CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
research
Resilience to Disturbance Despite Limited Dispersal and Self-Recruitment in Tropical Barrel Sponges: Implications for Conservation and Management
Authors
A Blanquer
Abdul Haris
+56 more
B Rannala
BP Kinlan
CE Holleley
D Paetkau
DA Earl
Danielle Hannan
David Smith
G Evanno
GP Jones
GR Almany
GW Allison
IS Knapp
J Fromont
J Fromont
J Fromont
J Goudet
Jamaludin Jompa
James J. Bell
JB Horne
JJ Bell
JJ Bell
JJ Bell
JJ Bell
JK Pritchard
JL Wulff
JN Underwood
KA Selkoe
KJ Miller
L Excoffier
Luke Thomas
M Jakobsson
M Maldonado
M Nei
NA Rosenberg
NS Webster
O Berry
O Hoegh-Guldberg
P Saenz-Agudelo
PG Meirmans
R Peakall
R Peakall
Roberto Pronzato
S Duran
S López-Legentil
S López-Legentil
S Piry
S Whalan
S Wright
S Wright
SE McMurray
SE McMurray
T Swierts
TP Hughes
TP Hughes
WH Lowe
WR Rice
Publication date
20 March 2014
Publisher
'Public Library of Science (PLoS)'
Doi
Cite
View
on
PubMed
Abstract
While estimates of connectivity are important for effective management, few such estimates are available for reef invertebrates other than for corals. Barrel sponges are one of the largest and most conspicuous members of the coral reef fauna across the Indo-Pacific and given their large size, longevity and ability to process large volumes of water, they have a major role in reef functioning. Here we used a panel of microsatellite markers to characterise the genetic structure of two barrel sponge species, Xestospongia testudinaria and a currently undescribed Xestospongia species. We sampled across seven populations in the Wakatobi Marine National Park, SE Sulawesi (Indonesia) spanning a spatial scale of approximately 2 to 70 km, and present the first estimates of demographic connectivity for coral reef sponges. Genetic analyses showed high levels of genetic differentiation between all populations for both species, but contrasting patterns of genetic structuring for the two species. Autocorrelation analyses showed the likely dispersal distances of both species to be in the order of 60 and 140 m for Xestopongia sp. and Xestospongia testudinaria, respectively, which was supported by assignment tests that showed high levels of self-recruitment (>80%). We also found consistently high inbreeding coefficients across all populations for both species. Our study highlights the potential susceptibility of barrel sponges to environmental perturbations because they are generally long-lived, slow growing, have small population sizes and are likely to be reliant on self-recruitment. Surprisingly, despite these features we actually found the highest abundance of both barrel sponge species (although they were generally smaller) at a site that has been severely impacted by humans over the last fifty years. This suggests that barrel sponges exhibit environmental adaptation to declining environmental quality and has important implications for the management and conservation of these important reef species. © 2014 Bell et al
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Crossref
See this paper in CORE
Go to the repository landing page
Download from data provider
info:doi/10.1371%2Fjournal.pon...
Last time updated on 01/04/2019
Directory of Open Access Journals
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:doaj.org/article:fbee7d0a2...
Last time updated on 09/08/2016
University of Essex Research Repository
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:repository.essex.ac.uk:137...
Last time updated on 09/02/2017
Public Library of Science (PLOS)
See this paper in CORE
Go to the repository landing page
Download from data provider
Last time updated on 18/09/2018