Lobar holoprosencephaly: prenatal MR diagnosis with postnatal MR correlation

Holoprosencephaly is a congenital anomaly characterized by lack of cleavage of the prosencephalon. Although, relatively rare, it is the most common anomaly that involves both the brain and the face. Prenatal diagnosis of this anomaly using ultrasonography, particularly of the less severe forms, is difficult. Magnetic resonance imaging has recently become an important complement to US in prenatal diagnosis of CNS anomalies. We herein report a patient in whom, at 23 weeks of gestation, US suggested agenesis of the corpus callosum and in whom, at 24 weeks of gestation, MRI correctly diagnosed lobar holoprosencephaly, which was confirmed by a postnatal MRI at 3 weeks of age. Copyright © 2005 John Wiley & Sons, Ltd.     

The Southeastern Aerosol Research and Characterization Study: Part II. Filter-based measurements of fine and coarse particulate matter mass and composition

The Southeastern Aerosol Research and Characterization Study (SEARCH) was implemented in 1998-1999 to provide data and analyses for the investigation of the sources, chemical speciation, and long-term trends of fine particulate matter (PM2.5) and coarse particulate matter (PM10-2.5) in the Southeastern United States. This work is an initial analysis of 5 years (1999-2003) of filter-based PM2.5 and PM10-2.5 data from SEARCH. We find that annual PM2.5 design values were consistently above the National Ambient Air Quality Standards (NAAQS) 15 microg/m3 annual standard only at monitoring sites in the two largest urban areas (Atlanta, GA, and North Birmingham, AL). Other sites in the network had annual design values below the standard, and no site had daily design values above the NAAQS 65 microg/m3 daily standard. Using a particle composition monitor designed specifically for SEARCH, we found that volatilization losses of nitrate, ammonium, and organic carbon must be accounted for to accurately characterize atmospheric particulate matter. In particular, the federal reference method for PM2.5 underestimates mass by 3-7% as a result of these volatilization losses. Organic matter (OM) and sulfate account for approximately 60% of PM2.5 mass at SEARCH sites, whereas major metal oxides (MMO) and unidentified components ("other") account for > or = 80% of PM10-2.5 mass. Limited data suggest that much of the unidentified mass in PM10-2.5 may be OM. For paired comparisons of urban-rural sites, differences in PM2.5 mass are explained, in large part, by higher OM and black carbon at the urban site. For PM10, higher urban concentrations are explained by higher MMO and "other." Annual means for PM2.5 and PM10-2.5 mass and major components demonstrate substantial declines at all of the SEARCH sites over the 1999-2003 period (10-20% in the case of PM2.5, dominated by 14-20% declines in sulfate and 11-26% declines in OM, and 14-25% in the case of PM10-2.5, dominated by 17-30% declines in MMO and 14-31% declines in "other"). Although declining national emissions of sulfur dioxide and anthropogenic carbon may account for a portion of the observed declines, additional investigation will be necessary to establish a quantitative assessment, especially regarding trends in local and regional emissions, primary carbon emissions, and meteorology.     

The economic impact of sea-level rise on nonmarket lands in Singapore

Sea-level rise, as a result of climate change, will likely inflict considerable economic consequences on coastal regions, particularly low-lying island states like Singapore. Although the literature has addressed the vulnerability of developed coastal lands, this is the first economic study to address nonmarket lands, such as beaches, marshes and mangrove estuaries. This travel cost and contingent valuation study reveals that consumers in Singapore attach considerable value to beaches. The contingent valuation study also attached high values to marshes and mangroves but this result was not supported by the travel cost study. Although protecting nonmarket land uses from sea-level rise is expensive, the study shows that at least highly valued resources, such as Singapore's popular beaches, should be protected.     

性别和暴露时间对全氟辛烷磺酸（PFOS）暴露后斑马鱼基因表达的影响

全氟辛烷磺酸（PFOS）是全氟和聚氟烷基物质（PFASs）人造类别中的一员,是全世界在水体、人类、哺乳动物和鱼类中最常检测到的PFAS之一。斑马鱼（Danio rerio）是一种小型淡水鱼类,被认为是研究化合物毒性的合适的脊椎动物模型。先前的研究表明,雄性和雌性斑马鱼中脂肪酸结合蛋白（fabps）的组织特异性生物蓄积和表达的改变可能是由于PFAS和脂肪酸转运体之间的相互作用。此外,有报道显示人类和动物暴露于PFAS后导致神经系统的影响。因此,本研究旨在探讨PFOS暴露是否影响斑马鱼肝脏、肠道、心脏和卵巢脂肪酸代谢相关基因（fabp1a、fabp2和fabp10a）,以及大脑和肌肉中涉及神经系统的基因（ChAT、ngf、bdnf、AChE和hdac6）的表达。结果表明,与脂肪酸代谢和神经功能相关的基因表达随暴露浓度和性别的变化而变化。此外,我们的发现强调了这些基因的表达随暴露时间的不同而不同。我们的研究结果将PFOS作用的知识基础扩展到其他组织,而不是仅限于研究较为透彻的肝脏。这项调查结果为今后研究PFOS作为环境中最丰富的PFAS之一的潜在风险提供了依据。     

