用RBCA和CLEA模型推导土壤中苯并[a]芘的标准值

我国现行土壤环境质量标准中尚未包含苯并[a]芘(B[a]P). 分别应用2种国际上认可的RBCA和CLEA模型,获取了土壤中B[a]P的标准值,并对2种模型的计算结果和取值进行了比较. 结果表明,在目标风险水平设定为10-5时,RBCA和CLEA模型计算的住宅用地土壤B[a]P标准值分别为0.83和1.21 mg/kg;工业用地标准值分别为4.10和26.30 mg/kg. 2种模型住宅用地的标准差异不大,且与其他国家的标准水平基本接近;工业用地的标准差异较大,其中RBCA模型的结果更接近于其他国家标准,而CLEA模型的结果则明显偏高. 造成2种模型计算结果差异的原因主要来自于两方面,即模型的方法原理不同导致的暴露量计算差异以及采用的毒理学数据来源不同导致的数据水平差异. 2种模型暴露途径解析的结果均表明,经口摄入和皮肤接触是土壤污染物B[a]P人体暴露的主要途径,而口鼻吸入导致的暴露量很小.      

全面安全管理-6 Sigma方法论

概述了最新全面管理工具 6Sigma方法论的概念、原理 ,以及 6Sigma持续循环的 5个阶段在现代企业全面安全管理中的应用     

6-苄氨基腺嘌呤对江汉平原小麦开花后渍害的缓减效应研究

于2011~2012年度及2012~2013年度开展小麦开花后渍水试验,研究开花后渍水对小麦产量的影响及渍水前喷施6-苄氨基腺嘌呤(6-BA)对产量的效应。结果表明,2011~2012年度及2012~2013年度江汉平原小麦开花期至成熟期均有持续降水分布,其中2011年4~5月累计降雨量达1941 mm,2012年同期累计降雨量达2855 mm,表明江汉平原小麦生殖生长期有较大渍害风险。本试验研究表明,开花后渍水,小麦植株衰老进程加速,叶片严重早衰失绿,旗叶光合速率降低;渍水前喷施6-BA,可缓减叶片衰老趋势,缩小旗叶光合速率降低幅度。开花后渍水亦导致根系活力降低,渍水前喷施6-BA可缓减根系活力降低,其中至灌浆中期,渍水处理根系活力仅为对照的563%,6-BA+渍水处理根系活力较渍水处理提高66%,差异达显著水平。渍水处理生物产量及籽粒产量均显著低于对照,渍水前喷施6-BA,生物产量、籽粒产量较渍水处理比较均有所提高,其中生物产量较渍水处理提高77%,籽粒产量提高137%。总之,在本试验条件下,开花后渍水导致光合速率、根系活力、生物产量、籽粒产量等显著降低,渍水前喷施6-BA可在一定程度上缓减渍害效应,在渍害发生后促进籽粒产量形成,据2011~2012年度及2012~2013年度产量结果估算,渍水前喷施6-BA相当于每6667 m2可减少427 kg 产量损失,即约1/3以上的田块未发生渍害     

散射光下铁(Ⅲ)-丙酮酸盐配合物还原铬(Ⅵ)的研究

研究了在散射光下铁（Ⅲ）-丙酮酸盐配合物对铬（Ⅵ）的光还原反应;考察了溶液pH、铁（Ⅲ）、丙酮酸钠、铬（Ⅵ）浓度对反应的影响;分析了铬（Ⅵ）光还原反应的动力学。实验结果表明：铁（Ⅲ）-丙酮酸盐配合物体系能在较弱的散射光下还原铬（Ⅵ）。在铬（Ⅵ）浓度为19．2μmol／L、铁（Ⅲ）浓度为10．0μmol／L、丙酮酸钠浓度为240μmol／L、pH为3．0、光照240min的条件下,铬（Ⅵ）的还原率达到99．7％。从表观动力学方程的反应级数看,铁（Ⅲ）的级数（0．83）最高,铁（Ⅲ）浓度是影响铬（Ⅵ）光还原反廊速率的主要因素．铁（Ⅱ）是铬（Ⅵ）光还原的主要还原剂。     

