Local Perceptions of Changes in Traditional Ecological Knowledge: A Case Study from Malekula Island,Vanuatu

Traditional ecological knowledge (TEK) is a critical global resource that may be eroding amid social and environmental change. Here, we present data on local perceptions of TEK change from three communities on Malekula Island in Vanuatu. Utilizing a structured interview (n = 120), we find a common perception of TEK loss. Participants defined two key periods of TEK erosion (roughly 1940–1960 and 1980–present), and noted that TEK decline was driven both external (e.g., church) and internal (e.g., shifting values) processes. Erosion was perceived to more comprehensive in the worldview domain than in aspects of ethnobiological knowledge and practice. These data indicate the perceived fragility of TEK systems and the complexity of TEK change. TEK systems are critical to natural resource management, and data such as these will assist in designing nuanced responses to the ongoing loss of cultural knowledge and practice.     

Targeted Application of Seasonal Load Duration Curves Using Multivariate Analysis in Two Watersheds Flowing Into Lake Houston1

Teague, Aarin, Philip B. Bedient, and Birnur Guven, 2011. Targeted Application of Seasonal Load Duration Curves Using Multivariate Analysis in Two Watersheds Flowing Into Lake Houston. Journal of the American Water Resources Association (JAWRA) 47(3):620‐634. DOI: 10.1111/j.1752‐1688.2011.00529.x Abstract: Water quality is a problem in Lake Houston, the primary source of drinking water for the City of Houston, Texas, due to pollutant loads coming from the influent watersheds, including Spring Creek and Cypress Creek. Statistical analysis of the historic water quality data was developed to understand the source characterization and seasonality of the watershed. Multivariate analysis including principal component, cluster, and discriminant analysis provided a custom seasonal assessment of the watersheds so that loading curves may be targeted for season specific pollutant source characterization. The load duration curves have been analyzed using data collected by the U.S. Geologic Survey with corresponding City of Houston water quality data at the sites to characterize the behavior of the pollutant sources and watersheds. Custom seasons were determined for Spring Creek and Cypress Creek watersheds and pollutant source characterization compared between the seasons and watersheds.     

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.     

福建省重点城市路面尘负荷及化学组成研究

采集并分析了福建省重点城市厦门、漳州、泉州和莆田城区具有代表性的57个地面扬尘和16个土壤样品的26种无机元素、8种水溶性离子和碳成分等组成.不同城市粒径≤100μm的路面尘负荷平均值在6.99 g.m-2与10.11 g.m-2之间,而粒径≤2.5μm的路面尘(PM2.5)负荷平均值在4.0 mg.m-2和12.5 mg.m-2之间.不同城市土壤尘和路面尘PM2.5中浓度最高的元素都是Si、Ca、Al、Fe和K,路面尘中Ca元素明显富集,而主要人为来源的重金属元素如Cu、Pb、Zn、Cr在路面尘PM2.5中的浓度显著高于土壤尘.漳州城区路面尘PM2.5中二次离子NH4+、NO3-和SO24-的含量明显高于其它地区,厦门、漳州和泉州城区路面尘PM2.5中Mg2+和Ca2+之间都存在显著的正相关关系.四城市路面尘中有机碳(OC)的含量均高于济南、石家庄以及北京地面扬尘OC的含量,元素碳(EC)的含量均低于北京地区路面扬尘EC的含量.泉州和莆田两地OC和EC的相关性较好,说明路面尘中OC和EC有相同或相似的来源.质量平衡结果显示泉州和莆田路面尘PM2.5中含量最高的是土壤尘,其次为有机物.按化学组成特征对路面尘PM2.5进行聚类解析,得到受大气沉降影响、受土壤尘影响、受大气沉降和土壤尘共同作用以及受土壤尘和建筑尘共同作用4类样品.     

宁波三江口水域原核生物群落结构分析

首次应用16S rRNA基因-Illumina Miseq高通量测序技术对甬江流域宁波三江口区域的表层水体原核生物群落进行了分析,共获得215 504条高质量序列.多样性指数分析表明,该流域的水体原核生物群落具有较高的遗传多样性和丰富度.菌群分类分析发现,β-变形菌纲(β-Proteobacterium)、放线菌门(Actinobacteria)和拟杆菌门(Bacteroidetes)是主要的优势菌群,其相对丰度占总群落的78.88%.对比不同站位的原核生物群落,发现水文环境可能是影响三江口水域原核生物群落组成和结构的重要因素之一.与以往报道对比分析表明,甬江流域分布有多种污水和粪便污染指示菌,其中余姚江污染指示菌的丰度最高,说明其受污染的风险可能较高.病原菌BLASTN分析表明,在种和亚种水平上,分别检出76和18种潜在病原菌,占序列总量的2.19%和0.40%.本研究为系统认识甬江流域原核生物群落结构及生态功能提供了重要基础数据.     

