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Sampling period, size and duration influence measures of bat species richness from acoustic surveys
Article first published online: 4 JAN 2012
© 2012 The Authors. Methods in Ecology and Evolution © 2012 British Ecological Society
Methods in Ecology and Evolution
Volume 3, Issue 3, pages 490–502, June 2012
How to Cite
Skalak, S. L., Sherwin, R. E. and Brigham, R. M. (2012), Sampling period, size and duration influence measures of bat species richness from acoustic surveys. Methods in Ecology and Evolution, 3: 490–502. doi: 10.1111/j.2041-210X.2011.00177.x
Correspondence site: http://www.respond2articles.com/MEE/
- Issue published online: 7 JUN 2012
- Article first published online: 4 JAN 2012
- Received 25 July 2011; accepted 11 November 2011 Handling Editor: Robert Freckleton
- accumulation curves;
- bat activity;
- species richness;
- survey design;
- survey period
1. Understanding animal ecology depends on an ability to accurately inventory species. However, there are few quantitative data available, which allow for an assessment of the effectiveness of acoustic sampling methods for determining bat species richness.
2. We assessed inventory efficiency, defined as the percentage of species detected per survey effort, using data from 7 to 9 Anabat bat detectors deployed concurrently between June 2008 and August 2009 at fixed locations. We examined sampling period and time of night to calculate the minimum duration of sampling effort required to detect the greatest percentage of species.
3. In all cases, multiple survey nights at multiple sampling locations were necessary to detect higher levels of species richness using acoustic detectors. Additionally, continuous sampling throughout the night was important for detecting more species, especially during summer, fall and spring months.
4. Species accumulation curves indicated that relatively few nights were needed to detect ‘common’ species at various sampling locations (2–5 nights on average); however, longer sample periods (>45 nights) were necessary to detect ‘rare’ species at some sampling locations. Accumulation curves indicated that the number of detector locations positively influenced the number of species detected during surveys periods.
5. A priori knowledge of sampling effort is fundamental for designing biologically robust inventories. We make recommendations for improving the efficiency of acoustic surveys using analytical methods that are broadly applicable to a range of survey methods and taxa.