A text mining analysis of the climate change literature in industrial ecology

The literature on climate change research has evolved tremendously since the 1990s. The goal of this study is to use text mining to review the climate change literature and study the evolution of the main trends over time. Specific keywords from articles published in the special issue “ Industrial Ecology for Climate Change Adaptation and Resilience” in the Journal of Industrial Ecology are first selected. Details of over 35,000 publications containing these keywords are downloaded from the Web of Science from 1990 to 2018. The number of publications and co‐occurrence of keywords are analyzed. Moreover, latent Dirichlet allocation (LDA)—a probabilistic approach that can retrieve topics from large and unstructured text documents—is applied on the abstracts to uncover the main topics (consisting of new terms) that naturally emerge from them. The evolution in time of the importance of some emerging topics is then analyzed on the basis of their relative frequency. Overall, a rapid growth in climate change publications is observed. Terms such as “climate change adaptation” appear on the rise, whereas other terms are declining such as “pollution.” Moreover, several terms tend to co‐occur frequently, such as “climate change adaptation” and “resilience.” The database collected and the LiTCoF (Literature Topic Co‐occurrence and Frequency) Python‐based tool developed for this study are also made openly accessible. This article met the requirements for a gold – gold JIE data openness badge described http://jie.click/badges .     

鸟类学研究:过去二十年的回顾和对中国未来发展的建议

为了解中国鸟类学研究的状况和发展趋势,我们利用在线文献数据库(Web of Science)检索了1991-2010年间发表的与鸟类有关的文献,对中国和其他国家的鸟类学研究论文、研究领域、研究机构等进行了分析和比较。结果发现,中国鸟类学研究发展很快,专业研究人员数量在1991-2010年间增长了近四倍,在国际上发表的研究论文的数量近几年年均增长25%;论文数量占世界的比例已经由1991-2000年的0.46%上升到了2001-2010年期间的1.53%,世界排名由第27位上升至第16位,并且研究领域更加多元化,论文水平不断提高。在鸟类系统发育与演化、合作繁殖和婚配、禽流感、巢寄生等领域的许多成果开始在国际相关领域的高水平刊物上发表,在古鸟类以及雉类和鹤类等濒危鸟类的保护研究方面位居世界前列。但从整体而言,中国鸟类学研究与世界上一些发达国家相比还有很大差距。为此我们对中国鸟类学未来的发展提出了一些建议,包括需要更加关注鸟类的生活史对策、气候变化和城市化对鸟类的影响、鸟类迁徙、濒危物种保护生物学等领域的研究,进一步加强国际交流与合作,规范鸟类研究及数据保存和处理的方法,采取更有效措施加大对青年研究人员的支持力度等。     

Worldwide melatonin research: a bibliometric analysis of the published literature between 2015 and 2019

ABSTRACT

This study presents a bibliometric analysis of the publications on melatonin research from the Scopus database during the period 2015–2019. Based on the keywords used, which are related to melatonin in the article title, the study retrieved 4411 documents for further analysis using various tools. We used Microsoft Excel to conduct the frequency analysis, VOSviewer for data visualization, and Harzing’s Publish or Perish for citation metrics and analysis. This study reports the results using standard bibliometric indicators such as the growth of publications, authorship patterns, collaboration, and prolific authors, country contribution, most active institutions, preferred journals, and top-cited articles. Based on our findings, there is a continuous growth of publications on melatonin research for 5 years since 2015. China was the largest contributor to melatonin research, followed by the United States. The Journal of Pineal Research published the most number of publications related to melatonin research. Our findings suggest that the role of melatonin in plant and food sciences, as well as in cancer, may in later years take over the clusters that earlier dominated melatonin research.     

