Quantifying population declines based on presence‐only records for red‐list assessments

Accurate trend estimates are necessary for understanding which species are declining and which are most in need of conservation action. Imperfect species detection may result in unreliable trend estimates because this may lead to the overestimation of declines. Because many management decisions are based on population trend estimates, such biases could have severe consequences for conservation policy. We used an occupancy‐modeling framework to estimate detectability and calculate nationwide population trends for 14 Swiss amphibian species both accounting for and ignoring imperfect detection. Through the application of International Union for Conservation of Nature Red List criteria to the different trend estimates, we assessed whether ignoring imperfect detection could affect conservation policy. Imperfect detection occurred for all species and detection varied substantially among species, which led to the overestimation of population declines when detectability was ignored. Consequently, accounting for imperfect detection lowered the red‐list risk category for 5 of the 14 species assessed. We demonstrate that failing to consider species detectability can have serious consequences for species management and that occupancy modeling provides a flexible framework to account for observation bias and improve assessments of conservation status. A problem inherent to most historical records is that they contain presence‐only data from which only relative declines can be estimated. A move toward the routine recording of nonobservation and absence data is essential if conservation practitioners are to move beyond this toward accurate population trend estimation.     

Effectiveness of Scat‐Detection Dogs in Determining Species Presence in a Tropical Savanna Landscape

Abstract: Most protected areas are too small to sustain populations of wide‐ranging mammals; thus, identification and conservation of high‐quality habitat for those animals outside parks is often a high priority, particularly for regions where extensive land conversion is occurring. This is the case in the vicinity of Emas National Park, a small protected area in the Brazilian Cerrado. Over the last 40 years the native vegetation surrounding the park has been converted to agriculture, but the region still supports virtually all of the animals native to the area. We determined the effectiveness of scat‐detection dogs in detecting presence of five species of mammals threatened with extinction by habitat loss: maned wolf (Chrysocyon brachyurus), puma (Puma concolor), jaguar (Panthera onca), giant anteater (Myrmecophaga tridactyla), and giant armadillo (Priodontes maximus). The probability of scat detection varied among the five species and among survey quadrats of different size, but was consistent across team, season, and year. The probability of occurrence, determined from the presence of scat, in a randomly selected site within the study area ranged from 0.14 for jaguars, which occur primarily in the forested areas of the park, to 0.91 for maned wolves, the most widely distributed species in our study area. Most occurrences of giant armadillos in the park were in open grasslands, but in the agricultural matrix they tended to occur in riparian woodlands. At least one target species occurred in every survey quadrat, and giant armadillos, jaguars, and maned wolves were more likely to be present in quadrats located inside than outside the park. The effort required for detection of scats was highest for the two felids. We were able to detect the presence for each of five wide‐ranging species inside and outside the park and to assign occurrence probabilities to specific survey sites. Thus, scat dogs provide an effective survey tool for rare species even when accurate detection likelihoods are required. We believe the way we used scat‐detection dogs to determine the presence of species can be applied to the detection of other mammalian species in other ecosystems.     

SBR加载不同粒径磁性活性炭对其污泥颗粒化进程的影响机制

在相同序批式活性污泥反应器(SBR)中分别加载1.5 g·L~(-1)的80、140、200、和300目不同粒径的磁性活性炭(反应器编号依次为2、3、4、5号),同时以不投加磁性活性炭的SBR反应器(1号)作为对照组,研究各反应器污泥体积指数(SVI)、粒径分布特征、胞外聚合物(EPS)中胞外蛋白(PN)、胞外多糖(PS)的含量变化规律以及除污性能.结果表明,不同粒径磁性活性炭对污泥颗粒化进程有一定的影响,粒径过大、过小对促进污泥颗粒化进程的强化作用不明显,当磁性活性炭的粒径为140目和200目时,活性污泥很容易以其作为"成核"载体快速形成好氧颗粒污泥,并且形成的颗粒污泥结构紧密,沉降速率快.采用高斯函数分析污泥粒径分布和标准偏差发现,反应器运行的第50 d,3号和4号反应器内污泥平均粒径均达到了780μm以上,明显高于其他反应器,标准偏差分别为318.9μm和362.3μm,两反应器内形成的颗粒污泥粒径较均匀,处理系统较稳定.与此同时,投加不同粒径的磁性活性炭均有利于促进污泥胞外蛋白质PN含量的增加,对胞外多糖PS的含量影响不大;但合适的磁性活性炭粒径(140目和200目)越有利于污泥PN的分泌,颗粒化程度明显的3号和4号反应器的PN/PS比值均高于其他3个反应器.磁性炭基好氧颗粒污泥的形成符合"惰性内核模型".此外,3号、4号反应器对废水TN和TP的去除率分别达到50%和60%以上,均高于其他反应器.     

