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Number of items: 4.

Analysis of benthic species abundance Environmental sensitivity to stressors Organic enrichment Physical disturbance Factorial data experiment Three-way correspondence analysis

Bayesian network Hidden variable Spatial autocorrelation Biomass prediction Functional network Trophic interaction

Trifonova, N, Kenny, A, Maxwell, D, Duplisea, D, Fernandes, JA and Tucker, A 2015 Spatio-temporal Bayesian network models with latent variables for revealing trophic dynamics and functional networks in fisheries ecology. Ecological Informatics, 30. 142-158. https://doi.org/10.1016/j.ecoinf.2015.10.003

Pacific oysters Internal variability Climate change CMIP6

Pacific oysters Invasive species Convolutional neural networks Deep learning Drone Remote sensing Ecological management

Mata, A, Moffat, D, Almeida, S, Radeta, M, Jay, W, Mortimer, N, Awty-Carroll, K, Thomas, OR, Brotas, V and Groom, SB 2024 Drone imagery and deep learning for mapping the density of wild Pacific oysters to manage their expansion into protected areas. Ecological Informatics, 82. 1-12. https://doi.org/10.1016/j.ecoinf.2024.102708

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