ORCID
- K. L. Howell: 0000-0003-3359-1778
- W. A.M. Nimmo-Smith: 0000-0003-3108-9231
Abstract
Biophysical models are well-used tools for predicting the dispersal of marine larvae. Larval behavior has been shown to influence dispersal, but how to incorporate behavior effectively within dispersal models remains a challenge. Mechanisms of behavior are often derived from laboratory-based studies and therefore, may not reflect behavior in situ. Here, using state-of-the-art models, we explore the movements that larvae must undertake to achieve the vertical distribution patterns observed in nature. Results suggest that behaviors are not consistent with those described under the tidally synchronized vertical migration (TVM) hypothesis. Instead, we show (i) a need for swimming speed and direction to vary over the tidal cycle and (ii) that, in some instances, larval swimming cannot explain observed vertical patterns. We argue that current methods of behavioral parameterization are limited in their capacity to replicate in situ observations of vertical distribution, which may cause dispersal error to propagate over time, due to advective differences over depth and demonstrate an alternative to laboratory-based behavioral parameterization that encompasses the range of environmental cues that may be acting on planktic organisms.
DOI
10.1073/pnas.1900238116
Publication Date
2019-06-11
Publication Title
Proceedings of the National Academy of Sciences of the United States of America
Volume
116
Issue
24
ISSN
0027-8424
Keywords
Biophysical modeling, Larval behavior, Larval swimming, Reverse engineering, Vertical migration
First Page
11818
Last Page
11823
Recommended Citation
James, M., Polton, J., Brereton, A., Howell, K., Nimmo-Smith, W., & Knights, A. (2019) 'Reverse engineering field-derived vertical distribution profiles to infer larval swimming behaviors', Proceedings of the National Academy of Sciences of the United States of America, 116(24), pp. 11818-11823. Available at: https://doi.org/10.1073/pnas.1900238116