Thode Aaron M, Blackwell Susanna B, Conrad Alexander S, Kim Katherine H, Michael Macrander A
Marine Physical Laboratory, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California 92093-0238, USA.
Greeneridge Sciences, Inc., 90 Arnold Place, Suite D, Santa Barbara, California 93117, USA.
J Acoust Soc Am. 2017 Sep;142(3):1482. doi: 10.1121/1.5001064.
Automated and manual acoustic localizations of bowhead whale calls in the Beaufort Sea were used to estimate the minimum frequency attained by their highly variable FM-modulated call repertoire during seven westerly fall migrations. Analyses of 13 355 manual and 100 009 automated call localizations found that between 2008 and 2014 the proportion of calls that dipped below 75 Hz increased from 27% to 41%, shifting the mean value of the minimum frequency distribution from 94 to 84 Hz. Multivariate regression analyses using both generalized linear models and generalized estimating equations found that this frequency shift persisted even when accounting for ten other factors, including calling depth, call range, call type, noise level, signal-to-noise ratio, local water depth (site), airgun activity, and call spatial density. No single call type was responsible for the observed shift, but so-called "complex" calls experienced larger percentage downward shifts. By contrast, the call source level distribution remained stable over the same period. The observed frequency shift also could not be explained by migration corridor shifts, relative changes in call detectability between different frequency bands, long-term degradation in the automated airgun detector, physiological growth in the population, or behavioral responses to increasing population density (estimated via call density).
在波弗特海,对弓头鲸叫声进行了自动和人工声学定位,以估计其在七次秋季西向迁徙过程中高度可变的调频叫声曲目中达到的最低频率。对13355次人工和100009次自动叫声定位的分析发现,在2008年至2014年期间,频率低于75赫兹的叫声比例从27%增加到41%,使最低频率分布的平均值从94赫兹变为84赫兹。使用广义线性模型和广义估计方程进行的多变量回归分析发现,即使考虑到其他十个因素,包括叫声深度、叫声范围、叫声类型、噪声水平、信噪比、当地水深(地点)、气枪活动和叫声空间密度,这种频率变化仍然存在。观察到的频率变化并非由单一叫声类型导致,但所谓的“复杂”叫声的下降幅度更大。相比之下,同期叫声源级分布保持稳定。观察到的频率变化也无法用迁徙路线变化、不同频段叫声可探测性的相对变化、自动气枪探测器的长期退化、种群的生理生长或对种群密度增加的行为反应(通过叫声密度估计)来解释。