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Use of species distribution modeling in the deep sea Kenchington, E.; Callery, O.; Davidson, F.; Grehan, A.; Morato, T.; Appiott, J.; Davis, A.; Dunstan, P.K.; Du Preez, C.; Finney, J.; González-Irusta, J.M.; Howell, K.; Knudby, A.; Lacharité, M.; Lee, J.; Murillo, F.J.; Beazley, L.; Roberts, J.M.; Rooper, C.; Rowden, A.A.; Rubidge, E.; Stanley, R.; Little, D.C.; Tanaka, K.R.; Vanhatalo, J.; Weigel, B.; Woolley, S.; Yesson, C. (2019). Use of species distribution modeling in the deep sea. Canadian Technical Report of Fisheries and Aquatic Sciences = Rapport Technique Canadien des Sciences Halieutiques et Aquatiques, 3296. Her Majesty the Queen in Right of Canada: Ottawa. ISBN 978-0-660-29721-7. ix, 76 pp. Deel van: Canadian Technical Report of Fisheries and Aquatic Sciences = Rapport Technique Canadien des Sciences Halieutiques et Aquatiques. Dep. of Fisheries and Oceans. Resource Services Branch: Ottawa. ISSN 0706-6457; e-ISSN 0706-6570, meer

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Beschikbaar in	Auteurs
VLIZ: Non-open access 327773 [ aanvragen ]

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Kenchington, E. Callery, O. Davidson, F. Grehan, A. Morato, T. Appiott, J. Davis, A. Dunstan, P.K. Du Preez, C. Finney, J.	González-Irusta, J.M. Howell, K., meer Knudby, A. Lacharité, M. Lee, J. Murillo, F.J. Beazley, L. Roberts, J.M. Rooper, C.	Rowden, A.A. Rubidge, E. Stanley, R. Little, D.C. Tanaka, K.R. Vanhatalo, J. Weigel, B. Woolley, S. Yesson, C.

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Abstract

In the last two decades the use of species distribution modeling (SDM) for the study and management of marine species has increased dramatically. The availability of predictor variables on a global scale and the ease of use of SDM techniques have resulted in a proliferation of research on the topic of species distribution in the deep sea. Translation of research projects into management tools that can be used to make decisions in the face of changing climate and increasing exploitation of deep-sea resources has been less rapid but necessary. The goal of this workshop was to discuss methods and variables for modeling species distributions in deep-sea habitats and produce standards that can be used to judge SDMs that may be useful to meet management and conservation goals. During the workshop, approaches to modeling and environmental data were discussed and guidelines developed including the desire that 1) environmental variables should be chosen for ecological significance a priori; 2) the scale and accuracy of environmental data should be considered in choosing a modeling method; 3) when possible proxy variables such as depth should be avoided if causal variables are available; 4) models with statistically robust and rigorous outputs are preferred, but not always possible; and 5) model validation is important. Although general guidelines for SDMs were developed, in most cases management issues and objectives should be considered when designing a modeling project. In particular, the trade-off between model complexity and researcher’s ability to communicate input data, modeling method, results and uncertainty is an important consideration for the target audience.

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