苯并(a)芘在黄河水体不同粒径颗粒物上的表面吸附和分配作用特征

模拟实验研究了苯并(a)芘在黄河水体不同粒径颗粒物上的吸附作用,重点探讨了颗粒物粒径对苯并(a)芘的表面吸附和分配作用的影响.结果表明:(1)苯并(a)芘在黄河水体颗粒物上的吸附符合表面吸附-分配作用复合模式(2)苯并(a)芘在粒径d≥0.025 mm颗粒物上的吸附以表面吸附为主,表面吸附对吸附的贡献在68.7%至82.4%之间;当苯并(a)芘液相平衡浓度为0～8.87μg·L-1时,其在粒径0 007 mm≤d＜0.025 mm颗粒物上的吸附以表吸附作用为主,当液相平衡浓度大于8.87μg·L-1时,吸附以分配作用为主;苯并(a)芘在粒径d＜0.007 mm颗粒物上的吸附以分配作用为主;(3)苯并(a)芘在不同粒径颗粒物上的表面吸附对总吸附的贡献大小顺序为:(d≥0.025 mm)＞(0.007 mm≤d＜0 025 mm)＞(d＜0.007 mm);(4)苯并(a)芘在不同粒径颗粒物中的分配系数与有机质含量呈线性相关,其标化分配系数Koc约为1.26×105L·kg-1.     

废水中2,6-二硝基酚厌氧毒性和降解动力学研究

在中温(35℃±1℃)厌氧条件下,以葡萄糖为共基质,采用间歇实验方法,研究了2,6-二硝基酚(2,6-DNP)的厌氧产甲烷毒性和厌氧降解动力学.厌氧毒性试验(ATA)以累计产甲烷量和相对活性(RA)为指标,评价了不同浓度2,6-DNP对产甲烷菌的抑制程度;结果表明,2,6-DNP浓度＜20 mg/L时,对产甲烷菌没有抑制作用,浓度为40 mg/L时产生轻度抑制,浓度为80～120 mg/L时产生重度抑制;24 h 2,6-DNP的75%、50%、25%相对抑制浓度分别为30、70和＞120 mg/L.2,6-DNP降解动力学可用Haldane方程来描述,利用非线性拟合求得动力学参数Ks、Rm、Ki分别为179.7 mg/L、4.84 mg/g VSS·h、206.5 mg/L,方差R2=0.94,拟合效果很好.     

Scaling range sizes to threats for robust predictions of risks to biodiversity

Assessments of risk to biodiversity often rely on spatial distributions of species and ecosystems. Range‐size metrics used extensively in these assessments, such as area of occupancy (AOO), are sensitive to measurement scale, prompting proposals to measure them at finer scales or at different scales based on the shape of the distribution or ecological characteristics of the biota. Despite its dominant role in red‐list assessments for decades, appropriate spatial scales of AOO for predicting risks of species’ extinction or ecosystem collapse remain untested and contentious. There are no quantitative evaluations of the scale‐sensitivity of AOO as a predictor of risks, the relationship between optimal AOO scale and threat scale, or the effect of grid uncertainty. We used stochastic simulation models to explore risks to ecosystems and species with clustered, dispersed, and linear distribution patterns subject to regimes of threat events with different frequency and spatial extent. Area of occupancy was an accurate predictor of risk (0.81<|r|<0.98) and performed optimally when measured with grid cells 0.1–1.0 times the largest plausible area threatened by an event. Contrary to previous assertions, estimates of AOO at these relatively coarse scales were better predictors of risk than finer‐scale estimates of AOO (e.g., when measurement cells are <1% of the area of the largest threat). The optimal scale depended on the spatial scales of threats more than the shape or size of biotic distributions. Although we found appreciable potential for grid‐measurement errors, current IUCN guidelines for estimating AOO neutralize geometric uncertainty and incorporate effective scaling procedures for assessing risks posed by landscape‐scale threats to species and ecosystems.     

