Uncertainty, learning, and the optimal management of wildlife

Wildlife management is limited by uncontrolled and often unrecognized environmental variation, by limited capabilities to observe and control animal populations, and by a lack of understanding about the biological processes driving population dynamics. In this paper I describe a comprehensive framework for management that includes multiple models and likelihood values to account for structural uncertainty, along with stochastic factors to account for environmental variation, random sampling, and partial controllability. Adaptive optimization is developed in terms of the optimal control of incompletely understood populations, with the expected value of perfect information measuring the potential for improving control through learning. The framework for optimal adaptive control is generalized by including partial observability and non-adaptive, sample-based updating of model likelihoods. Passive adaptive management is derived as a special case of constrained adaptive optimization, representing a potentially efficient suboptimal alternative that nonetheless accounts for structural uncertainty.     

Elevated alpha-fetoprotein and human chorionic gonadotropin as a marker for placental trisomy 16 in the second trimester?

In a series of 2961 consecutive cases with second-trimester biochemical triple screening for Down's syndrome and neural tube defect (NTD), ten (0.3 per cent) showed an apparent increased risk for both conditions. Three cases had chromosomal abnormalities, namely trisomy 16 confined to the placenta. Since placental trisomy 16 as well as cases with increased alpha-fetoprotein (AFP) and human chorionic gonadotropin (hCG) are associated with (intrauterine growth retardation (IUGR), oligohydramnios, and fetal demise, at least some cases with this atypical biochemical profile could be explained by this chromosomal abnormality. From our results we recommend that in cases with increased risk for both Down's syndrome and NTD, fetal karyotyping should preferably be done on a placental biopsy, especially when ultrasound in the absence of anomalies demonstrates early IUGR.     

利用PCR-DGGE研究膜生物反应器中微生物的群落结构

使用聚合酶链式反应-变性梯度凝胶电泳技术(PCR-DGGE)考查了天津某再生水处理厂膜生物反应器(Membrane Bioreactor,简称MBR)培养驯化直至正常运行全过程中总细菌群落结构的演替情况.结果表明,在MBR环境中,接种的传统活性污泥中的微生物群落在几天内发生了较大的变化,在进污水驯化时,微生物群落也遭受了冲击,最后经过培养驯化趋于稳定,一些菌种逐渐成长为顶级优势微生物,在反应器内占据主导地位.最终该反应器逐渐形成了自己独有的微生物群落生态系统.另外,对该微生物群落的部分优势总细菌进行了克隆测序和系统发育树分析,通过鉴定获得的10条总细菌的16S rDNA序列,它们分别与气单胞菌属、假单胞菌、亚硝酸菌属、丛毛单胞菌属和杆菌的同源性在97%以上,这些优势微生物在MBR反应器去除有机物的过程中起到了关键的作用.     

溶藻放线菌的分离鉴定及其溶藻特性

从水华发生水塘的泥土中分离到一株溶藻放线菌L74,对该菌溶解铜绿微囊藻、鱼腥藻、颤藻、水华束丝藻的效果及溶藻方式进行了研究,利用16SrDNA序列分析对其进行了鉴定。结果表明,该菌不仅对铜绿微囊藻具有良好的溶藻效果,而且对鱼腥藻、颤藻、水华束丝藻也有良好的去除作用。对铜绿微囊藻的效解作用依赖于初始菌浓度,当初始藻液中菌浓度>1×104cfu/mL时,可产生明显的溶藻作用,6d后对铜绿微囊藻的去除率达82.6%。通过溶藻方式的研究发现,该菌菌体和胞外代谢产物都具有溶藻作用,且这种胞外代谢产物对温度敏感,当温度达到110℃时会使该溶藻物质失去活性。16SrDNA序列分析表明L74菌与多株弗氏链霉菌的16SrDNA核苷酸序列的同源性达到了100%,归属于弗氏链霉菌。     

