Borges, P.A.V.Nunes Morgado, LeilaGabriel, RosalinaPires Bento da Silva Elias, Rui MiguelGauche, MiharisoaAh-Peng, ClaudineOtto, Rüdigerde Nascimento, LeaStrasberg, DominiqueGuerrero-Ramírez. NathalyKreft, HolgerFernández-Palacios, José MaríaSoares, António2026-01-222026-01-222025-06-23Borges, P. A. V., Morgado, L. N., Gabriel, R., Elias, R. B., Gauche, M., Ah‑Peng, C., Otto, R., de Nascimento, L., Strasberg, D., Guerrero‑Ramírez, N., Kreft, H., & Fernández‑Palacios, J. M. (2025). Integrating plot-based methods for monitoring biodiversity in island habitats under the scope of BIODIVERSA+ project BioMonI: Tree monitoring in Terceira, Tenerife and Réunion Islands. Biodiversity Data Journal, 13, e158423. DOI:10.3897/BDJ.13.e1584231314-2836http://hdl.handle.net/10400.3/8791ABSTRACT: Oceanic islands are globally recognised for their exceptional levels of biodiversity and endemism, often resulting from unique evolutionary processes in isolated environments. However, this biodiversity is also disproportionately threatened by anthropogenic pressures including habitat loss, invasive species and climate change. Targeted, long-term biodiversity monitoring is essential for detecting changes in these vulnerable ecosystems and providing information for conservation strategies. The EU BIODIVERSA + project BioMonI aims at building a global long-term monitoring network specifically tailored to the pressing needs of biodiversity conservation and monitoring on islands. In BioMonI, we use a novel approach that considers mapping previous and current monitoring schemes on islands, developing a harmonised monitoring scheme for island biodiversity and mobilising existing monitoring data. We are assembling data from BioMonI-Plot, a long-term vegetation plot network to understand biodiversity and ecosystem change. It will use baseline data from three focal archipelagos (Azores, Canary Islands and Mascarenes), but we aim to mobilise data from archipelagos worldwide. Plot-based data are a cornerstone of effective biodiversity monitoring on islands. These standardised data collections within permanent plots allow for consistent, replicable observations across temporal and spatial scales. Initiatives like the Global Island Monitoring Scheme (GIMS) highlight the value of permanent plots in capturing ecological gradients and anthropogenic disturbance patterns. Such data underpin the detection of subtle shifts in community composition, functional diversity and species distributions, which are critical for assessing the effectiveness of conservation actions and predicting future ecological scenarios. In summary, plot-based data are indispensable for targeted and effective biodiversity monitoring on islands. They provide the empirical backbone necessary to provide information for adaptive management strategies and contribute to global biodiversity targets.porlocal plot-based monitoringnative forestoccurrenceRéunionTenerifeTerceirawoody plantsdata paper10.3897/BDJ.13.e1584231314-2828