| Autor: |
Daniel M. Palacios, Helen Bailey, Elizabeth A. Becker, Steven J. Bograd, Monica L. DeAngelis, Karin A. Forney, Elliott L. Hazen, Ladd M. Irvine, Bruce R. Mate |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
Movement Ecology, Vol 7, Iss 1, Pp 1-21 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
2051-3933 |
| DOI: |
10.1186/s40462-019-0164-6 |
| Popis: |
Abstract Background Species distribution models have shown that blue whales (Balaenoptera musculus) occur seasonally in high densities in the most biologically productive regions of the California Current Ecosystem (CCE). Satellite telemetry studies have additionally shown that blue whales in the CCE regularly switch between behavioral states consistent with area-restricted searching (ARS) and transiting, indicative of foraging in and moving among prey patches, respectively. However, the relationship between the environmental correlates that serve as a proxy of prey relative to blue whale movement behavior has not been quantitatively assessed. Methods We investigated the association between blue whale behavioral state and environmental predictors in the coastal environments of the CCE using a long-term satellite tracking data set (72 tagged whales; summer-fall months 1998–2008), and predicted the likelihood of ARS behavior at tracked locations using nonparametric multiplicative regression models. The models were built using data from years of cool, productive conditions and validated against years of warm, low-productivity conditions. Results The best model contained four predictors: chlorophyll-a, sea surface temperature, and seafloor aspect and depth. This model estimated highest ARS likelihood (> 0.8) in areas with high chlorophyll-a levels (> 0.65 mg/m3), intermediate sea surface temperatures (11.6-17.5 °C), and shallow depths ( |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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