基于Miseq测序与碳平衡的生物滴滤床降解甲苯研究

在甲苯进气浓度为1 640 mg/m3,进气负荷为198.11 g/(m3·h),系统停留时间(EBRT)为30 s的条件下,生物滴滤床对甲苯的去除率达到84%,去除负荷为166.41 g/(m3·h)。碳平衡计算表明:22.27%的输入碳源为微生物所同化,59.52%的碳以CO2形式排出,仅有2.46%的碳溶于营养液中。在出口气体中,以CO2形式存在的碳占79.08%,其余则以甲苯形式存在。经Miseq-16S rRNA测序平台分析可知,该生物反应器中的优势菌属为假单胞菌、丛毛单胞菌和红球菌属,优势菌门为变形菌门、拟杆菌门和酸杆菌门。其中,变形菌门和拟杆菌门在反应器中所占比例在经过驯化之后显示出相反的变化趋势。     

基于高通量绝对定量测序解析岗南水库微生物群落的时空分布特征及关键驱动因素

为了探究水源水库微生物群落时空演变特征及其环境驱动因子,采用高通量绝对定量测序技术,结合数据分析了相对定量和绝对定量对岗南水库微生物群落演变和驱动因子的影响.结果表明,基于绝对定量的微生物群落α-多样性呈现出明显的季节差异(p＜0.05),基于相对定量的微生物群落α-多样性没有差异;绝对定量的微生物群落a-多样性高于相...     

三甲胺降解细菌的分离、降解特性及其系统发育分析

分别从稻田土壤和城市污水处理厂的活性污泥中分离得到 2株三甲胺降解菌 2 2和 5 1 .分离菌株为革兰氏染色反应阴性的球菌和短杆菌 ,菌株大小为球菌直径 0 5～ 0 9μm ,短杆菌长 0 9～ 1 2 μm ,不运动 .分离菌株均能在好氧和厌氧条件下利用三甲胺作为唯一碳源 ,生成中间产物二甲胺和甲胺 ,最终将其矿化 .根据其生理生化性状和 1 6SrDNA序列分析结果表明 ,分离菌株为副球菌属 (Paracoccussp .) ,其序列与Paracoccusaminovorans菌株序列的相似性均为 98 8% .     

硫铁填料和微电流强化再生水脱氮除磷的研究

为提高再生水质量,在不同C/N和HRT条件下,对比分析硫铁复合填料和微电流作用强化再生水深度脱氮除磷效果.结果表明,硫铁复合填料和微电流作用均能够强化氮、磷的深度去除效果,且二者结合能够使反硝化系统pH值稳定在7.2~8.5之间.系统中TN主要靠异养反硝化、氢自养反硝化和硫自养反硝化作用去除,94.04%的TP是以生成磷酸铁沉淀的形式去除.分别从填料上取生物膜,进行Miseq高通量测序,构建细菌16S rRNA基因克隆文库.结果发现,在仅有海绵铁作用系统中,同时具有异养反硝化和氢自养反硝化功能的细菌所占比例达到29.47%;硫铁复合填料和硫铁微电流作用系统中,具有硫自养反硝化功能的Thiobacillus(硫杆菌属)所占比例分别达到60.47%和40.62%.因此,硫铁复合填料和微电流作用用于强化再生水深度脱氮除磷具有明显的优势.     

Characterisation and identification of carbofuran-utilising bacteria isolated from agricultural soil

A total of 96 bacterial cultures were isolated from soil. Seventeen bacterial isolates were selected following their cultivation on solid media containing 100 mg · L^?1 carbofuran as the sole source of carbon and nitrogen. Of the 17 isolates, 10F, 11M, 17N, 23B and 26M were specifically chosen because of their relatively higher growth efficiency and genetic diversity based on Box-polymerase chain reaction analysis. These bacterial cultures had 16S rRNA gene sequences that were most similar to Acinetobacter baumannii (10F), Agrobacterium tumefaciens (11M), Ochrobactrum anthropi (17N), Escherichia coli (23B) and Agrobacterium tumefaciens (26M) with 97, 95, 93, 95 and 94% similarity in their 16S rDNA gene sequence, respectively. Degradation rates of carbofuran in soil inoculated with these isolates were 1.9, 1.5, 1.6, 1.7 and 1.6 times, respectively, faster in comparison with uninoculated soil after 10 days of incubation. The maximum degradation rates of carbofuran (45 and 91%) were detected in soil inoculated with A. baumannii (10F) after 10 and 20 days’ incubation, respectively. These data indicate that these isolates may have the potential for use in bioremediation of pesticide contaminated soil.