Open AccessUnderstanding the effectiveness of marine protected areas using genetic connectivity patterns and Lagrangian simulations
Author(s) -
Pujolar José Martin,
Schiavina Marcello,
Di Franco Antonio,
Melià Paco,
Guidetti Paolo,
Gatto Marino,
De Leo Giulio A.,
Zane Lorenzo
Publication year - 2013
Publication title -
diversity and distributions
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.918
H-Index - 118
eISSN - 1472-4642
pISSN - 1366-9516
DOI - 10.1111/ddi.12114
Subject(s) - marine protected area , lagrangian , fishing , genetic structure , ecology , geography , environmental science , fishery , biology , habitat , genetic variation , physics , biochemistry , gene , mathematical physics
Aim To explore the patterns of connectivity between marine protected areas ( MPA s) and neighbouring non‐protected areas and the scale at which the benefits of MPA s are expected using the white sea bream as model species. Location Marine protected area of Torre Guaceto ( TGMPA , Italy) in the south Adriatic Sea. Methods A multidisciplinary approach was used combining (1) a genetic survey using 12 highly informative microsatellite loci of samples collected within the MPA and in several locations up to 100 km from the MPA ; and (2) larval trajectories using Lagrangian simulations based on an oceanographical model of the region that includes specific data on early life‐history traits. Both genetic and simulation studies were temporarily replicated during two consecutive years. Results The overall genetic homogeneity observed indicates that the TGMPA is not isolated and that there is genetic connectivity among locations across a scale of at least ~200 km. A high degree of connectivity between the TGMPA and neighbouring areas is in agreement with Lagrangian simulations, which indicate that white sea bream larvae can be transported over large distances up to about 300 km. Trajectories released from the TGMPA showed that on average, 12.75% of the larvae remains within the TGMPA , while the rest travel south towards non‐protected areas. Main conclusions Our findings highlight the potential benefits of effectively enforced MPA s for neighbouring or relatively distant non‐protected fishing areas and the potential connection with other MPA s at regional scale. Combining genetics and modelling can provide a general framework to investigate the role of connectivity in MPA design that can be easily extended to other species and geographical areas.