Density Estimates of Harbour Porpoises Phocoena Phocoena at Eight Coastal Sites in Ireland

2014 ◽  
Vol 114B (1) ◽  
pp. 19 ◽  
Author(s):  
Berrow ◽  
Hickey ◽  
O'Connor ◽  
McGrath
2014 ◽  
Vol 114B (1) ◽  
pp. 19-34
Author(s):  
Simon Berrow ◽  
Ronan Hickey ◽  
Ian O'Connor ◽  
David McGrath

2014 ◽  
Vol 40 (4) ◽  
pp. 394-397 ◽  
Author(s):  
Lonneke L. IJsseldijk ◽  
Andrea Gröne ◽  
Sjoukje Hiemstra ◽  
Jeroen Hoekendijk ◽  
Lineke Begeman

2008 ◽  
Vol 34 (1) ◽  
pp. 1-8 ◽  
Author(s):  
David T. Schofield ◽  
Greg Early ◽  
Frederick W. Wenzel ◽  
Keith Matassa ◽  
Cindi Perry ◽  
...  

2019 ◽  
Vol 45 (4) ◽  
pp. 398-410 ◽  
Author(s):  
Ronald A. Kastelein ◽  
Léonie A. E. Huijser ◽  
Suzanne Cornelisse ◽  
Lean Helder-Hoek ◽  
Nancy Jennings ◽  
...  

2019 ◽  
Vol 45 (4) ◽  
pp. 359-366
Author(s):  
Ronald A. Kastelein ◽  
Michael A. Ainslie ◽  
Ruby van Kester

2015 ◽  
Vol 41 (2) ◽  
pp. 188-191 ◽  
Author(s):  
Thomas Stringell ◽  
Dave Hill ◽  
Dafydd Rees ◽  
Ffion Rees ◽  
Padrig Rees ◽  
...  

2021 ◽  
Vol 13 (6) ◽  
pp. 1102
Author(s):  
Julia Witczuk ◽  
Stanisław Pagacz

The rapidly developing technology of unmanned aerial vehicles (drones) extends to the availability of aerial surveys for wildlife research and management. However, regulations limiting drone operations to visual line of sight (VLOS) seriously affect the design of surveys, as flight paths must be concentrated within small sampling blocks. Such a design is inferior to spatially unrestricted randomized designs available if operations beyond visual line of sight (BVLOS) are allowed. We used computer simulations to assess whether the VLOS rule affects the accuracy and precision of wildlife density estimates derived from drone collected data. We tested two alternative flight plans (VLOS vs. BVLOS) in simulated surveys of low-, medium- and high-density populations of a hypothetical ungulate species with three levels of effort (one to three repetitions). The population density was estimated using the ratio estimate and distance sampling method. The observed differences in the accuracy and precision of estimates from the VLOS and BVLOS surveys were relatively small and negligible. Only in the case of the low-density population (2 ind./100 ha) surveyed once was the VLOS design inferior to BVLOS, delivering biased and less precise estimates. These results show that while the VLOS regulations complicate survey logistics and interfere with random survey design, the quality of derived estimates does not have to be compromised. We advise testing alternative survey variants with the aid of computer simulations to achieve reliable estimates while minimizing survey costs.


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