Producción Científica

 

 

Biodiversity is crucial for human well-being and economic prosperity, representing a significant factor in constructing a global community of life on Earth. This study focuses on 4453 articles indexed in the Web of Science Core Collection, employing the visualization analysis software Citespace 6.2.R7 for bibliometric analysis of research related to biodiversity and human well-being. The findings indicate the following: (1) there is a steady increase in publications on biodiversity and human well-being, covering 167 disciplinary fields, indicating a broad research scope; (2) the literature spans 168 countries and regions, with major contributions from the United States, England, Germany, Australia, and China; (3) COSTANZA R is the most cited author in this field, with Science being the most recognized journal; and (4) current research hot topics include ecosystem services, genetic diversity, marine protected areas, nature-based solutions (NbS), and green spaces, while climate change, urban green space management, and national park system development are identified as important emerging directions. This study, grounded in significant global literature, aims to enrich the breadth and depth of research on biodiversity and human well-being, offering feasibility references for constructing theoretical frameworks in biodiversity studies and providing theoretical guidance for promoting modern harmonious coexistence between humans and nature.

 

 

Steel structures face significant challenges in long-term maintenance because of complex and unstable service environments. Fortunately, the digital twin technique offers an excellent solution by creating a digital model and continuously updating it with real-time monitoring data. To determine the development and application status of the digital twin technique in steel structures, a review drawn on the latest literature from the past fifteen years was conducted. The bibliometric analysis and innovation discussion of these studies primarily focused on publication details, keyword information, and application specifics. Additionally, significant attention was given to the evolution of digital twin definitions, modeling methodologies, and application fields. The analysis results indicate that the digital twin technique in steel structures has made significant advancements in both its definition and modeling methodologies, thanks to worldwide contributions. Meanwhile, this technique also demonstrates advantages in the applications of material deformation, structural monitoring, infrastructure maintenance, and fatigue assessment. Based on this review of the existing literature, the future development of the digital twin technique in steel structures should focus on model innovation, application expansion, and performance optimization.

 

 

This study addresses solar energy applications in protected agriculture, focusing on greenhouses and related technologies. A bibliometric and technical analysis is developed, covering research published between 1976 and 2024, to identify the main trends and challenges in the use of solar energy in controlled environments. The methodology was based on the PRISMA approach, using the Scopus database to retrieve relevant documents. From an initial total of 221 documents, 216 were selected after a filtering and debugging process, ensuring the relevance of the final set. In the analytical phase, the results showed a moderate growth of 3.68% in the annual publication rate, highlighting the impact of research on solar energy’s application to air conditioning and energy efficiency in greenhouses. Most of the studies reviewed feature hybrid systems that combine solar energy with other resources, and we highlight both advances in climate control through artificial intelligence and the implementation of photovoltaic and thermal technologies to improve the energy efficiency of agricultural systems. The results also underline the importance of tomato cultivation in the selected studies, reflecting its global economic impact. The conclusions highlight the need for the further integration of energy storage and desalination technologies, especially in arid regions with high solar irradiation, to ensure the sustainability of greenhouses. It is proposed that future research should address the wider implementation of hybrid systems and advanced climate control technologies, optimizing both the use of energy resources and the performance of crops under cover. In addition, it is recommended that international collaboration be strengthened to address technical and climatic challenges in protected agriculture and to expand the adoption of innovative solutions in different geographical contexts.

 

 

