Do bumble bee queens choose nest sites to maximize foraging rate? Testing models of nest site selection

We proposed “foundress-max” hypothesis that a bumble bee foundress chooses her nest site to maximize her energy intake rate from nectar. To examine the hypothesis, we estimated the maximum energy intake rate at each site in the study area and compared the distribution of the maximum energy intake rates with those of actual nest sites. We also calculated rank correlations of the maximum energy intake rate with the number of nest-searching foundresses at 54 sites. The nest locations supported the foundress-max hypothesis, but the number of nest-searching foundresses did not. This could be attributed to the density of food sites: many food sites may attract many foundresses. Therefore, we subsequently proposed “foundress-sum” hypothesis that a foundress chooses her nest site to maximize the sum of energy intake rates. The nest locations supported the foundress-max hypothesis more than the foundress-sum hypothesis. A profitable food site would affect foundresses’ nest site selection.     

三种表面活性剂对高浓度DDTs污染土壤的洗脱作用

以高浓度滴滴涕(DDTs)污染场地土壤为研究对象,采用表面活性剂洗脱试验,比较研究了聚氧乙烯山梨糖醇酐单硬脂酸酯(Tween60)、辛基酚聚氧乙烯醚(TritonX 100)、十二烷基硫酸钠(SDS)对污染土壤中DDTs的洗脱效率.试验结果表明,三种表面活性剂对污染土壤中DDTs均具有一定的洗脱作用,去离子水对DDTs几乎没有洗脱效果.随着洗脱液中Tween60和SDS质量浓度的逐渐升高,土壤中DDTs的总洗脱效率逐渐增大,一次性洗脱时最大洗脱效率分别为43.60%和34.62%.随着洗脱液中TritonX 100质量浓度的逐渐升高,土壤中DDTs的总洗脱效率出现先增大后降低再升高的变化现象,最大为15.46%.土壤中六种DDT组分的洗脱效率不完全一样,其中Tween60对2,4'-DDD的洗脱效率可达55.12%,对4,4'-DDD的洗脱效率为54.09%;SDS对2,4'-DDD的洗脱效率为59.99%,对4,4'-DDD的洗脱效率为57.10%.试验结果可为筛选适宜的表面活性剂及质量浓度,研发高浓度DDTs污染场地土壤表面活性剂洗脱修复技术的工程应用提供理论依据.     

台州水系表层沉积物典型POPs污染现状及生态风险

为探讨典型废物拆解地工业结构转型期环境POPs(persistent organic pollutants,持久性有机污染物)污染特征变化情况,使用气相色谱/高分辨质谱法测定了台州水系表层沉积物中PCDD/Fs(二英类)、dl-PCBs(共平面多氯联苯)和PBDEs(多溴联苯醚),并利用主因子分析等手段分析了其来源. 结果表明,台州椒江和金清闸海湾2387-PCDD/Fs毒性当量浓度(以WHO₂₀₀₅-TEQ计,下同)中位值分别为3.18和1.91 ng/kg,dl-PCBs毒性当量浓度分别为0.26和0.62 ng/kg,w(∑PBDEs)分别为22.5和19.7 μg/kg,处于我国和全球河流(海湾)表层沉积物POPs污染的中等水平,低于其他电子废物拆解地等严重污染区. 台州河流(海湾)表层沉积物PCDD/Fs主要来源于燃煤,dl-PCBs主要来源于历史上多氯联苯的使用或电子废物拆解活动,PBDEs主要来源于相关阻燃剂的使用和电子废物拆解活动. 位于化工园区排水口的YTZ采样点PCDD/Fs和dl-PCBs的毒性当量浓度分别达到6.54×104和7.84×103 ng/kg,污染可能来源于化工废料加工和再生金属生产,表明台州在工业结构转型期出现的新POPs污染源,应引起重视. 台州部分表层沉积物样品中的PCDD/Fs和dl-PCBs的总毒性当量浓度超过美国和加拿大的沉积物质量指导值,存在一定的生态风险.      

论滇池海口闸择址重建的必要性及闸址比选

分析海口闸既有建筑物及设施的现状,从消除原水闸安全隐患,提高水位调控和泄洪除涝安全可靠性,为滇池水污染治理和水资源调度提供顺畅通道,为下游工农业用水和生态需水提供保障,提升海口河周边环境景观,保护历史建筑物等方面论述了择址重建海口闸的必要性,并根据地形、工程规模、控制范围、动拆迁量、工程地质、总体布置、工程施工、运行管理、总投资等论证比选了可行的闸址方案。     

吉林省平原区村落空心化特征及发展建议

吉林省平原区是我国传统的粮食主产区,村庄空心化聚落形态具有特殊性。以村落空心化为特征的乡村衰落是实施我国乡村振兴战略的主要阻碍。采用实地调研与问卷调查的方法,分析吉林省平原区空心村的时空扩展和空心化特征,结果发现:吉林省平原区村落空心化起始晚,但发展快;人口和宅基地空心化严重,耕地质量具有"空心化"趋势。在研究基础上,提出建议:在村庄整治中,应完善农村土地产权制度和土地流转机制,中心村实心化发展与零散空心化村落治理相结合,建设与农业产业化相适应的中心村落职能结构,建立新型职业农民培育体系,重点发展农牧业一体化的产业模式。     

