Using empirical models of species colonization under multiple threatening processes to identify complementary threat‐mitigation strategies

Approaches to prioritize conservation actions are gaining popularity. However, limited empirical evidence exists on which species might benefit most from threat mitigation and on what combination of threats, if mitigated simultaneously, would result in the best outcomes for biodiversity. We devised a way to prioritize threat mitigation at a regional scale with empirical evidence based on predicted changes to population dynamics—information that is lacking in most threat‐management prioritization frameworks that rely on expert elicitation. We used dynamic occupancy models to investigate the effects of multiple threats (tree cover, grazing, and presence of an hyperaggressive competitor, the Noisy Miner (Manorina melanocephala) on bird‐population dynamics in an endangered woodland community in southeastern Australia. The 3 threatening processes had different effects on different species. We used predicted patch‐colonization probabilities to estimate the benefit to each species of removing one or more threats. We then determined the complementary set of threat‐mitigation strategies that maximized colonization of all species while ensuring that redundant actions with little benefit were avoided. The single action that resulted in the highest colonization was increasing tree cover, which increased patch colonization by 5% and 11% on average across all species and for declining species, respectively. Combining Noisy Miner control with increasing tree cover increased species colonization by 10% and 19% on average for all species and for declining species respectively, and was a higher priority than changing grazing regimes. Guidance for prioritizing threat mitigation is critical in the face of cumulative threatening processes. By incorporating population dynamics in prioritization of threat management, our approach helps ensure funding is not wasted on ineffective management programs that target the wrong threats or species.     

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.     

碳排放影响因子与碳足迹文献综述:基于研究方法视角

从研究方法的角度出发,对近年来国内外碳排放影响因子及碳足迹的相关研究进行文献综述。根据碳排放影响因子的研究方法—情景分析法、因素分解法中的指数分解法以及其他计量模型,介绍了国内外关于碳排放影响因子的研究现状,最后对方法进行归类和对比。根据碳足迹研究方法—投入产出法、生命周期评价法、IPCC法以及其他模型,分析了国内外关于碳足迹的研究进展。最后通过总结,对碳排放和碳足迹的未来研究方向进行了展望。     

绿色会计视角下能源企业的成本核算优化研究

针对绿色会计视角下能源企业的成本核算优化,介绍了绿色会计视角下能源企业的成本核算,由于能源企业的发展,对环境产生了巨大危害,也导致能源企业由于本身成本过高,这才提出绿色会计,这样才能优化能源企业的成本,可以保证能源企业的可持续发展;同时,也保障了能源企业生态的稳定建设.基于绿色会计视角,探讨了能源企业的绿色成本优化研究,主要包括能源企业坚持绿色会计,确定绿色成本原则,能源企业绿色成本优化条件和能源企业加强绿色会计实践.     

水环境中抗生素污染的研究进展

中国是抗生素使用大国,但由于现有的污水处理技术不能有效的降解水环境中的抗生素,导致环境中抗生素含量不断增高,各种抗性基因不断产生,抗生素的有效利用率不断降低,对疾病的治愈率也越来越低,而新的抗生素的研发速度又远远慢于细菌的传播速度,因此抗生素污染的扩大严重威胁着人类健康.综述了抗生素的来源与危害,国内外抗生素的污染现状以及相应的政策措施,并对人类健康进行展望.     

发展乡村旅游对乡村生态环境影响研究

针对发展乡村旅游对乡村生态环境的影响,介绍了乡村旅游的发展现状,探讨了乡村旅游发展对乡村环境的影响,主要包括乡村旅游带来的环境问题分析和环境问题的原因分析,乡村旅游作为旅游行业一支新生力量,异军突起,在中国已形成很大的发展趋势.发展乡村旅游可以提高农民收入、合理利用乡村资源,提出对策建议,主要是充分发挥政府职能,建立健全乡村环境保护体系,制定合理的乡村旅游发展规划,加强乡村旅游的环境管理,为乡村旅游发展提出了对策建议.     

H2S匀圆杂选择性催化氧化工艺及催化剂研究现状

论述了石油流化催化裂化烟气中H2S气体的选择性催化氧化处理工艺和工艺中所使用的各种类型选择性氧化催化剂.目前已发展并投入使用的选择性氧化工艺主要有:Superclaus工艺、Euroclaus工艺、Clinsulf-Do工艺、BSR/Hi-Activity工艺、Selectox工艺和Modop工艺等,各工艺具有不同的特点和应用范围.H2S选择氧化催化剂主要包括以下几种体系:碳体系、SiC载体体系、分子筛体系、氧化物体系和柱撑黏土体系等.其中碳体系和氧化物体系的研究开展的较早较多,关于分子筛体系的研究近期有所减少,SiC是研究人员认为非常有潜力的一个载体体系,其相关体系研究也一直在进行之中,柱撑黏土体系还处于初步研究阶段,离实际应用尚有距离.     

零价铁去除废水中的汞

研究了零价铁(zero-valent iron,ZVI)去除废水中Hg2+的动力学特征及其影响因素,初步探讨了ZVI与Hg2+的作用机制.结果表明,ZVI对废水中Hg2+的最佳去除条件:Hg2+的初始浓度为0.10 mg·L-1、pH为5、ZVI用量为0.050 g、温度为25℃,获得Hg2+的去除率为94.5%.ZVI对废水中Hg2+有一个快速的去除过程,可用准一级反应动力学方程描述,速率常数为0.010 min-1.ZVI去除废水中Hg2+的机制主要是氧化还原反应、铁氧化物和氢氧化物的吸附和共沉淀作用,ZVI表面钝化是降低Hg2+去除率的主要原因,其钝化成分主要是FeOOH和Fe2O3-Fe3O4.胡敏酸可与ZVI还原产生的Fe2+、Fe3+结合形成Fe-HA复合物,增加可溶性铁的比例,缓解ZVI的钝化,对细铁氧化物和铁氢氧化物胶体具有稳定作用,增强对废水中Hg2+的吸附作用.     

高锰酸盐指数测定方法的现状及研究动态

较为全面地论述了高锰酸盐指数测定方法的发展及研究现状,指出研究试剂用量少、分析速度快、省时节能、简单易行,能同时测定多个样品的CODMn测定方法具有极为重要的意义,而研究与应用适应性强、污染少、运行可靠、性价比高的高锰酸盐指数在线监测仪则是CODMn监测的发展趋势。     

咸潮预警值设定的研究

为研究咸潮预警,上海某饮用水源地安装了蓝色卫士水质综合预警系统。采用实验室配制人工海水模拟减潮,通过动态实验研究蓝色卫士的成潮预警值。试验证明,成潮预警值设定范围为1．6～1．8较好。经过连续1a自动监测,蓝色卫士共准确预警预报两次成潮,成功保障了该水源地的饮水安全。