我国环境污染导致健康损害的赔偿保障体系思考

本文就我国现有法律法规体系、技术现状及组织体系进行剖析。结果表明,我国环境污染导致健康损害赔偿的法律支撑体系严重不足,亟需出台适合我国国情的《环境损害赔偿法》,从法律层面对整个健康损害的赔偿保障体系进行明确指导。针对现有健康损害赔偿的技术支撑体系严重缺乏、认定机构的人员队伍建设薄弱等现状,本文提出应加大相关组织队伍建设,以提高环境损害的技术支撑能力。此外,还需要建立一个更高级别的专业的环境健康污染损害、赔偿与协调机构。该机构应是由国家多部门(环境保护部、保监会、财政部、卫生部、司法部等)共同认可的第三方仲裁机构,且具备独立的性质,负责污染导致的损失评估、责任认定、事故处理、资金赔付等各项仲裁工作。     

Community cohesion after a natural disaster: insights from a Carlisle flood

This project analysed changes in community cohesion following a natural disaster. Data were collected from a flood‐affected community using a questionnaire survey. Analyses revealed that community cohesion was not predicted by the length of residence, or any other demographic characteristic of residents, but rather by a sense of community, community cognition and the degree of community participation. Cohesion alteration was not uniform, but varied along levels of hazard severity (degree of flood invasion). Cohesion increased in line with hazard severity at the initial flood stage, as residents recognised the importance of community unity and came together to cope with their losses. When the severity increased, residents transferred their focus to individual interests, which resulted in decreased cohesion. This project distinguishes itself in examining community cohesion in the wake of a natural disaster in the real world. Implications regarding community reconstruction and suggestions for hazard researchers are discussed accordingly.     

Effects of site-selection bias on estimates of biodiversity change

Estimates of biodiversity change are essential for the management and conservation of ecosystems. Accurate estimates rely on selecting representative sites, but monitoring often focuses on sites of special interest. How such site-selection biases influence estimates of biodiversity change is largely unknown. Site-selection bias potentially occurs across four major sources of biodiversity data, decreasing in likelihood from citizen science, museums, national park monitoring, and academic research. We defined site-selection bias as a preference for sites that are either densely populated (i.e., abundance bias) or species rich (i.e., richness bias). We simulated biodiversity change in a virtual landscape and tracked the observed biodiversity at a sampled site. The site was selected either randomly or with a site-selection bias. We used a simple spatially resolved, individual-based model to predict the movement or dispersal of individuals in and out of the chosen sampling site. Site-selection bias exaggerated estimates of biodiversity loss in sites selected with a bias by on average 300–400% compared with randomly selected sites. Based on our simulations, site-selection bias resulted in positive trends being estimated as negative trends: richness increase was estimated as 0.1 in randomly selected sites, whereas sites selected with a bias showed a richness change of −0.1 to −0.2 on average. Thus, site-selection bias may falsely indicate decreases in biodiversity. We varied sampling design and characteristics of the species and found that site-selection biases were strongest in short time series, for small grains, organisms with low dispersal ability, large regional species pools, and strong spatial aggregation. Based on these findings, to minimize site-selection bias, we recommend use of systematic site-selection schemes; maximizing sampling area; calculating biodiversity measures cumulatively across plots; and use of biodiversity measures that are less sensitive to rare species, such as the effective number of species. Awareness of the potential impact of site-selection bias is needed for biodiversity monitoring, the design of new studies on biodiversity change, and the interpretation of existing data.     

