Effects of benzo(a)pyrene on blood components,tumor markers,and oxidative status in mice

This study was carried out to investigate the effect of long-term exposure to benzo(a)pyrene (B(a)P) in mice. Hemogram, tumor markers, oxidative status, and B(a)P residues in liver tissue were evaluated. Sixty albino Swiss mice were randomly distributed equally into three groups; the control was given 0.1?mL corn oil once a week for 8 weeks. The other two groups were given 20 and 40?mg B(a)P per kg body weight once a week orally for the same period. B(a)P-treated mice suffered from depression and ascites, and macrocytic normochromic anemia was recorded at the 16th and 30th week. There was marked leukocytosis with lymphocytosis at the early stage of the experiment, followed by leukopenia, lymphopenia, and neutropenia at the end of the experiment. Monocytes and arginase activity were elevated throughout the experiment. Alpha feto-protein was detected only in the experimental groups in the 30th week of the experiment. A marked increase in lipid peroxides associated with a decrease in reduced glutathione and glutathione-S-transferase (GST) activity was observed in liver homogenate of the B(a)P-exposed animals. Residues of B(a)P were detected in liver tissue with a concentration parallel to the B(a)P dose level. In conclusion, B(a)P caused abnormal changes in the hemogram, evidence of tumor formation through B(a)P-induced oxidative stress, and it was accumulated in the liver tissue of mice.     

Landscape trajectory of natural boreal forest loss as an impediment to green infrastructure

Loss of natural forests by forest clearcutting has been identified as a critical conservation challenge worldwide. This study addressed forest fragmentation and loss in the context of the establishment of a functional green infrastructure as a spatiotemporally connected landscape-scale network of habitats enhancing biodiversity, favorable conservation status, and ecosystem services. Through retrospective analysis of satellite images, we assessed a 50- to 60-year spatiotemporal clearcutting impact trajectory on natural and near-natural boreal forests across a sizable and representative region from the Gulf of Bothnia to the Scandinavian Mountain Range in northern Fennoscandia. This period broadly covers the whole forest clearcutting period; thus, our approach and results can be applied to comprehensive impact assessment of industrial forest management. The entire study region covers close to 46,000 km² of forest-dominated landscape in a late phase of transition from a natural or near-natural to a land-use modified state. We found a substantial loss of intact forest, in particular of large, contiguous areas, a spatial polarization of remaining forest on regional scale where the inland has been more severely affected than the mountain and coastal zones, and a pronounced impact on interior forest core areas. Salient results were a decrease in area of the largest intact forest patch from 225,853 to 68,714 ha in the mountain zone and from 257,715 to 38,668 ha in the foothills zone, a decrease from 75% to 38% intact forest in the inland zones, a decrease in largest patch core area (assessed by considering 100-m patch edge disturbance) from 6114 to 351 ha in the coastal zone, and a geographic imbalance in protected forest with an evident predominance in the mountain zone. These results demonstrate profound disturbance of configuration of the natural forest landscape and disrupted connectivity, which challenges the establishment of functional green infrastructure. Our approach supports the identification of forests for expanded protection and conservation-oriented forest landscape restoration.     

CuO-ZnO催化剂的XRD和EXAFS研究

用XRD和EXAFS方法研究了CuO-ZnO(50:50)CO_2加氢合成甲醇催化剂的结构.XRD研究发现,在催化剂还原前后,分别存在CuO,ZnO和Cu-ZnO晶相.EXAFS研究发现,在CuO-ZnO中,Cu—O,Cu—Cu键长及Cu的氧配位数、Cu的Cu配位数与纯CuO的十分接近,在Cu-ZnO中,Cu—Wu键长、Cu的Cu配位数与纯Cu的十分接近,说明催化剂在还原前后,CU的近邻结构分别与CuO与Cu的十分接近.纯Cu的活性、选择性很低,而Cu-ZnO的活性、选择性较纯Cu的有很大提高,说明催化剂的性能与催化剂中Cu的近邻结构无关.     

