Analysis of Deforestation Research Trends in 2015–2024 A Bibliometric Approach on Scopus
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deforestation, bibliometric analysis, VOSviewer, Scopus, environmental economics, Nusantara Capital City (IKN)
Abstract
This study maps the scholarly landscape on deforestation over 20.00 papers around 2015–2024 using a bibliometric approach to Scopus-indexed publications. We queried TITLE-ABS-KEY with deforest*, “forest cover loss,” “land-use change,” and “forest conversion,” limited to research articles and reviews. Descriptive indicators (annual output and citations; most productive journals, authors, institutions, and countries) were computed with bibliometrix (R), while VOSviewer 1.6.19 generated keyword co-occurrence, co-authorship, and co-citation networks. A geographic subset focusing on Indonesia, particularly East Kalimantan and the Nusantara Capital City (IKN), was examined to connect global patterns with a salient national case. Results show a clear increase in publication volume across the decade and a stable thematic structure organized around four clusters: (1) drivers of forest loss (oil-palm expansion, fires, peat degradation), (2) ecological and climatic impacts (biodiversity loss, carbon emissions), (3) governance (moratoria, law enforcement, supply-chain commitments), and (4) methods (remote sensing, spatial modeling). Overlay analyses indicate rising salience after 2020 of restoration, ecosystem-service valuation, and IKN as an emerging topic. The IKN case underscores trade-offs among development, habitat integrity (e.g., orangutan and proboscis monkey), carbon stocks, and local livelihoods. We identify research gaps in environmental economics, notably the valuation of ecosystem services, incorporation of the social cost of carbon, and rigorous policy evaluation, and highlight the need for credible enforcement, secure tenure, evidence-based spatial planning, and integrated MRV systems. The study contributes a transparent, replicable map of the field to inform research prioritization and policy design; limitations relate to database coverage and keyword standardization.
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