College of Science & Engineering
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Predation risk as driving force for sexual segregation: A cross-population comparison.
Croft, D. P., Morrell, L. J., Wade, A. S., Piyapong, C., Ioannou, C. C., Dyer, J. R., Chapman, B. B., Womg, Y. & Krause, J., 1 Jan 2006, In: American Naturalist. 167, 6, p. 867-878Research output: Contribution to journal › Article › peer-review
- Published
Predator and scavenger aggregation to discarded by-catch from dredge fisheries: importance of damage level
Jenkins, S. R., Mullen, C. & Brand, A. R., 1 Feb 2004, In: Journal of Sea Research. 51, 1, p. 69-76Research output: Contribution to journal › Article › peer-review
- Published
Predator diversity and ecosystem functioning: Density modifies the effect of resource partitioning
Griffin, J. N., De la Haye, K. L., Hawkins, S. J., Thompson, R. C. & Jenkins, S. R., Feb 2008, In: Ecology. 89, 2, p. 298-305Research output: Contribution to journal › Article › peer-review
- Published
Predator-induced transgenerational plasticity in animals: a meta-analysis
MacLeod, K., Monestier, C., Ferrari, M., McGhee, K., Sheriff, M. & Bell, A., 1 Dec 2022, In: Oecologia. 200, 3-4, p. 371-383 13 p.Research output: Contribution to journal › Article › peer-review
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Predictable hydrodynamic conditions explain temporal variations in the density of benthic foraging seabirds in a tidal stream environment
Waggitt, J. J., Cazenave, P. W., Torres, R., Williamson, B. J. & Scott, B. E., Nov 2016, In: ICES Journal of Marine Science. 73, 10, p. 2677-2686Research output: Contribution to journal › Article › peer-review
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Predicted Deep-Sea Coral Habitat Suitability for the U.S. West Coast
Guinotte, J. M. & Davies, A. J., 23 Apr 2014, In: PLoS ONE. 9, 4Research output: Contribution to journal › Article › peer-review
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Predicting bedforms and primary current stratification in cohesive mixtures of mud and sand
Baas, J. H., Best, J. L. & Peakall, J., Jan 2016, In: Journal of the Geological Society. 173, 1, p. 12-45Research output: Contribution to journal › Article › peer-review
- Published
Predicting diurnal outdoor performance and degradation of organic photovoltaics via machine learning; relating degradation to outdoor stress conditions
David, T., Soares, G., Bristow, N., Bagnis, D. & Kettle, J., Dec 2021, In: Progress in Photovoltaics. 29, 12, p. 1274-1284Research output: Contribution to journal › Article › peer-review
- Published
Predicting function from sequence in a large multifunctional toxin family
Malhotra, A., Creer, S., Harris, J. B., Stöcklin, R., Favereau, P. & Thorpe, R. S., 3 Jul 2013, In: Toxicon. 72, p. 113-125Research output: Contribution to journal › Article › peer-review
- Published
Predicting impacts of climate-induced range expansion: an experimental framework and a test involving key grazers on temperate rocky shores.
Firth, L. B., Crowe, T. P., Moore, P., Thompson, R. C. & Hawkins, S. J., 1 Jun 2009, In: Global Change Biology. 15, 6, p. 1413-1422Research output: Contribution to journal › Article › peer-review