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.     

The role of digital data entry in participatory environmental monitoring

Many argue that monitoring conducted exclusively by scientists is insufficient to address ongoing environmental challenges. One solution entails the use of mobile digital devices in participatory monitoring (PM) programs. But how digital data entry affects programs with varying levels of stakeholder participation, from nonscientists collecting field data to nonscientists administering every step of a monitoring program, remains unclear. We reviewed the successes, in terms of management interventions and sustainability, of 107 monitoring programs described in the literature (hereafter programs) and compared these with case studies from our PM experiences in Australia, Canada, Ethiopia, Ghana, Greenland, and Vietnam (hereafter cases). Our literature review showed that participatory programs were less likely to use digital devices, and 2 of our 3 more participatory cases were also slow to adopt digital data entry. Programs that were participatory and used digital devices were more likely to report management actions, which was consistent with cases in Ethiopia, Greenland, and Australia. Programs engaging volunteers were more frequently reported as ongoing, but those involving digital data entry were less often sustained when data collectors were volunteers. For the Vietnamese and Canadian cases, sustainability was undermined by a mismatch in stakeholder objectives. In the Ghanaian case, complex field protocols diminished monitoring sustainability. Innovative technologies attract interest, but the foundation of effective participatory adaptive monitoring depends more on collaboratively defined questions, objectives, conceptual models, and monitoring approaches. When this foundation is built through effective partnerships, digital data entry can enable the collection of more data of higher quality. Without this foundation, or when implemented ineffectively or unnecessarily, digital data entry can be an additional expense that distracts from core monitoring objectives and undermines project sustainability. The appropriate role of digital data entry in PM likely depends more on the context in which it is used and less on the technology itself.     

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.     

电化学氢化物发生法处理含锑废水及对锑的回收

采用电化学氢化物发生法对模拟含锑废水进行处理,锑与水电解产生的氢形成氢化物从溶液中脱除,而后收集并加热分解锑化氢得到金属锑.实验表明,在酸性条件下对Sb(Ⅲ)去除效果较好,p H=4时去除率为76.1%.Sb(Ⅲ)与电解水产生的氢结合形成锑化氢从溶液中逸出是溶液中锑去除的最主要途径(回收率为66.2%),电沉积和吸附也对锑的去除做出少量贡献.Sb(Ⅴ)须预还原为Sb(Ⅲ)再氢化进行去除.试用了铅、石墨、钨这3种电解阴极材料,铅电极处理效果最佳.     

我国工业危险废物的来源、处理及监管对策与建议

通过大量环境统计数据的分析,对我国工业危险废物的产生、综合利用、处置和贮存,从行业来源、区域分布进行了分析和总结。结合我国工业危险废物企业自建设施和政府集中处理设施处理情况,对我国工业危险废物的处理和环保监管对策提出了若干建议。     

京津冀区域燃煤发电行业大气污染物排放时空变化特征研究

为了科学评估京津冀区域燃煤发电行业特别排放限值和超低排放相关要求实施后的大气污染物减排效果,以行业调查数据为基础,建立了2013年和2015年京津冀区域燃煤发电行业大气污染物排放清单,分析了装机容量与SO_2、NO_x和烟尘排放量的时空耦合关系,讨论了国家相关政策和标准的实施效果。结果显示:区域内2015年燃煤机组装机容量与2013年相比略有下降,SO_2、NO_x和烟尘排放量分别下降75.95%、83.09%和71.20%,减排效果明显。2015年100 MW以下等级机组3种污染物排放总量位居各机组首位,建议通过多种合理方式压减小型燃煤发电机组数量和排放浓度。     

复合生物阴极型微生物燃料电池处理废水及同步产电性能

为研究生物阴极在MFC（微生物燃料电池）中的应用,分别以粒径为2~4 mm的颗粒活性炭和粒径为2~4、4~8、8~12 mm的颗粒石墨为阴极基质材料,构建升流复合生物阴极型单室MFC,研究阴极基质材料的种类和粒径对MFC的产电性能和净水效能的影响.结果表明:当阳极基质材料为2~4 mm粒径的颗粒活性炭时,燃料电池中利用玻璃纤维取代离子交换膜,阴极基质材料为选用4~8 mm粒径颗粒石墨的反应柱产电量最大,为534 mV（外电阻为1 000 Ω）,最大功率密度达到631.6 mW/m3,库伦效率为3.82%;阴极的pH越低越有利于阴极的产电反应;不同阴极基质材料的MFC对COD_Cr去除率均在80%左右,TN、NH₄+-N及TP的去除率最高可分别达到79%、93%和34%.研究显示,阴极基质材料的种类和粒径对MFC的产电性影响较大,但对其净水效能的影响不大.      

CDM在光伏产业中的应用研究

太阳能是国际社会公认的最理想的替代能源,中国太阳能资源丰富,由于欧美各国市场需求的增大,中国光伏产业取得了快速的发展。但目前中国光伏产业还处于起步阶段,仍面临着资金和技术等难题,而清洁发展机制(CDM)是一种基于市场的灵活履约机制,在中国光伏产业中引入清洁发展机制,不但有利于减少温室气体的排放,而且可大大缓解因资金和技术所带来的问题,并带来一系列环境和社会效益。其次,以锦州市一座10 MW光伏并网电站为例,计算了其年减排量,并对发电收益和CDM项目收益进行了比较及论证。     

我国典型铅锌选矿企业尾矿产生及综合利用分析

通过对我国6家典型铅锌选矿企业铅锌尾矿产生情况的调研及现场采样测试分析,掌握典型企业铅锌尾矿的产生、理化性质及综合利用情况,推算出不同品位铅锌原矿吨产品铅锌尾矿的产生系数,并结合我国铅锌选矿行业及铅锌尾矿综合利用现状,提出适合我国国情的对策建议。