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Optimal selection of marine protected areas based on connectivity and habitat quality

Moa Berglund (Institutionen för energi och miljö) ; Martin Nilsson Jacobi (Institutionen för energi och miljö, Fysisk resursteori) ; Per R. Jonsson
Ecological Modelling (0304-3800). Vol. 240 (2012), p. 105-112.
[Artikel, refereegranskad vetenskaplig]

Networks of nature reserves and protected areas are important instruments to protect biodiversity, including harvested populations. Selection of marine protected networks (MPA) will depend on both the connectivity of concerned species and the habitat quality of individual sites. We explore the relative effect of connectivity and habitat quality on solutions for optimal networks of MPA using eigenvalue perturbation theory and a metapopulation model. Based on analyses of both synthetic networks and realistic connectivities for a sessile invertebrate with planktonic larvae in the Baltic Sea, we show that connectivity is expected to be more efficient than habitat quality as a selection criterion for MPA networks with realistic probabilities of local recruitment. In a second series of analyses we explore the effect of temporal variability of connectivity on the selection of optimal MPA networks. We show that optimal solutions of MPA networks converged when based on 8-10 years of connectivity information, corresponding to the time scale of the North-Atlantic oscillation. In conclusion, this study indicates that connectivity may be more important than habitat quality as selection criterion for MPAs when targeting species with long-distance dispersal that is typical for many marine invertebrates and fish. Our study also shows that connectivity patterns may be relatively consistent in time which suggests that the recent progress in biophysical modelling can offer a framework for optimal selection of MPA networks based on connectivities, which should improve guidelines for the design of functional MPA networks.

Nyckelord: Protected areas, Conservation, Dispersal, Connectivity, Habitat quality, Eigenvalue perturbation theory, Networks, coral-reef fish, population connectivity, larval connectivity, conservation, recruitment, networks, model, metapopulation, biodiversity, retention



Denna post skapades 2012-08-30. Senast ändrad 2016-06-29.
CPL Pubid: 162732

 

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Institutioner (Chalmers)

Institutionen för energi och miljö
Institutionen för energi och miljö, Fysisk resursteori
Institutionen för biologi och miljövetenskap, Tjärnö marinbiologiska laboratorium (GU)
Linnécentrum för marin evolutionsbiologi (CEMEB) (GU)

Ämnesområden

Marin ekologi

Chalmers infrastruktur