《本草图经》药物杜衡的本草考证

研究《本草图经》中记载的中药杜衡,通过查阅历代书籍和现代文献记载,对其名称、形态、地理分布、功效、药图进行考证,探究其原植物品种。结果表明,《本草图经》中记载的杜衡其原植物可能包含马兜铃科细辛属植物杜衡(Asarum forbesii Maxim)和小叶马蹄香(Asarum ichangense C. Y. Cheng et C. S. Yang)两种,该结果可为充分认识中药杜衡的基原植物提供新的佐证,为中药杜衡的临床应用提供参考。     

Long‐term research avoids spurious and misleading trends in sustainability attributes of no‐till

Agricultural management recommendations based on short‐term studies can produce findings inconsistent with long‐term reality. Here, we test the long‐term environmental sustainability and profitability of continuous no‐till agriculture on yield, soil water availability, and N₂O fluxes. Using a moving window approach, we investigate the development and stability of several attributes of continuous no‐till as compared to conventional till agriculture over a 29‐year period at a site in the upper Midwest, US. Over a decade is needed to detect the consistent effects of no‐till. Both crop yield and soil water availability required 15 years or longer to generate patterns consistent with 29‐year trends. Only marginal trends for N₂O fluxes appeared in this period. Relative profitability analysis suggests that after initial implementation, 86% of periods between 10 and 29 years recuperated the initial expense of no‐till implementation, with the probability of higher relative profit increasing with longevity. Importantly, statistically significant but misleading short‐term trends appeared in more than 20% of the periods examined. Results underscore the importance of decadal and longer studies for revealing consistent dynamics and emergent outcomes of no‐till agriculture, shown to be beneficial in the long term.     

枯草芽孢杆菌表达与调控工具相关研究进展

枯草芽孢杆菌作为革兰氏阳性模式微生物,由于其清晰的遗传背景、高效的分泌能力以及简单的培养条件等优势被广泛的应用于生物技术产业。近年来,随着代谢工程与合成生物学的发展,枯草芽孢杆菌相关表达系统与调控工具研究也取得了很大进展。围绕枯草芽孢杆菌动态调控工具的研究进展,分别从转录水平调控和转录后水平调控两个层面上进行综述,并对调控元件在生物技术中的应用进行了讨论。最后,对未来枯草芽孢杆菌表达与调控工具的发展进行了展望。     

黄土区土质与土石质塿土堆积体水力侵蚀过程差异

利用室内模拟降雨试验,研究了不同雨强及坡度条件下黄土区土质(不含砾石)与土石质(砾石质量分数30%)塿土堆积体的水动力学特征、侵蚀特征及侵蚀动力机制的差异。结果表明: 砾石存在改变了堆积体坡面的水动力学特性,与土质坡面相比,土石质坡面的流速、弗汝德数、单位径流功率和过水断面单位能分别减少1.7%～49.7%、6.7%～60.6%、2.0%～44.6%和1.0%～26.7%;曼宁糙率系数、径流剪切力分别增加6.2%～169.4%、5.7%～79.3%。2.0、2.5 mm·min^-1雨强下,土石质坡面侵蚀速率较土质坡面降低26.2%～89.9%,砾石的减沙效益显著。2种堆积体的侵蚀速率与水动力学参数间均可用线性函数拟合,与土质坡面相比,土石质坡面的可蚀性参数均降低,降幅为56.1%～73.3%;而临界水动力学参数中径流剪切力增加11.1%,径流功率、单位径流功率和过水断面单位能分别减少25.4%、64.0%和5.0%。砾石的存在一定程度上控制了工程堆积体坡面降雨侵蚀过程。     

基于景观生态学的城市人居环境代谢研究范式与研究框架建构

人居环境建设已经成为中国城市发展和当代生态学研究的新兴命题,基于物质代谢研究成果,系统剖析城市人居环境问题,提升城市化过程的生态文明水准成为推动新型城市化发展的重要路径选择。通过对人居环境视角和社会代谢视角的城市研究进行简要回顾,认为两种视角的有机整合可以弥补各自的理论和方法论缺陷,进而凝练出新的城市生态学研究思路。利用景观生态学理论和概念体系,建构了多层次、多维度的城市人居环境代谢研究范式和基本研究框架。这一范式可以从多尺度和多维度反映城市人居环境代谢的过程特征,厘清城市人为活动和各种资源环境问题的关联关系,整合多学科的知识和技术手段,解析城市人居环境的时空动态演化过程及其驱动机制,为城市人居环境研究学科的发展创造有利条件。通过建构基于景观生态学的城市人居环境物质能量代谢研究框架,还可以有效推进城市人居环境物质能量代谢中的格局-过程-尺度耦合问题,数据采集、储存与分析问题和效应调控与过程管理问题的研究,对于完善城市代谢研究方法,促进城市人居环境建设具有重要的参考和借鉴意义。     

基于logistic模型的中国自然保护区增长动态分析

中国自然保护区建设已由数量扩张型进入质量效益型的新阶段,运用自然保护区统计年鉴数据,基于logistic模型,借助R语言,对自然保护区发展上限进行了估算。同时,运用高等数据曲线曲率求导方法,对发展阶段进行划分,对持续时长和增长速度进行了测算。结果表明:①面积理论饱和值为15470.00万hm~2;②将自然保护区发展历程分为缓慢起步期(1956—1989年)、快速发展期(1990—2008年)和稳定完善期(2009—至今);③目前则处于稳定完善期,面积已渐近饱和值,数量仍在小幅度增加。希望本研究结果能为自然保护区主管部门制定管理政策、规划以及整合组建以国家公园为主体的自然保护地体系提供参考。     

