Optimization of capture–recapture monitoring of elusive species illustrated with a threatened grasshopper

Information on population sizes and trends of threatened species is essential for their conservation, but obtaining reliable estimates can be challenging. We devised a method to improve the precision of estimates of population size obtained from capture–recapture studies for species with low capture and recapture probabilities and short seasonal activity, illustrated with population data of an elusive grasshopper (Prionotropis rhodanica). We used data from 5 capture–recapture studies to identify methodological and environmental factors affecting capture and recapture probabilities and estimates of population size. In a simulation, we used the population size and capture and recapture probability estimates obtained from the field studies to identify the minimum number of sampling occasions needed to obtain unbiased and robust estimates of population size. Based on these results we optimized the capture–recapture design, implemented it in 2 additional studies, and compared their precision with those of the nonoptimized studies. Additionally, we simulated scenarios based on thresholds of population size in criteria C and D of the International Union for Conservation of Nature (IUCN) Red List to investigate whether estimates of population size for elusive species can reliably inform red-list assessments. Identifying parameters that affect capture and recapture probabilities (for the grasshopper time since emergence of first adults) and optimizing field protocols based on this information reduced study effort (−6% to −27% sampling occasions) and provided more precise estimates of population size (reduced coefficient of variation) compared with nonoptimized studies. Estimates of population size from the scenarios based on the IUCN thresholds were mostly unbiased and robust (only the combination of very small populations and little study effort produced unreliable estimates), suggesting capture–recapture can be considered reliable for informing red-list assessments. Although capture–recapture remains difficult and costly for elusive species, our optimization procedure can help determine efficient protocols to increase data quality and minimize monitoring effort.     

粗枝云杉不同径级根系分解过程中4种养分元素的释放特征

植物根系分解是养分元素进入土壤的重要途径之一.为了解径级对根系分解过程中养分元素释放的潜在影响,以川西亚高山针叶林中的粗枝云杉(Picea asperata)为对象,采用原位分解试验,研究云杉3个径级(0-2 mm,2-5 mm和5-10 mm)根系分解过程中钾(K)、钠(Na)、钙(Ca)和镁(Mg)元素的浓度、残留...     

Can we gain precision by sampling with probabilities proportional to size in surveying recent landscape changes in the Netherlands?

Seventy-two squares of 100 ha were selected by stratified random sampling with probabilities proportional to size (pps) to survey landscape changes in the period 1996–2003. The area of the plots times the urbanization pressure was used as a size measure. The central question of this study is whether the sampling with probabilities proportional to size leads to gain in precision compared to equal probability sampling. On average 1.03 isolated buildings per 100 ha have been built, while 0.90 buildings per 100 ha have been removed, leading to a net change of 0.13 building per 100 ha. The area with unspoiled natural relief has been reduced by 2.3 ha per 100 ha, and the length of linear relicts by 137 m per 100 ha. On average 74 m of linear green elements have been planted per 100 ha, while 106 m have been removed, leading to a net change of −31 m per 100 ha. For the state variables ‘unspoiled natural relief', ‘ linear relicts', ‘removed linear green elements', and ‘new – removed linear green elements' there is a gain in precision due to the pps-sampling. For the remaining state variables there is no gain or even a loss of precision (`new buildings', ‘removed buildings', ‘new – removed buildings', ‘new linear green elements'). Therefore, if many state variables must be monitored or when interest is not only in the change but also in the current totals, we recommend to keep things simple, and to select plots with equal probability.     

Analysis of metabolic changes in Trichoderma asperellum TJ01 at different fermentation time-points by LC-QQQ-MS

Trichoderma spp. are among the most widely recognized biocontrol fungi used to inhibit pathogens and promote plant growth. These functions are related to primary and secondary metabolites. This study investigated the different metabolites in Trichoderma asperellum TJ01 cultured for 24 and 72?h using liquid chromatography with triple-quadrupole mass spectrometry. Compared to the 24?h culture of T. asperellum TJ01, the 72?h culture with amino acid metabolism tended to decrease while sugar and lipid metabolisms tended to increase. Furthermore, the 72?h culture had a higher proportion of upregulated flavonoids, in combination with a higher proportion of downregulated alkaloids, and equal proportions of upregulated and downregulated polyphenols and hormones. This study also identified a few valuable medicinal substances such as trigonelline and 5-hydroxytryptophan in T. asperellum TJ01 fermentation cultures.     

好氧颗粒污泥膜生物反应器污泥性状研究

采用厌氧-好氧运行方式的颗粒污泥膜生物反应器（GMBR）,连续运行近120　d表现出良好的有机物去除及同步硝化反硝化能力.对GMBR中污泥粒径分布变化研究表明,GMBR中污泥浓度的增加主要是由于粒径0.18～0.45　mm的小颗粒污泥及小于0.18　mm的絮状污泥的增加造成的,粒径大于0.45　mm的颗粒污泥能够基本稳定维持其颗粒形态,反应器运行末期,GMBR中颗粒污泥（粒径大于0.18　mm的污泥）含量稳定在污泥总量的60％～65％以上.污泥表面电荷量随着污泥组成形态的变化电负性逐渐增加,80　d后稳定在-0.42～-0.80　meq·g^-1之间.污泥表面电荷的负电性增加主要是由小于0.45　mm的污泥造成的,其中小于0.18　mm的絮状污泥对其影响最大.并且,污泥粒径越大污泥表面负电荷量越少,两者具有较好的线性关系.另外,GMBR中SVI稳定在60～90 mL/g之间,并且随着污泥表面电荷负电性的增加污泥SVI值增加,两者之间具有一定的相关性.     

