HEAVY METAL DISTRIBUTION AND SPECIATION IN THE NORTHERN ADRIATIC SEA

In the present study the concentrations of cobalt, copper, iron, manganese, zinc were analysed and the speciation of copper and zinc performed, with a summer and winter sampling, for two areas in the Northern Adriatic Sea and crossing at the farthest zones of the Po river-sea water interface. Results show that when salinity increases the concentrations of all investigated metals (with the exception of cobalt) present some degree of biogeochemical cycling. Copper is the element whose dissolved phase has the highest importance in metal transport across the salinity gradient. Results of speciation analysis demonstrate that the presence of excess amounts (5-8 fold) of unbound ligands confers a buffering capacity for potential inputs of dissolved metals into the Northern Adriatic Sea. The speciation of both copper and zinc in the dissolved phase was dominated by organic complexation.     

三峡水库支流回水区富营养化时空分布特征

为了解三峡水库175m水位蓄水后库区支流回水区富营养化现状,探索支流回水区富营养化时空变化规律,在三峡库区支流回水区开展了富营养化普查和监测。结果表明,库区支流总磷浓度为0.035~0.65 mg/L,平均浓度为0.157 mg/L,总氮浓度为0.681~5.690 mg/L,平均浓度为2.037mg/L,远远高于湖库水体出现富营养化的总磷和总氮临界浓度0.02、0.2 m g/L,库区支流营养盐条件适宜藻类生长。在每年4~9月的春季、盛夏和夏秋之交的非暴雨时段,当气温和光照适宜,支流回水核心区富营养化现象明显,出现藻类"疯长"的水华现象,但受气温变化影响明显,库区的富营养化现象仍是间歇的,局部的。     

邻苯二甲酸酯在松花江吉林段水体中的分布规律

邻苯二甲酸酯是一类含有苯环的有机污染物,易在生物体内富集,所以开展水体中邻苯二甲酸酯的分布规律研究至关重要。对松花江吉林段2008年3月份不同监测断面的水体进行监测,通过GC-MS定性分析和GC定量分析,确定该江段水体邻苯二甲酸酯类污染物的分布规律、污染状况与污染水平。研究结果表明,松花江吉林段水体中主要的邻苯二甲酸酯类污染物是邻苯二甲酸二丁酯和邻苯二甲酸二辛酯,其分布的总体趋势是更易存在于水相中。     

Development of an individual-based model to evaluate elk (Cervus elaphus nelsoni) movement and distribution patterns following the Cerro Grande Fire in north central New Mexico, USA

Though studies have modeled the effects of fires on elk, no studies have related the effects of post-fire landscape succession on ungulate movements and distribution using dynamic modeling techniques. The purpose of this study was to develop and test a spatially-explicit, stochastic, individual-based model (IBM) to evaluate potential movement and distribution patterns of elk (Cervus elaphus nelsoni) in relation to spatial and temporal aspects of the Cerro Grande Fire that burned north central New Mexico in May of 2000. Following extensive literature review, the SAVANNA Ecosystem Model was selected to simulate the underlying post-fire successional processes driving elk movement and distribution. Standard logisitic regression was used to analyze habitat-use patterns of ten elk from data collected using global positioning system radio collars while an additional five animals were used as an independent test set during model validation. Static variables in the form of roads, buildings, fences, and habitual use/memory were used to modify a map of impedance values based on the logistic regression of slope, aspect, and elevation. Integration with SAVANNA came through the application of a habitat suitability index (HSI), which combined movement rules written for the IBM and variables modified and produced by the dynamic ecological processes run in SAVANNA. Overall pattern analysis indicated that realistic migrational processes and habitat-use patterns emerged from movement rules incorporated into the IBM in response to advancing and receding snow when compared to the independent test set. Primary and secondary movement pathways emerged from the collective responses of simulated individuals. Using regression analyses, no significant differences between simulated animals and animals used in either model development or an independent test set revealed any differences in response to snow patterns. These considerations suggest the model was adequately corroborated based on existing data and outlined objectives.     

