Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Managing landscape services on small islands requires special attention due to resource constraints impacting socio-economic dynamics. This study identifies landscape services on Pasaran Island, Bandar Lampung City, considering ecological, social, and economic factors, and examines the importance and performance of these services from residents' perspectives. Using the Importance-Performance Analysis Matrix (IPMA) in SPSS, 100 local residents who have lived on the island for at least five years were surveyed to understand the community's socioeconomic background. Drone mapping facilitated by DroneDeploy, Agisoft Photoscan Pro, and QGIS revealed diverse land use in Pulau Pasaran. The research highlighted that 37% of the population monthly incomes ranging from 300,000 to 1,000,000 IDR, influenced by natural resource availability. IPMA analysis categorized findings into quadrants: Quadrant I stressed enhanced community and government involvement in landscape service management. Quadrant II reflected community concerns about risks from landscape service use. Quadrant III underscored the necessity for greater transparency in government funding. Quadrant IV indicated community to engage in landscape service planning. The IPMA results for Pasaran Island identified significant gaps in community management: transparency (-0.09), labor assistance (-0.06), and cleanliness (-0.03). Conversely, positive gaps were found in financial assistance (+0.09) and community desire to reduce damage (+0.02). In conclusion, community needs is essential for effective landscape service management.
Managing landscape services on small islands requires special attention due to resource constraints impacting socio-economic dynamics. This study identifies landscape services on Pasaran Island, Bandar Lampung City, considering ecological, social, and economic factors, and examines the importance and performance of these services from residents' perspectives. Using the Importance-Performance Analysis Matrix (IPMA) in SPSS, 100 local residents who have lived on the island for at least five years were surveyed to understand the community's socioeconomic background. Drone mapping facilitated by DroneDeploy, Agisoft Photoscan Pro, and QGIS revealed diverse land use in Pulau Pasaran. The research highlighted that 37% of the population monthly incomes ranging from 300,000 to 1,000,000 IDR, influenced by natural resource availability. IPMA analysis categorized findings into quadrants: Quadrant I stressed enhanced community and government involvement in landscape service management. Quadrant II reflected community concerns about risks from landscape service use. Quadrant III underscored the necessity for greater transparency in government funding. Quadrant IV indicated community to engage in landscape service planning. The IPMA results for Pasaran Island identified significant gaps in community management: transparency (-0.09), labor assistance (-0.06), and cleanliness (-0.03). Conversely, positive gaps were found in financial assistance (+0.09) and community desire to reduce damage (+0.02). In conclusion, community needs is essential for effective landscape service management.
Marine pollution, a major disturbance to the sustainable use of oceans, is becoming more prevalent around the world. Multidimensional and sustainable ocean governance have become increasingly focused on managing, reducing, and eliminating marine pollution. Artificial intelligence has been used more and more in recent years to monitor and control marine pollution. This systematic literature review, encompassing studies from the Web of Science and Scopus databases, delineates the extensive role of artificial intelligence in marine pollution management, revealing a significant surge in research and application. This review aims to provide information and a better understanding of the application of artificial intelligence in marine pollution. In marine pollution, 57% of AI applications are used for monitoring, 24% for management, and 19% for prediction. Three areas are emphasized: (1) detecting and responding to oil pollution, (2) monitoring water quality and its practical application, and (3) monitoring and identifying plastic pollution. Each area benefits from the unique capabilities of artificial intelligence. If the scientific community continues to explore and refine these technologies, the convergence of artificial intelligence and marine pollution may yield more sophisticated solutions for environmental conservation. Although artificial intelligence offers powerful tools for the treatment of marine pollution, it does have some limitations. Future research recommendations include (1) transferring experimental outcomes to industrial applications in a broader sense; (2) highlighting the cost-effective advantages of AI in marine pollution control; and (3) promoting the use of AI in the legislation and policy-making about controlling marine pollution.
This study investigates the alignment of research on small island developing states (SIDSs) with sustainable development goals (SDGs), identifying key focus areas, interdisciplinary connections, research gaps, thematic clusters, and insights from case studies. By employing a mixed methods research design that combines quantitative scientometric analysis with qualitative case studies, this unique study examines the nexus between SIDS research and its contribution to SDGs. The findings reveal that SDG 13 (climate action) and SDG 14 (life below water) dominate SIDS research, emphasizing the need to address climate challenges and marine biodiversity. Economic aspects are underscored by SDG 8 (decent work and economic growth) and SDG 12 (responsible consumption and production), while urban development and inequality are addressed through SDG 11 (sustainable cities and communities) and SDG 10 (reduced inequalities). Renewable energy and food security are focal points in SDG 7 (affordable and clean energy) and SDG 2 (zero hunger). Moderate research outputs in SDG 3 (good health and well-being) and SDG 15 (life on land) suggest a holistic approach, while lower activity in SDGs 16 (peace), 6 (clean water), 4 (education), and 5 (gender) presents opportunities for further exploration. SIDS research is highly interdisciplinary, as seen through three distinct SDG networks: foundational social goals, economic and environmental objectives, and environmental preservation. The thematic clusters in SIDS research include environmental challenges and adaptation, public health, and socioeconomic development, and energy policy and environmental economics. Case studies from various SIDSs illustrate the complex interplay between environmental sustainability, economic development, and social well-being, highlighting the importance of tailored approaches, international cooperation, and local community engagement. These findings underscore the need for integrated research strategies to address the complex challenges of SIDSs, emphasizing climate action, sustainable economic practices, and comprehensive development approaches to achieve the SDGs effectively.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.