象山港国华电厂强增温海域浮游动物群落结构和多样性的时空特征

为探明电厂强增温海域浮游动物群落结构和多样性的时空特征,于2011年在象山港国华电厂附近海域,采用浮游生物Ⅱ型网(网目160μm)进行10站位2重复的浮游动物季节性采样.结果表明,共识别出62种浮游动物(含幼体),平均丰度为9 531.1 ind.m-3.该海域浮游动物群落主要由桡足类和浮游幼体类组成,且以浮游幼体类为主,比例高达66.6%.相似性分析显示,各月间浮游动物群落结构差异极显著(P<0.01),控制群落结构的优势种有18种,最重要的判别种有瘦尾胸刺水蚤Centropages tenuiremis、大同长腹剑水蚤Oithona similis、伪长腹剑水蚤Oithona fallax、克氏纺锤水蚤Acartia clausi、长尾基齿哲水蚤Clausocalanus furcatus、针刺拟哲水蚤Paracalanus aculeatus和小拟哲水蚤Paracalanus parvus.GLM分析显示,月份间的多样性指数也存在极显著差异(P<0.01),经计算,各多样性指数随水温增加而下降的拐点水温范围为20.31～22.31℃.在断面上,离排水口0.2 km断面(D02)的平均水温比2 km断面高2.16℃.受温度影响,主要优势种如瘦尾胸刺水蚤和大同长腹剑水蚤倾向于向D02断面移动,克氏纺锤水蚤、尤其是大型浮游动物倾向于远离排水口,并向1.2 km断面聚集,使D02断面的种类数最少(33种)、丰度最低(5 522.8 ind.m-3),而1.2 km断面的种类数(53种)和丰度(16 491.0 ind.m-3)最高;同时,D02断面的多样性指数也明显低于其它断面.经线性回归分析,海域增温使多样性指数极显著下降(P<0.01),每增温1℃浮游动物丰富度下降12.3%.     

植物内重金属的赋存形态及分布特征分析方法研究进展

植物内重金属分析不仅有助于阐述重金属迁移转化规律,揭示植物修复机理,也是监测评价大气、水及土壤环境重金属污染状况的重要依据。研究针对植物样品中重金属赋存形态及分布特征的分析方法进行综述,分别介绍了其原理、优缺点及应用。提出制定统一高效的分析检测方法,深化植物内重金属的赋存形态及分布特征与环境相关性的研究以及建立数据共享平台是植物样品重金属信息分析方法的未来发展方向。     

矿化垃圾混配种植介质的盆栽实验研究

矿化垃圾营养成分和有机质含量较高,但含有重金属和盐分.为了解矿化垃圾的施加比例对植物的生长影响以及植物对矿化垃圾混配种植介质中营养成分的吸收和重金属的富集,将矿化垃圾和本地绿化土按照不同比例混配,研究混配种植介质的理化性质的改善条件、矿化垃圾对植物体内的生物量和叶绿素含量的影响、植物对混配种植介质中营养成分的吸收量以及植物体内各种重金属累积浓度,探索矿化垃圾的最佳施用比例.实验结果表明,矿化垃圾可改善上海本地土壤贫瘠的普遍状况,其添加质量分数在50%～75%合适,对植物生长有利.     

GIS支持下的秦岭植被景观梯度分析

秦岭植被景观类型丰富,具有过渡性和复杂性特点,植被垂直分带明显. 在分析了大尺度秦岭植被景观空间水平分布格局的基础上,利用基于GIS梯度分析方法,分析秦岭的植被与海拔梯度的关系,得到秦岭不同植被景观类型的斑块数、分布范围、植被分布的海拨高度平均值和标准差,并以太白山为例,对太白山植物种进行了梯度分析. 结果表明,随着海拔高度的增加,太白山依次出现7种植被景观类型:温带草丛→温带落叶灌丛→温带落叶阔叶林→亚热带针叶林→亚热带和热带山地针叶林→草甸→高寒草甸等植被类型,植物种亦发生相应的变化.      

