Abstract:Passive acoustic monitoring is gaining popularity in ecology as a practical and non‐invasive approach to surveying ecosystems. This technique is increasingly being used to monitor terrestrial systems, particularly bird populations, given that it can help to track temporal dynamics of populations and ecosystem health without the need for expensive resampling. We suggest that underwater acoustic monitoring presents a viable, non‐invasive, and largely unexplored approach to monitoring freshwater ecosystems, yield… Show more
“…Passive acoustic techniques are increasingly used to survey aquatic ecosystems, yet their potential to monitor biogeochemical or ecological processes remain largely unexplored (Linke et al ). Here, we demonstrate through lab and field observations that shifts in the contribution of bubbles and turbulence to sound and k 600 coincide, and that sound spectral analysis can be used to estimate k 600 in running waters.…”
Air–water gas exchange velocities (k) are critical components of many biogeochemical and ecological process studies in aquatic systems. However, their high spatiotemporal variability is difficult to capture with traditional methods, especially in turbulent flow. Here, we investigate the potential of sound spectral analysis to infer k in running waters, based on the rationale that both turbulence and entrained bubbles drive gas exchange and cause a characteristic sound. We explored the relationship between k and sound spectral properties using laboratory experiments and field observations under a wide range of turbulence and bubble conditions. We estimated k using flux chamber measurements of CO2 exchange and recorded sound above and below the water surface by microphones and hydrophones, respectively. We found a strong influence of turbulence and bubbles on sound pressure levels (SPLs) at octave bands of 31.5 Hz and 1000 Hz, respectively. The difference in SPLs at these bands and background noise bands showed a linear correlation with k both in the laboratory (R2 = 0.93–0.99) and in the field (median R2 = 0.42–0.90). Underwater sound indices outperformed aerial sound indices in general, and indices based on hydraulic parameters in particular, in turbulent and bubbly surface flow. The results highlight the unique potential of acoustic techniques to predict k, isolate mechanisms, and improve the spatiotemporal coverage of k estimates in bubbly flow.
“…Passive acoustic techniques are increasingly used to survey aquatic ecosystems, yet their potential to monitor biogeochemical or ecological processes remain largely unexplored (Linke et al ). Here, we demonstrate through lab and field observations that shifts in the contribution of bubbles and turbulence to sound and k 600 coincide, and that sound spectral analysis can be used to estimate k 600 in running waters.…”
Air–water gas exchange velocities (k) are critical components of many biogeochemical and ecological process studies in aquatic systems. However, their high spatiotemporal variability is difficult to capture with traditional methods, especially in turbulent flow. Here, we investigate the potential of sound spectral analysis to infer k in running waters, based on the rationale that both turbulence and entrained bubbles drive gas exchange and cause a characteristic sound. We explored the relationship between k and sound spectral properties using laboratory experiments and field observations under a wide range of turbulence and bubble conditions. We estimated k using flux chamber measurements of CO2 exchange and recorded sound above and below the water surface by microphones and hydrophones, respectively. We found a strong influence of turbulence and bubbles on sound pressure levels (SPLs) at octave bands of 31.5 Hz and 1000 Hz, respectively. The difference in SPLs at these bands and background noise bands showed a linear correlation with k both in the laboratory (R2 = 0.93–0.99) and in the field (median R2 = 0.42–0.90). Underwater sound indices outperformed aerial sound indices in general, and indices based on hydraulic parameters in particular, in turbulent and bubbly surface flow. The results highlight the unique potential of acoustic techniques to predict k, isolate mechanisms, and improve the spatiotemporal coverage of k estimates in bubbly flow.
“…Recently, there has been a surge in interest in documenting noise impacts on freshwater ecosystems (Holt and Johnston 2015;Bolgan et al 2017;Linke et al 2018), but these are Table 1. Number of species reported to produce sounds by taxonomic order and family.…”
Section: How Can We Understand Anthropogenic Noise Impacts If We Don'mentioning
confidence: 99%
“…Scientists have learned to take advantage of this phenomenon to remotely locate and monitor fish activity by listening for the sounds fish make in order to produce spatial and temporal maps of the species and behavior (Rountree et al 2006;Luczkovich et al 2008). However, it has received less attention in freshwater habitats (Anderson et al 2008;Rountree and Juanes 2016;Linke et al 2018;Rountree et al in press). Today PAM has become a relatively popular tool used in a broad range of applications in behavior, fisheries, conservation, invasive species, and anthropogentic noise impacts studies (see reviews in Fish and Mowbray 1970;Rountree et al 2006;Cotter 2008;Gannon 2008;Luczkovich et al 2008;Mann et al 2008;Farina 2014).…”
The ecological importance of the freshwater soundscape is just beginning to be recognized by society. Scientists are beginning to apply Passive Acoustic Monitoring (PAM) methods that are well established in marine systems to freshwater systems to map spatial and temporal patterns of behaviors associated with fish sounds as well as noise impacts on them. Unfortunately, these efforts are greatly hampered by a critical lack of data on the sources of sounds that make up the soundscape of freshwater habitats. A review of the literature finds that only 87 freshwater species have been reported to produce sounds in North America and Europe over the last 200 years, accounting for 5% of the known freshwater fish diversity. The problem is exacerbated by the general failure of researchers to report the detailed statistical descriptions of fish sound characteristics that are necessary to develop PAM programs. We suggest that publishers and editors should do more to encourage reporting of statistical properties of fish sounds. In addition, we call for research, academic, and government agencies to develop regional libraries of fish sounds to aid in PAM and anthropogenic noise impact studies.
“…Passive acoustic monitoring is a non‐invasive technique that neither modifies the environment, nor disturbs animal behaviour. With the advent of autonomous and weather resistant recorders, long‐term PAM can be undertaken with reasonable efforts and costs (Blumstein et al., ; Linke, Gifford, et al., ).…”
Biodiversity in freshwater habitats is decreasing faster than in any other type of environment, mostly as a result of human activities. Monitoring these losses can help guide mitigation efforts. In most studies, sampling strategies predominantly rely on collecting animal and vegetal specimens. Although these techniques produce valuable data, they are invasive, time‐consuming and typically permit only limited spatial and temporal replication. There is need for the development of complementary methods.
As observed in other ecosystems, freshwater environments host animals that emit sounds, either to communicate or as a by‐product of their activity. The main freshwater soniferous groups are amphibians, fish, and macroinvertebrates (mainly Coleoptera and Hemiptera, but also some Decapoda, Odonata, and Trichoptera). Biophysical processes such as flow or sediment transport also produce sounds, as well as human activities within aquatic ecosystems.
Such animals and processes can be recorded, remotely and autonomously, and provide information on local diversity and ecosystem health. Passive acoustic monitoring (PAM) is an emerging method already deployed in terrestrial environments that uses sounds to survey environments. Key advantages of PAM are its non‐invasive nature, as well as its ability to record autonomously and over long timescales. All these research topics are the main aims of ecoacoustics, a new scientific discipline investigating the ecological role of sounds.
In this paper, we review the sources of sounds present in freshwater environments. We then underline areas of research in which PAM may be helpful emphasising the role of PAM for the development of ecoacoustics. Finally, we present methods used to record and analyse sounds in those environments.
Passive acoustics represents a potentially revolutionary development in freshwater ecology, enabling continuous monitoring of dynamic bio‐physical processes to inform conservation practitioners and managers.
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