College of Science & Engineering
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Predicting leaf traits of temperate broadleaf deciduous trees from hyperspectral reflectance: can a general model be applied across a growing season?
Chen, L., Zhang, Y., Nunes, M. H., Stoddart, J., Khoury, S., Chan, A. H. Y. & Coomes, D. A., 1 Feb 2022, In: Remote Sensing of Environment. 112767.Research output: Contribution to journal › Article › peer-review
- Published
Predicting potential spawning areas of European bass, Dicentrarchus labrax, in the Irish and Celtic Seas
Lincoln, H., Robins, P., Wilmes, S-B., Pérez-Mayol, S., Moore, A., Simpson, S., Goward Brown, A., Heney, C., Malham, S., Morales-Nin, B., Hold, N. & McCarthy, I., 1 Feb 2024, In: Fisheries Research. 270, 106884.Research output: Contribution to journal › Article › peer-review
- Published
Predicting species response to disturbance from size class distributions of adults and saplings in a Jamaican tropical dry forest.
McLaren, K. P., McDonald, M. A., Hall, J. B. & Healey, J. R., 1 Nov 2005, In: Plant Ecology. 181, 1, p. 69-84Research output: Contribution to journal › Article › peer-review
- Published
Predicting suitability of cockle Austrovenus stutchburyi restoration sites using hydrodynamic models of larval dispersal
Lundquist, C. J., Oldman, J. W. & Lewis, M. J., 6 Mar 2009, In: New Zealand Journal of Marine and Freshwater Research. 43, 3, p. 735-748Research output: Contribution to journal › Article › peer-review
- Published
Predicting suitable habitat for the cold-water coral Lophelia pertusa (Scleractinia)
Davies, A., Wisshak, M., Orr, J. C. & Roberts, J. M., Aug 2008, In: Deep Sea Research Part I: Oceanographic Research Papers. 55, 8, p. 1048-1062Research output: Contribution to journal › Article › peer-review
- Published
Predicting the dispersal of SARS-CoV-2 RNA from the wastewater treatment plant to the coast
Robins, P., Dickson, N., Kevill, J., Malham, S., Singer, A., Quilliam, R. & Jones, D. L., Sept 2022, In: Heliyon. 8, 9, E10547.Research output: Contribution to journal › Article › peer-review
- Published
Predicting the dispersal of wild Pacific oysters Crassostrea gigas (Thunberg, 1793) from an existing frontier population—a numerical study
Robins, P., King, J., Jenkins, S. & Tita, A., 2017, In: Aquatic Invasions. 12, 2, p. 117-131Research output: Contribution to journal › Article › peer-review
- Published
Predicting the distribution of a portunid crab in Patagonian coastal waters
de la Barra, P., Svendsen, G., Romero, M. A., Avaca, M. S. & Narvarte, M., 19 Mar 2020, In: Marine Ecology Progress Series. 638, p. 95-105Research output: Contribution to journal › Article › peer-review
- Published
Predicting the distribution of vulnerable marine ecosystems in the deep sea using presence-background models
Vierod, A. D., Guinotte, J. M. & Davies, A. J., Jan 2014, In: Deep Sea Research Part II: Topical Studies in Oceanography. 99, p. 6-18Research output: Contribution to journal › Article › peer-review
- Published
Predicting the effects of area closures and fishing effort restrictions on the production, biomass, and species richness of benthic invertebrate communities
Hiddink, J. G., Hutton, T., Jennings, S. & Kaiser, M. J., 1 Jun 2006, In: ICES Journal of Marine Science. 63, 5, p. 822-830Research output: Contribution to journal › Article › peer-review