应用物种敏感性分布评估重金属对海洋生物的生态风险

应用生态风险评价中的物种敏感性分布(species sensitivity distributions,SSD)方法构建了8种常见重金属元素(As、Cd、Cr、Cu、Hg、Mn、Pb、Zn)对海洋生物的SSD曲线。在此基础上计算了8种重金属对海洋生物的5%危害浓度(HC5)及其不同暴露浓度对海洋生物的潜在影响比例(PAF),比较了海洋脊椎动物和无脊椎动物对8种重金属的敏感性以及不同重金属的急性生态风险。结果表明,重金属对甲壳类的生态风险均比鱼类大。8种重金属元素对所研究的海洋生物全部物种的HC5值的排序为Pb>Mn>Zn>Cr>Cu>Hg>Cd>As。暴露浓度小于10μg·L-1时,Cr和Hg的生态风险差异不大。在10μg·L-1的暴露浓度下,As、Cd、Cu和Hg均使全部物种中超过10%的生物受到影响。随着浓度升高,不同重金属的生态风险有不同幅度的增大,当浓度达到1000μg·L-1时,分别有82.49%、87.31%和85.90%的物种受到As、Cu和Hg的损害。不同生物的敏感性顺序会随重金属的浓度范围发生变化。     

不同土著草本群落对加拿大一枝黄花早期阶段入侵的抑制能力研究

为了解不同土著草本群落对加拿大一枝黄花(Solidago canadensis)的入侵抑制能力以及可能的机制,以杭州湾南岸湿地围垦区具有相同演替阶段的3种优势土著草本白茅(Imperata cylindrical)、芦苇(Phragmites communis)和荻(Miscanthus sacchariflorus)群落为研究对象,以加拿大一枝黄花单优群落为参照,调查了不同群落中加拿大一枝黄花密度和地上部分生长(株高和基径)情况,测定了不同群落的光照水平和土壤理化性质,分析了土著群落中加拿大一枝黄花密度和地上部分生长与群落光照水平和土壤肥力的关系。结果表明:(1)土著群落显著降低加拿大一枝黄花密度(P0.05),白茅群落还显著降低加拿大一枝黄花地上部分生长(P0.05)。(2)土著群落降低了群落冠层光照水平,土著群落冠层中部光合有效辐射低于加拿大一枝黄花单优群落。白茅群落和荻群落盖度显著高于芦苇群落和加拿大一枝黄花群落(P0.05),冠层高度由大到小依次为荻、芦苇、加拿大一枝黄花和白茅;加拿大一枝黄花株高与其邻株株高间呈显著正相关(P0.001)。(3)土著群落土壤肥力低于加拿大一枝黄花单优群落,白茅群落土壤肥力最低,但多数指标与芦苇群落和荻群落差异不显著(P0.05)。认为遮光可能是土著群落抑制加拿大一枝黄花早期入侵的主要机制,而较低的土壤肥力水平可能与光竞争协同作用进一步加剧了土著群落对加拿大一枝黄花扩散的抑制。通过筛选和培育那些能同时降低群落光照水平和土壤肥力水平的土著群落可有效抑制加拿大一枝黄花入侵。     

基于农产品安全的土壤重金属有效态含量限值推定方法

相较于土壤重金属总量标准,有效态含量限值与农产品质量相关性更强,可更科学地指导土壤污染防治工作.通过典型重金属污染区域案例研究,在统计分析区域农田土壤重金属总量、有效态含量和不同水稻品种重金属蓄积量的基础上,运用物种敏感性分布(SSD)法,推定土壤中镉和铅的有效态含量限值.结果表明,大冶市农田土壤中Cd和Cu样本超标率分别是90. 7%和42. 6%,表明大冶市农田土壤存在较为广泛的Cd和Cu污染;糙米Cd和Pb的含量分别有50. 9%和89. 8%的样本超标,其平均值分别是相应农产品污染物限量标准的2. 95倍和6. 75倍,表明大冶市稻米受Cd和Pb污染严重.利用BurrⅢ型分布拟合样品中8个水稻品种富集Cd和Pb的SSD曲线,依据农产品中污染物限量标准推导计算得出,保证95%水稻品种糙米不超标的土壤重金属Cd和Pb有效态含量限值分别为0. 02 mg·kg-1和0. 005 mg·kg-1.比较于该区域土壤中Cd有效态含量调查数据和其他国家或研究有效态含量限值,Cd有效态含量推导限值较为科学,可应用于当地土壤污染防治实践.在大冶地区土壤Pb可能不是稻米Pb的主要来源,水稻这一物种对于Pb有效态含量限值的推导不具有代表性,同时缺乏稻米在低积累水平和不同土壤污染水平下对Pb的累积数据,因而Pb有效态含量限值不具实际指导意义.     