滇西北高原湖泊剑湖演变过程及其生态环境效应分析

以滇西北高原湖泊剑湖为研究区,1974—2015年间8期遥感影像为数据源,运用遥感和地理信息系统技术,研究剑湖湖泊近40年间的时空演变过程,探析剑湖湖泊的入湖污染物及其生态环境效应变化。结果表明:近40年来剑湖湖泊面积呈现先明显减少再增加后缓慢减少的变化规律,由1974年的504.47 hm~2减至2015年的451.72 hm~2;目前剑湖水体中COD含量较低,符合地表水环境质量Ⅱ类标准;TP含量满足Ⅲ类标准;TN含量仅可满足IV类标准;剑湖入湖的主要污染源是农村生活污染和农业面源污染;随着时间的演变剑湖湖泊TN、TP污染物浓度呈上升趋势,剑湖湖泊生态系统受到极大干扰。     

磁性PEI功能化秸秆的制备及对Pb (Ⅱ)的吸附

为获得同时具有优良的吸附性能和磁分离特性的生物吸附材料,以汽爆秸秆为基质,采用戊二醛交联剂法制备了磁性聚乙烯亚胺功能化秸秆吸附剂（Fe₃O₄-PEI-RS）,通过SEM、XRD、FTIR、XPS和VSM等手段表征了材料的结构和性质,测定了Pb（Ⅱ）在Fe₃O₄-PEI-RS上的吸附性能,考察了pH、吸附时间、吸附剂投加量、Pb（Ⅱ）初始浓度、温度等因素对吸附的影响.结果表明,Fe₃O₄-PEI-RS对Pb（Ⅱ）的吸附具有强烈的pH依赖性;吸附时间对Pb（Ⅱ）的吸附效率有明显的影响,在180 min时吸附达到平衡,吸附过程符合准二级动力学模型;Langmuir和Freundlich模型都能很好地描述Pb（Ⅱ）在Fe₃O₄-PEI-RS上的吸附行为,20、30和40℃时最大吸附量分别为192.31、200.00和212.77 mg/g;热力学参数△G < 0,而焓变△H>0、△S>0,说明该吸附属于熵增加的自发吸热反应过程,升温有利于吸附.重复试验表明,EDTA作解吸剂,经5次吸附/解吸附循环后吸附剂仍能保持较高的吸附容量.研究显示,所制Fe₃O₄-PEI-RS对Pb（Ⅱ）具有较高的吸附容量,稳定性好、可循环利用,能在磁场下实现快速分离.      

关于渗透通风条件建筑结构对室内PM2.5浓度水平影响评价模型探讨

我国京津冀地区近年频遭大气PM_2.5污染侵扰,相关研究表明,既使关闭建筑外窗,大气中PM_2.5仍可以通过渗透通风方式进入室内污染环境.为定量评价建筑渗透通风及无室内污染源条件下建筑结构（如外窗缝隙结构、房间建筑结构等）对室内ρ（PM_2.5）的影响规律,基于北京市东城区、朝阳区6个不同建筑结构的房间室内外ρ（PM_2.5）实时监测数据,重点比较分析了建筑结构对室内外ρ（PM_2.5）关联特性的影响规律.此外,根据颗粒物穿透特性及沉降特性机理,提出了反映建筑外窗缝隙结构（如缝高、缝深）的无量纲特征参数A_P与反映房间建筑结构（如层高、开间、进深）的无量纲特征参数A_k.在前期提出的室内ρ（PM_2.5）预测模型基础上,进一步构建了二者（A_P与A_k）对室内ρ（PM_2.5）影响的评价模型,并通过实测数据验证了模型的正确性.结果表明:当室外PM_2.5污染程度与气象条件一定时,建筑结构对I/O[室内外ρ（PM_2.5）之比]影响较大,其范围在0.4~0.7之间;随着建筑外窗气密性等级的提高,对应室内ρ（PM_2.5）呈显著的下降趋势.建筑外窗缝隙结构对室内ρ（PM_2.5）影响程度远大于房间建筑结构,敏感性分析结果表明,当建筑外窗缝高每降低50%或缝深每提高50%,对应室内ρ（PM_2.5）约可下降33.6%与31.9%.研究显示,气密性等级较高的建筑外窗缝隙缝高往往较小、缝深较长,渗透通风条件下对控制室内ρ（PM_2.5）水平作用更显著。      

