Table 3 Candidate environmental predictors used for the habitat-based density modelling.
Variables used in the study with abbreviations and units | Original Resolution | Sources | Effects on pelagic ecosystems of potential interest to deep-divers |
|---|---|---|---|
Static | |||
Depth (m) | 15 arc sec | A | Deep-divers feed on squids and fish in the deep-water column |
Slope (°) | 15 arc sec | A | Associated with currents, high slopes induce prey aggregation or enhanced primary production |
Roughness (m) – | 15 arc sec | A | A high roughness indicates an important escarpment and a greater richness in prey |
Surface of canyons – CanArea (km2) | 15 arc sec | B | Deep-divers are often associated with canyons and seamounts structures |
Dynamic | |||
Mean and standard deviation of temperature – mTd1-d2 and sdTd1-d2 (°C) | 0.083°, daily | C | Variability over time and horizontal gradients of temperatures reveal front locations, potentially associated with prey aggregation or enhanced primary production |
Mean and standard deviation of gradients of temperatures – mGrTd1-d2 and sdGrTd1-d2 (°C) | 0.083°, daily | C | |
Mean and standard deviation of eddy kinetic energy – mEKEd1-d2 and sdEKE 1-d2 (m2.s-2) | 0.083°, daily | C | High EKE relates to the development of eddies and sediment resuspension inducing prey aggregation |