Seismic Surveys Negatively Affect Humpback Whale Singing Activity off Northern Angola
| Autor: | Samantha Strindberg, Chanda Bennett, Tim Collins, Howard C. Rosenbaum, Salvatore Cerchio |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Male
Passive acoustic monitoring Oceanography Humpback whale Marine Conservation Behavioral Ecology Oceans Atlantic Ocean Conservation Science Humpback Whale Multidisciplinary biology Ecology Animal Behavior Physics Data Collection Seismic survey Classical Mechanics Blue Whales Mammalogy Medicine Female Seasons Singing Research Article Science Marine Biology Marine Monitoring medicine Animals Diel vertical migration Biology Evolutionary Biology Models Statistical Single pulse Acoustics Seasonality medicine.disease biology.organism_classification Marine Environments Marine and aquatic sciences Earth sciences Angola Physical geography Ocean Properties Vocalization Animal Noise Zoology Environmental Protection Environmental Sciences Ecological Environments |
| Zdroj: | PLoS ONE PLoS ONE, Vol 9, Iss 3, p e86464 (2014) |
| ISSN: | 1932-6203 |
| Popis: | Passive acoustic monitoring was used to document the presence of singing humpback whales off the coast of Northern Angola, and opportunistically test for the effect of seismic survey activity in the vicinity on the number of singing whales. Two Marine Autonomous Recording Units (MARUs) were deployed between March and December 2008 in the offshore environment. Song was first heard in mid June and continued through the remaining duration of the study. Seismic survey activity was heard regularly during two separate periods, consistently throughout July and intermittently in mid-October/November. Numbers of singers were counted during the first ten minutes of every hour for the period from 24 May to 1 December, and Generalized Additive Mixed Models (GAMMs) were used to assess the effect of survey day (seasonality), hour (diel variation), moon phase and received levels of seismic survey pulses (measured from a single pulse during each ten-minute sampled period) on singer number. Application of GAMMs indicated significant seasonal variation, which was the most pronounced effect when assessing the full dataset across the entire season (p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|