Biodiversity monitoring: some proposals to adequately study species’ responses to climate change

Climate change affects all levels of biology and is a major threat for biodiversity. Hence, it is fundamental to run biodiversity monitoring programs to understand the effects of climate change on the biota and to be able to adjust management and conservation accordingly. So far, however, very few existing monitoring programs allow for the detection of climate change effects, as shown by a survey undertaken by the European project EuMon. Despite this shortcoming, several methods exist which allow to make inferences from existing data by integrating data across different monitoring programs: correlative analyses, meta-analyses and models. In addition, experiments are thought to be useful tools to understand the effects of climate change on plants and animals. Here, we evaluate the utility of these four main approaches. All these methods allow to evaluate long term effects of climate change and make predictions of species’ future development, but they are arguable. We list and compare their benefits and inconveniences, which can lead to uncertainties in the extrapolation of species responses to global climate change. Individual characteristics and population parameters have to be more frequently monitored. The potential evolution of a species should be also modelled, to extrapolate results across spatial and temporal scales as well as to analyse the combined effects of different climatic and biotic factors, including intra but also interspecific relationships. We conclude that a combination of methodologies would be the most promising tool for the assessment of biological responses to climate change, and we provide some thoughts about how to do so. Particularly, we encourage long-term studies along natural gradients (altitudinal or latitudinal) on the same species/habitats to be able to extrapolate to large geographic scales, and to have more complete data sets, necessary to understand the mechanisms of responses. Such data may provide a more accurate base for simulations across spatial and temporal scales, especially if they are publicly available in a common database. These recommendations could allow the adaptation of species management and the development of conservation tools to climate change which threatens species.     

气候变化背景下生物入侵研究态势的文献计量分析

生物入侵严重威胁生物多样性与生态系统健康,对全球环境、经济造成极大损失,而快速的气候变化显著影响外来生物的扩散和入侵进程。探讨气候变化背景下生物入侵研究态势能够从宏观上把握该领域的国际研究现状与热点,为深入理解外来种入侵机制和制定合理的防治策略提供参考。该文基于最近27 a间(1990—2016年)科学文献数据库Web of Science中科学引文索引扩展版(SCI-E)数据,利用TDA等统计工具对气候变化下生物入侵方面的研究进行了文献计量分析。结果表明:27 a间共发表论文1 736篇,论文数量整体保持增长态势,2009年开始进入快速发展阶段;该领域的研究涉及环境科学与生态学、生物多样性保护、植物学等多个学科;澳大利亚莫纳什大学Chown SL教授发文量最高(35篇);美国的总发文量(708篇)和高被引、高影响因子论文数量均居世界首位;发文量最多的研究机构是加利福尼亚大学(93篇),中国科学院发文量居世界第10位(27篇);Biological Invasions是刊文量最大的学术杂志;物种分布模型、生物多样性、全球变暖、风险评估等是近年来该领域的研究热点;中国共发表论文52篇,中国科学院是国内最大的发文机构,其中,动物研究所、武汉植物园、植物研究所的发文量居中科院科研系统前三名;中国在气候变化下生物入侵领域的高被引、高影响因子论文数量及国际合作强度亟待提升。未来需重点关注气候变化下生物入侵的预测与风险评估、生物入侵与生物多样性关系、入侵物种的系统进化、入侵生态系统的多营养级关系、海洋生物入侵、生物入侵与人类健康等问题。     

Stories hidden in tree rings: A review on the application of stable carbon isotopes to dendrosciences

During the last 25 years, the dendrochronology community has benefited from the application of stable carbon isotopes in tree rings to answer a number of research questions, which has resulted in an exponential burst in the number of publications related to this discipline. Here, we perform a literature review of the most influential topics (scope, methodology, targeted species, and climatic signals) that have shaped the research agenda and its impact on the scholarly output over the recent decades. Based on a total of 550 publications, we observed that: (1) conifers are the most investigated tree functional type, being included in over two-thirds of studies; (2) although being a subject of debate, the material of choice for carbon isotope analyses is still cellulose, for which the extraction procedure has been refined with methodological improvements over the years; (3) a shift in the application of carbon isotopes has occurred from proxies of climatic information for paleoclimatic reconstructions to tools for the understanding of short- and long-term tree functioning; and (4) such shift in research scope is apparently linked to an increasing number of publications showing drought-related signals governing isotope time series in the context of current climate change. Besides, we also assessed the number and outcome of publications analyzing ¹³C-derived intrinsic water-use efficiency (WUE_i) trends within the framework formulated by Saurer et al. (2004). We found that leaf intercellular CO₂ concentration responding proportionally to the increase in atmospheric CO₂ is the most common scenario reported across continents, but with changing importance relative to other scenarios depending on the biome examined. We also detected that climate plays a dominant role over any potential CO₂ fertilization linked to increasing WUE_i. Looking for new and thrilling research avenues, future studies should further examine δ¹³C fluctuations at intra-annual resolution, explore its links to wood characteristics, and disentangle δ¹³C signals of the distinct wood constituents for a better understanding of tree functioning at varying spatiotemporal scales, also benchmarking vegetation models of different complexities.     

