Designing marine reserves with modelled species distributions: Bayesian abundance modelling of coral reef fishes

Beger, M., Wilcox, C. and Possingham, H. P. (2005). Designing marine reserves with modelled species distributions: Bayesian abundance modelling of coral reef fishes. In: IMPAC 1 2005: First International Marine Protected Areas Congress: Conference Proceedings. IMPAC 1 2005: First International Marine Protected Areas Congress, Geelong, Australia, (342-343). 23-27 October 2005.


Author Beger, M.
Wilcox, C.
Possingham, H. P.
Title of paper Designing marine reserves with modelled species distributions: Bayesian abundance modelling of coral reef fishes
Conference name IMPAC 1 2005: First International Marine Protected Areas Congress
Conference location Geelong, Australia
Conference dates 23-27 October 2005
Proceedings title IMPAC 1 2005: First International Marine Protected Areas Congress: Conference Proceedings
Publication Year 2005
Start page 342
End page 343
Total pages 2
Language eng
Abstract/Summary Modelled species distributions play and important role in conservation planning. In the marine realm however, available information on species occurrences and abundances is often spread over multiple datasets of varying quality. It is common practise to translate such data into presence/ absence data, ignoring information contained in abundance and repeat visit data, and to focus on a single dataset, ignoring other available information. This underutilisation of the available data leads to unnecessary uncertainties in predicted species distributions, which reduces the accuracy of conservation planning procedures. We present a model that overcomes these flaws in the species distribution modelling process. We integrate two data sets, one on abundance and the second on presence/ absence of coral reef fishes. The Bayesian species distribution model we develop integrates these two data sets, while estimating and accounting for observation errors. Our iterative approach to distribution modelling allows us to utilise all existing information on the distribution and abundance of each fish species, resulting in predictive models for both habitat suitability of reefs and species abundances on suitable reefs. We show how this analysis improves the planning of marine reserve networks
Subjects 0502 Environmental Science and Management
Keyword Modelled species distribution
Coral reef fishes
Bayesian abundance modelling
Marine reserves
Q-Index Code EX
Q-Index Status Provisional Code
Institutional Status Unknown

 
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Created: Wed, 03 Mar 2010, 14:30:04 EST by Michael Affleck on behalf of Faculty of Science