Bridging the gap between natural and social sciences: a bibliometric review of climate-smart agriculture-challenges and opportunities

Global climate change puts pressure on agricultural systems, which in turn exacerbate global warming. Climate-smart agriculture (CSA) aims to address the dual challenges by enhancing productivity, resilience, and mitigation. However, existing research remains largely isolated within either natural or social sciences, limiting its potential to address complex agricultural issues. This review bridges the gap with a bibliometric analysis of 997 Web of Science documents (2013–2023) using CiteSpace and VOSviewer. It aims to reveal cross-disciplinary challenges and opportunities by analyzing keywords clusters and citation bursts, based on publication trends, categories, journals, authors, affiliations, and geographic distributions. The findings include: (1) From horizontal keywords clusters: CSA adoption in Southern Africa cluster is hindered by multiple barriers, while inclusive and collaborative approach offers opportunities. No-tillage cluster faces inconsistent yield impacts. Climate adaptation struggles with resource, governance, and continuity challenges while pro-poor economic integration offers opportunities. Greenhouse gas cluster presents contradictory findings with opportunities through studying in mechanisms driving GHG fluxes, and the challenges and opportunities in heat stress cluster are in balancing temperature extremes. (2) From temporal keywords citation bursts: early research focus on policy integration and agricultural system dynamics with challenges in cost-benefit uncertainties and policy scalability, while later on, incorporating women into CSA design provides key opportunities for inclusive development. In the latest stage, methane emissions from paddy fields have become a major issue. These insights lay a foundation for addressing the intertwined challenges of climate change and agricultural sustainability.

Text 124026.pdf - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (3MB) Official URL or Download Paper: https://link.springer.com/article/10.1007/s10668-0...

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