DOI: 10.12688/f1000research.185918.1 ISSN: 2046-1402

Ecological Vulnerability and Biodiversity Conservation within Agroecosystems: An Integrated Bibliometric Mapping and Systematic Literature Review

Mukhlis Ibrahim, Isadora Ravenska Lewaherilla, Mohamad Nandi Panto, Julia Mujahadah Pratiwi, Raudatul Umroh, Teguh Pratama Puji Pamungkas, Dirham ., Made Getas Pudak Wangi, Pasrin Rine, Sukmawati Sukmawati, Ade Sugiarti Kumalasari, Aditya Wahyudhi, Syarifuddin Syarifuddin, Andi Susilawaty Hardiani, Muhammad Rizal
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Background Accelerating climate change, habitat fragmentation, and intensive conventional agriculture have elevated ecological vulnerability and biodiversity conservation within agroecosystems into critical global frontiers. Despite expanding literature, a comprehensive synthesis of the intellectual structure and empirical transitions within this domain remains fragmented. This study maps the historical development, global scientific contributions, and thematic trajectories over an 11-year period to bridge the science-policy implementation gap. Methods Combining bibliometric mapping and systematic literature review (SLR) methods, we evaluated publications indexed in the Scopus database between 2015 and 2025. Following a rigorous PRISMA-compliant framework, 96 highly relevant articles were analyzed. Quantitative synthesis and network visualization were performed using the bibliometrix R-package and VOSviewer software to evaluate annual scientific outputs, country contributions, multi-country collaboration networks, and conceptual frameworks. Results The findings reveal an exponential growth in scientific production post-2018, peaking towards 2025, heavily driven by global policies such as the Kunming-Montreal Global Biodiversity Framework (CBD 2022) and UN SDG 15. China (via its Ecological Conservation Redline strategy), the United States, and Brazil emerged as the dominant global contributors. Multi-country publications (MCP) rose sharply from <15% to >40%, led by key China-USA and Europe-Brazil collaborative hubs. Keyword co-occurrence network analysis identified a paradigm shift toward advanced standardization, featuring geodetectors and spatiotemporal frameworks alongside structural indicators like functional traits and functional redundancy. Crucially, the data uncovers persistent limitations, including geographic data asymmetry, a reliance on macro-scale satellite modeling, and a distinct lack of localized plot-level field validation. Conclusions Global literature demonstrates an accelerating shift toward integrated landscape-driven adaptive management. To advance the discipline, future research must transition from broad regional assessments to transnational, multi-taxa ground-truthing field trials that synchronize ecological safety indices with localized stakeholder agricultural practices.

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