泸沽湖沉积物α纤维素的提取及其稳定碳同位素研究初探

湖泊沉积是环境气候变化的敏感指示器 ,在沉积过程中有机大分子α纤维素不易发生降解 ,其碳链上的C、H、O原子也不会与外界发生交换 ,故沉积物α纤维素的碳同位素能真实地反映原始环境信息。湖泊沉积物中的α纤维素含量少 ,笔者经过反复条件试验 ,得出了从湖泊沉积物提取α纤维素的简便可行的方法。泸沽湖是云贵高原上一半封闭湖泊 ,湖区人为活动干扰较微弱 ,该湖对环境变化敏感。笔者提取了泸沽湖沉积物柱的α纤维素 ,并研究了其碳同位素 ,结果表明 ,α纤维素碳同位素灵敏、精确地反映了该湖一百年来的环境信息 :泸沽湖沉积物有机质以内生为主 ;气候变化趋势为冷—暖—冷—暖。     

7A04和2A97在典型气候环境中的性能演变规律研究

目的 研究湿热海洋、湿热雨林、暖湿酸雨典型气候环境对7A04和2A97铝合金性能的影响.方法 通过对7A04和2A97铝合金试样进行户外暴露试验,结合外观形貌观察、力学性能检测、化学成分分析等手段,研究7A04和2A97在典型气候环境中的性能演变规律.结果 对于7A04铝合金,经过2 a的湿热海洋气候环境试验后,表面出现均匀腐蚀,抗拉强度、伸长率下降,硬度无变化;经过2 a的湿热雨林气候环境试验后,外观形貌、抗拉强度、硬度无变化,伸长率下降;经过2 a的暖湿酸雨气候环境试验后,表面出现点蚀,抗拉强度、硬度无变化,伸长率下降.对于2A97铝合金,经过2 a的湿热海洋气候环境试验后,表面由点蚀发展为局部腐蚀,抗拉强度、伸长率下降,硬度无变化;经过2 a的湿热雨林气候环境试验后,外观形貌、抗拉强度、伸长率、硬度无变化;经过2 a的暖湿酸雨环境试验后,外观形貌、硬度无变化,抗拉强度、伸长率下降.结论 湿热海洋和暖湿酸雨气候环境对7A04和2A97易造成腐蚀,而湿热雨林气候环境对7A04和2A97不易造成腐蚀,2A97的耐蚀性优于7A04.     

The Dynamics of Rural Vulnerability to Global Change: The Case of southern Africa

Research on the agricultural impacts of global change frequently emphasizesthe physical and socioeconomic impacts of climate change, yet globalchanges associated with the internationalization of economic activity mayalso have significant impacts on food systems. Together, climate change andglobalization are exposing farmers to new and unfamiliar conditions.Although some farmers may be in a position to take advantage of thesechanges, many more are facing increased vulnerability, particularly in thedeveloping world. This paper considers the dynamics of agriculturalvulnerability to global change through the example of southern Africa. Wedemonstrate that the combination of global and national economic changesis altering the context under which southern African farmers cope withclimate variability and adapt to long-term change. We find that farmers whoformerly had difficulty adapting to climatic variability may become lessvulnerable to drought-related food shortages as the result of tradeliberalization. At the same time, however, removal of national credit andsubsidies may constrain or limit adaptation strategies of other farmers,leaving them more vulnerable to climate variability and change.     

Use of Integrated Modeling to Enhance Estimates of Population Dynamics Obtained from Limited Data

Abstract:  Demographic data of rare and endangered species are often too sparse to estimate vital rates and population size with sufficient precision for understanding population growth and decline. Yet, the combination of different sources of demographic data into one statistical model holds promise. We applied Bayesian integrated population modeling to demographic data from a colony of the endangered greater horseshoe bats (Rhinolophus ferrumequinum) . Available data were the number of subadults and adults emerging from the colony roost at dusk, the number of newborns from 1991 to 2005, and recapture data of subadults and adults from 2004 and 2005. Survival rates did not differ between sexes, and demographic rates remained constant across time. The greater horseshoe bat is a long-lived species with high survival rates (first year: 0.49 [SD 0.06]; adults: 0.91 [SD 0.02]) and low fecundity (0.74 [SD 0.12]). The yearly average population growth was 4.4% (SD 0.1%) and there were 92 (SD 10) adults in the colony in year 2005. Had we analyzed each data set separately, we would not have been able to estimate fecundity, the estimates of survival would have been less precise, and the estimate of population growth biased. Our results demonstrate that integrated models are suitable for obtaining crucial demographic information from limited data.     