Grass feedbacks on fire stabilize savannas

Savannas commonly consist of a discontinuous cover of overstory trees and a groundcover of grasses. Savanna models have previously demonstrated that vegetation feedbacks on fire frequency can limit the density of overstory trees, thereby maintaining savannas. Positive feedbacks of either savanna trees alone or trees and grasses together on fire frequency have been shown to result in a stable savanna equilibrium. Grass feedbacks on fire frequency, in contrast, have resulted in stable equilibria in either a grassland or forest state, but not in a savanna. These results, however, were derived from a system of differential equations that assumes that fire occurrence is strictly deterministic and that vegetation losses due to fire are continuous in time. We develop an alternative formulation of the grass-fire feedback model that assumes that fires are discrete and occur stochastically in time to examine the influence of these assumptions on the predicted state of the system. We show that incorporating fire as a discrete event can produce a recurring temporal refuge in which both grass and trees co-occur in a stable, bounded savanna. In our model, tree abundance is limited without invoking demographic bottlenecks in the transition from fire-sensitive to fire-resistant life history stages. An increasing strength of grass feedback on fire results in regular, predictable fires, which suggests that the system can also be modeled using a set of difference equations. We implement this discrete system using modified Leslie/Gower difference equations and demonstrate the existence of a bounded savanna state in this model framework. Our results confirm the potential for grass feedbacks to result in stable savannas, and indicate the importance of modeling fire as a discrete event rather than as a loss rate that is continuous in time.     

Erprobung und Erfolgskontrolle eines Phytoremediations-verfahrens zur Sanierung Sprengstoff-kontaminierter Böden

Results of a field experiment (please refer to Warrelmann et al. 2000a) document TNT-degradation and regeneration after the establishment of a phytoremediation. Various approaches are included in a complex monitoring system, which are conducted in the field (nitroaromatics in soil, seepage water, and plants; soil fauna; soil fungi; decomposition) as well as in the lab (a battery of 6 biotests). The data document a high heterogeneity of the TNT-contamination, a rapid initial decrease and a mediocre displacement of nitroaromatics in plants and seepage water. The initial rapid transformation of TNT to aminodinitrotoluenes ceases significantly after 3 months. Results of the biotest battery allow a sophisticated assessment of soil toxicity; the results from the soil ecological field investigations make the long-term effects of TNT-contamination likely. In a third part of the series of articles, a synopsis and judgement of the project will be delivered.     

横断山区干旱河谷气候变化趋势研究

利用横断山区干旱河谷内20个典型气象台站的长时序逐月气温、降水、相对湿度、日照时间、极端最高气温和极端最低气温等数据,采用线性倾向估计、Mann-Kendall趋势检验以及集中度和集中期等分析方法,研究了横断山区干旱河谷的气候变化趋势.结果表明：（1）全球变化背景下,横断山区干旱河谷平均气温总体呈现升高趋势,升幅为0.11℃·（10 a）-1,较整个横断山区的0.15℃·（10 a）-1略低,冬季升温幅度高于其他季节;（2）金沙江下游的元谋、东川和巧家段河谷呈现持续降温趋势,特别是春季降温较为明显;（3）横断山区干旱河谷降水量呈微弱减少趋势,为-1.48 mm·（10 a）-1,这主要是由于夏季降水减少量超过其他季节降水增加量所致;（4）多数河谷站点年降水量的集中度呈微弱下降趋势,而集中期则有所提前,但不明显;（5）干旱河谷相对湿度和日照时间在近几十年间均呈现减少趋势,相对湿度每10 a约减少0.16百分点,而日照时间则平均每10a减少24.26 h.     

Phytoplankton patchiness and their role in the modelled productivity of a large, seasonally stratified lake

Phytoplankton concentration in Lake Kinneret (Israel) has varied up to 10-fold in space and time, with horizontal patches ranging from a couple of kilometres to a basin scale. Previous studies have used a 1D model to reproduce the temporal evolution of physical and biogeochemical variables in this lake. The question that arises then is how appropriate is a 1D approach to represent the dynamic of a spatially heterogeneous system, where there are non-linear dependencies between variables. Field data, a N-P-Z model coupled to both a 1D and a 3D hydrodynamic model, a 1D diffusion-reaction equation and scaling analysis are used to understand the role of spatial variability, expressed as phytoplankton patchiness, in the modelling of primary production. The analysis and results are used to investigate the effect of horizontal variability in the forcing and in the free mechanisms that affect the growth of patterns. The study shows that the use of averaged properties in a 1D approach may produce misleading results in the presence of localised patches, in terms of both concentration and composition of phytoplankton. The reason lies in the fact that the calibration process of ecological parameters in the 1D model appears to be site and process specific. That is, it depends on the pattern's characteristics and the underlying physical processes causing them. And this is a critical point for the success of numerical simulations under spatial variability. In this study, it is also shown that a length scale based on diffusion and growth rate of phytoplankton could be used as a criterion to assess the appropriateness of the 1D assumption.     

