Estimating species richness and accumulation by modeling species occurrence and detectability

A statistical model is developed for estimating species richness and accumulation by formulating these community-level attributes as functions of model-based estimators of species occurrence while accounting for imperfect detection of individual species. The model requires a sampling protocol wherein repeated observations are made at a collection of sample locations selected to be representative of the community. This temporal replication provides the data needed to resolve the ambiguity between species absence and nondetection when species are unobserved at sample locations. Estimates of species richness and accumulation are computed for two communities, an avian community and a butterfly community. Our model-based estimates suggest that detection failures in many bird species were attributed to low rates of occurrence, as opposed to simply low rates of detection. We estimate that the avian community contains a substantial number of uncommon species and that species richness greatly exceeds the number of species actually observed in the sample. In fact, predictions of species accumulation suggest that even doubling the number of sample locations would not have revealed all of the species in the community. In contrast, our analysis of the butterfly community suggests that many species are relatively common and that the estimated richness of species in the community is nearly equal to the number of species actually detected in the sample. Our predictions of species accumulation suggest that the number of sample locations actually used in the butterfly survey could have been cut in half and the asymptotic richness of species still would have been attained. Our approach of developing occurrence-based summaries of communities while allowing for imperfect detection of species is broadly applicable and should prove useful in the design and analysis of surveys of biodiversity.     

Sequential removal of heavy metals ions and organic pollutants using an algal-bacterial consortium

The residual algal-bacterial biomass from photosynthetically supported, organic pollutant biodegradation processes, in enclosed photobioreactors, was tested for its ability to accumulate Cu(II), Ni(II), Cd(II), and Zn(II). Salicylate was chosen as a model contaminant. The algal-bacterial biomass combined the high adsorption capacity of microalgae with the low cost of the residual biomass, which makes it an attractive biosorbent for environmental applications. Cu(II) was preferentially taken-up from the medium when the metals were present both separately and in combination. There was no observed competition for adsorption sites, which suggested that Cu(II), Ni(II), Cd(II), and Zn(II) bind to different sites and that active Ni(II), Cd(II) and Zn(II) binding groups were present at very low concentrations. Therefore, special focus was given to Cu(II) biosorption. Cu(II) biosorption by the algal-bacterial biomass was characterized by an initial fast cell surface adsorption followed by a slower metabolically driven uptake. pH, Cu(II), and algal-bacterial concentration significantly affected the biosorption capacity for Cu(II). Maximum Cu(II) adsorption capacities of 8.5+/-0.4 mg g-1 were achieved at an initial Cu(II) concentration of 20 mg l-1 and at pH 5 for the tested algal-bacterial biomass. These are consistent with values reported for other microbial sorbents under similar conditions. The desorption of Cu(II) from saturated biomass was feasible by elution with a 0.0125 M HCl solution. Simultaneous Cu(II) and salicylate removal in a continuous stirred tank photobioreactor was not feasible due to the high toxicity of Cu(II) towards the microbial culture. The introduction of an adsorption column, packed with the algal-bacterial biomass, prior to the photobioreactor reduced Cu(II) concentration, thereby allowing the subsequent salicylate biodegradation in the photobioreactor.     

"三大定律"警示基层安全管理工作

近两年来,频繁发生的"12·23重庆井喷"、"4·15重庆天原化工厂氯气泄漏"、"吉化11·13苯泄露事件"等等安全事故,让人触目惊心.从这些事故原因中,我们不难看到钻井作业卸掉"防喷阀"、危险化学品车辆押运员"逃逸"、化工厂职工现场"处置不当"等不安全状态(侥幸心理和麻痹大意思想)是导致这些事故发生的直接原因.我们安全管理人员在分析以上事故原因,吸取惨痛教训的同时,不能忽视事故发生的规律,并且应注重"安全管理三大定律"对基层安全管理和安全培训教育工作的启示.     

