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Full-Text Articles in Life Sciences
Technoscience And The Modernization Of Freshwater Fisheries Assessment And Management, S. J. Cooke, M. F. Docker, N. E. Mandrak, N. Young, D. D. Heath, K. M. Jeffries, A. Howarth, J. W. Brownscombe, J. Livernois, C. A.D. Semeniuk, P. A. Venturelli, A. J. Danylchuk, R. J. Lennox, I. Jarić, A. T. Fisk, C. S. Vandergoot, J. R. Britton, A. M. Muir
Technoscience And The Modernization Of Freshwater Fisheries Assessment And Management, S. J. Cooke, M. F. Docker, N. E. Mandrak, N. Young, D. D. Heath, K. M. Jeffries, A. Howarth, J. W. Brownscombe, J. Livernois, C. A.D. Semeniuk, P. A. Venturelli, A. J. Danylchuk, R. J. Lennox, I. Jarić, A. T. Fisk, C. S. Vandergoot, J. R. Britton, A. M. Muir
Great Lakes Institute for Environmental Research Publications
Inland fisheries assessment and management are challenging given the inherent complexity of working in diverse habitats (e.g., rivers, lakes, wetlands) that are dynamic on organisms that are often cryptic and where fishers are often highly mobile. Yet, technoscience is offering new tools that have the potential to reimagine how inland fisheries are assessed and managed. So-called “technoscience” refers to instances in which science and technology unfurl together, offering novel ways of spurring and achieving meaningful change. This paper considers the role of technoscience and its potential for modernizing the assessment and management of inland fisheries. It first explores technoscience and …
Integrating Complementary Methods To Improve Diet Analysis In Fishery-Targeted Species, Jordan K. Matley, Gregory E. Maes, Floriaan Devloo-Delva, Roger Huerlimann, Gladys Chua, Andrew J. Tobin, Aaron T. Fisk, Colin A. Simpfendorfer, Michelle R. Heupel
Integrating Complementary Methods To Improve Diet Analysis In Fishery-Targeted Species, Jordan K. Matley, Gregory E. Maes, Floriaan Devloo-Delva, Roger Huerlimann, Gladys Chua, Andrew J. Tobin, Aaron T. Fisk, Colin A. Simpfendorfer, Michelle R. Heupel
Great Lakes Institute for Environmental Research Publications
Developing efficient, reliable, cost-effective ways to identify diet is required to understand trophic ecology in complex ecosystems and improve food web models. A combination of techniques, each varying in their ability to provide robust, spatially and temporally explicit information can be applied to clarify diet data for ecological research. This study applied an integrative analysis of a fishery-targeted species group—Plectropomus spp. in the central Great Barrier Reef, Australia, by comparing three diet-identification approaches. Visual stomach content analysis provided poor identification with ~14% of stomachs sampled resulting in identification to family or lower. A molecular approach was successful with prey from …