|
|
|
|
| |
|
|
| Stephenson, Fabrice; Goetz, Kimberly; Sharp, Ben R.; Mouton, Theophile; Beets, Fenna L.; Roberts, Jim; Macdiarmid, Alison B.; Constantine, Rochelle; Lundquist, Carolyn J.; Sarmento Cabral, Juliano. |
| Aim Cetaceans are inherently difficult to study due to their elusive, pelagic and often highly migratory nature. New Zealand waters are home to 50% of the world's cetacean species, but their spatial distributions are poorly known. Here, we model distributions of 30 cetacean taxa using an extensive at‐sea sightings dataset (n > 14,000) and high‐resolution (1 km2) environmental data layers. Location New Zealand's Exclusive Economic Zone (EEZ). Methods Two models were used to predict probability of species occurrence based on available sightings records. For taxa with <50 sightings (n = 15), Relative Environmental Suitability (RES), and for taxa with ≥50 sightings (n = 15), Boosted Regression Tree (BRT) models were used. Independently collected... |
| Tipo: Text |
Palavras-chave: Boosted regression tree models; Cetacean distribution; New Zealand; Relative environmental suitability models; Spatial management; Species distribution models. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00606/71827/70345.pdf |
| |
|
|
|