Climate change has increased the frequency of extreme weather events, challenging traditional flood risk assessments. New methods, like InVEST’s urban flood risk mitigation model (UFRM), are crucial for assessing flood-prone areas, especially those vulnerable to pluvial flooding. This systematic review examines the utilization and limitations of the UFRM model for identifying flood-prone areas and designing adaptation plans in response to climate change, based on research articles published between 2019 and 2024. The articles were identified through Scinapse and Google Scholar using predefined criteria, including relevance to UFRM applications and publication within the specified timeframe. An analysis of the 21 selected papers using bibliometric techniques reveals geographic concentrations of the case studies that utilized the UFRM model primarily in Italy, Turkey, China, and the United States, with notable research gaps in Central Europe. The journal publication trends highlight the prominence of certain journals, such as the Journal of Land. A network analysis using VOSviewer identifies thematic clusters aligned with the UFRM research areas, including Urban Planning and Nature-Based Solutions (NBSs), Urbanization and Sustainable Development, the Economic and Social Effects of Flood Mitigation, Adaptation and Risk Management, and Resilience and Vulnerability. This review contributes to gaining a deeper understanding of the research landscape regarding the utilization of the UFRM model and provides recommendations for advancing sustainable and resilient urban development practices. The review was not preregistered in a formal registry. The finding reveals that integrating automation and optimization tools to suggest different solutions for problematic nodes in urban areas is crucial for addressing multiple issues simultaneously and optimizing adaptation plans effectively.

 

 

In recent years, the intensification of the urban heat island (UHI) effect has become a significant concern as urbanization accelerates. This survey comprehensively explores the current status of surface UHI research, emphasizing the role of land use and land cover changes (LULC) in urban environments. We conducted a systematic review of 8260 journal articles from the Web of Science database, employing bibliometric analysis and keyword co-occurrence analysis using CiteSpace to identify research hotspots and trends. Our investigation reveals that vegetation cover and land use types are the two most critical factors influencing UHI intensity. We analyze various computational intelligence techniques, including machine learning algorithms, cellular automata, and artificial neural networks, used for simulating urban expansion and predicting UHI effects. The study also examines numerical modeling methods, including the Weather Research and Forecasting (WRF) model, while examining the application of Computational Fluid Dynamics (CFD) in urban microclimate research. Furthermore, we evaluate potential mitigation strategies, considering urban planning approaches, green infrastructure solutions, and the use of high-albedo materials. This comprehensive survey not only highlights the critical relationship between land use dynamics and UHIs but also provides a direction for future research in computational intelligence-driven urban climate studies.

 

 

The decreasing availability of agricultural land, coupled with the growing global population, presents significant challenges worldwide. Reclaiming saline–alkali soil offers a promising solution to alleviate these challenges. Improving and utilizing saline soils present ecological challenges that are influenced by both technological advancements and socio-economic factors. This study presents a bibliometric analysis of the published research on saline soil remediation and reclamation from 1985 to the present, using data indexed by the Web of Science Core Collection: Science Citation Index Expanded and Social Science Citation Index. This analysis includes 16,729 publications, which indicate that, over the years, many scientists have conducted extensive research on enhancing and using sodic lands. Countries like the United States, China, Australia, Pakistan, Poland, India, Egypt, and Israel have been pioneers in this field. Furthermore, we summarize trends in this research area, highlighting how strategies for saline soil reclamation have evolved from physical and chemical remediation to salt-tolerant crop breeding and bioremediation applications. With the advancements in science and technology, more methods and strategies have become available to facilitate saline soil remediation. Consequently, management strategies combining multiple technologies will become more effective and provide powerful approaches for reclaiming arable soil from high-salinity marginal lands.

 

 

Solid-state batteries (SSBs) hold the potential to revolutionize energy storage systems by offering enhanced safety, higher energy density, and longer life cycles compared with conventional lithium-ion batteries. However, the widespread adoption of SSBs faces significant challenges, including low charge mobility, high internal resistance, mechanical degradation, and the use of unsustainable materials. These technical and manufacturing hurdles have hindered the large-scale commercialization of SSBs, which are crucial for applications such as electric vehicles, portable electronics, and renewable energy storage. This study systematically reviews the global SSB patent landscape using a cross-sectional bibliometric and thematic analysis to identify innovations addressing key technical challenges. The study classifies innovations into key problem and solution areas by meticulously examining 244 patents across multiple dimensions, including year, geographic distribution, inventor engagement, award latency, and technological focus. The analysis reveals significant advancements in electrolyte materials, electrode designs, and manufacturability. This research contributes a comprehensive analysis of the technological landscape, offering valuable insights into ongoing advancements and providing a roadmap for future research and development. This work will benefit researchers, industry professionals, and policymakers by highlighting the most promising areas for innovation, thereby accelerating the commercialization of SSBs, and supporting the transition toward more sustainable and efficient energy storage solutions.

