Revealing uncertainty in the status of biodiversity change
Most Cited Paper
in Ecology and Vegetation Dynamics Studies
18 Months Post-Publication
Class of 2026
“Revealing uncertainty in the status of biodiversity change”
A research intelligence initiative by Pepkio
pri.pepkio.com/top-papers/ecology-and-vegetation-dynamics-studies/2026/
Topics
biodiversity time-series datasets · abundance trends · spatial structure · temporal structure · phylogenetic structure · trend uncertainty · credible intervals · Hierarchical modelling · spatial autocorrelation · temporal autocorrelation · phylogenetic non-independence · local-scale prediction · Biodiversity change · conservation policy scales · trend misestimation · adaptive conservation
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Ecology and Vegetation Dynamics Studies Papers, Class of 2026. https://pri.pepkio.com/top-papers/ecology-and-vegetation-dynamics-studies/2026. Accessed 2026-07-21. Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459