Efficacy of extracting indices from large‐scale acoustic recordings to monitor biodiversity

Passive acoustic monitoring could be a powerful way to assess biodiversity across large spatial and temporal scales. However, extracting meaningful information from recordings can be prohibitively time consuming. Acoustic indices (i.e., a mathematical summary of acoustic energy) offer a relatively rapid method for processing acoustic data and are increasingly used to characterize biological communities. We examined the relationship between acoustic indices and the diversity and abundance of biological sounds in recordings. We reviewed the acoustic‐index literature and found that over 60 indices have been applied to a range of objectives with varying success. We used 36 of the most indicative indices to develop a predictive model of the diversity of animal sounds in recordings. Acoustic data were collected at 43 sites in temperate terrestrial and tropical marine habitats across the continental United States. For terrestrial recordings, random‐forest models with a suite of acoustic indices as covariates predicted Shannon diversity, richness, and total number of biological sounds with high accuracy (R² ≥ 0.94, mean squared error [MSE] ≤170.2). Among the indices assessed, roughness, acoustic activity, and acoustic richness contributed most to the predictive ability of models. Performance of index models was negatively affected by insect, weather, and anthropogenic sounds. For marine recordings, random‐forest models poorly predicted Shannon diversity, richness, and total number of biological sounds (R² ≤ 0.40, MSE ≥ 195). Our results suggest that using a combination of relevant acoustic indices in a flexible model can accurately predict the diversity of biological sounds in temperate terrestrial acoustic recordings. Thus, acoustic approaches could be an important contribution to biodiversity monitoring in some habitats.     

Perceived barriers to and drivers of community participation in protected‐area governance

Protected areas (PAs) are a frequently used conservation strategy, yet their socioeconomic impacts on local communities remain contentious. A shift toward increased participation by local communities in PA governance seeks to deliver benefits for human well‐being and biodiversity. Although participation is considered critical to the success of PAs, few researchers have investigated individuals’ decisions to participate and what this means for how local people experience the costs and benefits of conservation. We explored who participates in PA governance associations and why; the perceived benefits and costs to participation; and how costs and benefits are distributed within and between communities. Methods included 3 focus groups, 37 interviews, and 217 questionnaire surveys conducted in 3 communities and other stakeholders (e.g., employees of a nongovernmental organization and government officials) in PA governance in Madagascar. Our study design was grounded in the theory of planned behavior (TPB), the most commonly applied behavior model in social psychology. Participation in PA governance was limited by miscommunication and lack of knowledge about who could get involved and how. Respondents perceived limited benefits and high costs and uneven distribution of these within and between communities. Men, poorer households, and people in remote villages reported the highest costs. Our findings illustrate challenges related to comanagement of PAs: understanding the heterogeneous nature of communities; ensuring all households are represented in governance participation; understanding differences in the meaning of forest protection; and targeting interventions to reach households most in need to avoid elite capture.     

Effects of age and sex ratios on offspring recruitment rates in translocated black rhinoceros

Success of animal translocations depends on improving postrelease demographic rates toward establishment and subsequent growth of released populations. Short‐term metrics for evaluating translocation success and its drivers, like postrelease survival and fecundity, are unlikely to represent longer‐term outcomes. We used information theory to investigate 25 years of data on black rhinoceros (Diceros bicornis) translocations. We used the offspring recruitment rate (ORR) of translocated females—a metric integrating survival, fecundity, and offspring recruitment at sexual maturity—to detect determinants of success. Our unambiguously best model (AICω = 0.986) predicted that ORR increases with female age at release as a function of lower postrelease adult rhinoceros sex ratio (males:females). Delay of first postrelease reproduction and failure of some females to recruit any calves to sexual maturity most influenced the pattern of ORRs, and the leading causes of recruitment failure were postrelease female death (23% of all females) and failure to calve (24% of surviving females). We recommend translocating older females (≥6 years old) because they do not exhibit the reproductive delay and low ORRs of juveniles (<4 years old) or the higher rates of recruitment failure of juveniles and young adults (4–5.9 years old). Where translocation of juveniles is necessary, they should be released into female‐biased populations, where they have higher ORRs. Our study offers the unique advantage of a long‐term analysis across a large number of replicate populations—a science‐by‐management experiment as a proxy for a manipulative experiment, and a rare opportunity, particularly for a large, critically endangered taxon such as the black rhinoceros. Our findings differ from previous recommendations, reinforce the importance of long‐term data sets and comprehensive metrics of translocation success, and suggest attention be shifted from ecological to social constraints on population growth and species recovery, particularly when translocating species with polygynous breeding systems.