A climate-change vulnerability and adaptation assessment for Brazil's protected areas

Brazil hosts the largest expanse of tropical ecosystems within protected areas (PAs), which shelter biodiversity and support traditional human populations. We assessed the vulnerability to climate change of 993 terrestrial and coastal-marine Brazilian PAs by combining indicators of climatic-change hazard with indicators of PA resilience (size, native vegetation cover, and probability of climate-driven vegetation transition). This combination of indicators allows the identification of broad climate-change adaptation pathways. Seventeen PAs (20,611 km²) were highly vulnerable and located mainly in the Atlantic Forest (7 PAs), Cerrado (6), and the Amazon (4). Two hundred fifty-eight PAs (756,569 km²), located primarily in Amazonia, had a medium vulnerability. In the Amazon and western Cerrado, the projected severe climatic change and probability of climate-driven vegetation transition drove vulnerability up, despite the generally good conservation status of PAs. Over 80% of PAs of high or moderate vulnerability are managed by indigenous populations. Hence, besides the potential risks to biodiversity, the traditional knowledge and livelihoods of the people inhabiting these PAs may be threatened. In at least 870 PAs, primarily in the Atlantic Forest and Amazon, adaptation could happen with little or no intervention due to low climate-change hazard, high resilience status, or both. At least 20 PAs in the Atlantic Forest, Cerrado, and Amazonia should be targeted for stronger interventions (e.g., improvement of ecological connectivity), given their low resilience status. Despite being a first attempt to link vulnerability and adaptation in Brazilian PAs, we suggest that some of the PAs identified as highly or moderately vulnerable should be prioritized for testing potential adaptation strategies in the near future.     

Using culturomics and social media data to characterize wildlife consumption

Wildlife provides food, medicine, clothing, and other necessities for humans, but overexploitation can disrupt the sustainability of wildlife resources and severely threaten global biodiversity. Understanding the characteristics of consumer behavior is helpful for wildlife managers and policy makers, but the traditional survey methods are laborious and time-consuming. In contrast, culturomics may more efficiently identify the features of wildlife consumption. As a case study of the culturomics approach, we examined tiger bone wine consumption in China based on social media and Baidu search engine data. Tiger bone wine is one of the most purchased tiger products; its consumption is closely related to tiger poaching, which greatly threatens wild tiger survival. We searched a popular social media website for the term “tiger bone wine” and focused on posts that were originally created from 1 January 2012 to 31 December 2018. We filtered and classified posts related to the purchase, sale, or consumption of tiger bone wine and extracted information on providers, consumption motivations, year of production, and place of origin of the tiger bone wines based on the texts and photos of these posts. We found 756 posts related to tiger bone wine consumption, 113 of which mentioned providers of tiger bone wine, including friends (53%), elder relatives (37%), peer relatives (7%), and others (3%). Out of the 756 posts, 266 indicated the motivations of tiger bone wine consumption. Tiger bone wines were consumed as a tonic (34%), medicine (23%), game product (30%), and a symbol of wealth (28%). Some posts indicated ≥2 consumption motivations. These findings were consistent with the search queries from Baidu index. Such information could help develop targeted strategies for tiger conservation. The culturomics approach illustrated by our study is a rapid and cost-efficient way to characterize wildlife consumption.     

