长期定位施肥田土壤酶活性的动态变化特征

为探讨长期施肥条件下玉米生育期内土壤酶活性的动态变化及其与土壤肥力的关系,该文对北京褐潮土定位试验田第12年的土壤酶以及土壤养分因子进行了测定和分析.结果表明.土壤过氧化氢酶、磷酸酶在玉米拔节期出现活性高峰.土壤脲酶在玉米拔节期及成熟期出现两个活性高峰,土壤蔗糖酶在整个玉米生育期内活性变化幅度较小.长期施肥能明显提高土壤中蔗糖酶、脲酶、磷酸酶活性,其中有机肥与化肥配施对于增加土壤中蔗糖酶、脲酶、磷酸酶活性尤为显著.长期施肥降低土壤中过氧化氢酶活性.并且以NPK配施有机肥处理的土壤过氧化氢酶活性降低幅度最大.土壤酶之问及其与土壤养分因子之间具有明显相关性,其中蔗糖酶、脲酶及磷酸酶与土壤养分各因子均呈显著或极显著正相关,除碱解氮外,过氧化氢酶与其余各养分因子呈显著或极显著负相关.     

酵母双杂交技术构建重组人雌激素受体基因酵母

应用酵母双杂交技术构建重组人雌激素受体基因酵母,用以检测类/抗雌激素化合物和环境样品的类/抗雌激素活性.采用多聚酶链反应(PCR)法扩增人雌激素受体(hER)基因,构建诱饵质粒pGBKT7-ER LBD;分别提取并纯化两种含有ER共激活因子基因的靶质粒pGAD424-GRIP1和pGAD424-SRC1;诱饵质粒和靶质粒同时转染酵母细胞Y187,于营养缺陷型培养基(SD/-Trp/-Leu)上筛选阳性菌落,分别构建两种ER双杂交酵母ER+GRIP1和ER+SRC1.考察双杂交酵母与不同激素:17β-雌二醇(E2)、二氢睾酮(DHT)、孕酮(PG)以及三碘甲状腺原氨酸(T3)的结合情况,并考察了雌激素受体拮抗剂4-羟基他莫昔芬(4-OHT)与酵母的相互作用.结果表明:ER+GRIP1和ER+SRC1酵母均能够专一性的和E2结合,并存在显著的剂量-效应关系,E2对ER+GRIP1和ER+SRC1酵母β-半乳糖苷酶活性诱导的EC50值分别为7.3×10-11mol·L-1和1.5×10-10mol·L-1,其中ER+GRIP1酵母细胞诱导产生的酶活性值明显高于ER+SRC1酵母细胞.4-OHT能够抑制E2诱导ER+GRIP1酵母细胞产生的酶活性,并存在显著的剂量-效应关系,IC50值为1.0×10-7mol·L-1.表明重组人雌激素受体基因酵母可以用于检测化合物和环境样品的类/抗雌激素活性.     

人工湿地基质中酶活性和细菌生理群的时空动态特征

对复合垂直流人工湿地基质中6种酶酶活性和5种细菌生理类群数量进行了测定.结果表明各种酶酶活性在不同月份存在显著差异(p<0.05):纤维素酶、蛋白酶和磷酸酶在6月、9月和12月时都表现出较高的酶活性,并且都显著地高于3月的酶活性;β-葡萄糖苷酶在6月时酶活性显著地高于其它月;而脲酶活性在9月和12月时极显著地高于3月和6月(p<0.01);脱氢酶酶活性在6月和12月时明显高于3月和9月.相比较而言,6种酶酶活性的空间特征较为一致,下行流池酶活性显著高于上行流池活性(p<0.05),并且随着基质层深度的增加,酶活性亦相对递减.细菌生理类群数量在6月和9月达到高峰,并且所反映出来的空间规律与酶活性有一致性.     

东海泥质区表层沉积物中有机氯农药的分布

以GC/ECD内标法定量测定了东海近岸泥质区、远岸济州岛西南泥质区和冲绳海槽共19个表层沉积物样中21种有机氯农药的含量.结果表明,有机氯农药在所有样品中均有检出,东海泥质区已有人类污染物的明显记录.研究区平均总有机氯农药分布特征为沿岸泥质区南部>沿岸泥质区北部>冲绳海槽>济州岛西南泥质区.冲绳海槽中HCHs含量高且其分布特征显著区别于陆架泥质区,显示该区域这一污染物源可能与陆架区有所不同.(DDD+DDE)/DDT比值显示东海泥质区DDT类农药的污染物还比较新.与国内其他地区沉积物中有机氯农药含量相比,东海泥质区有机氯农药污染属较低水平.     

曝气生物滤池的生物膜及其微生物种群特征

研究了曝气生物滤池处理模拟生活污水稳态运行时反应器内生物膜的形态特征、生物量和微生物的活性变化特征,分析了生物膜及微生物种群的空间变化规律.结果表明,曝气生物滤池的生物膜形态、颜色和厚度具有沿水流方向渐变的特点,而生物膜密度则在垂直方向上分布不均匀,靠近载体表面部分空隙较大;生物量沿水流方向出现逐步递减的趋势,生物膜活性变化呈现明显的倒“V”型特点;微生物种群组成多样,食物链长且相互交叉,系统营养结构复杂,高端营养级微生物种群所占比例较高,底物利用范围大,沿水流方向可形成不同代谢类型微生物的优势群落.     