基于文献计量的牡蛎礁研究现状与热点分析

牡蛎礁作为重要的海岸带生态系统,具备水质净化、提供栖息地等多种生态系统服务功能。为了解国内外牡蛎礁研究的现状与热点,分别以Web of Science 核心合集数据库和中国期刊全文数据库为数据源,通过国内外发文趋势分析、高频关键词分析、关键词共现和聚类分析及主题时间演变分析等,分析牡蛎礁研究热点与趋势。研究结果表明：（1）国际与国内牡蛎礁研究发文量总体呈现上升趋势,但国内研究增长速率低于国际研究;（2）牡蛎礁生态恢复研究是国内外研究的共同关注点,但国内相关研究起步较晚;（3）以外,国际上对牡蛎礁的研究更加关注生态系统服务功能、气候变化等,而国内主要倾向于从地质学角度进行研究;（4）近年来,气候变化成为国际牡蛎礁研究新的热点,但国内对此关注较少。本研究将为了解当前国内外牡蛎礁研究现状及发展态势提供借鉴,并为我国牡蛎礁保护与修复方面的政策制定、科学研究等工作的开展提供情报参考。     

Cgaln: fast and space-efficient whole-genome alignment

Background  

Whole-genome sequence alignment is an essential process for extracting valuable information about the functions, evolution, and peculiarities of genomes under investigation. As available genomic sequence data accumulate rapidly, there is great demand for tools that can compare whole-genome sequences within practical amounts of time and space. However, most existing genomic alignment tools can treat sequences that are only a few Mb long at once, and no state-of-the-art alignment program can align large sequences such as mammalian genomes directly on a conventional standalone computer.     

Ecological niches and their evolution among Neotropical manakins (Aves: Pipridae)

Study of the evolution of ecological characteristics using phylogenetic information is only beginning, but several new tools and approaches open fascinating possibilities. The Pipridae is a diverse and well‐known family of frugivorous birds that are easily sampled and that are broadly distributed across many Neotropical environments, and as such are appropriate for studies of ecological niche evolution. Using known occurrences and climate and topography data sets, we modeled ecological niches for each species in the family, and carried out analyses aimed at describing ecological niches of manakins and understanding historical patterns of ecological change in the family. Most species’ ecological niches were characterized by warm and relatively humid conditions, reflecting the great diversification of the family in lowland and montane forests of western South America. Ecological niche evolution was in general conservative, with most sister species pairs being closely similar ecologically, indicating that isolation rather than adaptation to new ecological conditions has dominated the diversification in this family. Exceptions to this pattern represent interesting foci for future research, whereas studies of ecological niches focusing on past distributions of manakins will allow further biogeographic inferences.     

Animal QTLdb: beyond a repository

Over the past ten years there have been a large number of publications that have described hundreds of quantitative trait loci (QTL) in livestock species. To facilitate the comparison of QTL results across experiments, the Animal QTL database (QTLdb) was developed to house all published QTL information as a public repository. The QTLdb was originally developed to serve the porcine genomics community (previously known as PigQTLdb). We have further developed the QTLdb to house QTL data from multiple species, including but not limited to cattle, chickens, and pigs. In addition, tools have been developed to allow QTL map alignments against consensus linkage maps, radiation hybrid (RH) maps, BAC fingerprinted contig (FPC) maps, single nucleotide polymorphism (SNP) location maps, and human maps. In addition, we have expanded the capabilities of the database such that research tools were developed where “private” preliminary QTL data could be entered and compared against all public data. This allows researchers to visualize data before publication and compare it with published results to aid in data interpretation. To serve this purpose, the database curator/editor tools also include functions that allow registered users to enter their own QTL data, make use of the QTLdb tools for data analysis, and use the QTLdb as a publishing tool (URL: ).     