采用颜色空间表征ANAMMOX启动与冲击过程

厌氧氨氧化(ANAMMOX)是一种高效、节能的脱氮技术,但是其启动过程和稳定状态的表征目前仍缺乏一个简单易行的方法.针对这一问题,在水质分析的基础上,采用颜色空间重点监测ANAMMOX启动过程中污泥的颜色变化,并借助高通量测序技术对微生物菌群的种类和数量等进行分析.结果表明:(1)根据水质特征,整个启动过程可分为活性迟滞期、活性增强期、负荷提高期、稳定运行期.与此同时,HSV、CIELAB颜色空间的指标,整体上呈现先降低后升高的趋势,然后保持稳定.污泥颜色的变化与水质的变化以及分子生物学特征中优势菌群的变迁一致,因此,三者之间具有相关性,进而表明,采用颜色空间可对ANAMMOX启动过程进行准确表征;(2)当遇到高负荷引起的冲击时,H、S、a~*、b~*、C_(ab)~*等指标与总无机氮(TIN)容积去除速率均呈现降低的趋势,而H_(ab)出现了突升,但均能准确反映出系统的冲击特性.提出了基于颜色空间表征ANAMMOX启动各阶段的方法并建立了一套冲击过程指标体系,为颜色空间在ANAMMOX系统中的应用提供了理论基础.     

夏季太湖CDOM光学特性空间差异及其来源解析

为进一步探究夏季太湖CDOM（有色溶解性有机质）光学特性在空间分布上的差异性与其来源的关系,对其紫外-可见吸收及三维荧光光谱特性进行了分析研究,在此基础上进一步分析了CDOM吸尘系数及其荧光组分（C1、C2、C3、C4）强度和各水质参数间的相关性.结合主成分分析法探讨了CDOM的来源以及与各参数指标[ρ（DOC）除外]之间的来源关系.结果表明:CDOM吸收系数α（355）、S值（光谱斜率）变化范围分别为3.27~8.27 m-1和0.011~0.021 nm-1;太湖西部、北部及南部湖区CDOM丰度较大,S值较低,受陆源输入的影响较为明显.CDOM的三维荧光光谱揭示其中含有两种类蛋白质组分C1和C2以及类腐殖质组分C3和C4,并且以类蛋白质组分为主.此外,大部分采样点的荧光指数（FI）为1.70~2.01,自生源指数（BIX）大于1,腐殖化指数（HIX）小于0.6,r_（T/C）（荧光峰T与荧光峰C荧光强度比值）小于2,表明夏季太湖CDOM内源特性相对强烈.研究显示,除ρ（DOC）外,CDOM与其他水质参数在第一主成分上（贡献率为90.8%）均存在显著相关关系,说明各水质参数的来源存在相似性,并且受生物自生源影响更为显著.      

基于主成分分析法的陕北地区可持续发展对比研究

基于可持续发展基本理论,选取60项指标建立陕北地区可持续发展评价指标体系,采用软件SPSS(19.0)进行主成分分析,分别对延安市、榆林市2000—2014年的可持续发展水平、可持续发展潜力和可持续发展协调度进行动态对比分析。结果表明延安市、榆林市发展基本趋于一致:可持续发展水平较高,但可持续发展潜力明显不足,可持续发展协调度较低;制约其可持续发展的主要因素在于资源发展动力不足、产业结构单一、环境的恶化及治理的低效。     

小城镇产业集群主要污染源筛查与影响分析

以郫县安德镇川菜产业园为研究对象,采用等标污染负荷法对污染影响进行了标准化评价。结果发现:川菜产业园主要的工业污染行业为豆制品加工行业,排污量为2 919.94 t/a,占总排污量的96.46%,等标污染负荷为9.83,占总污染负荷的92.83%,其中有6家企业为主要控制对象。对比分析发现,环境污染受企业规模、末端处理方式、废水排放量等多方面因素共同影响。所有污染因子中,BOD对环境的实质污染影响较大。该研究成果将为优化小城镇产业集群的规划、管理和污染物总量控制提供有价值的参考。     

北京市潮白河再生水补水河段水质时空变异

城市河道是城市再生水利用的主要载体,而人工湿地是城市再生水河道补水前主要的水质净化方式.为了解再生水补水与人工湿地对再生水补水段水质的影响,选取北京市潮白河再生水补水河段作为研究对象,利用聚类分析、判别分析及因子分析等方法对不同季节水体的水质情况进行分析.结果表明:研究区内水体氮磷污染严重,其中TN污染表现为NO₃--N、NO₂--N和NH₄+-N的混合型污染.聚类分析结果表明,水质在季节尺度上表现为丰水期（6-9月）和枯水期（2月、3月、5月和12月）两大类;在空间尺度上受再生水补水和湿地净化的影响表现为显著的空间差异性.判别分析结果表明,再生水补给对河道水质的影响无显著季节差异,湿地净化功能在丰水期和枯水期差异较大且丰水期湿地的净化效果最为明显.因子分析结果表明,再生水作为城市河道的补充水源,一方面对河道中的F-、Chl-a等起到稀释作用,另一方面使得水体中的N、P及离子含量增加;丰水期湿地的净化作用使水体中氮磷等有机营养物质含量及ρ（TDS）等显著降低.