Abstract

Fish abundance and diversity are core measurements taken by many nearshore marine monitoring projects. The most common approaches for counting fish include belt transects and timed counts by roving divers, each with its own limitations. Here we evaluate a fish counting method developed by the Channel Islands National Park’s Kelp Forest Monitoring Program (KFMP), in which roving observers make fish counts that are standardized both by the time taken (30 min) and the area sampled (2000 m2). This method is potentially very useful because it combines an advantage of simple timed counts – the ability to rapidly sample a large area – with the potential to calculate area-specific density of fish, not just their relative abundance. However, the method has not been comprehensively evaluated and it is uncertain whether fish can effectively be counted in such a large target area within the allotted time. Fortunately, many sites surveyed with this method are also sampled with a more standard fish counting approach of belt transects, both by the KFMP and by the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO). Here we compare estimates of fish density obtained through the area-standardized roving diver method and belt transect methods. In paired samples we find substantial and species-specific differences in densities estimated by each method. Considering all fish taxa together we find that roving divers are likely under-sampling the target area. Despite considerable species-level variation, the different methods produce similar estimates of average diversity and find similar regional and temporal patterns in fish abundance, demonstrating that they can successfully be used in parallel even if the datasets cannot be easily combined. These analyses can guide the interpretation of roving diver data for basic research and management decisions.

Highlights

  • Long-term monitoring is a critical tool for the management of marine systems

  • In an attempt to find a compromise between the limitations of these different approaches, the Channel Islands National Park’s Kelp Forest Monitoring Program (KFMP) has been implementing a “roving diver fish count” that is standardized by both time and area

  • We address three key questions: (1) How do estimates of fish density and community structure generated by roving diver counts compare to estimates derived from transect-based counts? and (2) Does KFMP’s roving diver data perform to Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO)’s fish counts for detecting biogeographic and temporal abundance patterns in the region? The answers to these questions reveal the potential utility of timeand-area-standardized roving diver fish counts, and can help guide the analysis of monitoring data in the region

Read more

Summary

INTRODUCTION

Long-term monitoring is a critical tool for the management of marine systems. Monitoring data are often the only way to distinguish human impacts from natural variability, to detect changes in biodiversity over time, and to evaluate the performance of particular management strategies (Wolfe et al, 1987; Sukhotin and Berger, 2013; Mieszkowska et al, 2014; Reed et al, 2016). In an attempt to find a compromise between the limitations of these different approaches, the Channel Islands National Park’s Kelp Forest Monitoring Program (KFMP) has been implementing a “roving diver fish count” that is standardized by both time and area This method is essentially identical to a traditional timed count except that it takes place within a fixed area centered on a permanent 100 m long transect. We are not aware of comparable methods being used elsewhere, timed counts are sometimes interpreted as densities based on an assumed swim speed or the use of global positioning systems to estimate area searched (Beck et al, 2014) This method is potentially very powerful because it rapidly samples a large fixed area, it has potential limitations as well.

MATERIALS AND METHODS
RESULTS
DISCUSSION AND CONCLUSION
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call