Raman-based dynamic feeding strategies using real-time glucose concentration monitoring system during adalimumab producing CHO cell cultivation

The use of Process Analytical Technology tools coupled with chemometrics has been shown great potential for better understanding and control of mammalian cell cultivations through real-time process monitoring. In-line Raman spectroscopy was utilized to determine the glucose concentration of the complex bioreactor culture medium ensuring real-time information for our process control system. This work demonstrates a simple and fast method to achieve a robust partial least squares calibration model under laboratory conditions in an early phase of the development utilizing shake flask and bioreactor cultures. Two types of dynamic feeding strategies were accomplished where the multi-component feed medium additions were controlled manually and automatically based on the Raman monitored glucose concentration. The impact of these dynamic feedings was also investigated and compared to the traditional bolus feeding strategy on cellular metabolism, cell growth, productivity, and binding activity of the antibody product. Both manual and automated dynamic feeding strategies were successfully applied to maintain the glucose concentration within a narrower and lower concentration range. Thus, besides glucose, the glutamate was also limited at low level leading to reduced production of inhibitory metabolites, such as lactate and ammonia. Consequently, these feeding control strategies enabled to provide beneficial cultivation environment for the cells. In both experiments, higher cell growth and prolonged viable cell cultivation were achieved which in turn led to increased antibody product concentration compared to the reference bolus feeding cultivation.     

Evaluating the effectiveness of retention forestry to enhance biodiversity in production forests of Central Europe using an interdisciplinary,multi‐scale approach

Retention forestry, which retains a portion of the original stand at the time of harvesting to maintain continuity of structural and compositional diversity, has been originally developed to mitigate the impacts of clear‐cutting. Retention of habitat trees and deadwood has since become common practice also in continuous‐cover forests of Central Europe. While the use of retention in these forests is plausible, the evidence base for its application is lacking, trade‐offs have not been quantified, it is not clear what support it receives from forest owners and other stakeholders and how it is best integrated into forest management practices. The Research Training Group ConFoBi (Conservation of Forest Biodiversity in Multiple‐use Landscapes of Central Europe) focusses on the effectiveness of retention forestry, combining ecological studies on forest biodiversity with social and economic studies of biodiversity conservation across multiple spatial scales. The aim of ConFoBi is to assess whether and how structural retention measures are appropriate for the conservation of forest biodiversity in uneven‐aged and selectively harvested continuous‐cover forests of temperate Europe. The study design is based on a pool of 135 plots (1 ha) distributed along gradients of forest connectivity and structure. The main objectives are (a) to investigate the effects of structural elements and landscape context on multiple taxa, including different trophic and functional groups, to evaluate the effectiveness of retention practices for biodiversity conservation; (b) to analyze how forest biodiversity conservation is perceived and practiced, and what costs and benefits it creates; and (c) to identify how biodiversity conservation can be effectively integrated in multi‐functional forest management. ConFoBi will quantify retention levels required across the landscape, as well as the socio‐economic prerequisites for their implementation by forest owners and managers. ConFoBi's research results will provide an evidence base for integrating biodiversity conservation into forest management in temperate forests.     

One size does not fit all: Customizing MCMC methods for hierarchical models using NIMBLE

Improved efficiency of Markov chain Monte Carlo facilitates all aspects of statistical analysis with Bayesian hierarchical models. Identifying strategies to improve MCMC performance is becoming increasingly crucial as the complexity of models, and the run times to fit them, increases. We evaluate different strategies for improving MCMC efficiency using the open‐source software NIMBLE (R package nimble) using common ecological models of species occurrence and abundance as examples. We ask how MCMC efficiency depends on model formulation, model size, data, and sampling strategy. For multiseason and/or multispecies occupancy models and for N‐mixture models, we compare the efficiency of sampling discrete latent states vs. integrating over them, including more vs. fewer hierarchical model components, and univariate vs. block‐sampling methods. We include the common MCMC tool JAGS in comparisons. For simple models, there is little practical difference between computational approaches. As model complexity increases, there are strong interactions between model formulation and sampling strategy on MCMC efficiency. There is no one‐size‐fits‐all best strategy, but rather problem‐specific best strategies related to model structure and type. In all but the simplest cases, NIMBLE's default or customized performance achieves much higher efficiency than JAGS. In the two most complex examples, NIMBLE was 10–12 times more efficient than JAGS. We find NIMBLE is a valuable tool for many ecologists utilizing Bayesian inference, particularly for complex models where JAGS is prohibitively slow. Our results highlight the need for more guidelines and customizable approaches to fit hierarchical models to ensure practitioners can make the most of occupancy and other hierarchical models. By implementing model‐generic MCMC procedures in open‐source software, including the NIMBLE extensions for integrating over latent states (implemented in the R package nimbleEcology), we have made progress toward this aim.     

Focus: Zoonotic Disease: The Practice of Science as the Pursuit of Knowledge

Choosing what scientific project to pursue is the most important decision that scientists at all levels continually face. Time devoted to a project can further desirable knowledge and advance a career or cost years in lost opportunity. Knowing what to consider before embarking on a specific scientific journey, as well as when to drop a project and change course, offers a way of practicing science that keeps us mindful of what is relevant at a given time and place while preserving our freedom to explore the most exciting findings. This article explores both the pressures that restrict this delicate decision-making process and the processes that scientists can apply to overcome those pressures. Above all else, as it turns out, we must still love the pursuit of knowledge for its own sake – and this love directly impacts our results.