耕作制度对川中丘陵区冬灌田CH4和N2O排放的影响

采用静态暗箱/气相色谱法连续2 a田间原位测定,研究川中丘陵区冬灌田CH₄和N₂O的排放特征和不同耕作制度对冬灌田CH₄和N₂O排放的影响.结果表明,1a只种1季中稻冬季灌水休闲的冬灌田(PF),在水稻生长期,CH₄平均排放通量为(21.44±1.77)mg·(m²·h)^-1,非水稻生长期为(3.77±0.99)mg·(m²·h)^-1,分别大大低于以前文献报道的在西南其它地方观测值;全年CH₄排放量以水稻生长期CH₄排放量为主,非水稻生长期CH₄排放量仅占全年总排放量的23.2%.冬灌田N₂O排放通量年均值为(0.051±0.008)mg·(m²·h)^-1,且主要集中在水稻生长季,非水稻生长期N₂O排放量仅占全年总排放量的8.1%.在采用水旱轮作制后,冬灌田CH₄排放量大大降低,稻-麦轮作(RW)和稻-油菜轮作(RR)全年CH₄排放量分别为PF的43.8%和40.6%.但冬灌田改为水旱轮作制后,N₂O排放量显著增大,RW和RR的N₂O年排放量分别是PF的3.7倍和4.5倍.综合考虑冬灌田在采用不同耕作制度后排放CH₄和N₂O的全球增温潜势(GWP),无论是短时间尺度还是长时间尺度,采用3种耕作制度全年所排放的CH₄和N₂O所产生的综合GWP都为:PF RW≈RR.在20a、100a和500a时间尺度上,PF分别约是RW和RR的2.6、2.1和1.7倍.冬灌田改为水旱轮作制度后能大大减少CH₄和N₂O所产生的综合GWP.     

水流作用下悬挂式防污帘有效深度数值模拟

水流与结构相互作用下的防污帘有效深度是影响其防污效果的关键因素.为探究防污帘有效深度随流速等参数的变化,基于ADINA软件动网格控制技术,结合双向流固耦合方法建立悬挂式防污帘大变形二维有限元数值模型,以分析流速、帘长及配重对防污帘有效深度的影响规律.运用防污帘变形倾角,描述悬挂式防污帘在不同负载下的变形特征,并回归拟合防污帘相对有效深度的预测经验公式.结果表明:悬挂式防污帘相对有效深度随流速增大而减小,随相对帘长与配重的增大而增大;倾角随流速与相对帘长的增大而增大,随配重的增大而减小.     

基于随机森林算法与农户视角的村落级农业面源污染风险分析

当前农业面源污染问题依然严峻,村落级尺度下各地块的污染风险状态精细识别有待进一步研究.本文针对三峡库区典型村落重庆市涪陵区南沱镇睦和村进行研究,结合无人机多光谱技术、农户行为调研、随机森林算法等进行地物识别及泛地块网格划分,通过测算总氮(total nitrogen,TN)、总磷(total phosphorus,TP...     

加油站火灾爆炸故障树分析

采用安全系统工程的方法,对加油站的火灾爆炸事故进行了故障树分析。通过故障树分析,得出4个最小径集,指明了预防事故发生的可能途径;从而确定出加油站火灾爆炸事故的预防措施,并做出安全检查表,以供现场实施参考。     

瞬间劫难

2003年8月16日傍晚,辛劳一天的农民和牧民拖着疲惫的身躯走在回家的路     

金属系无机抗菌材料研究进展

主要介绍金属系无机抗菌材料。从材料的选择和合成方面,讨论了材料的特性和抗菌功能相结合的途径,归纳出抗菌材料的制备工艺的一般规律,为开发适合我国国情的无机抗菌材料提供思路。     

某冶炼厂周边土壤环境Cd元素现状调查、污染预警及综合治理

对某冶炼厂以南约30km^3的区域进行了Cd元素土壤地球化学调查,分析了造成Cd富集的原因。通过统计分析,总结了土壤中Cd含量的空间分布特征(包括区域分布和垂向分布),并结合Cd元素的赋存形式、迁移机制对这些特征的成因进行了较为具体的解释。计算了该区cd的污染指数,以及受不同程度污染的土壤面积占研究区面积的百分比。运用“化学定时炸弹”的理论,对该区土壤达到I}缶界含量的年限进行了估测。针对该区的污染来源及状况,提出了综合治理对策。