Application of Machine Learning Algorithms to Identify Cryptic Reproductive Habitats Using Diverse Information Sources
Brownscombe, J.
W.,
Griffin, L.
P.,
Morley, D.
,
Acosta, A.
,
Hunt, J.
,
Lowerre-barbieri, S.
K.,
Adams, A.
J.,
Danylchuk, A.
J.,
Cooke, S.
J..
https://doi.org/10.1007/s00442-020-04753-2
| Journal | Oecologia |
|---|---|
| Authors | Brownscombe, J. W., Griffin, L. P., Morley, D. , Acosta, A. , Hunt, J. , Lowerre-barbieri, S. K., Adams, A. J., Danylchuk, A. J., Cooke, S. J. |
| Year | 2020 |
| FAO Regions | Atlantic, Western Central |
Technical Details
| Extent | Large-Scale ? |
|---|---|
| Tracking Type | Stationary ? |
| Array Resolution | Broad-scale ? |
| Tag Sensor | Acceleration ? |
Species
| Scientific Name | Common Name | Life Stage | Total Tagged | Min Length (cm) | Max Length (cm) | Mean Length (cm) | Sensors |
|---|---|---|---|---|---|---|---|
| Trachinotus falcatus | Permit | juvenile; adult | 112 | 47 | 97 | 68 | Acceleration |