Assessing Sustainability at Multiple Scales in a Rotational Bushmeat Hunting System

Abstract: Results of many studies show unsustainable levels of bushmeat hunting across West/Central Africa. Nevertheless, these results are usually derived from snapshot sustainability indices in which critical parameters are often taken from the literature. Simple, more informative tools for assessing sustainability are needed. We evaluated the impact of bushmeat hunting across a range of temporal, spatial, and taxonomic scales in a comparison of different measures of sustainability. Over 15 months in 2002–2004 in and around a village close to Equatorial Guinea's Monte Alén National Park, we collected data via a village offtake survey, hunter‐camp bushmeat‐consumption diaries, hunter interviews, and following hunters during hunts. We compared 2003 data with a previous offtake survey (1998–1999) and interview reports back to 1990. In the past 14 years, average distance from the village at which hunters operated remained constant, with hunters switching back and forth between long‐established camps, although trapping effort increased. In the past 5 years, overall offtake and number of active hunters did not change substantially, although catch per unit effort (CPUE) decreased slightly. Although the proportion of the two most commonly trapped species (Cephalophus monticola and Atherurus africanus) and gun‐hunted primates increased in the offtake, species presumably less robust to trapping decreased slightly. Apparent sustainability in economic terms may be masking gradual local extirpation of more vulnerable species before and during this study. Our results suggest that changes in prey profiles and CPUE may be the most accurate indicators of actual sustainability; these indices can be monitored with simple village‐based offtake surveys and hunter interviews to improve community management of bushmeat hunting.     

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.     

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。     

聚合氯化铁-聚(环氧氯丙烷-二甲胺)复合絮凝剂在模拟水处理中的混凝特性研究

制备出一系列具有不同聚合氯化铁(PFC)的碱化度(B)、不同聚(环氧氯丙烷-二甲胺)[P(EPI-DMA)]质量分数[ω(E)]和黏度(η)的PFC-P(EPI-DMA)复合混凝剂,并将其用于模拟染料废水和模拟天然地表水的絮凝脱色处理,对比探讨了ω(E)、η和B对PFC-P(EPI-DMA)中铁的形态分布及其混凝效果的影响,以及混凝作用机制.结果表明,复合絮凝剂中铁的有效形态含量随ω(E)的增大而不断降低;η=850 mPa.s时,复合混凝剂中铁的有效形态含量最高;随B值的增大,Feb含量先增大后减少,而Fec含量逐渐增大.一定程度上使用预水解程度较低、有机成分黏度较大的PFC-P(EPI-DMA)有利于混凝效果的提高,复合混凝剂中有机成分质量分数对混凝效果的影响则与处理对象有关.在模拟水处理中,复合混凝剂依靠电性中和及架桥吸附能力发挥混凝特性.     

溶解氧变化对底泥酶活性及微生物多样性的影响

采用室内静态实验考察了溶解氧变化对底泥酶活性影响,同时采用BIOLOG ECO微平板构造了不同溶解氧水平下底泥微生物多样性指数。结果表明:高溶解氧条件下,底泥多酚氧化酶及过氧化物酶活性显著高于缺氧条件及厌氧条件(P<0.01),脱氢酶活性高于背景值;厌氧条件下脱氢酶、脲酶及碱性磷酸酶活性显著高于高溶解氧组、缺氧组及背景值(P<0.05);缺氧条件下硝酸盐还原酶活性显著高于高溶解氧组及厌氧组(P<0.05);蛋白酶活性受溶解氧水平变化的影响较小。BIOLOG ECO微平板法分析表明,溶解氧变化对底泥微生物多样性有不同程度的负面影响,微生物多样性的降低程度从大到小依次为高溶解氧组>厌氧组>缺氧组。主成分分析结果表明:缺氧条件及厌氧条件下,底泥微生物对大分子有机物的利用出现不同程度的降低,相对地,高溶解氧条件下微生物对大分子有机物的利用程度呈现先下降后上升的趋势;高溶解氧组及缺氧组底泥微生物对碳水化合物利用程度升高,厌氧组对碳水化合物利用程度降低。总之,高溶解氧条件更有利于形成底泥有机物完整的代谢循环,提高大分子有机物的利用程度。     

双台子河流域综合水质评价方法的对比研究

本研究利用双台子河2011年枯、丰、平水期的22个水文监测断面数据,并借助主成份分析法,确定主要污染因子和超标断面。分别采用综合标识指数、单因子、模糊评判、灰色关联四种评价法,选取DO、COD、NH3-N、TP、TN、BOD 6个评价因子,对河流水污染特性进行综合评价与分析。结果表明:以Bartlett球度检验,主成份因子负荷值较高的NH3-N、TP、BOD因子,累积方差贡献率91.97%,主要污染因子;超标断面的污染因子判别应考虑周边污染源的类型和河流上游的排放物浓度。模糊评判、灰色关联评价结果中均没有劣V类,两者的水质类别累积频率均在V类到达100%;考虑到单因子法在同一水质类别中不能判定多项因子共同对水体的综合影响,本文采用标识指数法为最佳评价方法。从枯、丰、平水期的劣V类和V类断面比重分析,枯水期>平水期>丰水期。从劣V类和V类数量与分布来看,盘锦市辖区控制单元的污染程度,比大洼县和盘山县污染较重。     

中国污染治理设施的公共物品属性分析及市场化融资的建议

污染治理设施是城镇基础设施的重要组成,与社会公共利益直接相关。对城镇污染治理设施的投资建设,可以为大范围的公众提供清洁的生态环境与和谐的社会环境。本文分析中国污染治理设施的公共物品属性,结合中国实际提出通过发行市政债券筹集资金进行污染治理设施建设,并在保留产权公有的前提下对污染设施实施租赁管理经营的新型融资机制。     

云南省九大高原湖泊营养状态综合对比评价分析

基于主成分分析理论和SPSS统计软件,建立湖泊富营养综合评价模型,以云南省九大高原湖泊为例,对滇池等九大高原湖泊营养状态进行综合评价,并与指数评价法评价结果作对比分析。结果表明：基于主成分分析法的湖库营养状态综合评价能较好地反映云南省九大高原湖泊营养状态,综合评价结果优于指数法。     

主成分分析法在煤矿事故统计分析中的应用

为了研究我国煤矿各类事故之间的相互关系,运用主成分分析法对我国煤矿事故数据进行了统计分析,计算得到煤矿事故类型的第一主成分和第二主成分,并进一步分析了煤矿事故的主要类型以及各类事故之间的相互联系,对制定相应的煤矿事故预防措施具有一定的指导作用。