氯化磁性凹土树脂的制备与表征研究

利用表面负载的方法将有机化磁性凹土与苯乙烯、二乙烯苯等制备磁性凹土树脂;对磁性凹土树脂进行氯甲基化改性,制备出氯化磁性凹土树脂.表征了样品的形貌、结构以及表面积,研究了树脂对天然有机物(腐殖酸)的吸附性能.结果表明:氯化后的磁性凹土树脂的比表面积是原有的1.9倍,对附腐殖酸的饱和吸附能力也从原有的41.84 mg/g提高到了51.02 mg/g,这表明改性后的树脂增强了其对腐殖酸的去除能力.     

TiO2/PS/Fe3O4 光催化剂的低温制备及其光催化和磁回收性能

以聚苯乙烯(PS)包覆油酸修饰过的纳米Fe3O4为磁核,在低温(90℃)、中性(pH=7左右)条件下,制备了以PS为惰性隔离层的磁载TiO2光催化剂.用X射线衍射仪(XRD)、透射电子显微镜(TEM)、傅里叶红外分光光度计(FT-IR)、振动样品磁强计(VSM)对催化剂的物相组成、形貌、表面性质、磁学性质进行了表征.以苯酚为模拟污染物,考察了其光催化活性,以自制的磁回收装置,考察其回收特性.结果表明,低温制备的TiO2为锐钛矿结构,平均粒径为2～5 nm,催化剂TiO2/PS/Fe3O4[其中物质的量比为n(TiO2)∶n(St)∶n(Fe3O4)=60∶2.5∶1]具有结构完整的壳/壳/核结构,TiO2在PS/Fe3O4表面负载牢固;光催化降解苯酚遵循一级反应动力学方程,TiO2/PS/Fe3O4[n(TiO2)∶n(St)∶n(Fe3O4)=60∶2.5∶1]的反应速率常数K=0.025 8,与纯TiO2的活性接近(K=0.026 2);循环使用5次后,反应速率常数仅降低0.003 4.所制催化剂具有较强的磁感应强度,平均回收率可达到92%以上.该低温水解法制备的磁载TiO2光催化剂具有良好的应用前景.     

磁性多孔陶粒生物膜反应器处理焦化废水的试验研究

以磁性材料为原料,经过特定的工艺处理,对多孔陶瓷进行磁化改性获得磁性多孔载体,并将该载体应用于生物膜反应器中进行焦化废水处理试验。对不同类型的多孔陶粒载体进行对比试验,结果表明:磁性载体生物膜反应器对COD、NH3-N的去除率比普通活性污泥法高出25%³0%,比非载体生物膜反应器高出15%30%,比非载体生物膜反应器高出15%²0%左右。反应器的曝气量为1.5 L/h,曝气时间为10 h/d,温度为2520%左右。反应器的曝气量为1.5 L/h,曝气时间为10 h/d,温度为25³0℃。焦化废水经磁性载体生物膜反应器处理后,上清液中COD,NH3-N的去除率均在90%左右。出水浓度达到国家工业废水排放二级标准(GB18918-2002)。     

γ-Fe_2O_3/膨胀石墨复合材料吸附废水中六价铬的应用研究

介绍了采用溶胶凝胶法合成新型的复合材料-磁性的γ-Fe_2O_3膨胀石墨(MEG)复合材料。通过采用X-射线衍射(XRD)、扫描电子显微镜(SEM)、透射电子显微镜(TEM)以及X-光电子能谱仪(XPS)对该复合材料MEG进行了表征,结果表明MEG中γ一Fe_2O_3的粒径约为50nm,而且其中γ一Fe_2O_3和膨胀石墨通过C=O相互作用。复合材料MEG作为新型的六价铬吸附剂,通过吸附时间、初始溶液的pH值以及再生性对该吸附过程进行了考察。结果表明:在40 min内MEG吸附六价铬的过程基本达到平衡;在初始溶液的pH为3.5时,MEG对六价铬的最大吸附量可以达到16.4mg/g;而且该复合材料MEG重复使用3次后吸附效果基本没有下降。因此,复合材料MEG对于废水中六价铬的处理有选择性吸附作用,而且初始溶液的pH值对其吸附过程起着重要作用。