Abstract

Monitoring fish species populations in very turbid environments is challenging. Acoustic cameras allow work in very poor visibility but are often deployed as a fixed observation point, limiting the scope of the survey. A BlueView P900-130 acoustic camera was deployed in rocky marine habitats off the coast of French Guiana in order to assess the total abundance, size structure and spatial distribution of a demersal fish population. The relevancy of using an acoustic camera to achieve these three objectives was evaluated by comparing acoustic data to those obtained from fishing surveys. The detection and identification of large demersal fish species were possible with the shape and size of the acoustic signal and acoustic shadow silhouette as well as swimming behavior. Mobile surveys combined with stationary surveys increased the probability of distinguishing individuals from inanimate objects. Estimated total length based on the acoustic signal underestimated the actual length of fish measured on deck, but the data showed the same trends in spatial and temporal variation. Acoustic cameras overcame the extreme lack of visibility by increasing knowledge of fish use of habitat, therefore providing much more efficiency in the effort, more accurate data on the abundance, size structure and spatial distribution than the fishing method. Thus, despite few limitations, acoustic camera surveys are far superior to fishing surveys in evaluating large demersal fish stock status.

Highlights

  • Traditional methods used to study fish distribution and abundance generally require direct interaction with fishes in their natural environment [1]

  • The objective of this study was to evaluate the reliability of the P900-130 BlueView acoustic camera to study fish population ecology, including identification, abundance, spatial distribution and size structure in extreme turbid conditions in order to apply this methodology for annual fish population survey

  • Adding to morphological criteria of the acoustic signal and the silhouette of the acoustic shadow, other parameters could be considered in identifying species, such as (1)

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Summary

Introduction

Traditional methods used to study fish distribution and abundance generally require direct interaction with fishes in their natural environment [1]. Such methods include direct visual or video assessments or various types of fishing. In highly turbid waters where visibility is low or absent, visual and video methods are ineffective [4]. Various fishing methods are typically highly variable and uncertain because results depend on the behavior of fish [5]. Fishing methods may be intrusive, hurting or killing fish. The most reliable methods are non-intrusiveness visual/video methods, but low visibility severely constrains such methods

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