Identifying robust strategies for assisted migration in a competitive stochastic metacommunity

Assisted migration (AM) is the translocation of species beyond their historical range to locations that are expected to be more suitable under future climate change. However, a relocated population may fail to establish in its donor community if there is high uncertainty in decision-making, climate, and interactions with the recipient ecological community. To quantify the benefit to persistence and risk of establishment failure of AM under different management scenarios (e.g., choosing target species, proportion of population to relocate, and optimal location to relocate), we built a stochastic metacommunity model to simulate several species reproducing, dispersing, and competing on a temperature gradient as temperature increases over time. Without AM, the species were vulnerable to climate change when they had low population sizes, short dispersal, and strong poleward competition. When relocating species that exemplified these traits, AM increased the long-term persistence of the species most when relocating a fraction of the donor population, even if the remaining population was very small or rapidly declining. This suggests that leaving behind a fraction of the population could be a robust approach, allowing managers to repeat AM in case they move the species to the wrong place and at the wrong time, especially when it is difficult to identify a species’ optimal climate. We found that AM most benefitted species with low dispersal ability and least benefited species with narrow thermal tolerances, for which AM increased extinction risk on average. Although relocation did not affect the persistence of nontarget species in our simple competitive model, researchers will need to consider a more complete set of community interactions to comprehensively understand invasion potential.     

A double‐edged sword: Realities of artisanal and small‐scale mining for rural people in the Alaotra region of Madagascar

A growing number of people are entering the artisanal and small‐scale mining (ASM) sector worldwide. In Madagascar, millions of individuals depend on this informal activity. Through a case study in the Alaotra‐Mangoro region of Madagascar, our research aimed to understand the “bottom‐up” dynamics and ripple effects of the sector, by looking at the realities for rural communities where inhabitants are both directly and indirectly affected by ASM. We were interested in community members' and miners' perceptions of the socio‐economic and environmental impacts of ASM, and in identifying the factors attracting people living in one of the country's agricultural hubs to this activity. Our results show a wide diversity of push and pull factors leading people to enter the sector. Although many positive impacts of ASM exist for miners and communities within the vicinity of mines, most miner participants considered themselves worse off since starting to mine, highlighting the high risk and low probability of return of ASM. ASM's potential for local and national development will remain squandered if its negative impacts continue to go unmanaged. Accounting for local contexts and the ripple effects of ASM will be crucial in achieving safety and security for miners, and to tap into the benefits it may offer communities while minimising environmental damage.     

动物粪便施肥措施促进耐药基因在粪便-土壤-蔬菜之间的散播

耐药基因（antibiotic resistant gene,ARG）在动物粪肥施用的土壤中被越来越多地检出,已经引起了人们对公共安全的担忧,但目前关于动物粪便施肥对蔬菜内生菌中耐药基因的影响尚不清楚.因此,本研究利用高通量定量PCR技术,探讨鸡粪肥施用对土壤、苦菊根和叶片中内生细菌菌群和耐药基因谱的影响.研究结果发现,鸡粪肥的施用不仅增加了土壤和苦菊根内生菌中ARG的数量,而且增加了土壤、苦菊根和叶片中内生菌的ARG丰度.相关性分析显示,土壤菌群和苦菊内生菌中ARG谱与细菌菌群组成密切相关,主要涉及变形杆菌纲、酸杆菌纲、放线菌纲和蓝藻细菌纲等细菌菌群.此外,苦菊内生菌与土壤菌群之间存在共有的ARG,表明土壤-苦菊之间存在耐药基因的内部传播.综上所述,鸡粪肥施用会通过粪便-土壤-植物路径增加蔬菜内生菌中ARG的多样性和丰度.     

渔业复垦塌陷地抗生素抗性基因与微生物群落

水产养殖行业抗生素的广泛使用引起了抗生素抗性基因（antibiotic resistance genes,ARGs）污染问题.为探究渔业复垦塌陷地ARGs污染特征,利用宏基因组学技术检测分析了渔业复垦塌陷地ARGs的相对丰度和微生物群落结构.研究区域共检测出29种ARGs,bacA在所有样品中相对丰度最高,达1.96×10^-5~1.19×10^-4.沉积物中磺胺类和四环素类ARGs相对丰度较高,井水中多药类ARGs相对丰度较高.微生物群落结构表明变形菌门（Proteobacteria）在所有样品中为最优势细菌门,沉积物中绿弯菌门（Chloroflexi）和广古菌门（Euryarchaeota）较为优势.属水平上,硫杆菌属（Thiobacillus）为沉积物中最优势细菌属,不动杆菌属（Acinetobacter）和假单胞菌属（Pseudomonas）为井水中优势细菌属.ARGs与微生物相关性分析表明,菌属与ARGs间主要呈中度相关,多种菌属与ARGs显著正相关,ARGs的分布受微生物群落结构的重要影响.渔业复垦塌陷地沉积物与井水均受到ARGs污染,应加强相应控制措施保护区域环境.     

