Chemical defense and evolutionary trends in biosynthetic capacity among dorid nudibranchs (Mollusca: Gastropoda: Opisthobranchia)

Summary. An evolutionary scenario incorporating recent advances in phylogenetic research begins with an opisthobranch-pulmonate common ancestor that was herbivorous and had some diet-derived chemical defense. The Nudibranchia and their closest relatives, the Notaspidea, form a lineage the ancestors of which had switched to feeding upon sponges and deriving protection from metabolites contained in them. Subsequently there have been repeated shifts in food and defensive metabolites, and trends are evident in the ability to detoxify, sequester and utilize metabolites from food, as well as to synthesize defensive compounds de novo. The Notaspidea display a minor adaptive radiation that foreshadows a more extensive one in the various lineages of nudibranchs. This review emphasizes changes that have occurred within the Holohepatica, or dorid nudibranchs (order Doridacea). Their sister-group, the Cladohepatica, consists of three other orders, Dendronotacea, Arminacea, and Aeolidiacea, in which there has been a shift from sponges to Cnidaria as food. The Dendronotacea often feed upon Octocorallia, which combine spicules, chemical defense, and stinging capsules and thereby suggest a transition from feeding on sponges. A previous diet of Octocorallia is suggested by the defensive use of prostaglandins in the dendronotacean Tethys fimbria, which eats crustaceans. A shift to bryozoans in some Arminacea is accompanied by use of different metabolites. Dorid nudibranchs evidently began as sponge-feeders, but some lineages have shifted to a variety of other food organisms, and others have specialized in the kind of sponges they feed on and how they do it. There have been shifts to bryozoans (Ectoprocta) and ascidians (Chordata: Urochordata) that track metabolites rather than the taxonomy of the food. There is a crude correlation between the genealogy and the defensive metabolites of the sponge-feeding dorids. De novo synthesis is well documented in this order and the metabolites are appropriately positioned so as to have an adaptive effect. The hypothesis that the capacity for de novo synthesis was acquired by gene transfer across lineages is rejected, partly on the basis of different chirality of metabolites in the nudibranchs and their food organisms. Instead it is proposed that there has been a preadaptive phase followed by evolution in a retrosynthetic mode, with selection favoring enzymes that enhance the yield of end products that are already present in the food. Received 5 February 1999; accepted 26 July 1999     

生态恢复过程中的种群遗传学考虑

生态恢复是生态科学的最终实验,从种群角度看,恢复的目标是使种群（尤其是优势种或建群种）到具有生长、繁殖和适应进化变化的能力。要达到这个目标,种群遗传学知识必不可少。遗传变异是物种适应变化环境的基础,而局部适应则是种群适应局部环境遗传分化的结果,它们在生态恢复中起着重要的作用。分析了生态恢复过程中影响种群遗传变异因素,主要有取样误差和小种群效应（主要是瓶颈或建立者事件及其以后的近交和漂变等）,在进行     

可持续转型与延伸生产者责任制度

本文采用多层次转型理论的分析框架,回顾了国内外延伸生产者责任(EPR)制度的理论和实践进展,对比了EPR制度倡导者最初提出的创新导向的制度设计,与当前各国实践中基于成本—效益平衡所开展的政策评估研究,指出两者在是否应该将激进的可持续转型作为EPR基本政策目标上观点不同,其原因在于政策的技术创新激励效果难以通过可测量的政策评估方法进行有效考察,由此造成两者在EPR政策调整方向上的分歧:前者坚持EPR制度设计应该进一步完善个体责任原则,以激励生产者创新和采纳绿色技术,推进生产消费模式的系统转型;而后者则强调在现有管制框架下简化制度设计,重点完善循环处理基础设施及其管理效率。这种分歧不仅影响到发达国家EPR制度的演化,也深刻影响了发展中国家EPR制度的移植和建构。结论以中国电子废物管理实践为例,提出构建包含三个层次的演化经济学分析框架,考察EPR制度建构过程中,微观层次的企业技术选择,中观层次的供应链治理结构变动,和宏观层次的再生资源产业转型,以系统考察制度发展对技术创新的激励效果。     

深度脱碳研究：内涵特征、主题演进与启示

深度脱碳旨在通过各经济部门碳强度急剧下降实现能源系统的深刻变革,是实现碳达峰碳中和的必由之路。该研究首先明确了深度脱碳内涵特征,对深度脱碳领域学术文献以及国际组织、研究机构等发布的前沿报告进行深度阅读,梳理出深度脱碳研究主题。之后,使用文献计量法基于深度脱碳研究热点和研究前沿的识别结果,分析了深度脱碳研究的演进趋势。研究发现：①深度脱碳本质上是通过技术、社会和经济政策等路径推动部署减碳、零碳和负碳技术,实现整个能源系统从高碳排放型过渡为与“净零排放”配套,相比脱碳,深度脱碳“涵盖范围”和“路径规划”特征决定了深度脱碳是一种更高级的脱碳过程。②目前深度脱碳研究主题主要分为深度脱碳面临的挑战、深度脱碳技术路径、面向深度脱碳的政策研究、深度脱碳成本和效益评估四类。③深度脱碳领域研究的演进趋势分为两个阶段：初期阶段（2015—2018年）深度脱碳研究的框架基本形成,初步形成了细分研究领域和研究前沿;快速发展阶段（2019—2021年）不断涌现细化的新兴研究主题,学者们的研究开始转向新的视角。最后,提出了深度脱碳研究对中国的启示：在研究视角上,应将宏中观层面的深度脱碳拓展至微观主体层面,以跨学科视角对企业价值链脱碳、企业脱碳潜力等问题开展研究。在研究方法与范式上,应以跨学科研究方法构建综合模型以支持现实决策。在研究内容上,建议围绕深度脱碳的激励机制、投融资机制、深度脱碳新兴技术识别、技术体系构建、深度脱碳成本效益评估框架、模型和方法等内容对目前深度脱碳的研究边界进行拓展。     

