Artículos

This study presents the results of a comprehensive bibliometric analysis of research on linear water erosion incisions in the Central-West region of Brazil. A total of 91 documents, including scientific articles, dissertations and academic theses, were analyzed to map the research trends and patterns in this field. The results indicate a predominance of geospatial and geodynamic studies. A multidisciplinary methodological approach is evident in 71% of the studies that combine multiple procedures to obtain more robust results. Most studies are multifactorial, using indicators of vegetation, land use and management, and geomorphology, reflecting the complexity of the processes involved. The main research focuses include modeling, mapping, and prediction indices. The results show that multiscale approaches are essential for integrating local and regional knowledge, offering a comprehensive understanding of the challenges and solutions for the erosive phenomenon. In addition, the geographical distribution of the studies reveals a greater concentration in the states of Goiás and Mato Grosso, associated with the intense agricultural and livestock activity in these areas. It is concluded that interdisciplinary approaches and the use of advanced technologies to address the challenges of linear water erosion should be intensified to promote sustainable land use and management practices.

The PlanetScope (PS) satellite constellation, developed by Planet Labs Inc., represents a significant advancement in Earth observation, offering high spatial resolution and daily revisit capabilities. This study provides a comprehensive bibliometric analysis of PS satellite imagery, exploring its utilization in scientific research from 2017 to 2023. Using data extracted from the Scopus database, 582 documents were analyzed to uncover the publication trends, key research disciplines, collaboration networks, and research themes related to PS imagery. The results highlight the increasing use of PS data in Earth and Planetary Sciences, Environmental Science, and Computer Science, with a notable concentration of research outputs from the United States, China, and Brazil. Furthermore, our findings indicate that PS data is applied in diverse fields, including land use/land cover classification, agriculture, environmental monitoring, and disaster assessment. Notably, machine learning techniques are increasingly applied to PS data, enhancing analysis capabilities. Despite the growing adoption of PS imagery, challenges related to data access, particularly in low-income regions, were identified, and PS data often plays a secondary or supplementary role in many studies. Recommendations for enhancing interdisciplinary collaboration, expanding open-access data programs, and integrating advanced processing techniques are proposed to maximize the impact of PS data in addressing global environmental challenges. This study provides valuable insights into the evolving landscape of PS-based research, emphasizing the potential of PS data and identifying areas for future exploration.

Climate change has a profound impact on tea cultivation, posing significant challenges to yield, quality, and sustainability due to stressors such as drought, temperature fluctuations, and elevated CO₂ levels. This study aims to address these challenges by identifying and synthesizing key themes, influential contributions, and effective adaptation strategies for mitigating the impacts of climate change on tea production. A systematic bibliometric and content analysis was conducted on 328 peer-reviewed documents (2004–2023), following the PRISMA methodology. Performance analysis using Bibliometrix examined trends in publication output, leading contributors, and geographical distribution, while science mapping with VOSviewer revealed collaboration networks and thematic clusters. A detailed review of highly cited studies highlighted the primary climate variables affecting tea cultivation and identified innovative adaptation strategies, as well as critical knowledge gaps. The results show significant progress in understanding the physiological, biochemical, and molecular responses of tea plants to climate-induced stressors, including antioxidant mechanisms, secondary metabolite regulation, and genomic adaptations. Despite these advancements, challenges remain, particularly regarding the combined effects of multiple stressors, long-term adaptation strategies, and the socioeconomic implications of climate change. The findings underscore the need for interdisciplinary approaches that integrate molecular, ecological, and socioeconomic research to address these issues. This study provides a solid foundation for guiding future research, fostering innovative adaptation strategies, and informing policy interventions to ensure sustainable tea production in a changing climate.

With the intensification of global warming, wetland greenhouse gas (GHG) emissions have attracted worldwide attention. However, the scientific understanding of wetland GHGs is still limited. To gain a comprehensive and systematic understanding of the current research status and development trends in wetland GHGs. We selected 1627 papers related to wetland GHG research from the Web of Science Core Collection database and used the bibliometric visualization analysis method to reveal the annual publication, main core research forces, research hotspots, and trends in this field. The results showed that the research in this field shows a steady upward trend. United States research institutions and scholars play a key role in this field. The research on “climate change” based on three major wetland GHGs (carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O)) has been continuously gaining popularity. In recent years, “water” has become an emerging core topic. More and more studies have focused on enhancing wetland pollutant treatment capacity, improving wetland ecosystem productivity, maintaining water level stability, strengthening blue carbon sink function, exploring remote sensing applications in wetlands, and promoting wetland restoration to reduce GHG emissions. Furthermore, we discussed the influencing factors of the emission of CO2, CH4, and N2O in wetlands and summarized the potential methods to reduce GHG emissions. The findings provide scientific guidance and reference on wetland sustainable development and GHG emission reduction.

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.

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.

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 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.

The increase in cement production has had a noteworthy impact on the emission of greenhouse gases. As a result, it is essential to develop geopolymer concrete innovations to mitigate the environmental consequences. However, conventional geopolymer concrete not only requires heavy machinery and an increase in the cross-sectional area of structural supports, but it also endangers the operating safety of workers. Therefore, in recent times, lightweight concrete has gained significant attention due to its many advantages and benefits to the structure and construction sectors. Thus, the aim of this study is to carry out a bibliometric analysis of the lightweight geopolymer concrete and assess its fundamental characteristics to determine the research gap in this area. This review paper will benefit researchers in identifying the ongoing trend in lightweight aggregate geopolymer concrete, identifying more areas for additional study. It will also act as a knowledge source for policymakers, journal editors, professionals, and research organizations.

Mountains are widely acknowledged as essential components of terrestrial landscapes. However, mountain ecosystems are particularly sensitive to climate and environmental changes. The sustainable management of the natural resources and ecological services provided by mountain systems is imperative. The 2030 agenda for sustainable development specifically established Sustainable Development Goal (SDG 15.4) to protect and promote the sustainability of mountain ecosystems. Researchers and policymakers have widely endorsed the use of remote sensing (RS) to monitor and evaluate progress in achieving mountain sustainable development. This paper firstly reviewed the mountain sustainable development from a conceptual framework to a defined objective process. A total of 804 publications since 2000 were retrieved using keyword searches. Based on bibliometric analysis, this study explores the various methods and resources used for monitoring SDG 15.4. RS monitoring methods on monitoring and assessment of mountain SDG indicators were introduced in detail. This review also discussed the challenges of using RS to monitor mountain SDG indicators, the limitations of SDG 15.4, and its interactions with other SDG targets. Halfway through the SDGs deadline, this study is helpful to review the research progress of mountain SDG indicators and provide support for promoting the realization of mountain SDG in 2030.