滤后水中NOM经臭氧氧化产生的小分子醛、酮和酮酸

以富集、分离得到的滤后水中6种不同特性的天然有机物(NOM)为对象,测定了臭氧氧化NOM各组分后小分子醛、酮及酮酸的生成情况.NOM各组分臭氧氧化后甲醛和丙酮酸产量最大,特别是憎水中性物质(HON)的甲醛产率是其醛、酮总产率的70.58%,单位DOC丙酮酸的产率达103.2 μg/mg;憎水性NOM组分的小分子醛、酮、酮酸产率比亲水性组分的高,特别是憎水中性物质(HON)和憎水酸(HOA)的小分子醛、酮及酮酸类总产率最高,二者之和分别占NOM各组分的醛酮总产率及酮酸总产率的55.56%和60%; NOM碱性组分的醛、酮、酮酸产量最低.用小分子醛、酮、酮酸总量折算DOC占氧化后NOM的DOC的百分比作为衡量氧化后各组分可生物降解性的参考,则臭氧氧化后HON和HOA的可生物降解性比其他组分高得多.     

近地面大气颗粒物粒度与粒形特征

选择大气颗粒物污染代表性城市石家庄市,利用挂片法采集采暖期与非采暖期大气颗粒物样品,在CIS-50粒度粒形仪上进行视频通道测试,并利用扫描电镜对颗粒表面形态进行观察,得出颗粒物粒度分布、粒形参数及形貌特征.结果显示,大气颗粒物粒度分布为连续多峰曲线形态,粒径范围为0.8～120 μm,集中于10 μm以下,粒度均值变化为4.086 0～7.622 7 μm,标准差随粒度均值增大而增大;粒形参数中形状因子均值变化为0.718 3～0.899 3,分维度均值变化为1.041 1～1.072 0.上述数据均呈现在非采暖期间小于采暖期间的特征.扫描电镜观察表明大气颗粒物多为表面粗糙的块状形貌,粒度较大;团聚状次之,并呈粗、细2种团聚形态;球体颗粒粒度最小.分析认为,石家庄市近地面大气颗粒物粒度粒形变化受地面排放影响强烈,采暖期新增颗粒物粒度为5～8 μm,粒形为近圆形及圆形,呈聚合体形态;PM₅数量比与近方形及正方形颗粒数量比呈较好正相关,r 为0.945 8,与近圆形及圆形颗粒数量比呈负相关,r 为-0.972 6,PM₅在大气颗粒物粒度粒形变化中可能有重要影响.     

崇明东滩湿地沉积物重金属污染的磁诊断

对取自崇明东滩的高潮滩、中潮滩和低潮滩的沉积物柱样进行了磁学、粒度、重金属含量等指标的分析、比较与综合研究. 结果表明:在以粉砂为主的崇明东滩,通过污染负荷指数法进行评价,除低潮滩无污染外,中潮滩和高潮滩均有中度的重金属污染. 选取中度重金属污染的高潮滩沉积物柱样进行粒度、重金属含量以及磁性参数的相关性分析显示,χ_fd,χ_ARM/SIRM与重金属含量和粘土(粒径<4 μm)之间有较高的相关性,并以此建立了磁诊断线性回归模型;χ_fd和χ_ARM/SIRM可作为重金属含量的替代指标.      

腐殖酸、细颗粒泥沙对粉末活性炭吸附苯酚特性影响的研究

通过一系列实验,探讨了粉末活性炭吸附水中苯酚时,腐殖酸(HA)浓度和细颗粒泥沙用量对苯酚吸附量和去除率的影响.实验结果表明:在中性条件下,随着HA浓度的增加,粉末活性炭对苯酚的吸附量减少;在不同质量细颗粒泥沙的影响下,苯酚的去除率基本不变;在未加HA时,粉末活性炭对苯酚的吸附行为用Langmuir吸附等温式拟合效果最好,对苯酚的最大吸附量为150.60 mg/g,而在有HA存在时,粉末活性炭对苯酚的吸附行为用Freundlich吸附等温式拟合效果最好,对苯酚的最大吸附量为28.49 mg/g.     

蜡烛燃烧产生的亚微米颗粒物的数量排放因子

蜡烛燃烧产生的亚微米颗粒物(在10nm-500nm范围内),稳定燃烧排放的颗粒物呈单峰正态分布,而非稳定燃烧呈近似双峰正态分布.将现场测得的浓度数据通过气溶胶动力方程转化为排放因子.结果表明,蜡烛燃烧产生的颗粒物在经过一段时间历程后,粒径谱会发生较大的变化,纳米级颗粒物逐渐消失,颗粒物的粒径有所增大.蜡烛在稳定燃烧环境下产生的亚微米颗粒物的数量排放因子为4.05×1012±0.73×1012个·g-1,在非稳定燃烧下的排放因子为1.49×1012±0.32×1012个·g-1.