Optimizing mixture properties of biodiesel production using genetic algorithm-based evolutionary support vector machine

Nowadays, biodiesel is used as one of the alternative renewable energy due to the increasing energy demand. However, optimum production of biodiesel still requires a huge number of expensive and time-consuming laboratory tests. To address the problem, this research develops a novel Genetic Algorithm-based Evolutionary Support Vector Machine (GA-ESIM). The GA-ESIM is an Artificial Intelligence (AI)-based tool that combines K-means Chaotic Genetic Algorithm (KCGA) and Evolutionary Support Vector Machine Inference Model (ESIM). The ESIM is utilized as a supervised learning technique to establish a highly accurate prediction model between the input--output of biodiesel mixture properties; and the KCGA is used to perform the simulation to obtain the optimum mixture properties based on the prediction model. A real biodiesel experimental data is provided to validate the GA-ESIM performance. Our simulation results demonstrate that the GA-ESIM establishes a prediction model with better accuracy than other AI-based tool and thus obtains the mixture properties with the biodiesel yield of 99.9%, higher than the best experimental data record, 97.4%.     

我国东部沿海热带气旋演化特征研究

我国是遭受热带气旋灾害最为严重的国家之一.其年际年代际演化特征仍不清晰.采用中国气象局公布的1949?—?2018年的最佳路径数据集、登陆热带气旋名录以及HadlSST数据,探讨近70 a以来我国东部沿海热带气旋的时空演化特征及其与海表温度变化的内在关联.结果表明:(1)70 a间,热带气旋生成个数以及登陆我国东部沿海地区的个数略有波动,但超强热带气旋个数生成以及登陆我国的个数呈现明显增加趋势;登陆我国东部沿海地区的热带气旋大多生成于7、8、9月份,但4月以及11月也存在热带气旋生成并登陆现象.(2)登陆我国东部沿海地区的热带气旋主要生成于西北太平洋海域(432个)、南海海域(199个)和东海海域(28个),且主要在我国广东(220个)、海南(153个)、台湾(146个)、福建(47个)登陆.(3)热带气旋生成及登陆我国气旋与全球海表温度具有高度相关性;与西太平洋海温呈正相关,与东太平洋与印度洋海温呈负相关.     

天津城区夏冬季典型污染过程中BTEX变化特征及其健康风险评估

利用GC955在线气相色谱仪分别于2019年7月和2020年1月在天津市区开展苯系物(BTEX,包括苯、甲苯、乙苯、间/对-二甲苯和邻-二甲苯)实时在线观测,对典型污染过程中BTEX的浓度水平、组成及演化机制进行了研究,并运用特征物种比值法对BTEX的来源进行了定性分析,最后运用US EPA的人体暴露分析评价方法对BTEX健康风险进行评估.结果表明,臭氧和霾污染过程中BTEX体积分数平均值分别为1.32×10^-9和4.83×10^-9,其中苯的体积分数占比最大,其次是甲苯、乙苯和二甲苯占比最小.2020年1月BTEX体积分数很大程度上受到西南方向短距离传输的影响,而在2019年7月BTEX浓度受到本地排放的影响.BTEX浓度水平在2019年7月受到温度和相对湿度的共同影响,而在2020年1月当温度较低时BTEX浓度对相对湿度的变化更敏感.天津市区BTEX在霾污染过程中受生物质燃烧/化石燃料燃烧/燃煤排放的影响较大,而在臭氧污染过程中除了受到燃烧排放源影响,交通源排放在很大程度上也有影响.臭氧污染和霾污染过程中BTEX的HI分别为0.072和0....     

气溶胶等效复折射率反演的免疫进化算法

通过Mie散射理论公式构建目标函数,利用免疫进化算法对气溶胶等效复折射率的实部和虚部进行协同优化,据此创新性地提出了气溶胶等效复折射率反演的新途径.基于成都市2017年9~12月逐时的气溶胶散射系数和吸收系数观测数据以及该时段同时次GRIMM180大气颗粒物监测仪的连续监测资料,研究结果表明,气溶胶等效复折射率反演的免疫进化算法不仅是普适的,而且还具有收敛速度快、计算稳定和求解精度高等特点.通过与其它气溶胶等效复折射率反演方法的对比分析,进一步论证了新方法的优势,这为气溶胶等效复折射率演变机理以及气溶胶吸湿性增长模型的后续研究提供了算法保障.