铁铜双金属有机骨架MIL-101(Fe,Cu)活化双氧水降解染料性能

针对非均相芬顿传质效率低和Fe（Ⅲ）Fe（Ⅱ）转化慢导致活性低等问题,采用溶剂热法制备铁铜双金属有机骨架材料[MIL-101（Fe,Cu）],并研究了材料界面性质、催化降解染料（亚甲基蓝）性能以及活化催化机制.结果表明,MIL-101（Fe,Cu）晶体结构完整且呈三维八面体形状;比表面积和平均孔径分别为667.2 m² ·g^-1和1.9 nm,可充分暴露反应活性位点.MIL-101（Fe,Cu）在广谱pH范围可活化H₂ O₂高效降解亚甲基蓝.当pH=5、反应20 min,MIL-101（Fe,Cu）/H₂ O₂对20 mg ·L^-1亚甲基蓝的去除率为100%,较MIL-101（Fe）/H₂O₂和单独H₂ O₂分别提高43.1%和88.9%.自由基猝灭实验与反应前后铁和铜价态变化结果表明,羟基自由基（·OH）是MIL-101（Fe,Cu）/H₂ O₂催化降解亚甲基蓝的主要活性物种;Cu（Ⅱ）掺杂引入新的活性位点,且Cu（Ⅱ）/Cu（Ⅰ）循环和Fe（Ⅲ）/Fe（Ⅱ）循环可协同产生·OH,进而提高催化效率.MIL-101（Fe,Cu）作为新型非均相类芬顿催化剂,无需复杂pH调节即可获得良好催化效果,在工业废水处理上具有较好地应用前景.     

外源8''-炔基脱落酸强化东南景天吸收重金属的研究

为探究脱落酸类似物8''-炔基脱落酸[8''-（C₂H）ABA]强化东南景天富集重金属的效应,通过水培的方法研究了外源8''-（C₂H）ABA分别对Cd（20 mg·L^-1）、Zn（160 mg·L^-1）单一胁迫下东南景天Cd/Zn积累和生理特性的影响,以及初步探讨了8''-（C₂H）ABA在植物重金属胁迫响应中的作用.实验结果表明：与天然ABA相比,外源8''-（C₂H）ABA能达到与ABA类似的作用效果,且对Cd胁迫下东南景天促进效果好于Zn;在Cd胁迫下,与对照相比,外源8''-（C₂H）ABA能显著增加东南景天根、叶中的Cd含量（44.2%、27.5%）,以及光合色素（10.7%）和叶中过氧化物酶（SOD）活性（52.9%）、超氧化物歧化酶（POD）（24.7%）和过氧化氢酶（CAT）活性（27.9%）抗氧化酶活性,使可溶性糖（SS）（13%）和游离脯氨酸（Pro）（37.4%）含量增加,而叶中丙二醛（MDA）（40%）含量明显降低.上述结果表明,一定浓度的8''-（C₂H）ABA可以提高东南景天抗氧化酶活性来增强其对重金属Cd的抗性及吸收和转运能力,在强化东南景天修复重金属污染方面具有应用潜力.     

核壳结构KNbO3@Co(OH)2的制备及其活化过一硫酸盐降解帕珠沙星的研究

制备了以KNbO₃为载体材料的Co（OH）₂复合材料并对其进行了详细的表征,分析了材料的组成成分、组成形态进而确定了其为核壳结构形貌的KNbO₃@Co（OH）₂.利用合成的样品作为催化剂活化过一硫酸盐（peroxymonosulfate,PMS）来降解帕珠沙星（pazufloxacin,PZF）,结果表明制备的催化剂对PZF的去除效率显著增加.讨论了不同初始PMS剂量对降解效率的影响,发现随着PMS增加可活化生成更多的硫酸根自由基（sulfate radicals,SO₄^·-）和羟基自由基（hydroxyl radicals,HO^·）来降解PZF,但继续增大PMS用量降解效率未见明显提升.酸性和中性pH值条件下利于反应活化PMS降解PZF,而碱性体系减缓反应,甚至强碱体系更易形成Co（OH）₂沉淀不利于反应体系中活性组分CoOH⁺的形成,大大抑制了催化性能.此外,在体系中加入淬灭剂叔丁醇（tert-Butanol,TBA）或者乙醇（ethanol,ETOH）进行自由基的淬灭实验,结果表明SO₄^·-自由基为体系降解PZF过程中主要贡献的自由基,而HO^·自由基的贡献较少.催化剂具有较好的稳定性5次循环之后仍能在10 min之内完全去除PZF.本研究提出了新的思路为制备其他载体的Co（OH）₂核壳结构提供参考依据,同时将该催化剂结合高级氧化技术应用到水体新兴有机污染物净化领域具有很好的应用前景.     