基于高通量测序的微生物强化污泥减量工艺中微生物群落解析

利用高通量测序技术对微生物强化原位污泥减量工艺中微生物群落进行解析.结果表明,外源菌剂的投加改变了活性污泥中微生物群落结构,菌剂的有效成分乳杆菌属和醋酸杆属在强化组中含量显著增加.科水平上的群落多样性分析显示：强化组厌氧区Siompson指数、Shannon指数和Pielou指数均不同程度升高,群落多样性增加.聚类分析显示,微生物群落按时间顺序明显聚为3簇,强化组厌氧区微生物群落随时间发生较大演变.主坐标分析显示,强化组和对照组微生物群落明显聚为2类,其厌氧区群落分别按照不同的方向演变,微生物强化和DO降低的协同作用是强化组群落演变驱动力,DO降低是对照组群落演变驱动力.典范对应分析显示显著影响微生物群落结构的环境因子依次为pH值、水温和DO.     

赣江南昌段丰水期细菌群落特征

细菌群落是河流生态系统的重要组成部分,本次研究基于高通量测序技术分析了赣江南昌段丰水期（4～8月）细菌群落特征.结果表明,赣江南昌段细菌优势类群为放线菌门（Actinobacteria, 41.18%）和变形菌门（Proteobacteria, 31.79%）,其次为厚壁菌门（Firmicutes, 10.04%）,拟杆菌门（Bacteroidetes, 7.26%）,蓝藻菌门（Cyanobacteria, 4.01%）.在属分类水平上,相对丰度最高的是hgcI_clade（16.39%）.赣江南昌段细菌丰度和多样性在城区上游、城区中心和城区下游采样点间没有显著差别,在不同月份有显著差别.除变形菌门（Proteobacteria）和疣微菌门（Verrucomicrobia）外,其它门水平分类细菌相对丰度在不同月份都有显著差异;不同采样点中,只有Proteobacteria差异显著（主要是Betaproteobacteria差异显著）,其它门水平分类细菌相对丰度在不同采样点的差异均不显著.温度和流量是影响河流细菌群落的主要因子,其中温度与细菌可操作分类单元（OTU）相关性更高,流量则与门分类水平细菌相关性更高,暴雨径流中Firmicutes取代Actinobacteria和Proteobacteria成为丰度最高的菌群.温度、流量和电导率（EC）是影响OTU的最佳环境因子组合,流量和温度是影响门水平细菌群落的最佳环境因子组合.河水化学指标对细菌群落的影响小于温度、流量等水文气象条件.     

除草剂硝磺草酮对土壤微生物生态效应研究

采用室内培养试验,研究了硝磺草酮对土壤酶活性和微生物群落功能多样性的影响.结果表明,土壤过氧化氢酶和蔗糖酶活性随硝磺草酮浓度增加呈现先增加后降低的趋势,但比对照处理都有所升高,分别增加了22.6%~41.0%和3.4%~54.2%,且在硝磺草酮浓度为50mg/kg时达到最大.与之相反,尿酶活性则降低了12.0%~18.6%,但差异性不明显(P > 0.05).施用一定浓度的硝磺草酮激活了土壤微生物活性,微生物群落丰富度、均匀性和多样性都呈增长趋势,单孔的平均颜色变化率(AWCD)值和利用速率均随硝磺草酮浓度增加而增大,微生物群落对碳水化合物类、氨基酸类、多聚物类、羧酸类、胺类和酚酸类利用率整体上均有所提高,与对照相比,最大增幅分别达到5.3、1.0、4.4、3.2、0.2和6.8倍,但不同浓度硝磺草酮处理下土壤微生物在利用碳源的类型上是存在一定的差异.