Formalized synthesis opportunities for ecology: systematic reviews and meta‐analyses

Narrative reviews are dead. Long live systematic reviews (and meta‐analyses). Synthesis in many forms is now a driving force in ecology. Advances in open data for ecology and new tools provide vastly improved capacity for novel, emergent knowledge synthesis in our discipline. Systematic reviews and meta‐analyses are two formal synthesis opportunities for ecologists that are now accepted as traditional publications, but the scope of validated syntheses will continue to expand. To date, systematic reviews are rarely used whilst the rate of meta‐analyses published in ecological journals is increasing exponentially. Systematic reviews provide an overview of the literature landscape for a topic, and meta‐analyses examine the strength of evidence integrated across different studies. Effective synthesis benefits from both approaches, but better data reporting and additional advances in the culture of sharing data, code, analytics, workflows, methods and also ideas will further energize these efforts. At this junction, synthetic efforts that include systematic reviews and meta‐analyses should continue as stand‐alone publications. This is a necessary step in the evolution of synthesis in our discipline. Nonetheless, they are still evolving tools, and meta‐analyses in particular are simply an extended set of statistical tests. Admittedly, understanding the statistics and assumptions influence how we conduct synthesis much as statistical choices often shape experimental design, i.e. ANOVA versus regression‐based experiments, but statistics do not make the paper. Current steps – primary research articles need to more effectively report evidence, sharing scientific products should expand, systematic reviews should be used to identify research gaps/delineate literature landscapes, and meta‐analyses should be used to examine evidence patterns to further predictive ecology.     

Activities of agro-meteorological service within the national hydrometeorological service in Slovenia

Agrometeorological department of Meteorological Office at Slovenian Environment Agency (ARSO) is a key provider of agrometeorological service in Slovenia. Its major priority is to manage agrometeorological and phenological networks including providing guidelines for observers and maintenance of databases. Agrometeorological and phenological data are foundation for several tools and analyses which have been developed during the past decades for agricultural decision purposes. Recently, focus is on the crop water balance modelling with irrigation forecasts, drought monitoring, climate change impact scenarios and many others. After year 2006 special work emphasis is on coordination of Drought Management Center for South-eastern Europe hosted by ARSO. A set of information, tools and publications, bulletins is free available at the webpage and servers of ARSO with the aim to make smarter weather/climate related decisions in agriculture.     

The Stanford Microarray Database: data access and quality assessment tools

The Stanford Microarray Database (SMD; http://genome-www.stanford.edu/microarray/) serves as a microarray research database for Stanford investigators and their collaborators. In addition, SMD functions as a resource for the entire scientific community, by making freely available all of its source code and providing full public access to data published by SMD users, along with many tools to explore and analyze those data. SMD currently provides public access to data from 3500 microarrays, including data from 85 publications, and this total is increasing rapidly. In this article, we describe some of SMD's newer tools for accessing public data, assessing data quality and for data analysis.     

Current issues in tropical phenology: a synthesis

We retrace the development of tropical phenology research, compare temperate phenology study to that in the tropics and highlight the advances currently being made in this flourishing discipline. The synthesis draws attention to how fundamentally different tropical phenology data can be to temperate data. Tropical plants lack a phase of winter dormancy and may grow and reproduce continually. Seasonal patterns in environmental parameters, such as rainfall, irradiance or temperature, do not necessarily coincide temporally, as they do in temperate climes. We review recent research on the drivers of phenophase cycles in individual trees, species and communities and highlight how significant innovations in biometric tools and approaches are being driven by the need to deal with circular data, the complexity of defining tropical seasons and the myriad growth and reproductive strategies used by tropical plants. We discuss how important the use of leaf phenology (or remotely‐sensed proxies of leaf phenophases) has become in tracking biome responses to climate change at the continental level and how important the phenophase of forests can be in determining local weather conditions. We also highlight how powerful analyses of plant responses are hampered at many tropical sites by a lack of contextual data on local environmental conditions. We conclude by arguing that there is a clear global benefit in increasing long term tropical phenology data collection and improving empirical collection of local climate measures, contemporary to the phenology data. Directing more resources to research in this sector will be widely beneficial.     

