[MARMAM] Viewpoint on Temporal Resolutions in Species Distribution Models of Highly Mobile Marine Animals

Laura Mannocci, Ph.D. laura.mannocci at duke.edu
Thu Sep 14 08:29:17 PDT 2017


Dear all,


We are delighted to announce the publication of our paper as a Biodiversity Viewpoint in Diversity and Distributions.


Title: Temporal Resolutions in Species Distribution Models of Highly Mobile Marine Animals: Recommendations for Ecologists and Managers.


Authors: Laura Mannocci, Andre M. Boustany, Jason J. Roberts, Daniel M. Palacios, Daniel C. Dunn, Patrick N. Halpin, Shay Viehman, Jerry Moxley, Jesse Cleary, Helen Bailey, Steven J. Bograd, Elizabeth A. Becker, Beth Gardner, Jason R. Hartog, Elliott L.Hazen, Megan C. Ferguson, Karin A. Forney, Brian P. Kinlan, Matthew J. Oliver, Charles T. Perretti, Vincent Ridoux, Steven L. H. Teo, Arliss J. Winship.

Abstract: While ecologists have long recognized the influence of spatial resolution on species distribution models (SDMs), they have given relatively little attention to the influence of temporal resolution. Considering temporal resolutions is critical in distribution modelling of highly mobile marine animals, as they interact with dynamic oceanographic processes that vary at time-scales from seconds to decades. We guide ecologists in selecting temporal resolutions that best match ecological questions and ecosystems, and managers in applying these models. We group the temporal resolutions of environmental variables used in SDMs into three classes: instantaneous, contemporaneous and climatological. We posit that animal associations with fine-scale and ephemeral features are best modelled with instantaneous covariates. Associations with large scale and persistent oceanographic features are best modelled with climatological covariates. Associations with mesoscale features are best modelled with instantaneous or contemporaneous covariates if ephemeral processes are present or interannual variability occurs, and climatological covariates if seasonal processes dominate and interannual variability is weak.


This article is the outcome of a workshop that brought together 23 international experts at Duke University in December 2014.

The paper can be downloaded at http://onlinelibrary.wiley.com/doi/10.1111/ddi.12609/full

If you do not have full subscription to the journal I'll be happy to email the paper to you.

All the best,

Laura Mannocci (laura.mannocci at duke.edu)
Postdoctoral Associate
Duke University Marine Geospatial Ecology Laboratory
https://mgel.env.duke.edu/people/laura-mannocci/



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