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. 2013;8(1):e52542.
doi: 10.1371/journal.pone.0052542. Epub 2013 Jan 9.

Density can be misleading for low-density species: benefits of passive acoustic monitoring

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Density can be misleading for low-density species: benefits of passive acoustic monitoring

Tracey L Rogers et al. PLoS One. 2013.

Abstract

Climate-induced changes may be more substantial within the marine environment, where following ecological change is logistically difficult, and typically expensive. As marine animals tend to produce stereotyped, long-range signals, they are ideal for repeatable surveying. In this study we illustrate the potential for calling rates to be used as a tool for determining habitat quality by using an Antarctic pack-ice seal, the leopard seal, as a model.With an understanding of the vocal behavior of a species, their seasonal and diurnal patterns, sex and age-related differences, an underwater passive-acoustic survey conducted alongside a visual survey in an arc of 4,225 km across the Davis Sea, Eastern Antarctica, showed that while acoustic and visual surveys identified similar regions as having high densities, the acoustic surveys surprisingly identified the opposite regions as being 'critical' habitats. Density surveys of species that cannot be differentiated into population classes may be misleading because overall density can be a negative indicator of habitat quality.Under special circumstances acoustics can offer enormous advantage over traditional techniques and open up monitoring to regions that are remote, difficult and expensive to work within, no longer restricting long-term community assessment to resource-wealthy communities. As climatic change affects a broad range of organisms across geographic boundaries we propose that capitalizing on the significant advances in passive acoustic technology, alongside physical acoustics and population modeling, can help in addressing ecological questions more broadly.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Sampling location site.
(A) The red box identifies the area across the Davis Sea, Eastern Antarctica, over which the study was conducted; (B) A close up of the area identified in (A).The Red markers denote the positions of the 101 sites where 30-minute underwater passive-acoustic recordings were made from 4 December to 10 January of the following year within the pack ice between 64°31′S, 149°31′E and 67°17′S, 62°42′E within the Davis Sea, Eastern Antarctica. Maps courtesy of Google™ earth.
Figure 2
Figure 2. Spatial distribution of seals.
The spatial pattern of leopard seals as inferred from the calling patterns in 30-minute underwater acoustic recordings made at 101 sites within the pack ice between 64°31′S, 149°31′E and 67°17′S, 62°42′E within the Davis Sea, Eastern Antarctica (Figure 1A) from 4 December to 10 January of the following year: (A) Density of seals: white = <2 seals/km2; red = >2 seals/km2. (B) Age Class: white = more sub-adult than adult calls counted; orange = equal number of adult and sub-adult calls; and red = the presence of more adult calls than sub-adult calls; all maps courtesy of Google™earth.
Figure 3
Figure 3. Influence of age class.
Plots of the mean and 95% confidence intervals of the influence of age-class on: (A) the number of L calls in 30-minute underwater acoustic recordings; and (B) the density of seals (seals/km2) predicted from the number of calls at each recording site within the Davis Sea pack ice (n = 101). Adults = mostly adults; Both = adults and sub-adults; and Sub-adults = mostly sub-adults.

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