Understanding implications of consumer behavior for wildlife farming and sustainable wildlife trade

Unsustainable wildlife trade affects biodiversity and the livelihoods of communities dependent upon those resources. Wildlife farming has been proposed to promote sustainable trade, but characterizing markets and understanding consumer behavior remain neglected but essential steps in the design and evaluation of such operations. We used sea turtle trade in the Cayman Islands, where turtles have been farm raised for human consumption for almost 50 years, as a case study to explore consumer preferences toward wild‐sourced (illegal) and farmed (legal) products and potential conservation implications. Combining methods innovatively (including indirect questioning and choice experiments), we conducted a nationwide trade assessment through in‐person interviews from September to December 2014. Households were randomly selected using disproportionate stratified sampling, and responses were weighted based on district population size. We approached 597 individuals, of which 37 (6.2%) refused to participate. Although 30% of households had consumed turtle in the previous 12 months, the purchase and consumption of wild products was rare (e.g., 64–742 resident households consumed wild turtle meat [i.e., 0.3–3.5% of households] but represented a large threat to wild turtles in the area due to their reduced populations). Differences among groups of consumers were marked, as identified through choice experiments, and price and source of product played important roles in their decisions. Despite the long‐term practice of farming turtles, 13.5% of consumers showed a strong preference for wild products, which demonstrates the limitations of wildlife farming as a single tool for sustainable wildlife trade. By using a combination of indirect questioning, choice experiments, and sales data to investigate demand for wildlife products, we obtained insights about consumer behavior that can be used to develop conservation‐demand‐focused initiatives. Lack of data from long‐term social–ecological assessments hinders the evaluation of and learning from wildlife farming. This information is key to understanding under which conditions different interventions (e.g., bans, wildlife farming, social marketing) are likely to succeed.     

基于SHERPA的环境空气质量减排情景模拟评估

分析了SHERPA综合评价模型的基本原理和主要建模理念,重点介绍了其在环境空气质量减排情景模拟评估方面的作用,以及在排放源与受体关系(SRR)方面的处理方法,比较了其与欧盟常用的其他情景模拟模型的优缺点。SHERPA模型的特点是空间灵活性较好,对于任何给定地点,可以快速评估不同地区对该研究地点空气质量的影响。SHERPA模型的3个主要功能为污染物来源分析、决策支持和情景模拟。基于SHERPA模型对法国环境空气中PM_(2.5)、PM_(10)和NO_2年均浓度进行污染来源分析、决策支持分析和减排情景模拟评估,展示了模型在环境治理措施优先级筛选和政府间联合治理措施协调建议方面的功能和作用,以期为中国环境空气质量预测预报、环境质量管理措施的制定和成效评估等环境服务与管理工作提供借鉴。     

Dandy – Walker syndrome and corpus callosum agenesis in 5p deletion

5p deletion syndrome commonly known as cri du chat is well described in affected neonates with catlike cry and hypotonia. Karyotyping will usually show a deletion of the short arm of one chromosome 5 with variable breakpoints. Only a few cases have been reported prenatally, and the fetal form of the syndrome has not been clearly individualised. We report a new case of 5p deletion syndrome diagnosed prenatally in association with Dandy–Walker syndrome and agenesis of the corpus callosum. Other brain anomalies have been reported previously, but this unusual association suggests the use of a specific probe in the investigation of these malformations. Copyright © 2005 John Wiley & Sons, Ltd.     

北部湾南流江流域土地覆盖及生物多样性模拟

以北部湾独流入海河流南流江流域为研究对象,基于研究区2000年和2015年遥感数据解译的土地利用数据以及社会经济等数据,采用CLUE-S模型对未来2030年生态保护情景、自然增长情景以及粮食安全情景的土地利用格局进行了模拟预测,在此基础上采用InVEST模型对流域过去和未来不同情景的生物多样性进行了评估,探讨了流域生物多样性的生境质量和生境退化程度.结果表明：2000~2015年南流江流域建设用地、园地、水域和未利用地呈现出增加趋势,其中建设用地的增幅最大,而耕地和林地减幅最大.流域土地系统中共存在着34种土地网络转移流关系,上游存在24种,中游20种,下游28种,耕地与建设用地、耕地与林地以及林地与园地之间的转换占到流域总土地利用变化的70.74%.CLUE-S模型模拟未来土地利用的Kappa系数达到0.86,表明模型模拟未来情景的土地利用精度满足要求.2000年、2015年、2030年生态保护情景、2030年自然增长情景以及2030年粮食安全情景流域生境质量总得分和平均得分分别为866630,900357,921055,876231,865370和0.7457,0.7747,0.7925,0.7539,0.7466.2030年3种情景的中上游和下游地区生物多样性都呈现出不同程度的改善趋势,而中游地区则表现出退化趋势.     

