大气中N2O的GC—ECD方法和环境浓度及来源

本文讨论了大气中N_2O的GC-ECD测定方法.对影响色谱分离效能的动力学因素(操作变置):载气流速、检测器和分离柱的温度进行了选择研究.方法有高的灵敏度和好的选择性,检测极限达到2.48×10~(-11)g·ml~(-1).由于采用了两个样品连续进样的程序,使样品的分析时间节省了约30%.本法不仅适用测量大气中N_2O,也能同时测量CO_2.应用本法对北京大学周围地区和河北省的一些典型环境中N_2O的浓度进行了测量,结果表明:(1)北京大学校园地区(采暖期)浓度均值为349ppbv(s·d=3ppbv,n=40),(2)有机堆肥场均值高达362ppbv(s·d=7ppbv,n=4),(3)稻田的均值为352ppbv(s·d=10ppbv,n=10),(4)林-农生态系统均值为345ppbv(s·d=18ppbv,n=192).比较这些数据可看出,有机堆肥是N_2O较强的排放源,稻田和燃烧过程也是大气N_2O的源.     

全氟辛酸对大鼠海马细胞内钙离子浓度的影响

采用连续灌胃染毒的方法,探讨了全氟辛酸(Perfluorooctanoic acid,PFOA)经口急性染毒对大鼠海马细胞内钙离子浓度的影响.选择雄性Wistar大鼠40只,实验组PFOA染毒剂量分别为2、8、30mg·kg-1(bw).连续灌胃染毒7天后,制备海马单细胞悬液,采用Fura-2/AM荧光探针法测定海马细胞内游离钙离子浓度([Ca2+]i),使用固相萃取-高效液相色谱/质谱联机法(HPLC/MS-MIS)检测血清与脑组织中PFOA浓度.结果表明,染毒组大鼠血清与脑中PFOA浓度均显著高于对照组水平(p<0.01),血清与脑中PFOA浓度之间存在显著的正相关关系(r2=0.611,p<0.01).PFOA染毒8、30mg·kg-1(bw)实验组海马细胞[Ca2+]i分别为(207.89±22.84)nmol·L-1和(284.19±14.75)nmol·L-1,显著高于对照组((141.68±11.47)nmol·L-1)和PFOA染毒2mg·kg-1(bw)实验组((147.38±19.23)nmol·L-1)(p<0.01).大鼠脑、血清中PFOA浓度分别与海马[Ca2+]i存在正相关关系(r2=0.552,p<0.01;r2=0.756,p<0.01).研究结果显示,PFOA暴露可使血清和脑组织中PFOA浓度增加,引起大鼠海马神经元细胞[Ca2+]i升高.     

水中铁(Ⅲ)-草酸盐配合物光解产生羟基自由基的测定

对铁 (Ⅲ ) 草酸盐配合物光解过程中产生的·OH进行了气相色谱法间接测定 在pH =3 5 ,异丙醇浓度为 1mmol·l- 1的条件下 ,经过 1 2 5W高压汞灯 (λ≥ 31 3nm)光照 80min ,Fe(Ⅲ ) /草酸盐配比为 9 3/1 2 0 7μmol·l- 1的水溶液中 ,·OH的生成量为6 5 9μmol·l- 1,·OH生成反应符合表观零级反应动力学模式 ,其生成速率为 0 72 6μmol·l- 1·min- 1.同时蜒究了溶液pH值、Fe(Ⅲ ) /草酸盐配比对·OH生成量的影响 .     