氧基氯化铁非均相活化过一硫酸盐降解金橙Ⅱ

采用部分热分解法制备了氧基氯化铁（FeOCl）,用于活化过一硫酸盐（PMS）降解难降解偶氮染料金橙Ⅱ（AO7）.利用X射线光电子能谱分析（XPS）、扫描电镜（SEM）和X射线衍射光谱（XRD）对其进行了表征;通过实验评估FeOCl/PMS体系对AO7的降解效果并分析了影响AO7去除率的各种因素.结果表明：FeOCl活化PMS降解AO7效果良好,矿化率达44%.在中性条件下,当FeOCl投加量50mg/L、PMS浓度1.0mmol/L、AO7浓度0.05mmol/L时,AO7可在30min内完全降解.随PMS投加量、FeOCl投加量、Cl^-浓度和反应初始pH值的增大,AO7的脱色效果提高.FeOCl还具有良好的重复利用性.此外,通过自由基淬灭实验、EPR测试和XPS分析了反应的主要活性物种和反应机理：由PMS活化产生的SO₄^-·和·OH对污染物进行降解,其中主要活性物种为SO₄^-·.     

利用HYSPLIT模型研究珠三角地区VOCs时空分布特征

于2016年在中国广东大气超级监测站,开展4个季节的VOCs长时间观测,共获得2142组有效数据,并利用HYSPLIT模型分析珠三角地区VOCs时空分布特征.结果表明,各类VOCs混合比和化学反应活性具有明显的季节变化特点.观测期间,VOCs平均浓度为（18.523±20.978）×10^-9,其中,低碳烯烃和苯系物二者混合比之和仅占46%,但贡献了85%的·OH消耗速率（L_OH）、82%的臭氧生成潜势（OFP）和97%的二次气溶胶生成潜势（SOAFP）.观测站点主要受来自北部内陆地区气团（1#）、西部内陆地区气团（2#）、台湾海峡南端气团（3#）以及南部海洋地区气团（4#）的影响.1#气团中炔烃和苯系物的混合比占比最高,分别达到10%、37%,而3#气团中低碳烷烃的浓度水平最高,达到（8.437±5.561）×10^-9.通过估算气团中VOCs的化学反应活性,可以发现,1#气团的VOCs化学反应活性最强,其对O₃和SOA的生成贡献最高.1#、2#、3#和4#气团中VOCs的化学反应活性主要由苯系物和低碳烯烃贡献.     

西安市文教区表层土壤中PAHs来源及风险分析

文教区土壤环境质量直接影响学生以及职工的身体健康。本研究应用高效液相色谱仪对采集的西安市文教区表层土壤样品中的16种优控多环芳烃(PAHs)进行含量检测,分析其组分特征、来源及健康风险。结果表明,西安市文教区表层土壤中∑PAHs含量为0.290~4.147μg/g,平均值为1.515μg/g,7种致癌多环芳烃的含量为0.079~2.093μg/g,均值为0.593μg/g,土壤PAHs污染较为严重。其中4环的高环PAHs为土壤PAHs污染的主要物质,平均占∑PAHs含量的40.72%。源解析结果表明西安市文教区表层土壤中PAHs主要来源于石油燃烧、煤及生物质等的不完全燃烧。终生癌症风险评价表明西安市文教区表层土壤中PAHs污染对其生活在周围的人群产生的终生致癌风险性较小,但71.4%的样点达到严重污染水平,产生的间接影响应引起足够重视。     

基于亨利定律的水中臭氧浓度检测方法研究

为提高水中臭氧(O_3)浓度检测方法的普适性、准确性和便捷性,提出了一种新的非接触式的水中O_3浓度检测方法。基于亨利定律(Henry’s Law),采用电化学方法,建立空气中O_3浓度与水中O_3浓度的回归方程,从而推导出水中O_3浓度。实验结果显示,水体O_3传感器的检出限为0.02 mg/L,检测上限为0.40 mg/L,可决系数R~2为0.998 9,相对误差最大值为7.05%,相对标准偏差最大值为2.82%。实际样品检测显示,水体O_3检测传感器的检测结果与O_3快速测定试剂盒(DPD法)的检测结果完全吻合。该方法不但综合了智能传感器的小型化、网络化、实时测量等特性,而且结构简单、成本低、响应快,适用于水体中O_3浓度的快速检测。