Synergistic effects of Cu species and acidity of Cu-ZSM-5 on catalytic performance for selective catalytic oxidation of n-butylamine

In this work, a series of Cu-ZSM-5 catalysts with different SiO₂/Al₂O₃ ratios (25, 50, 100 and 200) were synthesized and investigated in n-butylamine catalytic degradation. The n-butylamine can be completely catalytic degradation at 350°C over all Cu-ZSM-5 catalysts. Moreover, Cu-ZSM-5 (25) exhibited the highest selectivity to N₂, exceeding 90% at 350°C. These samples were investigated in detail by several characterizations to illuminate the dependence of the catalytic performance on redox properties, Cu species, and acidity. The characterization results proved that the redox properties and chemisorption oxygen primarily affect n-butylamine conversion. N₂ selectivity was impacted by the Brønsted acidity and the isolated Cu²⁺ species. Meanwhile, the surface acid sites over Cu-ZSM-5 catalysts could influence the formation of Cu species. Furthermore, in situ diffuse reflectance infrared Fourier transform spectra was adopted to explore the reaction mechanism. The Cu-ZSM-5 catalysts are the most prospective catalysts for nitrogen-containing volatile organic compounds removal, and the results in this study could provide new insights into catalysts design for VOC catalytic oxidation.     

新冠肺炎疫情期间我国居民洗手行为研究

直接接触和飞沫传播等方式是新型冠状病毒传播的主要途径,合理的洗手行为是切断暴露途径和降低病毒感染风险的有效防控措施,对于新型冠状病毒肺炎（COVID-19,简称“新冠肺炎”）疫情的防控具有重要的作用.该研究于2020年2月25日—3月14日,采用电子问卷的方式调查了覆盖我国31个省（自治区、直辖市）1 728个县（区）18岁及以上的居民,收集共计8 330名成人的洗手情形及洗手时长等信息,分析不同暴露情景下的洗手行为及其影响因素.结果表明:女性、城市地区居民在洗手比例和洗手时长上均分别高于男性、农村地区居民.人群在一般暴露情景下的洗手比例较高,而对于病毒感染风险较高的暴露情景（如咳嗽或打喷嚏后、接触他人后等）的洗手率（分别为73.6%和83.9%）排名靠后,说明人群对病毒的传播途径和防护措施有待深入理解;在洗手时间上,根据WHO规定的洗手时长标准（20 s）,仅有41.7%的人群洗手时长合格（大于20 s）,城区居民洗手时长的合格率（42.0%）显著高于农村地区（39.7%）;总体上,具有外出经历的人群洗手比例较未曾外出的人群高,新冠肺炎疫情期间居住地是否存在新冠肺炎疑似和确诊病例显著影响居民的洗手行为,但是疫情最严重的地区居民的洗手时长合格率（37.2%）最低,反而疫情最轻的地区居民的洗手时长合格率（43.6%）最高,说明居民的洗手行为可能受疫情等多方面的影响.研究显示,相比于非疫情期间而言,疫情期间我国居民洗手行为发生率提高,洗手时长合格率提高,但是仍然水平偏低.应提高居民洗手行为意识,科学地执行洗手这一防护措施,相关政策制定以及个人防护应当进一步关注和重视洗手行为的防疫作用.      

厦门市冬季PM2.5污染情境识别及其与气象条件的关系

为研究厦门市冬季不同PM_2.5污染情境与气象条件和气团轨迹路径特征的关系,结合PM_2.5观测数据,使用AGAGE（Advanced Global Atmospheric Gases Experiment）统计方法识别2014—2018年冬季厦门市PM_2.5观测值、基线值和污染值情境,通过气象数据统计和气团后向轨迹聚类对不同PM_2.5污染情境下气象条件和气团轨迹路径特征进行探究.结果表明:①厦门市冬季不同PM_2.5污染情境下,ρ（PM_2.5）及PM_2.5污染值情境时长占比均呈波动中下降的趋势,具体表现为冬季PM_2.5观测值、污染值和基线值情境下,ρ（PM_2.5）平均值分别从2014年的42.2、90.7、16.4 μg/m3降至2018年的26.3、56.9、8.8 μg/m3,冬季PM_2.5污染值情境时长占比从2014年的10.2%降至2018年的3.0%.②冬季PM_2.5污染值情境下气象要素呈低风速、低气压、高温度、高相对湿度的特征.③冬季到达厦门市的气团轨迹路径中,局地路径由于大气条件稳定易累积形成PM_2.5污染;偏北路径和西北路径易从临近省份携带污染物输入导致PM_2.5污染,属于重要的外源污染输入路径;沿海路径和偏西路径均属于清洁路径,但沿海路径易在福建省北部与偏北路径重合形成污染输入,加强了偏北路径的污染物输送能力.研究显示,近年来厦门市冬季PM_2.5污染有明显减弱趋势,但不利的气象条件和外来污染输入仍会造成PM_2.5污染的发生.      

