Distribution of radionuclides among the main components of Lake Chervyanoe in the Eastern Ural Radioactive Trace

Radioecological conditions have been estimated in Lake Chervyanoe located on the central axis of the Eastern Ural Radioactive Trace (EURT) about 100–110 km northeast of the Mayak Production Association. Data on the ⁹⁰Sr and ¹³⁷Cs contents in the main components of the lake, the distribution of these radionuclides over the profile of bottom sediments, and their amounts in the lake are presented. The experimental data have been used to construct mathematical models for estimating changes in the radionuclide concentrations and amounts in the water and bottom sediments of the lake over a long period after the nuclear accident, as well as the tritium content of the lake water in different periods of time.     

Recent Levels of Radionuclide Contamination in the Eastern Ural Radioactive Trace and Biological Effects in Local Populations of <Emphasis Type="Italic">Plantago major</Emphasis> L.

The results of the study have shown that the stocks of ⁹⁰Sr and ¹³⁷Cs in the frontal part of the EURT are 6700–15000 and 200–400 kBq/m², respectively. The coefficients of their accumulation in different herbaceous plant species in this impact zone are lower than in other areas. The accumulative capability of plants has probably decreased in the course of selection as an adaptation to the effect of radiation. The viability and growth parameters of Plantago major L. seeds from the EURT zone are similar to those of seeds from the background sample. Cenopopulations chronically exposed to radiation are characterized by a higher mutation rate in the progeny and an unstable response to additional acute irradiation in most characters studied. A high level of inbreeding is observed in all P. major cenopopulations of plantain. The cenopopulation of the impact zone is characterized by a lower variation of allozyme loci, which may be a result of stringent selection for individuals better adapted to the complex of conditions existing in its habitat.     

Using Modeling to Improve Monitoring of Structured Populations: Are We Collecting the Right Data?

Abstract:  Population monitoring is central to most demographic studies and conservation efforts, but it may not always be directed at the most appropriate life stage. We used stochastic simulation modeling to evaluate the effectiveness of a monitoring program for a well-studied population of Eastern Imperial Eagles ( Aquila heliaca ) in Kazakhstan. Specifically, we asked whether the most appropriate data were being collected to understand system state and population dynamics. Our models were parameterized with data collected over the course of 25 years of study of this population. We used the models to conduct simulation experiments to evaluate relationships between monitored or potentially monitored parameters and the demographic variables of interest—population size ( N ) and population growth (λ). Static analyses showed that traditional territory-based monitoring was a poor indicator of eagle population size and growth and that monitoring survivorship would provide more information about these parameters. Nevertheless, these same traditionally monitored territory-based parameters had greater power to detect long-term changes in population size than did survivorship or population structure. Regardless of the taxa considered, threats can have immediate impacts on population size and growth or longer-term impacts on population dynamics. Prudently designed monitoring programs for any species will detect the demographic effects of both types of threats.     

A simple approach to modeling microbial biomass in the rhizosphere

Microorganisms make an important contribution to the degradation of contaminants in bioremediation as well as in phytoremediation. An accurate estimation of microbial concentrations in the soil would be valuable in predicting contaminant dissipation during various bioremediation processes. A simple modeling approach to quantify the microbial biomass in the rhizosphere was developed in this study. Experiments were conducted using field column lysimeters planted with Eastern gamagrass. The microbial biomass concentrations from the rhizosphere soil, bulk soil, and unplanted soil were monitored for six months using an incubation–fumigation method. The proposed model was applied to the field microbial biomass data and good correlation between simulated and experimental data was achieved. The results indicate that plants increase microbial concentrations in the soil by providing root exudates as growth substrates for microorganisms. Since plant roots are initially small and do not produce large quantities of exudates when first seeded, the addition of exogenous substrates may be needed to increase initial microbial concentrations at the start of phytoremediation projects.     