多功能区工业园土壤和地表灰尘重金属污染及生态风险差异分析

多功能区工业园具有生产和生活的双重功能,园区内有色金属的冶炼和加工可能导致重金属污染从而威胁人体健康.本文选取位于长江经济带下游地区安徽中部某地级市的一个以铜加工和机械制原件为主导产业的工业园区为研究对象,通过采集并测试土壤和灰尘样品,对该园区土壤和灰尘重金属的空间分布和垂直分布特征进行分析,借助生态风险指数来评估可能存在的较高风险区域,利用相关性分析和主成分分析对重金属来源进行识别,将研究结果与不同地块分区的使用功能结合讨论,并从土壤与灰尘重金属在分布和含量上差异来探讨风险管控相关措施.结果表明,在土壤和灰尘的空间分布特征上,园区土壤中Cu、Zn、As、Pb和Cd的含量要明显高于当地土壤背景值,分别达到背景值的2.65、1.76、1.56、2.14和3.87倍.灰尘的重金属含量则明显高于土壤,Cr、Ni、Cu、Zn、Hg、As、Pb和Cd的含量均超过背景值,分别达到背景值的1.93、1.05、7.57、4.63、6.08、5.39、2.58和5.50倍.水平分布上,土壤重金属含量和综合生态风险较高的区域主要集中在园区西部;垂直分布上,随着土壤深度的增加,重金属含量并没有出现显著地上升或者下降趋势.灰尘的高重金属含量和高生态风险地区则更靠近主要的交通干道.主成分分析结果表明,靠近西边的土壤重金属偏高主要原因,可能来源于早期河水灌溉.而道路交通是导致灰尘重金属含量偏高的主要因素的可能性较大.这一土壤和灰尘重金属在空间分布来源上的差异,将对园区加强风险管控提供可参考的科学建议.包括根据不同区域的使用功能分区管理,来减少重金属对生态环境造成的污染和危害人体健康的可能性.     

Landscape disturbance caused by non-renewable energy production in a semi-arid region: a case study on the Russian steppe

Exploration and development of oil and gas (O&G) energy resources can create large-scale and permanent landscape effects that are best measured and understood via fieldwork and geospatial technologies. In this article, we examine O&G surface disturbance in the Orenburg steppe region of southwestern Russia for the year 2015. Utilizing field surveys, remote-sensing data and geographic information system (GIS) techniques, we apply a two-pronged approach. First, we map and measure the landscape infrastructure footprint (LIF) to determine the pattern and extent of direct surface disturbance created by O&G facilities and access roads. Second, we conduct a site suitability analysis to identify specific O&G production locations that are most vulnerable to environmental degradation. The approach considers both the particular properties of hydrocarbon production and specific natural features of steppe zones. Suitability patterns represent three indicators: two morphometric parameters (slope and aspect) and one spatial (the remoteness of O&G objects from water bodies). Our findings suggest that O&G production disturbs just over 3% of soil-vegetation cover in our study plot, while more than 13% of O&G objects are located in unsuitable zones based on topographic aspect, and about 11% lie in unsuitable zones regarding distance to water.     

耦合健康风险与生命周期评价的场地修复环境经济影响评估

我国污染场地数量众多,对当地环境和健康安全造成了巨大威胁,亟待开展治理修复,同时也需要关注修复过程的绿色可持续性.本文基于绿色可持续修复（GSR）的理念,提出了健康风险评价（HRA）和生命周期评价（LCA）耦合的评估框架,用于计算结合健康风险和修复二次环境影响的净环境效益（NEB）,并以中国西南地区某多环芳烃和汞污染的工业场地为例,在现行的修复目标制定框架内,对不同修复目标下的NEB进行了评估.结果表明,在不同权衡选择下,案例最佳的修复目标带来的NEB是直接选择筛选值目标的1.6~15倍,单位经济投入带来的NEB是直接选择筛选值的3~7倍.决策者可应用提出的综合评估框架,平衡当地环境质量改善和修复过程的二次影响,以提高场地修复工程的环境经济可持续性.     

污染地块土壤多氯联苯风险筛选值研究

污染地块土壤多氯联苯（PCBs）污染主要来自含PCBs电力设备封存点的泄漏及非故意产生源,建立土壤PCBs筛选标准是开展PCBs污染地块调查、评估和修复的基础.本研究通过文献分析统计了典型PCBs单体的占比,并基于人体健康风险评估模型推导了污染地块土壤PCBs风险筛选值.结果表明,不同商用PCBs混合物中共平面PCBs总量（∑Co-PCBs）占比为0.01%~16.10%,难以代表PCBs的总体风险水平.研究建立了PCBs总量、指示性PCBs总量（∑Id-PCBs）及∑Co-PCBs等3个指标共同作为土壤PCBs筛选值体系,敏感用地和非敏感用地情景下,PCBs总量、∑Id-PCBs、∑Co-PCBs分别为2.10、0.24、0.03 mg·kg^-1和6.20、0.71、0.09 mg·kg^-1.通过6个含PCBs电容器地下封存点485个污染土壤样品的分析,进一步证明了仅控制∑Co-PCBs将低估PCBs污染风险,采用本研究提出的3个指标进行筛选能够更有效地识别和评估PCBs污染地块的风险.     

Washing out heavy metals from contaminated soils from an iron and steel smelting site

Washing is a promising method for separating contaminants bound to the particles of soil ex-situ by chemical mobilization. Laboratory batch washing experiments were conducted using deionized water and varying concentrations of oxalic acid, citric acid, tartaric acid, acetic acid, hydrochloric acid and ethylenediaminetetra acetic acid (EDTA) to assess the efficiency of using these chemicals as washing agents and to clean up heavy metals from two heavily polluted soils from an iron and streel smelting site. The toxicity reduction index and remediation costs were analyzed, and the results showed that the soils were polluted with Cd, Pb and Zn. Hydrochloric acid and EDTA were more efficient than the other washing agents in the remediation of the test soils. The maximum total toxicity reduction index showed that 0.5 mol·L^-1 hydrochloric acid could achieve the remediation with the lowest costs.