Please use this identifier to cite or link to this item:
|Title:||Monitoring marine populations and communities : methods dealing with imperfect detectability|
Doyle, Thomas K.
Boois, Ingeborg de
Giacalone, Vincenzo Maximiliano
Knight, Carolyn M.
Skjoldal, Hein Rune
|Keywords:||Marine biology -- Research|
Marine microbiology -- Research
Marine ecosystem management
|Citation:||Katsanevakis, S., Weber, A., Pipitone, C., Leopold, M., Cronin, M., Scheidat, M.,... Vöge, S. (2012). Monitoring marine populations and communities: methods dealing with imperfect detectability. Aquatic Biology, 16, 31-52.|
|Abstract:||Effective monitoring of populations and communities is a prerequisite for ecosystem based management of marine areas. However, monitoring programs often neglect important sources of error and thus can lead to biased estimates, spurious conclusions and false management actions. One such source of error is ‘imperfect detectability’, i.e. the inability of investigators to detect all individuals or all species in a surveyed area. Although there has been great effort to develop monitoring methods that account for imperfect detectability, the application of such methods in the marine environment is not as apparent as in other systems. Plot sampling is by far the most commonly applied method for biological monitoring in the marine environment, yet it largely ignores detectability issues. However, distance sampling, mark-recapture methods, repeated presence-absence surveys for occupancy estimation, and removal methods do estimate detection probabilities and provide unbiased estimates of state variables. We review these methods and the relevant tools for their application in studies on marine populations and communities, with the aim of assisting marine biologists and managers to understand the limitations and pitfalls associated with some approaches and to select the best available methods for their monitoring needs.|
|Appears in Collections:||Scholarly Works - FacSciBio|
Files in This Item:
|Katsanevakis et al. (2012).pdf||Main article||324.61 kB||Adobe PDF||View/Open|
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.