贡嘎山海螺沟冰川退缩区原生演替不同阶段优势植物光合生理特征

植物光合能力反映植物获取和利用资源的能力,研究冰川退缩区原生演替不同阶段优势植物光合生理特性有助于理解植物在不同生存环境中的光合策略,阐明原生演替过程物种代替与群落演替的生理机制。以贡嘎山海螺沟冰川退缩区原生演替早、中、后3个时期中9种优势植物为研究对象,通过测定植物的光合参数等叶片功能性状,探索原生演替过程中植物光合生理特性的变化规律。结果表明,(1)随着原生演替的进行,优势植物的单位质量叶片氮含量(N_(mass))、比叶面积(SLA)、叶片气孔导度(Gs)、光饱和净光合速率(P_(max))和光合氮利用效率(PNUE)显著降低(P0.01),但水分利用效率(WUE)无显著差异(P=0.274)。(2)演替早期和中期优势植物的最大羧化速率(Vc_(max))和最大电子传递速率(J_(max))无显著差异(P0.05),演替后期优势植物的Vc_(max)和J_(max)显著降低(P0.01)。(3)演替早期到后期优势植物叶片的羧化组分氮分配比例(PC)和生物力能学组分氮分配比例(PB)显著降低(P0.01)。(4)相关性分析表明,优势植物的叶片功能性状之间具有显著的相关性,如P_(max)与SLA、N_(mass)和Gs呈显著正相关关系(P0.01),PNUE与SLA、P_(max)、PC和PB呈显著正相关关系(P0.01)。原生演替过程中植物通过调整叶片结构及光合特征等叶片功能性状以适应环境的变化,植物光合生理特征的变化和叶片功能性状之间的联系可能代表了冰川退缩区植被原生演替进行的基本生理机制。     

双酚A对中国林蛙蝌蚪生长发育的毒性效应

为评价双酚A(BPA)对中国林蛙(Rana chensinensis)蝌蚪的急性毒性,将26期的蝌蚪暴露于浓度为2.4×10-5mol·L-1～4.2×10-5mol·L-1BPA的水体中进行急性毒性实验.结果表明,24、48、72、96h蝌蚪的死亡几率(y)与浓度对数(x)的回归方程分别为y=16.915x-4.1157、y=22.11x-6.1905、y=20.766x-5.3871、y=20.715x-5.351;半数致死浓度(LC50)分别为3.47×10-5、3.28×10-5、3.20×10-5、3.16×10-5mol·L-1.安全浓度(SC)为0.88×10-5mol·L-1.为探讨在安全浓度以下BPA对中国林蛙蝌蚪生长发育的影响,将林蛙蝌蚪分别于10-5、10-6、10-7mol·L-1BPA的水体中连续暴露直至完全变态,并设10-8、10-9mol·L-1雌二醇(E2)的阳性对照和空白对照,分别测定并统计蝌蚪发育所需的发育时间、体长和体质量.结果表明,蝌蚪对10-5、10-6、10-7mol·L-1BPA与10-8、10-9mol·L-1E2的效应相似,可延缓林蛙幼体的发育时间,导致体长和体质量降低.推测低浓度BPA抑制蝌蚪生长发育的机制之一是干扰了正常的内分泌活动.     

褐土施Ni对小白菜的生物效应及临界值的研究

研究了褐土施镍(N i)对小白菜生长发育及矿质营养吸收与积累的影响。依据小白菜生物量的变化,用茎叶N i含量及土壤有效态N i含量来表征土壤N i污染的毒性临界值。结果表明,施N i量在0~25 mg.kg-1范围促进小白菜鲜重增加、干物质积累降低;随施N i量增加,生物量呈极显著下降。褐土施N i影响矿质营养元素的吸收和积累,且随施N i量的增加表现出一定的协同和拮抗作用。以生物量减产10%为依据,确定褐土施N i的毒性临界值为:土壤全N i含量57.22 mg.kg-1,土壤有效态N i含量8.59 mg.kg-1(用DTPA提取液)和茎叶N i含量20.51 mg.kg-1。     

中山市风水林生态条件对鸟类多样性的生态影响及保护作用

风水林在野生动物多样性保护作用方面的研究还鲜有报道。2010年9月—2011年8月,在中山市选取保存良好的25片风水林,按季节采用样线法对其中的鸟类进行全查。结果表明,(1)所记录到的8 402个体隶属于9目31科88种;其中,林鸟61种,占总物种量的69.32%,个体数达8 265只次,占个体总量的98.37%,且数量排序在前20位的皆为林鸟。(2)物种组成存在季节动态差异,各季节间物种相似性指数较低,在0.53~0.65之间,其中夏季与其他季节间的差异较大;单片风水林物种数较少,在23~43种之间,且每个物种所能占据的风水林数量普遍较少(6.33±7.60),仅有5种鸟类在25片风水林均有分布,且皆为林鸟;(3)鸟类的总物种数以及林鸟物种数与风水林面积之间的关系不符合种-面积关系模型(r=0.109,P=0.604;r=0.250,P=0.229)。风水林对林鸟的保护具有重要作用,且空间格局呈现单片风水林多样性低而整体多样性高的特点,这与各片风水林间树种差异有密切关系。为此,在城市生态环境的改造中,在面积受限的情况下,加强历史性植被的保护和增加不同地域间植被差异性有利于提高当地动物多样性水平。     

