Validating graph-based connectivity models with independent presence–absence and genetic data sets

Habitat connectivity is a key objective of current conservation policies and is commonly modeled by landscape graphs (i.e., sets of habitat patches [nodes] connected by potential dispersal paths [links]). These graphs are often built based on expert opinion or species distribution models (SDMs) and therefore lack empirical validation from data more closely reflecting functional connectivity. Accordingly, we tested whether landscape graphs reflect how habitat connectivity influences gene flow, which is one of the main ecoevolutionary processes. To that purpose, we modeled the habitat network of a forest bird (plumbeous warbler [Setophaga plumbea]) on Guadeloupe with graphs based on expert opinion, Jacobs’ specialization indices, and an SDM. We used genetic data (712 birds from 27 populations) to compute local genetic indices and pairwise genetic distances. Finally, we assessed the relationships between genetic distances or indices and cost distances or connectivity metrics with maximum-likelihood population-effects distance models and Spearman correlations between metrics. Overall, the landscape graphs reliably reflected the influence of connectivity on population genetic structure; validation R² was up to 0.30 and correlation coefficients were up to 0.71. Yet, the relationship among graph ecological relevance, data requirements, and construction and analysis methods was not straightforward because the graph based on the most complex construction method (species distribution modeling) sometimes had less ecological relevance than the others. Cross-validation methods and sensitivity analyzes allowed us to make the advantages and limitations of each construction method spatially explicit. We confirmed the relevance of landscape graphs for conservation modeling but recommend a case-specific consideration of the cost-effectiveness of their construction methods. We hope the replication of independent validation approaches across species and landscapes will strengthen the ecological relevance of connectivity models.     

Understanding and addressing the environmental risk of microplastics

Over the past decades, the plastic production has been dramatically increased. Indeed, a category of small plastic particles mainly with the shapes of fragments, fibers, or spheres, called microplastics (particles smaller than 5 mm) and nanoplastics (particles smaller than 1 μm) have attracted particular attention. Because of its wide distribution in the environment and potential adverse effects to animal and human, microplastic pollution has been reported as a serious environment problem receiving increased attention in recent years. As one of the commonly detected emerging contaminants in the environment, recent evidence indicates that the concentration of microplastics show an increasing trend, for the reason that up to 12.7 million metric tons of plastic litter is released into aquatic environment from land-based sources each year. Furthermore, microplastic exposure levels of model organisms in laboratory studies are usually several orders of magnitude higher than those found in environment, and the microplastics exposure conditions are also different with those observed in the environment. Additionally, the detection of microplastics in feces indicates that they can be excreted out of the bodies of animal and human. Hence, great uncertainties might exist in microplastics exposure and health risk assessment based on current studies, which might be exaggerated. Policies reduce microplastic emission sources and hence minimize their environmental risks are determined. To promote the above policies, we must first overcome the technical obstacles of detecting microplastics in various samples.     

Influence of H2S and NH3 on biogas dry reforming using Ni catalyst: a study on single and synergetic effect

● NH₃ in biogas had a slight inhibitory effect on dry reforming. ● Coexistence of H₂S and NH₃ led to faster decline of biogas conversion. ● Regeneration was effective for catalysts deactivated under synergetic effect. Biogas is a renewable biomass energy source mainly composed of CH₄ and CO₂. Dry reforming is a promising technology for the high-value utilization of biogas. Some impurity gases in biogas can not be completely removed after pretreatment, which may affect the performance of dry reforming. In this study, the influence of typical impurities H₂S and NH₃ on dry reforming was studied using Ni/MgO catalyst. The results showed that low concentration of H₂S in biogas could cause serious deactivation of catalyst. Characterization results including EDS, XPS and TOF-SIMS confirmed the adsorption of sulfur on the catalyst surface, which was the cause of catalyst poisoning. We used air calcination method to regenerate the sulfur-poisoned catalysts and found that the regeneration temperature higher than 500 °C could help catalyst recover the original activity. NH₃ in the concentration range of 50–10000 ppm showed a slight inhibitory effect on biogas dry reforming. The decline rate of biogas conversion efficiency increased with the increase of NH₃ concentration. This was related to the reduction of oxygen activity on catalyst surface caused by NH₃. The synergetic effect of H₂S and NH₃ in biogas was investigated. The results showed that biogas conversion decreased faster under the coexistence of H₂S and NH₃ than under the effect of H₂S alone, so as the surface oxygen activity of catalyst. Air calcination regeneration could also recover the activity of the deactivated catalyst under the synergetic effect of H₂S and NH₃.     

