Ecosystem Services Research in Green Sustainable Science and Technology Field: Trends, Issues, and Future Directions

Halfway through Transforming Our World: The 2030 Agenda for Sustainable Development, only 15 percent of the goals have been reached. As a carbon storage and climate change mitigation mechanism, blue carbon is closely related to sustainable development goals and plays an important role in the global carbon cycle. In spite of its great potential, blue carbon still faces several challenges in terms of achieving the Sustainable Development Goals. Herein, this review aims to retrieve all known impacts of blue carbon on sustainable development through research published on the Web of Science from 2012 to 2023 using a sequence of bibliometric analyses. Keywords such as “blue carbon” and “sustain*” (including “sustainability”, “sustainable”, etc.) were used for article extraction. CiteSpace, a science mapping tool, was used to capture and visually present the bibliometric information in the research about blue carbon and sustainable development. Upon reviewing the existing literature, no study has concentrated on bibliometrically analyzing and visualizing studies about blue carbon and sustainable development. This study sets out to fill this gap by examining the key areas of concentration in published works on blue carbon and sustainable development from 2012 to date. Moreover, the integration of blue carbon and sustainable development may help to develop supportive policies for marine carbon sinks. Despite the valuable contribution of this study to the blue carbon and sustainable development body of knowledge, generalizations of the results must be made cautiously due to the use of a single database, which in this case is the Web of Science.

Section: Currently Researched Topicsmentioning

confidence: 99%

A Systematic Review and Global Trends on Blue Carbon and Sustainable Development: A Bibliometric Study from 2012 to 2023

Pang,

Abdul Majid,

Perera

et al. 2024

“…Some studies collect multitemporal and multi-source geo-tagged data sets and generate a land use land cover (LULC) database. Based on that, researchers can easily access the target information and use GIS analysis tools for ecosystem service research [40,41], pasture dynamics research [42], etc. There is additional research using geospatial databases in sustainable agroecosystems [37], digitalized aqua farming [43], and sustainable foods [44].…”

Section: Related Work 21 Sustainability In Geospatial Databasesmentioning

confidence: 99%

Improving NoSQL Spatial-Query Processing with Server-Side In-Memory R*-Tree Indexes for Spatial Vector Data

Sun

Jin

2023

Geospatial databases are basic tools to collect, index, and manage georeferenced data indicators in sustainability research for efficient, long-term analysis. NoSQL databases are increasingly applied to manage the ever-growing massive spatial vector data (SVD) with their changeable data schemas, agile scalability, and fast query response time. Spatial queries are basic operations in geospatial databases. According to Green information technology, an efficient spatial index can accelerate query processing and save power consumption for ubiquitous spatial applications. Current solutions tend to pursue it by indexing spatial objects with space-filling curves or geohash on NoSQL databases. As for the performance-wise R-tree family, they are mainly used in slow disk-based spatial access methods on NoSQL databases that incur high loading and searching costs. Therefore, performing spatial queries efficiently with the R-tree family on NoSQL databases remains a challenge. In this paper, an in-memory balanced and distributed R*-tree index named the BDRST index is proposed and implemented on HBase for efficient spatial-query processing of massive SVD. The BDRST index stores and distributes serialized R*-trees to HBase regions in association with SVD partitions in the same table. Moreover, an efficient optimized server-side parallel processing framework is presented for real-time R*-tree instantiation and query processing. Through extensive experiments on real-world land-use data sets, the performance of our method is tested, including index building, index quality, spatial queries, and applications. Our proposed method outperforms other state-of-the-art solutions, saving between 27.36% and 95.94% on average execution time for the above operations. Experimental results show the capability of the BDRST index to support spatial queries over large-scale SVD, and our method provides a solution for efficient sustainability research that involves massive georeferenced data.

“…Although bibliometric analyses on innovation ecosystems evoke researchers' interest [35][36][37][38][39][40][41], scholars [5] emphasize the need for a more comprehensive understanding of the current state of innovation ecosystem research. No published documents have considered mapping innovation ecosystem development in the Scopus database.…”

Section: Introductionmentioning

confidence: 99%

A Decade of Innovation Ecosystem Development: Bibliometric Review of Scopus Database

Pilelienė,

Jucevičius

2023

The paper focuses on the bibliometric review of the Scopus database in the field of innovation ecosystem development, aiming to reveal the key trends in this fast-growing area of interdisciplinary research in terms of different quantitative and qualitative parameters. The bibliometric analysis followed PRISMA protocol guidelines for finding and extracting relevant scholarly papers based on the selected national, institutional, demographic, and scientific variables. The PRISMA procedure resulted in 401 selected open-access articles published on the topic of innovation ecosystem development from 2013 to 2023. The key findings indicate that research on innovation ecosystem development has seen late growth, which is a sign of still underexplored fields for potential pioneers. Researchers and institutions from the Nordic countries and the UK are most active as far as publications on innovation ecosystem development are concerned. However, researchers from the USA, Australia, and the UK dominate the citation records. Research collaborations help increase productivity and citation levels. The most cited articles fall into 4 clusters based on citations: innovation, smart tourism, digitalization, and entrepreneurship. Future research synergies can also be envisaged with the domains of digitalization, sustainable development, and the smart environment.