两种生长在铜矿渣上的菊科植物的铜含量

对生长于云南鸡冠山铜矿渣上的艾蒿(Artemisiaargyi)和湖北铜绿山铜矿渣上的滨蒿(Artemisiascoparia)进行调查和铜含量测定,结果表明,2种菊科植物具有比较高的生物量,均为铜矿区的优势植物,其根周围土壤的铜含量高。艾蒿根和叶的铜含量都较高,其根部铜含量为41～156mg·kg-1,平均83±29mg·kg-1;叶部铜含量为58～464mg·kg-1,平均216±96mg·kg-1。滨蒿根部铜含量较高,其变化范围为58～513mg·kg-1,平均183±101mg·kg-1,而茎叶部铜含量相对于根部较低,为42～259mg·kg-1,平均97±52mg·kg-1(含铜量均以干重计)。研究还发现,2种植物对铜的耐受机制不同,艾蒿表现出较强的蓄积铜的潜力,而滨蒿表现出对铜污染土壤的植物固定潜能,因此2者均可作为植物修复铜污染土壤的先锋物种。     

长江（南京段）现代沉积物中重金属的分布特征及其形态研究

本文通过对比取样和重金属形态实验研究,对长江现代沉积物中重金属含量在平面上和剖面上的分布特征以及存在的形态进行了分析讨论.结果表明,长江南京段现代沉积物中Cu,Pb,Co,Ni已形成轻—中等程度污染,并且重金属元素随沉积物由老到新正以增加的趋势叠加沉积,叠加速率Cu为0.083μg·g~(-1)·cm~(-1),Pb为0.067μg·g~(-1)·cm~(-1),Co为0.05μg·g~(-1)·cm~(-1),Cr为0.217μg·g~(-1)·cm~(-1),Ni为0.067μg·g~(-1)·cm~(-1).叠加量主要为有效态部分.重金属在其有效态中的聚集能力如下:可交换态中:Pb>Co>Cu>Ni,Cr;碳酸盐态中:Cu>Cr>Pb,Co,Ni;Fe-Mn氧化物态中:Co>Pb>Cu>Ni>Cr;有机态中:Cu>Cr>Pb,Co,Ni.     

溪流底栖动物定量与半定量采样法比较研究

溪流底栖动物定量和半定量采样法在个体数、物种数、物种相似性及生物指数方面的比较研究表明:(1)急流生境中,半定量样(踢网)的个体和物种数高于定量样(索伯网);静水-缓流生境中,半定量样(D形网)的个体和物种数一般高于定量样,且物种数有显著差异(z=-2.032,P<0.05).(2)同一样点半定量样(踢网加D形网)与定量样之间的物种相似性(平均为0.68)高于急流生境(0.56)和静水-缓流生境(0.45).(3)同一样点半定量样和定量样单独计算的生物指数值之间无显著差异.建议在应用溪流底栖动物开展水质生物评价时,可用半定量采样法完成野外采样.图4表1参8     

南岳森林群落生物多样性研究(Ⅵ)上封寺森林群落植物物种相对多度分布格局

本文应用几何级数分布、分割线段、对数级数分布和对数正态分布等4种模型研究了南岳上封寺森林群落植物物种相对多度的分布格局。结果表明,几何级数分布模型适宜拟合乔木层和草本层,而不适宜于灌木层;分割线段模型适宜于乔木层,其中,多度一频度模型还适于草本层;对数级数分布模型完全适宜于拟合任何层次;对数正态分布模型仅适宜于拟合乔木层。此外,α-指数值介于季雨林-稀树草原之间。     

南岳森林群落生物多样性研究(Ⅲ)广济寺森林群落植物物种相对多度分布格局

本文选用几何级数分布、分割线段、对数级数分布和对数正态分布等模型研究了南岳广济寺森林群落植物物种相对多度的分布格局。结果表明,对数级分布模型适于拟合南岳广济寺森林群落乔木层和灌木层物种相对多度的分布格局;分割线段中的序列一多度模型仅适合于乔木层;对数正态分布模型仅适合于草本层;几何级数分布模型完全适合于拟合任何层次。此外,α指数值亦显示出本群落接近山地季雨林的多样性水平。     