Derivation of predicted no effect concentrations (PNEC) for 2,4,6-trichlorophenol based on Chinese resident species

2,4,6-Trichlorophenol (2,4,6-TCP) is a common chemical intermediate and a by-product of water chlorination and combustion processes, and is a priority pollutant of the aquatic environment in many countries. Although information on the toxicity of 2,4,6-TCP is available, there is a lack of information on the predicted no-effect concentration (PNEC) of 2,4,6-TCP, mainly due to the shortage of chronic and site-specific toxicity data. In the present study, acute and sub-chronic toxicity of 2,4,6-TCP on six different resident Chinese aquatic species were determined. PNEC values were calculated and compared by use of two approaches: assessment factor (AF) and species sensitivity distribution (SSD). Values for acute toxicity ranged from 1.1 mg L⁻¹ (Plagiognathops microlepis) to 42 mg L⁻¹ (Corbicula fluminea) and the sub-chronic no observed effect concentrations (NOECs) ranged from 0.05 mg L⁻¹ (Mylopharyngodon piceus) to 2.0 mg L⁻¹ (C. fluminea). PNECs obtained by the assessment factor approach with acute (AF = 1000, 0.001 mg L⁻¹) or chronic (AF = 10, 0.005 mg L⁻¹) toxicity data were one order of magnitude less than those from SSD methods (0.057 mg L⁻¹). PNEC values calculated using SSD methods with a 50% certainty for 2,4,6-TCP was less than those obtained by use of the USEPA recommend final chronic value (FCV) method (0.097 mg L⁻¹) and the one obtained by use of the USEPA recommend acute-to-chronic (ACR) methods (0.073 mg L⁻¹). PNECs derived using AF methods were more protective and conservative than that derived using SSD methods.     

沈阳市不同功能区挥发性有机物分布特征及臭氧生成潜势

采用德国AMA-GC 5000在线气相色谱仪对沈阳市的工业区、交通区和文教混合区这3个不同功能区进行大气挥发性有机物(VOCs)观测,分析沈阳市不同功能区大气VOCs的分布特征,并利用最大增量反应活性(MIR)估算了大气VOCs的臭氧生成潜势(OFP).结果表明,沈阳市大气VOCs平均总浓度为(82.19±54.99)μg·m^-3,其中,采暖期浓度高于非采暖期,且工业区浓度较交通区和文教混合区明显偏高.VOCs浓度日变化曲线中,受早晚交通高峰影响为主的交通区和文教混合区呈双峰特征,工业区受工厂不定时运作排放影响存在多峰.交通区和文教混合区VOCs组分占比表现为:烷烃>芳香烃>烯烃>炔烃,但工业区炔烃占比高于烯烃,由B/T和E/A比值反映交通区和文教混合区受机动车尾气排放和燃料燃烧共同影响,工业区还受石油化工影响产生新鲜气团较多,且采暖期较非采暖期老化气团多.沈阳市大气VOCs的OFP贡献均值为232.89μg·m^-3,烯烃组分对各功能区贡献均占第一,且工业区的芳香烃组分因浓度高贡献也较大.     

舟山群岛海洋动物体内石油烃的含量及对海域有机污染的指示作用

在1998～2004年对舟山海域4个县区40种海产品的石油烃含量,采用分子荧光光度法进行了检测,结果表明:(1)舟山群岛海洋动物体内石油烃含量的种间分布差异较大,以瓣鳃纲和腹足纲为主的软体动物的生物富集作用具有明显的区域和时段特征;(2)舟山群岛海洋动物体内石油烃含量在1998年和2001年的3 a有一个明显下降过程,而在2003和2004年又有了明显的上升趋势并在总体上已超过了1998年的水平;(3)以营埋栖的缢蛏和活动范围有限的龙头鱼,适于作为潮间带泥滩或河口区域等不同栖息生境有机污染的指示物种.     

Short-term effects of drawing water for connectivity of rivers and lakes on zooplankton community structure

During 28-29,September 2005,water was drawn from Hanjiang River and Houguan Lake to the Yangzi River via Sanjiao Lake and Nantaizi Lake in Wuhan in order to provide favorable conditions for ecosystem restoration.To evaluate the feasibility and validity of drawing water as a means of ecosystem restoration,zooplankton populations were studied 3 times (before,immediately after finishing and a month after drawing water)at seven locations from 27 Sept.2005 to 2 Nov.2005.Water quality in the lakes was mostly improved and zooplankton species richness decreased as soon as drawing water had finished but increased a month after drawing water.Zooplankton density and biomass was reduced in the lakes by drawing water but was increased at the entrance to Sanjiao Lake because of landform geometry change.Before drawing water,most species in Sanjiao lake e.g.,Brachionus sp.and Keratella sp.were tolerant of contamination.After drawing water oligotrophic-prone species such as Lecane ludwigii and Gastropus stylifer emerged.We conclude that drawing water could be important for improving water quality and favour ecosystem restoration.Dilution of nutrient concentrations may be an important role in the effect.     