一体化A/O生物膜反应器脱氮特性研究

根据传统好氧硝化和缺氧反硝化生物脱氮的工艺原理,设计并制作了一体化 A/O生物膜反应器,并就其对模拟生活污水的脱碳、脱氮处理效果进行了试验。结果表明,该一体化反应器在水力停留时间 HRT=24h时,COD的去除率达到 97%以上,硝化率和 TN的去除率分别达到92%和82%。出水NO3-N和NO2-N浓度保持在7.4mg/L和0.2mg/L左右。对各区污泥进行的硝化活性试验结果表明,该一体化反应器的缺氧区内存活有一定数量的具有硝化活性的细菌。     

Efficient and equitable design of marine protected areas in Fiji through inclusion of stakeholder‐specific objectives in conservation planning

The efficacy of protected areas varies, partly because socioeconomic factors are not sufficiently considered in planning and management. Although integrating socioeconomic factors into systematic conservation planning is increasingly advocated, research is needed to progress from recognition of these factors to incorporating them effectively in spatial prioritization of protected areas. We evaluated 2 key aspects of incorporating socioeconomic factors into spatial prioritization: treatment of socioeconomic factors as costs or objectives and treatment of stakeholders as a single group or multiple groups. Using as a case study the design of a system of no‐take marine protected areas (MPAs) in Kubulau, Fiji, we assessed how these aspects affected the configuration of no‐take MPAs in terms of trade‐offs between biodiversity objectives, fisheries objectives, and equity in catch losses among fisher stakeholder groups. The achievement of fisheries objectives and equity tended to trade‐off concavely with increasing biodiversity objectives, indicating that it is possible to achieve low to mid‐range biodiversity objectives with relatively small losses to fisheries and equity. Importantly, the extent of trade‐offs depended on the method used to incorporate socioeconomic data and was least severe when objectives were set for each fisher stakeholder group explicitly. We found that using different methods to incorporate socioeconomic factors that require similar data and expertise can result in plans with very different impacts on local stakeholders.     

Building robust conservation plans

Systematic conservation planning optimizes trade‐offs between biodiversity conservation and human activities by accounting for socioeconomic costs while aiming to achieve prescribed conservation objectives. However, the most cost‐efficient conservation plan can be very dissimilar to any other plan achieving the set of conservation objectives. This is problematic under conditions of implementation uncertainty (e.g., if all or part of the plan becomes unattainable). We determined through simulations of parallel implementation of conservation plans and habitat loss the conditions under which optimal plans have limited chances of implementation and where implementation attempts would fail to meet objectives. We then devised a new, flexible method for identifying conservation priorities and scheduling conservation actions. This method entails generating a number of alternative plans, calculating the similarity in site composition among all plans, and selecting the plan with the highest density of neighboring plans in similarity space. We compared our method with the classic method that maximizes cost efficiency with synthetic and real data sets. When implementation was uncertain—a common reality—our method provided higher likelihood of achieving conservation targets. We found that χ, a measure of the shortfall in objectives achieved by a conservation plan if the plan could not be implemented entirely, was the main factor determining the relative performance of a flexibility enhanced approach to conservation prioritization. Our findings should help planning authorities prioritize conservation efforts in the face of uncertainty about future condition and availability of sites.     

Spatial patterns of carbon,biodiversity, deforestation threat,and REDD+ projects in Indonesia

There are concerns that Reduced Emissions from Deforestation and forest Degradation (REDD+) may fail to deliver potential biodiversity cobenefits if it is focused on high carbon areas. We explored the spatial overlaps between carbon stocks, biodiversity, projected deforestation threats, and the location of REDD+ projects in Indonesia, a tropical country at the forefront of REDD+ development. For biodiversity, we assembled data on the distribution of terrestrial vertebrates (ranges of amphibians, mammals, birds, reptiles) and plants (species distribution models for 8 families). We then investigated congruence between different measures of biodiversity richness and carbon stocks at the national and subnational scales. Finally, we mapped active REDD+ projects and investigated the carbon density and potential biodiversity richness and modeled deforestation pressures within these forests relative to protected areas and unprotected forests. There was little internal overlap among the different hotspots (richest 10% of cells) of species richness. There was also no consistent spatial congruence between carbon stocks and the biodiversity measures: a weak negative correlation at the national scale masked highly variable and nonlinear relationships island by island. Current REDD+ projects were preferentially located in areas with higher total species richness and threatened species richness but lower carbon densities than protected areas and unprotected forests. Although a quarter of the total area of these REDD+ projects is under relatively high deforestation pressure, the majority of the REDD+ area is not. In Indonesia at least, first‐generation REDD+ projects are located where they are likely to deliver biodiversity benefits. However, if REDD+ is to deliver additional gains for climate and biodiversity, projects will need to focus on forests with the highest threat to deforestation, which will have cost implications for future REDD+ implementation.     

Development of statistical models for predicting muscle and mental activities during repetitive precision tasks

This study was conducted to develop muscle and mental activities on repetitive precision tasks. A laboratory experiment was used to address the objectives. Surface electromyography was used to measure muscle activities from eight upper limb muscles, while electroencephalography recorded mental activities from six channels. Fourteen university students participated in the study. The results show that muscle and mental activities increase for all tasks, indicating the occurrence of muscle and mental fatigue. A linear relationship between muscle activity, mental activity and time was found while subjects were performing the task. Thus, models were developed using those variables. The models were found valid after validation using other students’ and workers’ data. Findings from this study can contribute as a reference for future studies investigating muscle and mental activity and can be applied in industry as guidelines to manage muscle and mental fatigue, especially to manage job schedules and rotation.