Species distribution modelling: Does one size fit all? A phytogeographic analysis of Salix in Ontario

Empirical models for predicting the distribution of organisms from environmental data have often focused on principles of ecological niche theory. However, even at large scales, there is little agreement over how to represent the dimensions of a species’ niche. The performance of such models is greatly affected by the nature of species distributional and environmental data. Regional scale distribution models were developed for 30 willow species in Ontario to examine (i) the predictive ability of logistic regression analysis, and (ii) the effects of using different distributional and environmental data sets. Two original measures of model accuracy and over-prediction were employed and evaluated using independent data. Models based on unique combinations of monthly climate data predicted distributions most accurately for all species. Models based on a fixed set of variables, while generating the highest average probabilities of occurrence for certain species with limited ranges, resulted in the greatest under- and over-estimates of willow distributions. Comparisons of models demonstrated climatic patterns among willows of differing habit and habitat. The distribution of dwarf willow species, present only in the Ontario arctic, followed gradients of summer maximum temperatures. The distribution of the tree species in the southerly portions of the province followed gradients of fall and winter minimum temperatures. Regardless of distributional and environmental data input, no algorithm maximized model performance for all species. Individual species models require individual approaches; i.e., the variable selection technique, the set of environmental factors used as predictors, and the nature of species distributional data must be carefully matched to the intended application. An understanding of evolutionary processes enhances the meaningful interpretation of individual species models. Unless sampling bias and species prevalence can be accounted for, models based on collection point data are best used to guide field surveys. While inferred range data may be better suited to determine potential ecological niches, overestimation of species prevalence and environmental tolerance must be recognized. A combination of available distributional data types is recommended to best determine species niches, an important step in developing conservation strategies.     

Simultaneous-count models to estimate abundance from counts of unmarked individuals with imperfect detection

We developed a method to estimate population abundance from simultaneous counts of unmarked individuals over multiple sites. We considered that at each sampling occasion, individuals in a population could be detected at 1 of the survey sites or remain undetected and used either multinomial or binomial simultaneous-count models to estimate abundance, the latter being equivalent to an N-mixture model with one site. We tested model performance with simulations over a range of detection probabilities, population sizes, growth rates, number of years, sampling occasions, and sites. We then applied our method to 3 critically endangered vulture species in Cambodia to demonstrate the real-world applicability of the model and to provide the first abundance estimates for these species in Cambodia. Our new approach works best when existing methods are expected to perform poorly (i.e., few sites and large variation in abundance among sites) and if individuals may move among sites between sampling occasions. The approach performed better when there were >8 sampling occasions and net probability of detection was high (>0.5). We believe our approach will be useful in particular for simultaneous surveys at aggregation sites, such as roosts. The method complements existing approaches for estimating abundance of unmarked individuals and is the first method designed specifically for simultaneous counts.     

Evaluation d'une population planctonique

In order to evaluate quantitative aspects of dynamics in planetonic populations, a method is presented permitting the more accurate estimation of the number of individuals within, each size-group. The samples analysed may have been caught with any type of collecting gear. Correcting coefficients are determined only once for each species studied and gear employed from suitable material, and may then be used for any other sample concerned with the same species and gear. The method is based on the fact that, in monospecific populations with all generations present, the number of individuals is always lowest in the oldest age group. A model calculation is presented for euphausiid crustaceans caught with a 10 ft Isaacs-Kidd midwater trawl.     