The importance of incorporating functional habitats into conservation planning for highly mobile species in dynamic systems

The distribution of mobile species in dynamic systems can vary greatly over time and space. Estimating their population size and geographic range can be problematic and affect the accuracy of conservation assessments. Scarce data on mobile species and the resources they need can also limit the type of analytical approaches available to derive such estimates. We quantified change in availability and use of key ecological resources required for breeding for a critically endangered nomadic habitat specialist, the Swift Parrot (Lathamus discolor). We compared estimates of occupied habitat derived from dynamic presence‐background (i.e., presence‐only data) climatic models with estimates derived from dynamic occupancy models that included a direct measure of food availability. We then compared estimates that incorporate fine‐resolution spatial data on the availability of key ecological resources (i.e., functional habitats) with more common approaches that focus on broader climatic suitability or vegetation cover (due to the absence of fine‐resolution data). The occupancy models produced significantly (P < 0.001) smaller (up to an order of magnitude) and more spatially discrete estimates of the total occupied area than climate‐based models. The spatial location and extent of the total area occupied with the occupancy models was highly variable between years (131 and 1498 km²). Estimates accounting for the area of functional habitats were significantly smaller (2–58% [SD 16]) than estimates based only on the total area occupied. An increase or decrease in the area of one functional habitat (foraging or nesting) did not necessarily correspond to an increase or decrease in the other. Thus, an increase in the extent of occupied area may not equate to improved habitat quality or function. We argue these patterns are typical for mobile resource specialists but often go unnoticed because of limited data over relevant spatial and temporal scales and lack of spatial data on the availability of key resources. Understanding changes in the relative availability of functional habitats is crucial to informing conservation planning and accurately assessing extinction risk for mobile resource specialists.     

Improving effectiveness of systematic conservation planning with density data

Systematic conservation planning aims to design networks of protected areas that meet conservation goals across large landscapes. The optimal design of these conservation networks is most frequently based on the modeled habitat suitability or probability of occurrence of species, despite evidence that model predictions may not be highly correlated with species density. We hypothesized that conservation networks designed using species density distributions more efficiently conserve populations of all species considered than networks designed using probability of occurrence models. To test this hypothesis, we used the Zonation conservation prioritization algorithm to evaluate conservation network designs based on probability of occurrence versus density models for 26 land bird species in the U.S. Pacific Northwest. We assessed the efficacy of each conservation network based on predicted species densities and predicted species diversity. High‐density model Zonation rankings protected more individuals per species when networks protected the highest priority 10‐40% of the landscape. Compared with density‐based models, the occurrence‐based models protected more individuals in the lowest 50% priority areas of the landscape. The 2 approaches conserved species diversity in similar ways: predicted diversity was higher in higher priority locations in both conservation networks. We conclude that both density and probability of occurrence models can be useful for setting conservation priorities but that density‐based models are best suited for identifying the highest priority areas. Developing methods to aggregate species count data from unrelated monitoring efforts and making these data widely available through ecoinformatics portals such as the Avian Knowledge Network will enable species count data to be more widely incorporated into systematic conservation planning efforts.     

Conservation of biodiversity through taxonomy,data publication,and collaborative infrastructures

Taxonomy is the foundation of biodiversity science because it furthers discovery of new species. Globally, there have never been so many people involved in naming species new to science. The number of new marine species described per decade has never been greater. Nevertheless, it is estimated that tens of thousands of marine species, and hundreds of thousands of terrestrial species, are yet to be discovered; many of which may already be in specimen collections. However, naming species is only a first step in documenting knowledge about their biology, biogeography, and ecology. Considering the threats to biodiversity, new knowledge of existing species and discovery of undescribed species and their subsequent study are urgently required. To accelerate this research, we recommend, and cite examples of, more and better communication: use of collaborative online databases; easier access to knowledge and specimens; production of taxonomic revisions and species identification guides; engagement of nonspecialists; and international collaboration. “Data‐sharing” should be abandoned in favor of mandated data publication by the conservation science community. Such a step requires support from peer reviewers, editors, journals, and conservation organizations. Online data publication infrastructures (e.g., Global Biodiversity Information Facility, Ocean Biogeographic Information System) illustrate gaps in biodiversity sampling and may provide common ground for long‐term international collaboration between scientists and conservation organizations.