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.     

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.     

Fast and efficient aqueous arsenic removal by functionalized MIL-100(Fe)/rGO/δ-MnO2 ternary composites: Adsorption performance and mechanism

Because of its significant toxicological effects on the environment and human health,arsenic(As) is a major global issue.In this study,an Fe-based metal-organic framework(MOF)(Materials of Institut Lavoisier:MIL-100(Fe)) which was impregnated with reduced graphene oxide(rGO) by using a simple hydrothermal method and coated with birnessitetype manganese oxide(δ-MnO_2) using the one-pot reaction process(MIL-100(Fe)/rGO/δ-MnO_2 nanocomposites) was synthesized and applied successfully in As removal.The removal efficiency was rapid,the equilibrium was achieved in 40 min and 120 min for As(Ⅲ) and As(Ⅴ),respectively,at a level of 5 mg/L.The maximum adsorption capacities of As(Ⅲ) and As(Ⅴ) at pH 2 were 192.67 mg/g and 162.07 mg/g,respectively.The adsorbent revealed high stability in pH range 2-9 and saturated adsorbent can be fully regenerated at least five runs.The adsorption process can be described by the pseudo-second-order kinetic model and Langmuir monolayer adsorption.The adsorption mechanisms consisted of electrostatic interaction,oxidation and inner sphere surface complexation.     

Adsorptive property of Cu^2＋-loaded montmorillonite clays for Escherichia coli K_（88） in vitro

The Cu²⁺-loaded montmorillonite clays (MMT-Cu) may be a good material for the adsorbed and eliminated pathogenic bacteria from aqueous solution.     

纳米Fe掺杂MIL-101(Cr)及其吸附放射性碘研究

目的改进并提高MIL-101(Cr)吸附气态碘单质的性能,以期用于核事故放射性碘富集吸收。方法通过水热法制备MIL-101(Cr)材料,并利用纳米Fe掺杂改性,运用SEM、XRD等对掺杂前后的材料进行表征。将材料在75℃条件下对气态碘单质进行吸附,并比较不同Fe掺杂量下材料对气态碘吸附性能的差异。结果纳米Fe成功掺杂于基体材料MIL-101中,并对基体材料晶体结构无破坏作用。吸附性能研究表明,掺杂纳米Fe质量分数为1%的Fe@MIL-101吸附性能最优,对气态碘的饱和吸附量可达3.42 g(I2)/g(MIL-101)。结论纳米Fe掺杂改性的MIL-101材料在高温条件下对气态碘单质具有良好的吸附效果,有望应用于核反应堆事故中对放射性碘的富集或捕集。     

Carbon nanotubes-incorporated MIL-88B-Fe as highly efficient Fenton-like catalyst for degradation of organic pollutants

CNTs were incorporated into MIL-88B-Fe to get a new Fenton-like catalyst (C@M). Fe(II) was introduced in C@M to get a fast initiation of Fenton-like reaction. Fe(II) content in C@M was related with oxygen-containing functional groups on CNTs. C@M shows efficient catalytic degradation of pollutants over a wide pH range. Iron-based metal organic frameworks have been verified to be efficient heterogeneous Fenton catalysts due to their open pore channels and highly uniform distribution of metallic centers. In these catalysts, however, the iron element is mainly in the form of Fe(III), which results in a process required to reduce Fe(III) to Fe(II) to initiate Fenton reaction. To address this problem, carbon nanotubes (CNTs) with electron-rich oxygen-functional groups on the surface were incorporated into the metal organic frameworks (MIL-88B-Fe) to improve Fe(II) content for an enhanced Fenton-like performance. The prepared CNT@MIL-88B-Fe (C@M) showed much stronger catalytic ability toward H₂O₂ than MIL-88B-Fe. The pseudo-first-order kinetic constant for phenol degradation by C@M (0.32 min^–1) was about 7 times that of MIL-88B-Fe, and even higher than or comparable to the values of reported heterogeneous Fenton-like catalysts. Moreover, the Fenton-like system could effectively degrade various kinds of refractory organic pollutants and exhibited excellent catalytic activity over a wide pH range (4–9). XPS analysis confirmed that Fe(II) content of the catalyst gradually increased with CNT loadings. Electron spin resonance analysis showed that the signal intensity (•OH) of C@M was much higher than MIL-88B-Fe, which was consistent with the degradation efficiency of pollutants. Furthermore, the Fe(II) content of the catalyst gradually increased along with the oxygen-functional group content of CNTs. The result demonstrated that oxygen-containing functional groups of CNTs have a significant impact on the enhanced catalytic performance of C@M. This study provides a new insight to enhance Fenton reaction by using nanocarbon materials.     

