analysis of the stochastic growth rate

For matrix population models, analyses of how sensitive the population growth rate is to changes in vital rates (i.e. perturbations) are important for studies of life history evolution as well as for management and conservation of threatened species. There are two types of sensitivity analyses corresponding to absolute (sensitivity) or relative (elasticity) changes in the vital rates and both types can be applied to both deterministic and stochastic matrix population models. To date, most empirical studies of elasticity and sensitivity of the stochastic growth rate have examined the response to perturbations in the vital rates in a complete set of possible environments. However, it is often of interest to examine the response to perturbations occurring in only a subset of the possible environments. This has been done for periodic time-varying models elsewhere, but here we describe a recently published method for calculating the environment-specific sensitivity and elasticity of the stochastic growth rate and apply this method to data. These environment-specific perturbation analyses provide a logical way of dividing the sensitivity and elasticity among the environments. They give important insight into the selection regime in different environments and can provide valuable information for making management decisions and management evaluations in stochastic environments.     

湿害处理对不同生育时期芝麻叶片保护酶活性和种子产量的影响

对蕾期、盛花期和终花期的芝麻品种进行了24～60 h的湿害处理.测定了叶片保护酶(POD、SOD、CAT)、植株萎蔫率、死株率等14个性状.结果表明,蕾期和盛花期芝麻叶片中保护酶SOD、POD和CAT活性随着湿害处理时间的延长均呈先升后降的趋势,品种间存在差异.蕾期和盛仡期湿害处理对芝麻生长速率、植株萎蔫率和死株牢影响较大,尤以盛花期最为严重.3个生育时期的芝麻品种受湿害处理后均蒴果数减少、种子产量降低、根系早衰甚至烂根.芝麻叶片保护酶活性与植株萎蔫率、死株率旱显著或极显著负相关,与生长速率、有效蒴果数等9个考察性状呈正相关,且大部分相关系数达到显著或极显著水平.综合各项考察指标,湿害处理对芝麻盛花期影响最为严重,K36 h是多项指标发生急剧变化或转折的敏感时间,湿害后的表现型性状变化趋势与叶片保护酶活性变化趋势在品种间基本一致.图4表1参23     

Meter-scale variation within a single transect demands attention to taxon accumulation curves in riverine microbiome studies

● Riverine microbiomes exhibited hyperlocal variation within a single transect. ● Certain family-level taxa directionally associated with river center and bank. ● Taxon accumulation curves within a transect urges more nuanced sampling design. Microbial communities inhabiting river ecosystems play crucial roles in global biogeochemical cycling and pollution attenuation. Spatial variations in local microbial assemblages are important for detailed understanding of community assembly and developing robust biodiversity sampling strategies. Here, we intensely analyzed twenty water samples collected from a one-meter spaced transect from the near-shore to the near-center in the Meramec River in eastern Missouri, USA and examined the microbial community composition with 16S rRNA gene amplicon sequencing. Riverine microbiomes across the transect exhibited extremely high similarity, with Pearson’s correlation coefficients above 0.9 for all pairwise community composition comparisons. However, despite the high similarity, PERMANOVA revealed significant spatial differences between near-shore and near-center communities (p = 0.001). Sloan’s neutral model simulations revealed that within-transect community composition variation was largely explained by demographic stochasticity (R² = 0.89). Despite being primarily explained by neutral processes, LefSe analyses also revealed taxa from ten families of which relative abundances differed directionally from the bank to the river center, indicating an additional role of environmental filtering. Notably, the local variations within a river transect can have profound impacts on the documentation of alpha diversity. Taxon-accumulation curves indicated that even twenty samples did not fully saturate the sampling effort at the genus level, yet four, six and seven samples were able to capture 80% of the phylum-level, family-level, and genus-level diversity, respectively. This study for the first time reveals hyperlocal variations in riverine microbiomes and their assembly mechanisms, demanding attention to more robust sampling strategies for documenting microbial diversity in riverine systems.     

人力资本积累、企业创新与中等收入陷阱

中国经济长期向好的基本面虽未改变,但2010年以来经济增速不断回落,一些阻碍经济可持续发展的不利因素不断积累,落入"中等收入陷阱"的风险有所上升。揭示中等收入陷阱的产生机制,显然对于政府形成规避中等收入陷阱的有效政策具有重要意义。本文根据社会再生产理论,建立了"世代交叠"模型,对中等收入陷阱的产生机制作出理论解释,并运用中国1998—2014年各地区经济数据进行了验证,结果表明:(1)人力资本积累和企业创新会在不同程度上促进经济增长,并且二者存在协同效应;(2)上中等层次人力资本积累与企业创新的协同效应可以带动经济增长;(3)下中等层次人力资本与企业创新的协同效应对经济增长的作用不显著。这意味着现阶段中国经济发展不仅应注重人力资本量的积累,更要保证质的提升。基于此,应从下三个方面着手推动中国经济实现中高速增长:(1)着力提升科技创新能力,科学构建产权保护法律体系,促进形成企业家倡导企业科研创新的机制,激发企业创新的主观能动性,维护创新企业对于运用和转让科研成果的合法权益;(2)着力培育高素质人才的教育体系,稳步提升高等教育入学率和办学质量,鼓励教育培训机构适度创新,推动培训方式项目化,针对岗位需求扩充劳动者知识和技术储备;(3)着力降低初中及以下人口的规模与比例,延长义务教育年限,鼓励优质教育资源向不发达地区适度转移,关注偏远地区贫困人群的入学情况,努力为穷人提供公平发展的机会。