烟区烟草根际与非根际土壤微生物的生态因子作用分析

烟草根际和非根际土壤的理化性质、微生物区系和土壤酶之间的相互关系尚缺乏系统研究。对南阳烟区6种土壤包括黄褐土和黄棕壤等共13个取样点的烟草根际和非根际土壤的分析表明,根际与非根际微生物之间没有对应相关关系。根际土壤真菌数与解钾菌数、硝化细菌数显著正相关;非根际土壤荧光假单胞菌数与细菌芽孢数极显著正相关,氨化细菌数与放线菌数显著负相关。与土壤容重和空隙度显著相关的仅有根际真菌数(正相关)。与土壤全氮呈显著正相关的分别有根际荧光假单胞菌、纤维素分解菌(正相关)以及根际解磷菌和非根际真菌(负相关)。土壤全C与根际细菌总数显著负相关。土壤pH与非根际纤维素分解菌显著正相关。速效P与非根际放线菌数呈显著正相关。根际土壤蛋白酶活性与根际细菌总数极显著负相关。非根际土壤蛋白酶活性则分别与非根际放线菌和解钾菌显著正相关。根际土壤脲酶活性分别与根际真菌、解磷菌显著正相关,非根际脲酶活性则与非根际纤维分解菌显著正相关。非根际土壤过氧化氢酶活性与非根际细菌总数显著正相关。     

Risk,Risk Aversion,and On-Farm Soil Depletion

This paper studies the production and attendant soil depletion choices of a risk-averse farmer in two related models. The first is a two-date model with uncertainty in both production and end-of-period land price. The second is a three-date model in which production and consumption choices are made in both periods, but there is uncertainty only in the second period. In both models, the paper identifies plausible conditions under which a higher level of initial farmer wealth and/or a lower level of production and land risk lead to a lower level of output and, as a result, a lower level of output-induced soil depletion.     

Selective photoreduction of acetonitrile to acetaldehyde in dilute aqueous solutions

Acetonitrile is a commonly used solvent in both industry and research. The treatment of acetonitrile wastes in dilute aqueous solutions with visible light offers advantages to chemical treatment and ultraviolet (UV) irradiation. This study presents the degradation of acetonitrile via a photoinduced electron transfer reaction in the presence of a photosensitizer (dye) and a sacrificial reductant under visible light. Acetonitrile photodegradation (photoreduction) was investigated utilizing a variety of sacrificial reductants and photosensitizers. Optimal results were observed in the presence of methylene green and tri-isopropanolamine with a decrease of acetonitrile in solution to 86% in 24 hours. The only photoreaction product observed was acetaldehyde and a plausible mechanism for the photochemical degradation of acetonitrile is proposed.     

Harvest in a fluctuating environment and conservative harvest for the Fox surplus production model

Relations between optimal yield and abundance in a fluctuating environment and conditions for a conservative level of harvest were obtained for the Fox surplus production model and compared with those for the logistic surplus production model. Environmental variation was included in the optimization of harvest with the Fox surplus production model to obtain a relation in which the maximum sustainable yield (MSY) and biomass at the MSY varied as the environment varied. The relation can be applied for management of fisheries at the optimum levels in a fluctuating environment. For both models there is only one maximum sustainable yield under equilibrium conditions, but in a variable environment the maximum sustainable yield and optimum biomass and effort vary as the environment varies. The results were applied to the blue crab (Callinectes sapidus) fishery of the Chesapeake Bay. Although several numerical results for the logistic and Fox models were similar, the parameter estimates were different and the Fox model predicted a much larger decrease in population abundance at the MSY. Harvesting at a conservative level with either the Fox model or the logistic model could increase blue crab abundance substantially with little decrease in harvest. At a conservative level of harvest, there is a 20% increase in biomass with a 6% decrease in yield for the logistic model and a 37% increase in biomass with a 9% decrease in yield for the Fox model. Both the Fox and the logistic surplus production models indicate that the blue crab fishery has been consistently over harvested.     

Predicting a ‘tree change’ in Australia's tropical savannas: Combining different types of models to understand complex ecosystem behaviour

In this study, key ecological modelling limitations of a process-based simulation model and a Bayesian network were reduced by combining the two approaches. We demonstrate the combined modelling approach with a case study investigating increases in woody vegetation density in northern Australia's tropical savannas. We found that by utilising the strengths of a simulation model and a Bayesian network we could both forecast future change in woody vegetation density and diagnose the reasons for current vegetation states. The local conditions of climate, soil characteristics and the starting population of trees were found to be more important in explaining the likelihood of change in woody vegetation density compared to management practices such as grazing pressure and fire regimes. We conclude that combining the strengths of a process and BN model allowed us to produce a simple model that utilised the ability of the process model to simulate ecosystem processes in detail and over long time periods, and the ability of the BN to capture uncertainty in ecosystem response and to conduct scenario, sensitivity and diagnostic analysis. The overall result was a model that has the potential to provide land managers with a better understanding of the behaviour of a complex ecosystem than simply utilising either modelling approach in isolation.     