长白山区沟谷乌拉苔草Carex meyeriana沼泽湿地气候效应

通过对长白山区沟谷沼泽典型乌拉苔草湿地土壤温度、乌拉苔草群落相对湿度、叶片温度、风速、光量子通量密度以及蒸腾速率的日变化和蒸腾速率的季节变化的研究,初步揭示沟谷乌拉苔草沼泽湿地的气候效应。结果表明长白山沟谷沼泽湿地具有三江平原沼泽同样的冷湿效应。土壤化通时间比三江平原化通时间提前1个多月,蒸腾速率日变化不同季节趋势基本一致,不同层次叶片的蒸腾速率日变化趋势基本一致,最大值在7至8月份蒸腾速率(H2O)达到100~140 mol.m-2.s-1。光量子通量密度与温度成正比,与湿度成反比,大气温度日变化和叶片温度日变化趋势基本相同,相对湿度的日变化趋势和大气温度的变化趋势正好相反,和光量子通量密度的变化趋势相反。沟谷湿地的同样具有小气候效应。     

Significance of Sighting Rate in Inferring Extinction and Threat

Abstract:  We are now entering a time of immense environmental upheaval in which, increasingly, experts are required to provide conservation assessments. Quantitative assessment of trends in species' range and abundance is costly, requiring extensive field studies over a long period of time. Unfortunately, many species are only known through a few "chance" sightings or a handful of specimens, and therefore extinction may be even harder to ascertain. Several methods have been proposed for estimating the probability of extinction. However, comparison within and between species is difficult because of variations in sighting rates. We applied a probabilistic method that incorporates sighting rate to the sighting record of Vietnamese slipper orchids ( Paphiopedilum ). The method generates a probability that another sighting will occur given the previous sighting rate and the time since last observation. This allows greater comparability between species discovered at different times. Its predictions were more highly correlated with the World Conservation Union criteria than previous methods. Trends in data collection and the political climate of a country, which affects access to material, are important potential sources of variation that affect sighting rates. A lack of understanding of the process by which data are generated makes inferring extinction from sighting records difficult because extinction status depends on how the sighting rate varies. However, such methods allow rapid conservation prioritization of taxa that are poorly known and would otherwise go unassessed.     

Air pollution effects on hospital admissions: a statistical analysis of parallel time series

A statistical model for longitudinal count data is used to examine the potential adverse health effects of ambient air pollution. Daily respiratory admissions to 164 acute care hospitals in Ontario are obtained for the period 1983 to 1988. Estimates of ozone levels in the vicinity of each hospital are determined from air pollution monitoring stations maintained by the Ontario Ministry of the Environment. Generalized estimating equation methods are used to make inferences about the regression and overdispersion parameters. The admission data display little evidence of serial correlation and extra Poisson variation. However, admission rates vary considerably among hospitals. This latter source of variation needs to be taken into account in examining the effects of air pollution on respiratory health status.     

基于BP网络的水质综合评价模型及其应用

讨论了BP网络模型存在的不足及建模条件,提出了建立合理的BP网络模型的基本原则和步骤.针对水质评价问题,通过在各类水质污染指标浓度区间内生成随机分布样本的方法,组成足够多用于BP网络训练、检验和测试用的样本,建立了辽河水质综合评价的BP网络模型;给出了区分不同类别水质的模型分界值样本和模型输出分界值.     

空气自动监测系统软件开发及数据整合模式探讨

空气自动监测系统的仪器仪表多样化，以及数据采集装置和数据格式的差异，给系统软硬件的集成，以及数据应用和管理带来了不便，也是构成空气自动监测信息化进程中的技术瓶颈之一，通过对空气自动监测系统软件开发和数据整合模式的对比分析，探讨了解决问题的途径。     

Incorporating Collateral Data in Conservation Biology

Abstract:  Conservation biologists often need to set ecological modeling assumptions or estimate parameters from sparse data. In some cases this problem can be addressed by incorporating data from closely related species or from the same species at different sites (i.e., collateral data). Currently no structured methods exist for incorporating such information. An analogous problem in Actuarial science is to set premium rates in situations with little direct data on claim frequency or size. The rates are estimated using actuarial credibility theory, which incorporates collateral data with the direct data. actuarial credibility theory combined with the actuarial control cycle financial management process also provides an adaptive mechanism for updating assumptions. This theory may have some utility for ecologists wanting to incorporate collateral data in an adaptive management framework, a companion to approaches such as Bayesian updating. We describe the historical development of actuarial credibility theory from early ad hoc methods to empirical Bayes approaches. We explore some of the theory's strengths, such as relative simple formulae for incorporation collateral data, and we explore some of the theory's weaknesses, such as the use of the best linear approximation to the Bayes estimate. We illustrate potential applications of the theory using an example on the mortality rate of the Powerful Owl (  Ninox strenua ).