长白山树线交错带的生物量分配和净生产力

随山地垂直带海拔上升,环境恶化会影响到植物生物量的绝对量和相对量的分配,进而影响到生态系统的碳平衡。测定了位于长白山北坡海拔1900m树线交错带的两个林分:长白落叶松混交林和岳桦林的生物量分配和净生产力,并与低海拔相似林分进行了比较,探讨树线特殊环境下树木的生长反应和生态系统的碳投资策略。树线交错带林分生物量和生产力都出现急剧降低,冠层树干生物量比例急剧降低,而枝、叶生物量比例有显著增加。而根系比例和地下/地上生物量比在两种林分表现出不同的反应,树线落叶松混交林出现急剧增加,而树线岳桦林与低海拔岳桦林相比没有显著差别。枝、叶生物量比例增加,特别是叶生物量分配增加有利于在树线恶劣环境的碳吸收和碳平衡,是对树线交错带大风、积雪等恶劣气候的可塑性适应,树木在树线出现多分枝、矮曲生长型。树线地带落叶松混交林和岳桦林的净生产量也出现急剧降低,但根系生产量比例则较低海拔同类林分高,有利于对土壤中水分和养分的吸收。     

氯代芳香族化合物结构-电化学还原电位定量关系的贝叶斯规整化BP神经网络模型

将贝叶斯规整化误差反向传播神经网络(BRBPNN)应用于环境领域的 QSPR模型.采用ChemOffice2004内置的MOPAC 2000计算了6种量子化学参数(分子最高占据能EHOMO、分子最低占据能ELUMO、分子生成热HF、分子偶极矩DIP、分子的电子能量EE和分子的核核排斥能CCR)以及氯原子数(Cl)和分子量(MW),建立了87种氯代芳香族化合物结构与电化学还原电位定量关系的BRBPNN模型.最优网络模型结构为6-20-1,其电化学还原电位的拟合及预测能力明显优于逐步线性回归模型,其训练集和预测集的相关系数平方和均方根误差(MSE)分别达到0.999和0.000105,0.965和 0.00159.最优模型输入节点到隐含层权重平方和的分布规律揭示出各种描述符对还原电位的影响大小依次为: E_LUMO>E_HOMO>HF>CCR>EE>DIP.由散点图揭示出影响为正有EE;影响为负有E_LUMO,HF,DIP;影响无明显正负性的有E_LUMO,CCR.结果表明,贝叶斯规整化大大方便了网络规整化参数选择,保证了网络的优良概括能力和稳健性.本研究对氯代芳香族化合物采用电化学处理的适用性以及分析相应电化学降解机理提供了依据.     

陆地生态系统净第一性生产力过程模型研究综述

陆地生态系统净第一性生产力的模拟已从统计模型发展到过程模型时代。过程模型从机理上对植物的生物物理过程以及影响因子进行分析和模拟,理论框架完整,结构严谨。论文从植物器官、个体、冠层、景观以及区域等不同尺度对过程模型进行分析。近年来,由于遥感和GIS技术的支持,使得遥感过程模型融合了遥感及时、准确、宏观、多尺度的优势而成为当前生产力模型的主攻方向。遥感过程模型可实现生态系统NPP的及时模拟和动态监测,便捷、准确地反映NPP的时空变化格局。而在NPP建模过程中,尺度转换是所面临的一个重要问题。不同尺度模型间扩展时,需要采取相应的数学手段进行尺度转换,同时遥感和GIS技术提供了尺度转换的有力工具。综观我国NPP研究的发展,起步晚、发展快是其特点。虽然取得了大量的研究成果,但过程模型的建模方面还很不足,这是一个亟待解决的问题。     

A miniature stainless steel net dumbbell-shaped stir-bar for the extraction of phthalate esters in instant noodle and rice soup samples

Abstract

This work reports the development of a very-simple-to-construct stir-bar extraction device so called “a dumbbell-shaped stainless steel stir-bar.” The extraction device was assembled from a rolled up stainless steel net filled with an XAD-2 sorbent and a metal rod to allow the use of a magnetic stirrer during extraction. The dumbbell-shaped stainless steel stir-bar was used to extract diethyl phthalate (DEP), dibutyl phthalate (DBP), and di(2-ethylhexyl) phthalate (DEHP) before analysis by a gas chromatograph equipped with an electron capture detector (GD-ECD). Under the optimal conditions, the developed method provided a good linearity from 10.0 to 1,000.0?ng mL^?1 for all three compounds. Limits of detection and limits of quantification were 9.37?±?0.29?ng mL^?1 and 31.22?±?0.95?ng mL^?1 for DEP, 5.73?±?0.31?ng mL^?1 and 19.1?±?1.0?ng mL^?1 for DBP and 3.30?±?0.06?ng mL^?1 and 11.0?±?0.19?ng mL^?1 for DEHP, respectively. Good recoveries in the range of 81.89?±?0.17 to 109.5?±?2.0% were achieved when the method was used to extract phthalate esters in five instant noodle and two rice soup samples.     

