Towards Sustainable Futures: An Interdisciplinary Bridge-A Bibliometric Review on Climate Change, Agriculture, Land Management, and GIS


Genc N., Çolak H. E., Baser V.

SUSTAINABLE DEVELOPMENT, vol.33, no.4, pp.5848-5873, 2025 (SSCI, Scopus) identifier identifier

  • Publication Type: Article / Review
  • Volume: 33 Issue: 4
  • Publication Date: 2025
  • Doi Number: 10.1002/sd.3439
  • Journal Name: SUSTAINABLE DEVELOPMENT
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus, IBZ Online, ABI/INFORM, Environment Index, Geobase, Greenfile, Index Islamicus, Political Science Complete, Public Affairs Index
  • Page Numbers: pp.5848-5873
  • Keywords: agriculture, bibliometric analysis, climate change, GIS, land management, Sustainable Development Goals (SDGs)
  • Karadeniz Technical University Affiliated: Yes

Abstract

Climate change, one of the most pressing global challenges, threatens natural ecosystems, water cycles, and numerous basic processes, with agriculture facing particularly severe risks. Agriculture is the main source of food, which is essential for human survival, and its sustainability relies on the effective implementation of strategies and policies for adapting to and mitigating climate change. Land management serves as a cornerstone for the practical application of these strategies and policies. Consequently, climate change, agriculture, and land management are deeply interconnected. This relationship is explicitly emphasized within the framework of the United Nations' Sustainable Development Goals. The development and implementation of these strategies require the analysis and management of large, location-based datasets. At this point, Geographic Information System (GIS) emerges as a pivotal tool, enhancing the synergy between these three key concepts. This study offers a comprehensive bibliometric analysis of the critical interrelationship among climate change, agriculture, land management, and GIS. The findings indicate that sustainable agriculture, climate change adaptation, decision-making models, and smart farming applications have become increasingly prominent research focuses. In particular, growing interest in artificial intelligence and GIS-supported modeling tools has been observed; however, significant gaps in the literature still persist in this area. This highlights the potential for future interdisciplinary studies and the development of innovative approaches. The study aims to contribute to the literature as a key reference, facilitating the exploration of solutions to existing challenges and the identification of areas requiring further development.