Journal article
Dispersal connectivity and reserve selection for marine conservation
Ecological Modelling, Vol.222(7), pp.1272-1282
2011
Abstract
Although larval dispersal is crucial for the persistence of most marine populations, dispersal connectivity between sites is rarely considered in designing marine protected area networks. In particular the role of structural characteristics (known as topology) for the network of larval dispersal routes in the conservation of metapopulations has not been addressed. To determine reserve site configurations that provide highest persistence values with respect to their connectivity characteristics, we model nine connectivity topological models derived from graph theory in a demographic metapopulation model. We identify reserve site configurations that provide the highest persistence values for each of the metapopulation connectivity models. Except for the minimally connected and fully connected populations, we observed two general 'rules of thumb' for optimising the mean life time for all topological models: firstly place the majority of reserves, so that they are neighbours of each other, on the sites where the number of connections between the populations is highest (hub), secondly when the reserves have occupied the majority of the vertices in the hub, then select another area of high connectivity and repeat. If there are no suitable hubs remaining then distribute the remaining reserves to isolated locations optimising contact with non-reserved sites.
Details
- Title
- Dispersal connectivity and reserve selection for marine conservation
- Authors
- S Kininmonth (Author) - University of QueenslandM Beger (Author) - University of QueenslandM Bode (Author) - University of QueenslandEric L Peterson (Author) - University of the Sunshine Coast - Faculty of Science, Health and EducationV M Adams (Author) - James Cook UniversityD Dorfman (Author) - NOAA/NOS/NCCOS/CCMA/Biogeography BranchD R Brumbaugh (Author) - American Museum of Natural HistoryH P Possingham (Author) - University of Queensland
- Publication details
- Ecological Modelling, Vol.222(7), pp.1272-1282
- Publisher
- Elsevier BV
- Date published
- 2011
- DOI
- 10.1016/j.ecolmodel.2011.01.012
- ISSN
- 0304-3800
- Organisation Unit
- University of the Sunshine Coast, Queensland
- Language
- English
- Record Identifier
- 99449612002621
- Output Type
- Journal article
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