Role of competition and predation in determining habitat occupancy of Cerithiidae (Gastropoda: Prosobranchia) on the rocky,intertidal, Red Sea coasts of Sinai

Six cerithiid snail species occur on rocky intertidal flats along the Sinai coasts of the Red Sea: Clypeomorus moniliferum, Cerithium caeruleum, C. scabridum, C. columna, Clypeomorus tuberculatum and Cerithium echinatum. The present study, conducted at 22 stations covering almost the whole length of Sinai, covered the 4 yr period from October 1972 to August 1976, and describes the habitat occupancy of 5 of these species (C. echinatum is excluded for lack of data). Several of these species (sometimes all) often occur together, and in such cases are distincly segregated by habitat. However all species considerably overlap in their distribution along the axes of four major interrelated abiotic gradients, thus excluding the possibility that habitat segregation is determined by larval settlement preferences. Other distributional patterns observed at some sites, such as lack of overlap or contact between belts of the various species and the relative abundance of food available to all species, make postlarval competitive interactions unlikely. The existence and the degree of proximity of a coral reef with its associated predatory fishes, influence the cerithiids' distributional patterns. Differences between the cerithiid species in their vulnerability to fish predation, associated with differences between sites in the abundance and the accessibility of predatory fishes, and in the availability of refuges for each cerithiid species, can satisfactorily explain the observed distributional patterns including co-occurrence with habitat segregation. It is proposed that habitat segregation is caused by predation on young stages by generalist fishes which may totally eliminate a certain species at a given site; the same site may provide refuges for recruits of another species, allowing these to survive to an advanced age. In general, the flat's structural complexity is associated with its diversity of refuges from predation, and hence with the number of co-existing species. This mechanism for co-existence and habitat segregation in tropical Cerithiidae may also be instrumental in maintaining the high species diversity of other tropical benthic communities.Paper No. 12 in the series Colonization of the Eastern Mediterrancan by Red Sea species immigrating through the Suez Canal     

Site‐Occupancy Distribution Modeling to Correct Population‐Trend Estimates Derived from Opportunistic Observations

Abstract: Species’ assessments must frequently be derived from opportunistic observations made by volunteers (i.e., citizen scientists). Interpretation of the resulting data to estimate population trends is plagued with problems, including teasing apart genuine population trends from variations in observation effort. We devised a way to correct for annual variation in effort when estimating trends in occupancy (species distribution) from faunal or floral databases of opportunistic observations. First, for all surveyed sites, detection histories (i.e., strings of detection–nondetection records) are generated. Within‐season replicate surveys provide information on the detectability of an occupied site. Detectability directly represents observation effort; hence, estimating detectablity means correcting for observation effort. Second, site‐occupancy models are applied directly to the detection‐history data set (i.e., without aggregation by site and year) to estimate detectability and species distribution (occupancy, i.e., the true proportion of sites where a species occurs). Site‐occupancy models also provide unbiased estimators of components of distributional change (i.e., colonization and extinction rates). We illustrate our method with data from a large citizen‐science project in Switzerland in which field ornithologists record opportunistic observations. We analyzed data collected on four species: the widespread Kingfisher (Alcedo atthis) and Sparrowhawk (Accipiter nisus) and the scarce Rock Thrush (Monticola saxatilis) and Wallcreeper (Tichodroma muraria). Our method requires that all observed species are recorded. Detectability was <1 and varied over the years. Simulations suggested some robustness, but we advocate recording complete species lists (checklists), rather than recording individual records of single species. The representation of observation effort with its effect on detectability provides a solution to the problem of differences in effort encountered when extracting trend information from haphazard observations. We expect our method is widely applicable for global biodiversity monitoring and modeling of species distributions.     

Selecting pseudo-absence data for presence-only distribution modeling: How far should you stray from what you know?

An important decision in presence-only species distribution modeling is how to select background (or pseudo-absence) localities for model parameterization. The selection of such localities may influence model parameterization and thus, can influence the appropriateness and accuracy of the model prediction when extrapolating the species distribution across time and space. We used 12 species from the Australian Wet Tropics (AWT) to evaluate the relationship between the geographic extent from which pseudo-absences are taken and model performance, and shape and importance of predictor variables using the MAXENT modeling method. Model performance is lower when pseudo-absence points are taken from either a restricted or broad region with respect to species occurrence data than from an intermediate region. Furthermore, variable importance (i.e., contribution to the model) changed such that, models became increasingly simplified, dominated by just two variables, as the area from which pseudo-absence points were drawn increased. Our results suggest that it is important to consider the spatial extent from which pseudo-absence data are taken. We suggest species distribution modeling exercises should begin with exploratory analyses evaluating what extent might provide both the most accurate results and biologically meaningful fit between species occurrence and predictor variables. This is especially important when modeling across space or time—a growing application for species distributional modeling.