2019年10~12月京津冀及周边“2+26”城市重污染减排效果评估

为评估京津冀及周边区域重污染过程期间应急减排措施的效果,基于情景模拟的方法,采用NAQPMS模式和多种观测资料,分析了2019年10~12月期间京津冀及周边区域环境空气质量、重污染过程和气象条件概况,评估了模式24、72和144 h的PM_2.5预报效果,并对应急减排措施的效果和不确定性进行了讨论.结果表明,2019年10~12月京津冀及周边"2+26"城市PM_2.5平均浓度64 μg ·m^-3,同比降低了10 μg ·m^-3;区域性重污染过程4次,受影响城市重污染过程期间PM_2.5平均浓度156 μg ·m^-3."2+26"城市PM_2.5气象条件评估指数（EMI）变化值范围为-15.6%~16.8%,EMI显示北京、天津和石家庄等12个城市气象条件与同期相比变差,变差程度范围为3.2%~16.8%.减排情景模拟分析显示应急减排措施有效减少了区域性重污染过程的发生,污染物峰值浓度降幅明显,未出现区域性严重污染过程.典型重污染期间,北京、石家庄、保定和唐山等城市PM_2.5日均浓度削减2%~9%.区域应急减排措施促使"2+26"城市PM_2.5季度均值分别降低1~3 μg ·m^-3左右,区域性减排效果明显.     

新型Fe3O4@α-MnO2活化过一硫酸盐降解水中偶氮染料

采用两步水热法制备了新型磁性纳米Fe₃O₄@α-MnO₂复合材料作为催化剂,用于活化过一硫酸盐（PMS）产生强氧化性的硫酸根自由基（SO₄^-·）氧化降解偶氮染料活性黑5（RBK5）.采用透射电子显微镜（TEM）,X射线粉末衍射仪（XRD）和振动样品磁强计（VSM）对制备的催化剂进行表征,证明成功合成了纳米α-MnO₂包覆Fe₃O₄形态的Fe₃O₄@α-MnO₂催化剂,催化剂的饱和磁化强度为39.89emu/g.Fe₃O₄@α-MnO₂催化剂活化PMS与单一的Fe₃O₄和α-MnO₂活化PMS相比,具有更高的催化效率,说明铁锰双金属存在协同作用.同时研究了催化剂的投加量、PMS的浓度和初始pH值等各种因素对RBK5的降解效率以及反应动力学的影响.实验结果表明,Fe₃O₄@α-MnO₂催化剂活化PMS降解RBK5的过程符合准一级反应动力学,在催化剂投加量为1.2g/L,PMS的浓度为4mmol/L,初始pH值为7.0,反应时间为60min的情况下,浓度为30mg/L的RBK5的降解效率可达到91%,此时RBK5的降解速率常数也达到最高值0.023min^-1.此外,通过加入自由基淬灭剂甲醇、叔丁醇和硝基苯判断了Fe₃O₄@α-MnO₂/PMS体系中起主要氧化降解作用的活性物种为SO₄^-·.     

基于高精度清单的京津冀机动车控污政策研究

为研究京津冀机动车污染控制政策对CO、HC、NO_x、PM_2.5、PM₁₀等污染物的减排效果,建立了2014年高精度机动车排放清单,选取过去已经实施,未来规划实施及优化/劣化后的若干政策,设置4类共13种政策情景,与实际清单基准情景进行对比,识别各政策情景的排放变化,并对其中由政府给予补贴的政策进行成本收益核算.结果显示,淘汰低排放标准机动车带来的污染减排效果最好,在天津和河北对CO和HC的排放削减分别为53.19%,49.75%和51.28%,50.87%,达半数及以上;升级机动车发动机和燃油标准也能显著削减排放,在天津和河北对PM_2.5、PM₁₀的削减分别为17.01%,17.00%和21.95%,21.93%.政府补贴政策存在明显边际效应特征,排放标准高,重污染车少的北京单位成本的减排收益明显低于天津和河北,.河北和天津在考虑成本因素的基础上,应当逐步采纳北京的高标准减排政策;北京则可在一定条件下,将一部分低效的政府补贴通过合理方式转移支付给天津和河北,以提高政府投入的减排效率.