养殖场饲养鸡对苯并[a]芘的摄入、排泄和积累

在北京市郊区一家中等规模养鸡场采集了不同品种和不同生长阶段的饲养鸡的肌肉和内脏样品,并同步采集了鸡蛋、饲料、粪便和大气样品,测定了其中苯并[a]芘的浓度,据此分析了苯并[a]芘在饲养鸡体内的积累、排泄和代谢的动态过程.结果显示,饲养鸡体内各组织苯并[a]芘的湿重浓度在0.024～0.15ng·g-1之间,肌肉中的浓度显著低于其它组织;饲料和粪便中的浓度显著高于体内各组织浓度.饲养鸡体内摄入的苯并[a]芘约60%在体内代谢,约三分之一直接排泄进入粪便,仅有少量残留在体内如表皮、肌肉和其他器官中.肌肉、肝脏和胃中苯并[a]芘浓度和总累积量的动态变化规律不尽相同.北京居民摄食类似鸡肉导致的对苯并[a]芘的暴露量较春、秋、冬季呼吸暴露量低两个量级,与夏季呼吸暴露量相当.     

中国华南地区持续干期日数时空变化特征

利用华南地区46个地面气象站1960-2012年逐日降水数据,分析该地区各季节持续干期日数的时空分布特征。结果表明：1）近53年来,华南地区春季和夏季的持续干期日数呈波动下降趋势,下降速率分别为0.042和0.108 d·（10 a）-1;秋季和冬季的持续干期日数呈波动上升趋势,上升速率分别为1.911和0.118 d·（10 a）-1。广东省春季和夏季持续干期日数呈下降趋势,下降速率分别为0.171和0.243 d·（10 a）-1;秋季和冬季持续干期日数呈增加趋势,增加速率分别为1.737和0.32 d·（10 a）-1。广西省春、夏和秋季持续干期日数呈增加趋势,增加速率分别为0.109、0.046和2.117 d·（10 a）-1;冬季为减小趋势,减少速率为0.106 d·（10 a）-1。2）华南地区持续干期日数在春季呈从北向南逐渐增多的趋势,夏季呈自西南向东北逐渐增加的趋势,秋季呈自西向东逐渐增加的趋势,冬季呈从北向南逐渐增多的趋势。冬季的持续干期日数是4个季节中最长的,大致在20~44 d。3）华南地区春季持续干期日数变化倾向率在-1.20~1.00 d·（10 a）-1之间,增加趋势最明显的区域是广西省的南部地区,减少趋势最明显的区域是广东省的沿海地区;夏季在-1.00~0.60 d·（10 a）-1之间,呈增加趋势的区域主要位于广西省的中部和南部,呈减少趋势的区域位于广东省大部分地区和广西省的东部;秋季在0~3.50 d·（10 a）-1之间,整体呈现增加趋势,变化倾向率较大的区域主要位于广西省的中部和广东省的东北部沿海地区;冬季在-1.50~2.00 d·（10 a）-1之间,呈增加趋势的区域主要集中在广东省的中南部和东部地区,以及广西的东部边缘,呈减少趋势的区域主要集中在广东省的北部以及广西的中部和西北部地区。持续干期日数增加趋势最明显的季节是秋季。4）持续干期日数与降水量表现出负相关性,与气温和无降水日数表现为正相关性。降水量和无降水日数的变化对持续干期日数的变化起着重要的作用,而温度对持续干期日数的影响比较小。     

Community Tolerance Comparison As A New and Sensitive Ecotoxicological Tool

The demonstration of an increased tolerance to a pollutant is direct evidence that this pollutant has presented a selection pressure upon a population or community. Recently, pollution-induced community tolerance (PICT) has been applied to the benthic community in a metal-enriched estuary to establish causal linkage between observed changes in community structure and composition and the presence of copper. This paper describes the rationale and methodology behind applying PICT to the marine benthic environment, and shows it to be a sensitive ecotoxicological tool. It also presents a case study, demonstrating how a PICT investigation has aided the interpretation of changes in a benthic community, establishing a causal linkage between these changes in the community and the presence of a specific pollutant.     

