| Title |
Comparative Phylogeography in Fijian Coral Reef Fishes: A Multi-Taxa Approach towards Marine Reserve Design
|
|---|---|
| Published in |
PLOS ONE, October 2012
|
| DOI | 10.1371/journal.pone.0047710 |
| Pubmed ID | |
| Authors |
Joshua A. Drew, Paul H. Barber |
| Abstract |
Delineating barriers to connectivity is important in marine reserve design as they describe the strength and number of connections among a reserve's constituent parts, and ultimately help characterize the resilience of the system to perturbations at each node. Here we demonstrate the utility of multi-taxa phylogeography in the design of a system of marine protected areas within Fiji. Gathering mtDNA control region data from five species of coral reef fish in five genera and two families, we find a range of population structure patterns, from those experiencing little (Chrysiptera talboti, Halichoeres hortulanus, and Pomacentrus maafu), to moderate (Amphiprion barberi, Φ(st) = 0.14 and Amblyglyphidodon orbicularis Φ(st) = 0.05) barriers to dispersal. Furthermore estimates of gene flow over ecological time scales suggest species-specific, asymmetric migration among the regions within Fiji. The diversity among species-specific results underscores the limitations of generalizing from single-taxon studies, including the inability to differentiate between a species-specific result and a replication of concordant phylogeographic patterns, and suggests that greater taxonomic coverage results in greater resolution of community dynamics within Fiji. Our results indicate that the Fijian reefs should not be managed as a single unit, and that closely related species can express dramatically different levels of population connectivity. |
X Demographics
The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 35% |
| Fiji | 1 | 4% |
| United Kingdom | 1 | 4% |
| Canada | 1 | 4% |
| Australia | 1 | 4% |
| Comoros | 1 | 4% |
| Unknown | 12 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 62% |
| Scientists | 9 | 35% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | <1% |
| Tanzania, United Republic of | 1 | <1% |
| Indonesia | 1 | <1% |
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Peru | 1 | <1% |
| Mexico | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 122 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 26% |
| Researcher | 29 | 22% |
| Student > Master | 17 | 13% |
| Student > Bachelor | 13 | 10% |
| Other | 11 | 8% |
| Other | 18 | 14% |
| Unknown | 10 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 79 | 60% |
| Environmental Science | 19 | 14% |
| Biochemistry, Genetics and Molecular Biology | 4 | 3% |
| Social Sciences | 3 | 2% |
| Unspecified | 3 | 2% |
| Other | 9 | 7% |
| Unknown | 15 | 11% |