MIL-101高效吸附测定土壤气中三氯乙烯及健康风险评估

为研究基于实测土壤气中ρ（三氯乙烯）计算风险值与Johnson-Ettinger联合Dual-Equilibrium Desorption（JE-DED）模型和J&E模型计算风险值的差异,在MIL-101、UIO-66、ZIF-8和MOF-801金属-有机骨架（MOFs）材料,球形活性炭、膨胀石墨碳吸附材料及HiSiv1000和HiSiv3000分子筛等3类8种吸附剂中筛选出吸附效率较高的MIL-101 MOF材料用以吸附并测定土壤气中ρ（三氯乙烯）,并将基于实测土壤气中ρ（三氯乙烯）计算的风险值与J&E模型和JE-DED模型计算的风险值进行比较.结果表明:①对于北京潮土和黑龙江黑土,J&E模型计算的风险值比基于实测土壤气中ρ（三氯乙烯）计算的风险值高2个数量级.②对于w（有机碳）较低的北京潮土,基于JE-DED模型计算的风险值比基于实测土壤气中ρ（三氯乙烯）计算的风险值高1个数量级,但比基于J&E模型计算的风险值低1个数量级,表明JE-DED模型预测结果更接近实际情况,但仍偏保守.③w（有机碳）较高的黑龙江黑土,JE-DED模型计算的风险值与基于实测土壤气中ρ（三氯乙烯）计算的风险值更接近,JE-DED模型可以比较准确地预测三氯乙烯的风险值.研究显示,采用土壤气中ρ（三氯乙烯）实测值和JE-DED模型进行风险评价在一定程度上可以避免J&E计算过于保守的问题,可以更加真实客观地反映场地污染程度而避免过度修复产生资源浪费.      

载铜蒙脱石对大肠杆菌K88吸附性能的研究

以蒙脱石(MMT)和硫酸铜为主要原料,制备了载铜蒙脱石(MMT-Cu),并对MMT-Cu吸附大肠杆菌K88的能力进行比较研究.结果表明:MMT和MMT-Cu对大肠杆菌K88均有较强的吸附作用,但载铜后蒙脱石吸附大肠杆菌的能力明显增强.细菌与吸附材料作用90min后可达到吸附平衡.介质pH值、离子强度和吸附温度对MMT和MMT-Cu吸附细菌的能力均有不同程度的影响.     

新型MIL-100(Fe)基MOFs材料的制备及其对Sr2+的吸附

采用水热法和溶剂热法制备了金属有机骨架材料——MIL-100(Fe)和MIL-100(Fe)-DMA.利用FTIR、XRD、SEM、XPS和N₂吸附/脱附对材料结构进行了表征.通过静态吸附实验,探究了初始Sr²⁺浓度、吸附时间、溶液pH值和不同共存阳离子对材料吸附性能的影响,研究了两种材料对Sr²⁺吸附过程的吸附动力学和吸附等温线模型.表征结果表明:两种材料基本骨架一致,吸附Sr²⁺对材料骨架影响均可忽略;虽然MIL-100(Fe)-DMA比表面积小于MIL-100(Fe),但由于晶粒尺寸小,堆积形成的介孔结构更有利于Sr²⁺的扩散.吸附实验结果表明:随着反应时间和初始Sr²⁺浓度的增加,两种材料对Sr²⁺的吸附量先迅速增大再逐渐达到平衡;随着pH值的增大,两种材料对Sr²⁺的吸附量增大,且碱性条件下吸附效果好;两种材料吸附过程均符合准二级动力学模型、颗粒内扩散模型和Langmuir吸附等温模型;采用三价铁盐作为铁源以及DMA作为有机溶剂可提高MIL-100(Fe)材料对Sr²⁺的吸附效果.     

Predicting land cover using GIS, Bayesian and evolutionary algorithm methods

Modelling land cover change from existing land cover maps is a vital requirement for anyone wishing to understand how the landscape may change in the future. In order to test any land cover change model, existing data must be used. However, often it is not known which data should be applied to the problem, or whether relationships exist within and between complex datasets. Here we have developed and tested a model that applied evolutionary processes to Bayesian networks. The model was developed and tested on a dataset containing land cover information and environmental data, in order to show that decisions about which datasets should be used could be made automatically. Bayesian networks are amenable to evolutionary methods as they can be easily described using a binary string to which crossover and mutation operations can be applied. The method, developed to allow comparison with standard Bayesian network development software, was proved capable of carrying out a rapid and effective search of the space of possible networks in order to find an optimal or near-optimal solution for the selection of datasets that have causal links with one another. Comparison of land cover mapping in the North-East of Scotland was made with a commercial Bayesian software package, with the evolutionary method being shown to provide greater flexibility in its ability to adapt to incorporate/utilise available evidence/knowledge and develop effective and accurate network structures, at the cost of requiring additional computer programming skills. The dataset used to develop the models included GIS-based data taken from the Land Cover for Scotland 1988 (LCS88), Land Capability for Forestry (LCF), Land Capability for Agriculture (LCA), the soil map of Scotland and additional climatic variables.