Conducting robust ecological analyses with climate data

Although the number of studies discerning the impact of climate change on ecological systems continues to increase, there has been relatively little sharing of the lessons learnt when accumulating this evidence. At a recent workshop entitled ‘Using climate data in ecological research’ held at the UK Met Office, ecologists and climate scientists came together to discuss the robust analysis of climate data in ecology. The discussions identified three common pitfalls encountered by ecologists: 1) selection of inappropriate spatial resolutions for analysis; 2) improper use of publically available data or code; and 3) insufficient representation of the uncertainties behind the adopted approach. Here, we discuss how these pitfalls can be avoided, before suggesting ways that both ecology and climate science can move forward. Our main recommendation is that ecologists and climate scientists collaborate more closely, on grant proposals and scientific publications, and informally through online media and workshops. More sharing of data and code (e.g. via online repositories), lessons and guidance would help to reconcile differing approaches to the robust handling of data. We call on ecologists to think critically about which aspects of the climate are relevant to their study system, and to acknowledge and actively explore uncertainty in all types of climate data. And we call on climate scientists to make simple estimates of uncertainty available to the wider research community. Through steps such as these, we will improve our ability to robustly attribute observed ecological changes to climate or other factors, while providing the sort of influential, comprehensive analyses that efforts to mitigate and adapt to climate change so urgently require.     

Scientific Wealth in Middle East and North Africa: Productivity,Indigeneity, and Specialty in 1981–2013

Several developing countries seek to build knowledge-based economies by attempting to expand scientific research capabilities. Characterizing the state and direction of progress in this arena is challenging but important. Here, we employ three metrics: a classical metric of productivity (publications per person), an adapted metric which we denote as Revealed Scientific Advantage (developed from work used to compare publications in scientific fields among countries) to characterize disciplinary specialty, and a new metric, scientific indigeneity (defined as the ratio of publications with domestic corresponding authors) to characterize the locus of scientific activity that also serves as a partial proxy for local absorptive capacity. These metrics—using population and publications data that are available for most countries–allow the characterization of some key features of national scientific enterprise. The trends in productivity and indigeneity when compared across other countries and regions can serve as indicators of strength or fragility in the national research ecosystems, and the trends in specialty can allow regional policy makers to assess the extent to which the areas of focus of research align (or not align) with regional priorities. We apply the metrics to study the Middle East and North Africa (MENA)—a region where science and technology capacity will play a key role in national economic diversification. We analyze 9.8 million publication records between 1981–2013 in 17 countries of MENA from Morocco to Iraq and compare it to selected countries throughout the world. The results show that international collaborators increasingly drove the scientific activity in MENA. The median indigeneity reached 52% in 2013 (indicating that almost half of the corresponding authors were located in foreign countries). Additionally, the regional disciplinary focus in chemical and petroleum engineering is waning with modest growth in the life sciences. We find repeated patterns of stagnation and contraction of scientific activity for several MENA countries contributing to a widening productivity gap on an international comparative yardstick. The results prompt questions about the strength of the developing scientific enterprise and highlight the need for consistent long-term policy for effectively addressing regional challenges with domestic research.     

近20年外来生物入侵危害与风险评估文献计量分析

外来生物入侵导致全球生物多样性下降,极大地威胁着生态系统健康,已造成很大的生态损失与经济损失。近年来,随着生物入侵的加剧,全球对生物入侵的研究力度不断加大。外来入侵生物的生态危害与风险评估可以为人们提供对入侵可能性和入侵方式更直接的信息,从而为管理者制定管理策略提供依据。基于最近20年间(1995—2014年)科学文献数据库Web of Science的科学引文索引数据库扩展版(SCI-E)中数据,对外来入侵生物的生态危害与风险评估方面的研究进行了文献计量分析,旨在了解当前国际研究现状,以便推动中国的生物入侵相关研究。为了全面掌握全球外来生物入侵生态危害与风险评估方面的研究,采用Bibexcel与TDA文献计量工具,对Web of Science数据库中相关文献进行了分析,去重后共获取5492篇文献。结果表明:近20年(1995—2014年)入侵生物的生态危害与风险评估方面的研究刊文量呈现前缓后剧增的趋势,2008—2014年进入了快速发展阶段,文献数量急剧增加,2014年达到最高(511篇);美国发文量远超其它国家,占据主导地位,中国刊文量排名第5。美国、澳大利亚、法国、英国、德国的研究论文影响力较大。刊文量最多的研究机构为美国农业部(USDA),中国科学院发文量排名第10位。研究学科主要为昆虫学、农艺学、植物科学、生态学,研究热点集中在生物防治、风险评估、粮食作物和经济作物的病虫害防治、杂草防控,以及生物入侵与气候变化的关系等方面。有关外来入侵生物的生态危害与风险评估的研究多集中于北美、澳大利亚和欧洲,未来要加强亚洲地区,特别是中国外来生物入侵风险评估的研究;要加强气候变化对外来生物物种特性的影响研究,更多关注入侵生物的生态控制与生态恢复方面的研究,以便更好地为今后长期有效地防控入侵生物提供理论与技术指导。     