 

 

The aim of this bibliometric analysis was to evaluate the evolution of scientific research in hydrogen, focusing on green hydrogen production, storage, and utilization. Articles from prominent databases were analyzed, revealing a strong emphasis on sustainable hydrogen technologies through keywords like “hydrogen production”, “green hydrogen”, and “solar power generation”. Mature research areas include production methods and electrolysis, while emerging topics such as energy efficiency and policy are gaining traction. The most-cited papers, from Energy Conversion and Management to the International Journal of Hydrogen Energy, cover techno-economic assessments and case studies on deploying hydrogen technologies. Key findings highlight the variability of the Levelized Cost of Hydrogen (LCOH) across technologies and regions. Deep learning applications, including Fast Fourier Transform-based forecasting and explainable AI models, are transforming production optimization, while Life Cycle Assessment (LCA) emphasizes renewable energy’s role in reducing carbon intensity and resource consumption. Diverse strategies, such as fiscal incentives for wind energy and use of urban waste, underline the importance of local solutions. This analysis reflects the rapid growth of hydrogen research, driven by international collaboration and innovations in sustainable production, storage, and optimization. It is hoped that this paper will help to shed more light on the current and future understanding of green hydrogen.

 

 

The 2023 Global Sustainable Development Report identified sustainable cities and communities as a critical area for in-depth review, emphasizing the need for systematically examining theoretical knowledge and guidance on the direction of development This article reviews the relevant literature from the Web of Science core database over the past decade and introduces Professor Verganti’s theoretical perspective of “design-driven innovation” to summarize technological research, user needs/demand, and design, providing a new theoretical dimension for the research on sustainable communities. To this end, this study employs three econometric tools—VOSviewer, RStudio Bibliometric, and CiteSpace—to analyze status and trends visually. The findings reveal that the design level has garnered the most research results, with the USA as the primary contributor and China as the country with the most development potential. Moreover, the most prominent research topics within the three perspectives are microbial communities, sustainable development goals, and ecosystem services, with recent research highlights focusing on artificial intelligence, social innovation, and tourism. In conclusion, this article proposes a strategic framework for the future development of sustainable communities, encompassing consolidation of technical foundations, clarification of demand orientation, and updating design specifications and theories to provide diverse solutions.

 

 

The optimization of land use structure is a key measure to promote the allocation of land resources, ensure sustainable land development, and address the human-land conflict. Since the 21st century, land use in China has exhibited spatiotemporal dynamic development characteristics in response to socio-economic growth and changes in regional geographical conditions. The academic community, both domestically and internationally, has enriched and refined the research system on China’s land use, driven by the need to optimize its land use structure. This study systematically reviews relevant land use research literature from 2000 to 2024, utilizing bibliometric analysis and visual mapping to conduct phased evaluations and an overall review. The existing LUCC research framework in China is extensive, with a strong focus on land use issues in the context of rapid development. Building on this review and incorporating practical needs, theoretical innovation, interdisciplinary integration, and expansion across multiple fields, we aim to propose a framework for future land resource research. This framework includes: (i) Establishing a Multi-functional Land Use System: This approach promotes the coordinated development of ecological and social benefits of land use. (ii) Enhancing Effective Assessment and Management of Ecological Risks: Such efforts contribute to optimizing spatial planning and ensuring land security. (iii) Addressing Low Land Use Efficiency: Focusing on this issue will enable more precise management aligned with regional characteristics. (iv) Exploring the Application of Multi-disciplinary and Cross-field Technologies in Land Use Efficiency Assessment: This integration will advance spatial planning research. (v) Expanding Research on Multi-functional Land Use and Multi-element Integration: This direction fosters coordination across various planning frameworks, promoting synergies in land use research.