Community diversity and distribution of ammonia-oxidizing archaea in marsh wetlands in the black soil zone in North-east China

AOA amoA genes in the soils of the two wetlands affiliated with three lineages. The main drivers of AOA community were pH and total organic carbon and ammonium. The soil characteristics rather than the vegetation control the AOA community. Since its first detection, ammonia-oxidizing archaea (AOA) have been proven to be ubiquitous in aquatic and terrestrial ecosystems. In this study, two freshwater marsh wetlands- the Honghe wetland and Qixinghe wetland – in the black soil zone in North-east China were chosen to investigate the AOA community diversity and distribution in wetland soils with different vegetation and depth. In the Honghe wetland, two sampling locations were chosen as the dominant plant transited from Deyeuxia to Carex. In the Qixinghe wetland, one sample location that was dominated by Deyeuxia was chosen. Samples of each location were collected from three different depths, and Illumina MiSeq platform was used to generate the AOA amoA gene archive. The results showed that the AOA amoA genes in the soils of the two wetlands were affiliated with three lineages: Nitrososphaera, Nitrosotalea, and Nitrosopumilus clusters. The different dominant status of these AOA lineages indicated their differences in adapting to acidic habitat, oxygenic/hypoxic alternation, organic matter, and other environmental factors, suggesting high diversity among AOA in marsh soils. The main driver of the AOA community was pH, along with organic carbon and ammonium nitrogen, which also played an important role combined with many other environmental factors. Thus, soil physiochemical characteristics, rather than vegetation, were the main cause of AOA community diversity in the wetlands in the black soil zone in China.     

Occurrence,distribution and risk assessment of abused drugs and their metabolites in a typical urban river in north China

We developed a method for determining 11 abused drugs in water and sediment. METH and EPH were the dominant drugs in water and sediment in Beiyunhe River. Abuse drugs in Beiyunhe River were mainly from hospitals and sewage effluents. Abused drugs in the water would not impair the aquatic ecosystem biologically. This study investigated the presence of 11 abused drugs and their metabolites, including amphetamine, methamphetamine (METH), ketamine, ephedrine (EPH), cocaine, benzoylecgonine, methadone, morphine, heroin, codeine, and methcathinone in the surface water and sediment samples of Beiyunhe River, a typical urban river flowing through Beijing, Tianjin, and Hebei provinces in North China. An analytical method of determining these abused drugs and their metabolites in water and sediment was developed and validated prior to sample collection in the study area. Results showed that METH and EPH were predominant in water and sediment samples. The total drug concentrations ranged from 26.6 to 183.0 ng/L in water and from 2.6 to 32.4 ng/g dry weight in sediment, and the drugs mainly originated from hospitals and sewage treatment plants. The average field-based sediment water distribution coefficients of abused drugs were calculated between 149.3 and 1214.0 L/kg and corrected by organic carbon. Quotient method was used to assess the risks. The findings revealed that these drugs and their metabolites at determined concentrations in water samples will not impair the aquatic ecosystem biologically, but their potential harmful effect on the function of the ecosystem and human health should not be overlooked.     

Economic Development,Income Inequality and Environmental Degradation of Fisheries Resources in Mauritius

This article examines how environmental degradation of fisheries resources in the context of Mauritius is linked up with human investment in education, economic growth, and income inequality. Empirical evidence shows that public-sector investment in education promotes economic growth, but at the expense of greater inequality of income. Among the vulnerable groups affected by this type of development process lies the fisherman community. In fact, children of poor families in coastal Mauritius have constrained access to complete school education because of the persistently high opportunity cost involved. Hence, this community is caught up in a vicious circle, as its children or grandchildren would barely be redeployed elsewhere other than in the fisheries sector itself. Such exclusion might account for the overexploitation of marine resources of the island and the accompanying reduction in fish catch over recent years.*(Paper presented at the Third Research and Training Workshop of the Resource Accounting Network for Eastern and Southern Africa (RANESA), University of Pretoria (Funded by SIDA, Sweden), held in Mauritius, Nov 2000. I am grateful to the participants for their helpful suggestions. Needless to say, the usual disclaimer applies). Published online     

A new method for predicting vegetation distributions using decision tree analysis in a geographic information system

Decision tree analysis was used to predict the distribution of forest communities in an area on the south coast of New South Wales, Australia. The analysis was carried out using a geographical information system environmental data base of those topographic and geological variables thought to influence the distribution of vegetation and derived from cartographic sources. The resulting maps of forest communities are of a resolution sufficient to delimit individual forest stands and contain much ecological information.