鲤鱼对2,6-二硝基甲苯的生物浓缩、消除与代谢研究

 以鲤鱼为实验生物，应用流动式摄取及释放装置，进行了2，6－二硝基甲苯（2，6－DNT）的生物浓缩与释放研究。取得了2，6－DNT在鲤鱼（全鱼）、肝及肠部的生物浓缩曲线。全鱼的浓缩曲线可以稳态（平台式）曲线描述，但是肝、肠部浓缩曲线均呈峰形。肝部峰快速下降后渐趋稳态，肠部峰下降未得稳态。峰形，肝在先，肠在后。对比2，6－DNT在全鱼及肝、肠的生物浓缩曲线，并参照报道_（1，2）指出，全鱼摄取曲线上各点所表现的浓度值为各时刻鱼体内各组织摄取化学品总重对全鱼重量的比值。肝、肠部峰形曲线预示了在肝、肠内生物浓缩过程发生了生物转化作用。对全鱼的生物浓缩过程应用单区一级动力学模型，求得BCF值与消除速率常数K₁与K₂，由K₁/K₂计算得到的BCF值与实测值相符。释放较慢，释放曲线呈双曲线形，半减期为4.8h。     

矿化垃圾床反应器厌氧甲烷氧化协同生物脱氮的研究

垃圾卫生填埋过程中逸散的甲烷与渗滤液处理过程中反硝化段不够彻底产生的硝酸盐对周围环境具有严重的威胁,反硝化厌氧甲烷氧化技术可实现甲烷与硝酸盐的同步去除,极具应用前景.本研究通过模拟垃圾填埋过程,以矿化垃圾作为垃圾填埋的覆土层与反硝化厌氧甲烷氧化微生物的接种源,建立了矿化垃圾床系统.结果表明,反应系统在140d的运行期间...     

双波长气溶胶粒径传感方法及其火灾烟雾探测器

提出了双波长光散射气溶胶粒径传感方法,设计实现了采用该方法的双波长火灾烟雾探测器。使用短波长和长波长的双波长光源,通过计算其光功率比值,利用其与中值粒径的关系函数获得气溶胶粒径,并根据不同粒径下的气溶胶浓度分别给出大小不同粒径的火灾烟雾或干扰气溶胶提示。因而,不仅可以有效区分大小不同粒径的火灾烟雾气溶胶,以正确探测火灾,而且能够识别微米级的大粒径干扰粒子,降低火灾误报率,可以应用于飞机等航空器空中密闭的特殊环境。     

船桥撞击力影响因素有限元仿真模拟分析∗

为了探究船桥碰撞时船撞力的影响因素,选取合适的船撞力为桥梁设计提供参考,采用动力分析软件 LS ? DYNA,结合沪通长江大桥、天生港专用航道桥以及厦漳大桥三座实桥,分别进行了不同船速、不同通航水位、不同基础形式和不同船型等因素对船撞力的影响分析研究。研究结果表明：船撞力峰值和船速正相关;中通行水位时, 船桥撞击动力响应最大;不同桥墩基础和不同船型对船撞力有较大影响。基于中国铁路规范和有限元计算结果, 考虑了船舶类型和基础类型对船撞力的影响,对船撞力计算公式提出改进方法,所得研究结果可为桥梁抗撞设计和研究提供参考。     

海湾深厚海床场地二维非线性远场强地震反应特征∗

人们早已认识到远距离强地震可能引起覆盖层深厚的沿海或盆地城市发生严重的地震灾害。以某杭州湾跨海通道为背景,建立跨海湾海床二维场地的精细化有限元模型,依据区域地震活动性,选取远场大地震井下记录作为海床基岩的输入地震动,考虑地震动特性、海床微地形特征、沉积土的空间异质性和非线性滞回特性,研究了远场强震引起的海床场地非线性地震效应特征。海床场地效应与海床微地形特征、沉积土的空间异质性和输入地震动特性密切相关。凹陷地表边缘、基岩隆起和凹陷部位及海床土软弱区域的场地放大效应显著,呈现出低频聚焦现象,且竖向地震反应更为明显。仅考虑水平向地震作用将显著低估海床非线性场地效应程度,水平向和竖向地震同时作用引起的竖向地震效应不应忽视。     

基于可公度法的航材故障预测

介绍了可公度性的概念和可公度信息预测理论。应用可公度信息预测理论,以故障时间窗口期为研究对象,对航材故障预测进行了初步探索,进而建立了一种较为实用的预测模型,并且给出了具体算例,验证所建模型的科学性和有效性。通过与指数平滑法预测模型对比可看到可公度预测模型精度更高且计算模型更为简单,为航材故障次数预测提供了一种解决方案。进而可以更好地应用在实践当中,提高航材管理水平,保障飞行任务的完成。