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白洋淀水生食物链BHC、DDT生物浓缩分析   总被引:39,自引:7,他引:32  
窦薇  赵忠宪 《环境科学》1997,18(5):41-43
为了评价BHC和DDT在水生食物链的生物累积放大效应,对白洋淀地区端村水域生态系统水生生物对六六六、DDT的富集沿食物生物营养等级而递增的规律性较强(当年生鲫鱼例外),水体,底泥水生维管束植物,浮游动物、底栖动物,当年生鲫鱼及2龄乌鳢体内六六六残留量分别为:0.3μg/L,0.7μg/kg,19.0μg/kg,30.0μg/kg,60.9μg/kg,17.2μg/kg、110.7μg/kg,DDT  相似文献   
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The role of zooplankton in a tropical seagrass ecosystem was investigated in milkfish farms pollution-impacted and -unimpacted seagrass beds in Santiago Island coral reefs, Northwestern Philippines. The aim was to compare between the two sites: (1) abiotic factors and zooplankton community parameters, and (2) the trophic structure using C and N stable isotopes. Low water (98–119?mV) and sediment (–121 to ?138?mV) Oxidation Reduction Potential values indicated a reducing environment in the impacted site. Zooplankton in the impacted site showed the typical community response to eutrophication (low diversity, but high total abundance due to the dominance of the cyclopoid copepod Oithona oculata), generally few elevated δ15N values, but a significant shift towards depleted 13C due to the organic enrichment of fish-farm feeds. Apart from suggesting a highly complex food web with POM and zooplankton as main food sources in the unimpacted site, the Bayesian mixing model simulation generated reduced complexity in feeding interactions between basal sources, zooplankton, and fish including adults of a key fish species, Siganus fuscescens, in the impacted sites. In this study, C and N stable isotope analysis has clarified the importance of zooplankton as fish prey in a seagrass bed food web.  相似文献   
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为了准确定量生态系统尺度下持久性有机污染物(POPs)的直接毒性效应和通过食物网传递的间接生态效应,建立POPs浓度与生态效应的量化关系,本研究以强人为干扰湖泊白洋淀为研究区,建立了湖泊底栖-浮游耦合食物网,运用AQUATOX模型评价典型POPs——多溴联苯醚(PBDEs)的水生态系统风险,判定关键浓度阈值。模型校正结果表明,该模型能够充分模拟白洋淀中18个优势种群生物量的季节变化过程;敏感性分析结果表明该模型对温度和呼吸速率参数敏感;风险评价的结果表明AQUATOX模型能够有效的评估PBDEs的直接毒性效应和间接生态效应,AQUATOX模型得到的最大无影响效应浓度(NOEC)要比实验室中的NOEC低1~2个数量级。因此,在自然生态系统中PBDEs的生态风险难以根据单一种群的毒性数据进行外推,而AQUATOX模型成为自然生态系统中PBDEs风险评价的可靠方法,能够判定在"可接受风险"水平时污染物的浓度阈值。AQUATOX模型为污染物环境基准的制定提供了较为可行的方法,进而为化学污染物的早期预警和风险管理提供决策依据。  相似文献   
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Changes in marine ecosystems can be manifested in many different ways, on different temporal and spatial scales. Seabirds are top consumers in marine foodwebs and offer opportunities to detect and assess the biological effects of changes in physical parameters (sea-surface temperature [SST], salinity, depth of thermocline etc.) of the marine ecosystem. We compare six-eight years' of data on the biology (diet, and breeding success) of four species of seabird (arctic tern Sterna paradisaeaand common tern S. hirundo, which feed at the sea surface; and Atlantic puffin Fratercula arctica and razorbill Alca torda, which dive 30–60 m for their prey) breeding on Machias Seal Island (MSI) in the Bay of Fundy with both our own meteorological and oceanographic measurements, and with standard measurements from conventional sources. These are compared with fisheries data on changes in the main prey of all the seabirds concerned (juvenile or 0-group herring Clupea harengus) which are the most direct link between the seabirds and the physical properties of the marine system. We explore relationships between seabird productivity and diet, and other aspects of both herring biology (larval surveys, and fat content) and oceanography (SST data from the island, and remotely sensed data from the entrance to the Bay of Fundy). Timing of laying by puffins followed SST variation at neither the local (MSI) nor regional scales, but at the scale of the North Atlantic, following the trend of populations breeding off northern Norway. The proportion of herring in the diet of terns over 6 years varied inversely with herring larval abundance the previous fall; this relationship was not statistically significant in the puffin and razorbill. A major new finding is the considerable (50%) inter-annual variation in the energy density (fat content) of juvenile herring that are the main seabird prey; breeding success of both species of tern varied in parallel with the energy density of juvenile herring in the diet until the last two years of the study, when sandlance (Ammodytes sp.) and euphausid shrimp predominated in the diet. Our long-term research approach combines traditional population monitoring (of numbers of breeding birds) with demographic, behavioural and environmental monitoring, to provide new understanding of the marine ecosystem as well as of seabirds.  相似文献   
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This work exemplifies how a given lake (Lake Huljesjön, Sweden) would likely respond to changes in pH-values and to liming (a standard measure against anthropogenic acidification). The basic questions are: How would a liming influence pH? How long would the changes last? How would the changes influence the structure and function of lake ecosystems? The work uses a comprehensive lake ecosystem model, LakeWeb, which accounts for production, biomasses, predation, abiotic/biotic interactions of nine key functional groups of organisms, phytoplankton, bacterioplankton, two types of zooplankton (herbivorous and predatory), two types of fish (prey and predatory), zoobenthos, macrophytes and benthic algae. LakeWeb is a dynamic model and gives weekly variations. It has been critically tested using empirical data and regressions from many lakes. Those tests are not presented here but have shown that the model can capture typical functional and structural patterns in lakes very well. This gives credibility to the results presented in this work, which would be very costly to obtain in the traditional manner by extensive field studies in one or a few lakes. This work presents for the first time predictions at the ecosystem level of how functional groups of organisms (and not individual species) are likely to respond to acidification and liming. Two existing dynamic models, one for liming, the other for Hg-concentrations in fish, have been added to the LakeWeb-model. These two models have previously been tested and proven to yield good predictions. The results presented here indicate that there are several probable changes in the structure and function of the lake foodweb related to acidification and liming. The predicted changes in macrophyte cover will influence the predation pressure on fish, and thereby the fish biomass. Reductions in primary production at low pH-values will cause reductions in fish biomass. There are several interesting compensatory effects between factors that increase fish biomass and factors that tend to decrease the biomass. Such matters can be handled quantitatively by the LakeWeb-model.  相似文献   
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