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Optimal networks of nature reserves can be found through eigenvalue perturbation theory of the connectivity matrix

Martin Nilsson Jacobi (Institutionen för energi och miljö, Fysisk resursteori) ; Per R. Jonsson
Ecological Applications (1051-0761). Vol. 21 (2011), 5, p. 1861-1870.
[Artikel, refereegranskad vetenskaplig]

Conservation and management of natural resources and biodiversity need improved criteria to select functional networks of protected areas. The connectivity within networks due to dispersal is rarely considered, partly because it is unclear how connectivity information can be included in the selection of protected areas. We present a novel and general method that applies eigenvalue perturbation theory (EPT) to select optimum networks of protected areas based on connectivity. At low population densities, characteristic of threatened populations, this procedure selects networks that maximize the growth rate of the overall network. This method offers an improved link between connectivity and metapopulation dynamics. Our framework is applied to connectivities estimated for marine larvae and demonstrates that, for open populations, the best strategy is to protect areas acting as both strong donors and recipients of recruits. It should be possible to implement an EPT framework for connectivity analysis into existing holistic tools for design of protected areas.

Nyckelord: connectivity, conservation, dispersal, eigenvalue perturbation theory, networks, protected areas, coral-reef fish, marine reserves, population connectivity, biodiversity, conservation, metapopulation capacity, landscape connectivity, recruitment limitation, fragmented landscape, larval dispersal, graph-theory

Denna post skapades 2011-08-10. Senast ändrad 2012-01-17.
CPL Pubid: 144021


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Institutioner (Chalmers)

Institutionen för energi och miljö, Fysisk resursteori (2005-2017)
Linnécentrum för marin evolutionsbiologi (CEMEB) (GU)
Institutionen för marin ekologi, Tjärnö marinbiologiska laboratorium (1963-2011)
Institutionen för marin ekologi (1963-2011)


Biologiska vetenskaper

Chalmers infrastruktur