Investigating cumulative effects across ecological scales

Species, habitats, and ecosystems are increasingly exposed to multiple anthropogenic stressors, fueling a rapidly expanding research program to understand the cumulative impacts of these environmental modifications. Since the 1970s, a growing set of methods has been developed through two parallel, sometimes connected, streams of research within the applied and academic realms to assess cumulative effects. Past reviews of cumulative effects assessment (CEA) methods focused on approaches used by practitioners. Academic research has developed several distinct and novel approaches to conducting CEA. Understanding the suite of methods that exist will help practitioners and academics better address various ecological foci (physiological responses, population impacts, ecosystem impacts) and ecological complexities (synergistic effects, impacts across space and time). We reviewed 6 categories of methods (experimental, meta-analysis, single-species modeling, mapping, qualitative modeling, and multispecies modeling) and examined the ability of those methods to address different levels of complexity. We focused on research gaps and emerging priorities. We found that no single method assessed impacts across the 4 ecological foci and 6 ecological complexities considered. We propose that methods can be used in combination to improve understanding such that multimodel inference can provide a suite of comparable outputs, mapping methods can help prioritize localized models or experimental gaps, and future experiments can be paired from the outset with models they will inform.     

海南鹦哥岭的外来植物与生态环境影响评价

通过对鹦哥岭外来植物的调查,以及外来植物区系的种类组成、原产地、生长型、生境和危害程度等的分析,阐明鹦哥岭的外来植物现状及其对当地生态环境的影响。分析表明:共有53种外来植物,约占鹦哥岭种子植物总数的2.73%,主要来自新大陆热带地区(35种)。其中草本(36种)和灌木(13种)占优势,藤本(3种)和小乔木(2种)相对不明显。外来种对鹦哥岭自然生态系统的影响较小,对人为干扰严重的生态系统影响较大。最后对外来植物进行评估,并提出防控措施。     

Genetic structure of the scleractinian coral<Emphasis Type="Italic"> Platygyra sinensis</Emphasis> in Hong Kong

Genetic structure was studied in Platygyra sinensis from six sites in Hong Kong by allozyme electrophoresis using an isoelectric focusing gel (IEF). Seven variable loci were detected using six enzyme systems. The number of alleles per locus ranged from 3.3 to 3.6 in the six samples, and heterozygosity from 0.429 to 0.540. Genotype frequencies were generally close to Hardy–Weinberg expectations. The values of unique multilocus genotype to the number of individuals for each sample (N_G/N) and observed genotypic diversity to expected genotypic diversity (G_O/G_E) were high, indicating a high level of sexual reproduction. Variation in allele frequencies among sites was low (F_ST=0.017), as was Nei's unbiased genetic distance (D), suggesting genetic similarity among sites.Communicated by T. Ikeda, Hakodate     

The importance of age-related decline in forest NPP for modeling regional carbon balances.

We show the implications of the commonly observed age-related decline in aboveground productivity of forests, and hence forest age structure, on the carbon dynamics of European forests in response to historical changes in environmental conditions. Size-dependent carbon allocation in trees to counteract increasing hydraulic resistance with tree height has been hypothesized to be responsible for this decline. Incorporated into a global terrestrial biosphere model (the Lund-Potsdam-Jena model, LPJ), this hypothesis improves the simulated increase in biomass with stand age. Application of the advanced model, including a generic representation of forest management in even-aged stands, for 77 European provinces shows that model-based estimates of biomass development with age compare favorably with inventory-based estimates for different tree species. Model estimates of biomass densities on province and country levels, and trends in growth increment along an annual mean temperature gradient are in broad agreement with inventory data. However, the level of agreement between modeled and inventory-based estimates varies markedly between countries and provinces. The model is able to reproduce the present-day age structure of forests and the ratio of biomass removals to increment on a European scale based on observed changes in climate, atmospheric CO2 concentration, forest area, and wood demand between 1948 and 2000. Vegetation in European forests is modeled to sequester carbon at a rate of 100 Tg C/yr, which corresponds well to forest inventory-based estimates.