A method to estimate pre-exploitation population size

Antarctic fur seals (Arctocephalus gazella) were commercially exploited on the subantarctic island of South Georgia for over 100 years and nearly driven to extinction. Since the cessation of harvesting, however, their populations have rebounded, and they are now often considered a nuisance species whose impact on the terrestrial landscape should be mitigated. Any evaluation of their current population requires the context provided by their historic, pre-exploitation abundance, lest ecologists fall prey to shifting baseline syndrome in which their perspective on current abundance is compared only with an altered state resulting from past anthropogenic disturbance. Estimating pre-exploitation abundance is critical to defining species recovery and setting recovery targets, both of which are needed for the International Union for the Conservation of Nature's recent efforts to develop a green list of recovering species. To address this issue, we reconstructed the South Georgia fur seal harvest from 1786 to 1908 from ship logbooks and other historical records and interpolated missing harvest data as necessary with a generalized linear model fit to the historical record. Using an approximate Bayesian computation framework, harvest data, and a stochastic age-structured population model, we estimated the pre-exploitation abundance of Antarctic fur seals on South Georgia was 2.5 million females (95% CI 1.5–3.5 million). This estimate is similar to recent abundance estimates, and suggests current populations, and the ecological consequences of so many fur seals on the island, may be similar to conditions prior to human harvest. Although the historic archive on the fur sealing era is unavoidably patchy, the use of archival records is essential for reconstructing the past and, correspondingly, to understanding the present. Article impact statement: Defining species recovery requires an understanding of baseline population state, which can be estimated through statistical methods.     

Quantitative sensitivity and reliability analysis of sensor networks for well kick detection based on dynamic Bayesian networks and Markov chain

Kick is considered as an early warning sign to the blowout that is among the most undesired and feared accidents during drilling operations. Kick detection system is commonly used to timely identify the occurrence of a kick. The method commonly used for kick detection relies on the proper selection of monitoring indicators. A kick detection system should not only have very high accuracy but also maintain reliable over a long time. Different from the existing studies focusing on improving the detection accuracy, this paper presents a frame emphasizing on quantitatively analyzing and enhancing the reliability of the kick detection sensor networks. The dynamic Bayesian network (DBN) for the sensor networks is established that employs Markov chain to obtain the reliability degradation of measurement sensors over time. The proposed method is applied and evaluated by case studies to conduct reliability and sensitivity analysis for kick detection sensor networks. The reliability analysis results demonstrate that the proposed method can quantitatively analyze the reliability of a kick detection sensor networks consisting of various sensors over given time periods. The sensitivity analysis results indicate that the proposed method is effective in identifying the critical sensors that have the greatest effect on the reliability of one certain kick detection system. Based on the analysis results, optimized logical combination of sensors of a kick detection system can be achieved. An improved sensor network for the unreliable case was proposed and evaluated.     

Accumulation of metals by vegetation in a small drainage area exposed to aerotechnogenic pollution

Trends in the accumulation of metals by different plant species have been analyzed in a forest phytocenosis of the southern taiga zone of the Middle Urals, which is polluted by emissions from a copper-smelting plant. The rate of metal accumulation in the course of annual and net phytomass production and metal outflow with surface waters beyond the biogeocenosis boundaries have been estimated.Translated from Ekologiya, No. 1, 2005, pp. 26–31.Original Russian Text Copyright © 2005 by Fedorova, Odintseva.     

老万场金矿及其外围水系沉积物元素地球化学特征

为揭示晴隆县老万场金矿及其外围水系沉积物的元素组成和富集情况与矿体的关系 ,将老万场金矿矿样、矿区水系沉积物、矿区外围不同异常范围内水系沉积物的元素平均值及全省的水系沉积物背景值进行了比较 ,发现老万场金矿水系沉积物与老万场金矿矿样具有相同的元素组合及富集趋势。     

基于贝叶斯网络分类的土壤盐渍化遥感监测

贝叶斯网络是一种将贝叶斯概率方法和有向无环图的网络拓扑结构有机结合的概率模型。采用贝叶斯网络分类对具有典型干旱特征的库车县土壤盐渍化情况进行监测，首先应用条件独立性测试原理建立贝叶斯网络结构，把研究区遥感数据进行离散化，然后应用贝叶斯定理作为分类原则，将每个像元分为像元最大概率的类别。研究结果表明该方法分类6种地类的整体分类精度达到96％，为该区盐渍地面积、空间分布等特征监测提供了较好的依据。     

模拟防尘网控制物料堆起尘的基本要求

介绍了防尘网一种多孔板,在模拟防尘网控制物料起尘时,为了能够更好地实现对低层大气湍流的模拟所应采用的一些基本要求。同时介绍了工程中防尘网在控制物料起尘时所采用的一些具体参数和造成起尘的起动风速。