矿产资源开发的生态地质环境风险研究——以甘孜州东部为例

甘孜州东部是我国矿产资源富集区和生态地质环境脆弱区之一,生态地质环境承载力呈现出南优北差、西优东差的格局。据矿业历史及现状影响,建立承载力—矿业活动关系模式,将承载力分为正荷载、等荷载和超荷载三种状态。采用生态地质环境危险性与潜在损失承载体求积运算的方式获取风险值,并进行四级风险区划。风险空间分布大体呈现出东高西低、北高南低的形态,矿业活动区及其缓冲区、小流域、大流域都处于风险联动的系统内,风险区划与承载力区划成正相关关系。针对生态地质环境风险提出加强小矿有序开发、加强勘查和开发过程管理、提高矿产资源利用效率、构建监测系统和加强矿山环境问题治理等应对措施。     

崇明岛东部不同年代围垦区土壤有机质组成变化研究

在崇明岛东部不同年代围垦区选择4个典型部位的钻孔样品,应用热裂解气相色谱质谱联用技术(Py-GC-MS),取得土壤有机质热裂解产物的类型与相对含量,从分子层面探究埋藏盐沼土壤有机质组成特征,研究土壤有机质稳定性随时间的变化规律.结果表明,自西向东4个钻孔的样品(CM2、CM4、CM5、CM6)中,分别检测到53、80、...     

东洞庭湖保护区1989～1998年水禽栖息地动态研究

栖息地的改变是全球生物多样性存在的最大威胁。利用卫星遥感技术和地理信息系统的空间分析功能,从景观尺度上研究了东洞庭湖自然保护区1989～1998年越冬水禽栖息地的动态变化特征,结果表明:1989～1998年水体、泥滩地、草滩地和水田等水禽适宜栖息地的面积在减小,破碎化程度有所增加,而芦苇滩地、旱地、林地、建成区这几类水禽分布较少栖息地类型的面积和破碎化程度的变化正好相反;近10年来水禽栖息地的变化比较明显,其中草滩地演变为芦苇滩地及水田改为旱作农田的变化最为突出,变化的面积分别占整个保护区面积的10.66%和6.13%。这些变化趋势意味着研究区近10年来水禽的适宜栖息地在退化。针对变化的原因,论文还对该区域生物多样性的保护与栖息地管理提出了可行的建议。     

扬子型铜矿床矿物稀土元素地球化学

本文较系统研究了扬子型铜矿床中有代表性的菱铁矿、胶黄铁矿、黄铁矿、磁黄铁矿、磁铁矿、黄铜矿及部分脉石矿物的稀土元素组成及特征，总结了展状矿石中和矽卡岩矿石中矿物稀土元素组成的特点及二者之间存在的明显差别，从一个方面探索扬子型铜矿床的成因。     

The effect of protected areas on forest disturbance in the Carpathian Mountains 1985–2010

Protected areas are a cornerstone for forest protection, but they are not always effective during times of socioeconomic and institutional crises. The Carpathian Mountains in Eastern Europe are an ecologically outstanding region, with widespread seminatural and old‐growth forest. Since 1990, Carpathian countries (Czech Republic, Hungary, Poland, Romania, Slovakia, and Ukraine) have experienced economic hardship and institutional changes, including the breakdown of socialism, European Union accession, and a rapid expansion of protected areas. The question is how protected‐area effectiveness has varied during these times across the Carpathians given these changes. We analyzed a satellite‐based data set of forest disturbance (i.e., forest loss due to harvesting or natural disturbances) from 1985 to 2010 and used matching statistics and a fixed‐effects estimator to quantify the effect of protection on forest disturbance. Protected areas in the Czech Republic, Slovakia, and the Ukraine had significantly less deforestation inside protected areas than outside in some periods; the likelihood of disturbance was reduced by 1–5%. The effectiveness of protection increased over time in these countries, whereas the opposite was true in Romania. Older protected areas were most effective in Romania and Hungary, but newer protected areas were more effective in Czech Republic, and Poland. Strict protection (International Union for Conservation of Nature [IUCN] protection category Ia‐II) was not more effective than landscape‐level protection (IUCN III‐VI). We suggest that the strength of institutions, the differences in forest privatization, forest management, prior distribution of protected areas, and when countries joined the European Union may provide explanations for the strikingly heterogeneous effectiveness patterns among countries. Our results highlight how different the effects of protected areas can be at broad scales, indicating that the effectiveness of protected areas is transitory over time and space and suggesting that generalizations about the effectiveness of protected areas can be misleading.