Community Tolerance Comparison As A New and Sensitive Ecotoxicological Tool

The demonstration of an increased tolerance to a pollutant is direct evidence that this pollutant has presented a selection pressure upon a population or community. Recently, pollution-induced community tolerance (PICT) has been applied to the benthic community in a metal-enriched estuary to establish causal linkage between observed changes in community structure and composition and the presence of copper. This paper describes the rationale and methodology behind applying PICT to the marine benthic environment, and shows it to be a sensitive ecotoxicological tool. It also presents a case study, demonstrating how a PICT investigation has aided the interpretation of changes in a benthic community, establishing a causal linkage between these changes in the community and the presence of a specific pollutant.     

The cellular basis of photobehavior in the tufted parenchymella larva of demosponges

The mechanisms by which light elicits a phototactic response in sponge larvae remain poorly understood. Here we investigate histological and behavioral aspects of the photoresponse in parenchymella larvae of three demosponges. Two species are photonegative during their entire larval life, while the other, initially photopositive, becomes photonegative only after swimming in the laboratory for 4 h to 6 h. All larvae are bullet-shaped, with a uniformly ciliated surface, except at their posterior end, which is unciliated but surrounded by a distinctive ring of long cilia, the tuft. The short cilia beat metachronally, generating the thrust to move the larva forward with clockwise rotation. The long cilia of the tuft do not beat metachronally and are apparently more involved in maneuvering than in the generation of thrust. Transmission electron microscopy revealed in one species that the axoneme of the short cilia contains a distinctive "9×3+2" microtubule pattern at its base, but the presence of such an arrangement in cilia of the tuft remains uncorroborated. Nevertheless, the differences in beating characteristics between the monociliated cells of the tuft and those in the rest of the body correspond to other cytological differences. Cilia of the tuft have a type-I basal body, a large basal foot, and a branched rootlet, whereas the remaining cilia have a type-II basal body, a smaller and simpler basal foot, and an unbranched rootlet. Furthermore, the cells forming the tuft have a characteristic distal protrusion filled with pigments and mitochondria. Several of these traits suggest that the monociliated cells of the tuft are involved in the larval photoresponse both as sensors and effectors. Drastic changes in light intensity have no effect on the beating of the short cilia. In contrast, they cause a predictable and instantaneous movement of each cilium in the tuft, triggering expansions and contractions of either a part or the entire tuft, which in turn alters the direction of swimming. Observations on free-swimming larvae suggest that the tuft works as a passive light-sensitive rudder in both photonegative species that contract their posterior cilia under high irradiance and in photopositive species that expand their cilia under high irradiance. However, in photonegative larvae that expand the tuft under high irradiance, an active ciliary coordination by the larva needs to be invoked to explain a deviation of the swimming trajectory.     

A case for quantile regression in behavioral ecology: getting more out of flight initiation distance data

A central goal of behavioral ecology is to quantify and explain variation in behavior. While much previous work has focused on the differences in mean behavior across groups or treatments, we present a complementary approach studying changes in the distribution of the response variable. This is important because changes in the edges of a distribution may be more informative than changes in the mean if behavior at the edges of a distribution better reflects behavioral constraints. Quantile regression estimates the rate of change of conditional quantiles of a response variable and thus allows the study of changes in any part of its distribution. Although quantile regression is gaining popularity in the ecological literature, it is strikingly unused in behavioral ecology. Here, we demonstrate the usefulness of this method by analyzing the relationship between the starting distance (SD) at which an observer approach a focal animal and its flight initiation distance (FID, the distance between the observer and the animal when it decides to flee). In particular, we used a simple model of flight initiation distance to show that in most situations ordinary least-square regression cannot be used to analyse the SD–FID relationship. Quantile regression conducted on the lowest quantiles appears more robust and we applied this approach to data from four bird species. Overall, changes in the lowest FID values appeared to be the most informative to determine if a species displays a “flush early” strategy, a strategy which has been hypothesized to be a general rule. We hope this example will bring quantile regression to the attention of behavioral ecologists as a valuable tool to add to their statistical toolbox.     

Desirable design characteristics for long-term monitoring of ecological variables

Long-term environmental monitoring places a set of demands on a sampling strategy not present in a survey designed for a single time period. The inevitability that a sample will become out of date must be a dominant consideration in planning a long-term monitoring programme. The sampling strategy must be able to accommodate periodic frame update and sample restructuring in order to address changes in the composition of the universe and changes in the perception of issues leading to new questions and concerns. The sampling strategy must be capable of adapting to such changes while maintaining its identification as a probability sample and its capacity to detect trends that span the update occasions. These issues are examined with respect to sub-population estimation, post-stratification via conditioning, and sample enlargement and reduction. Design features that involve complex sample structure create potentially serious difficulties, whereas an equal probability design permits greater adaptability and flexibility. Structure should be employed sparingly and in awareness of its undesirable effects.