Interdisciplinary knowledge exchange across scales in a globally changing marine environment

The effects of anthropogenic global environmental change on biotic and abiotic processes have been reported in aquatic systems across the world. Complex synergies between concurrent environmental stressors and the resilience of the system to regime shifts, which vary in space and time, determine the capacity for marine systems to maintain structure and function with global environmental change. Consequently, an interdisciplinary approach that facilitates the development of new methods for the exchange of knowledge between scientists across multiple scales is required to effectively understand, quantify and predict climate impacts on marine ecosystem services. We use a literature review to assess the limitations and assumptions of current pathways to exchange interdisciplinary knowledge and the transferability of research findings across spatial and temporal scales and levels of biological organization to advance scientific understanding of global environmental change in marine systems. We found that species‐specific regional scale climate change research is most commonly published, and “supporting” is the ecosystem service most commonly referred to in publications. In addition, our paper outlines a trajectory for the future development of integrated climate change science for sustaining marine ecosystem services such as investment in interdisciplinary education and connectivity between disciplines.     

Using Co-authorship Networks to Map and Analyse Global Neglected Tropical Disease Research with an Affiliation to Germany

Background

Research on Neglected Tropical Diseases (NTDs) has increased in recent decades, and significant need-gaps in diagnostic and treatment tools remain. Analysing bibliometric data from published research is a powerful method for revealing research efforts, partnerships and expertise. We aim to identify and map NTD research networks in Germany and their partners abroad to enable an informed and transparent evaluation of German contributions to NTD research.

Methodology/Principal Findings

A SCOPUS database search for articles with German author affiliations that were published between 2002 and 2012 was conducted for kinetoplastid and helminth diseases. Open-access tools were used for data cleaning and scientometrics (OpenRefine), geocoding (OpenStreetMaps) and to create (Table2Net), visualise and analyse co-authorship networks (Gephi). From 26,833 publications from around the world that addressed 11 diseases, we identified 1,187 (4.4%) with at least one German author affiliation, and we processed 972 publications for the five most published-about diseases. Of those, we extracted 4,007 individual authors and 863 research institutions to construct co-author networks. The majority of co-authors outside Germany were from high-income countries and Brazil. Collaborations with partners on the African continent remain scattered. NTD research within Germany was distributed among 220 research institutions. We identified strong performers on an individual level by using classic parameters (number of publications, h-index) and social network analysis parameters (betweenness centrality). The research network characteristics varied strongly between diseases.

Conclusions/Significance

The share of NTD publications with German affiliations is approximately half of its share in other fields of medical research. This finding underlines the need to identify barriers and expand Germany’s otherwise strong research activities towards NTDs. A geospatial analysis of research collaborations with partners abroad can support decisions to strengthen research capacity, particularly in low- and middle-income countries, which were less involved in collaborations than high-income countries. Identifying knowledge hubs within individual researcher networks complements traditional scientometric indicators that are used to identify opportunities for collaboration. Using free tools to analyse research processes and output could facilitate data-driven health policies. Our findings contribute to the prioritisation of efforts in German NTD research at a time of impending local and global policy decisions.     

Evidence from nucleic acid and protein chemistry, in particular serology, in angiosperm classification

Semantides, or information carrying molecules, are divided into primary semantides (DNA), secondary semantides (RNA), and tertiary semantides (proteins), with pro–teinaceous material proving to be the most useful in taxonomic and systematic research to date. The contributions to angiosperm classification from amino acid sequencing, DNA hybridization, and fraction I protein are still limited; however, serological data (600 taxa in 200 taxonomic publications) substantially (but unequally) influenced the most recent revisions of systems of classification presented by Cronquist, Dahlgren, Takhtajan, and Thorne. The analyses of semantides and amino acids have thus proven to be unequally useful in helping to understand evolution and phytogeny, and in contributing to classifications. The continuing incorporation of data from diverse disciplines into the development of systems of angiosperm classification makes multidisciplinary and multiauthor research (team research) more essential as we move into future research planning.