添加不同钝化剂降低污泥堆肥的植物毒性研究

高温堆肥后污泥的土地利用可充分发挥资源化、无害化的优势,污泥土地利用防止重金属污染一直是污泥施用中最重要的问题。通过测验发芽率指数这一代表植物毒性的指标证明,通过在污泥堆肥中加入粉煤灰、磷矿粉和草炭等不同的改性剂或重金属钝化剂可大大降低堆肥的植物毒性,从而降低污泥中重金属的可利用性。     

胜利电厂一期工程环境影响回顾评价——污染源和污染治理措施回顾评价

本文论述了胜利电厂污染源和污染治理措施回顾评价的方法和内容。回顾评价采用现场调查,与一期环评报告进行对比分析的方法进行,重点放在污染源、污染治理措施的调查分析上。     

温州临江垃圾焚烧发电厂飞灰的性质研究

研究了温州临江垃圾焚烧发电厂生活垃圾焚烧产生飞灰的物理和化学性质。飞灰为含水率低、颗粒尺寸集中在43~175μm之间的灰色粉末,主要由Si、Al、Ca、Mg、Fe、Na、K、C和S元素组成。飞灰中Pb、Cd的浸出浓度在酸性条件下都不同程度地高于我国危险废物鉴别标准的允许浓度,其中Pb的浸出浓度在pH值1.06~13.69条件下远远超标,碱性条件下浸出毒性比酸性条件下小。矿物组成主要为石英(SiO2)、赤铁矿αFe2O3、钙长石CaO.Al2O3.2SiO2、钙铝黄长石2CaO.Al2O3.SiO2、KCl、NaCl、CaCO、PbO、TiO2、ZnCO3等,溶解盐含量高达19.5%,化学反应活性较强,热稳定性较差。     

Negative effects of nitrogen deposition on Swiss butterflies

Nitrogen (N) deposition from agriculture and combustion of fossil fuels is a major threat to plant diversity, but its effects on organisms at higher trophic levels are unclear. We investigated how N deposition may affect species richness and abundance (number of individuals per species) in butterflies. We reviewed the peer-reviewed literature on variables used to explain spatial variation in butterfly species richness and found that vegetation variables appeared to be as important as climate and habitat variables in explaining butterfly species richness. It thus seemed likely that increased N deposition could indirectly affect butterfly communities via its influence on plant communities. To test this prediction, we analyzed data from the Swiss biodiversity monitoring program for vascular plants and butterflies in 383 study sites of 1 km² that are evenly distributed throughout Switzerland. The area has a modeled N deposition gradient of 2–44 kg N ha⁻¹ year⁻¹. We used traditional linear models and structural equation models to infer the drivers of the spatial variation in butterfly species richness across Switzerland. High N deposition was consistently linked to low butterfly diversity, suggesting a net loss of butterfly diversity through increased N deposition. We hypothesize that at low elevations, N deposition may contribute to a reduction in butterfly species richness via microclimatic cooling due to increased plant biomass. At higher elevations, negative effects of N deposition on butterfly species richness may also be mediated by reduced plant species richness. In most butterfly species, abundance was negatively related to N deposition, but the strongest negative effects were found for species of conservation concern. We conclude that in addition to factors such as intensified agriculture, habitat fragmentation, and climate change, N deposition is likely to play a key role in negatively affecting butterfly diversity and abundance.     

电力-水泥产业共生循环经济模式的实证分析——以乌兰水泥集团公司为例

煤炭发电产业每年有大量废渣量，占用大量耕地并需支付大量环保费用，对环境的污染和危害越来越严重，如何解决煤炭发电产业废渣问题成为全国各地发展中的重要问题。本文以乌兰水泥集团公司作为实例，分析了电力-水泥产业共生循环经济模式，主要启示和建议为：①电力-水泥产业共生模式值得推广；②因地制宜，建立循环经济基地；③产业循环链的设计是关键；④不断进行循环利用技术研究；⑤拓展融资渠道；⑥引进人才，加大培训力度；⑦建设循环经济信息系统。     

Climatic and Biotic Stochasticity: Disparate Causes of Convergent Demographies in Rare, Sympatric Plants

Abstract:  Species with known demographies may be used as proxies, or approximate models, to predict vital rates and ecological properties of target species that either have not been studied or are species for which data may be difficult to obtain. These extrapolations assume that model and target species with similar properties respond in the same ways to the same ecological factors, that they have similar population dynamics, and that the similarity of vital rates reflects analogous responses to the same factors. I used two rare, sympatric annual plants (sand gilia [ Gilia tenuiflora arenaria ] and Monterey spineflower [ Chorizanthe pungens pungens ]) to test these assumptions experimentally. The vital rates of these species are similar and strongly correlated with rainfall, and I added water and/or prevented herbivore access to experimental plots. Their survival and reproduction were driven by different, largely stochastic factors and processes: sand gilia by herbivory and Monterey spineflower by rainfall. Because the causal agents and processes generating similar demographic patterns were species specific, these results demonstrate, both theoretically and empirically, that it is critical to identify the ecological processes generating observed effects and that experimental manipulations are usually needed to determine causal mechanisms. Without such evidence to identify mechanisms, extrapolations among species may lead to counterproductive management and conservation practices.