Evolving coral reef conservation with genetic information

Beger, Maria, Selkoe, Kimberly A., Treml, Eric, Barber, Paul H., von der Heyden, Sophie, Crandall, Eric D., Toonen, Robert J. and Riginos, Cynthia (2014) Evolving coral reef conservation with genetic information. Bulletin of Marine Science, 90 1: 159-185. doi:10.5343/bms.2012.1106

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
UQ314974_OA.pdf Full text (open access) application/pdf 2.45MB 0

Author Beger, Maria
Selkoe, Kimberly A.
Treml, Eric
Barber, Paul H.
von der Heyden, Sophie
Crandall, Eric D.
Toonen, Robert J.
Riginos, Cynthia
Title Evolving coral reef conservation with genetic information
Journal name Bulletin of Marine Science   Check publisher's open access policy
ISSN 0007-4977
Publication date 2014-01-01
Year available 2013
Sub-type Article (original research)
DOI 10.5343/bms.2012.1106
Open Access Status DOI
Volume 90
Issue 1
Start page 159
End page 185
Total pages 28
Place of publication Miami, FL, United States
Publisher Rosenstiel School of Marine and Atmospheric Science
Language eng
Subject 1910 Oceanography
1104 Aquatic Science
Abstract Targeted conservation and management programs are crucial for mitigating anthropogenic threats to declining biodiversity. Although evolutionary processes underpin extant patterns of biodiversity, it is uncommon for resource managers to explicitly consider genetic data in conservation prioritization. Genetic information is inherently relevant to management because it describes genetic diversity, population connectedness, and evolutionary history; thereby typifying their behavioral traits, physiological climate tolerance, evolutionary potential, and dispersal ability. Incorporating genetic information into spatial conservation prioritization starts with reconciling the terminology and techniques used in genetics and conservation science. Genetic data vary widely in analyses and their interpretations can be challenging even for experienced geneticists. Therefore, identifying objectives, decision rules, and implementations in decision support tools specifically for management using genetic data is challenging. Here, we outline a framework for eight genetic system characteristics, their measurement, and how they could be incorporated in spatial conservation prioritization for two contrasting objectives: biodiversity preservation vs maintaining ecological function and sustainable use. We illustrate this framework with an example using data from Tridacna crocea (Lamarck, 1819) (boring giant clam) in the Coral Triangle. We find that many reefs highlighted as conservation priorities with genetic data based on genetic subregions, genetic diversity, genetic distinctness, and connectivity are not prioritized using standard practices. Moreover, different characteristics calculated from the same samples resulted in different spatial conservation priorities. Our results highlight that omitting genetic information from conservation decisions may fail to adequately represent processes regulating biodiversity, but that conservation objectives related to the choice of genetic system characteristics require careful consideration.
Keyword Marine & Freshwater Biology
Marine & Freshwater Biology
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID OCE-0349177
Institutional Status UQ
Additional Notes Available online: 11 October 2013.

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Biological Sciences Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 26 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 29 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Wed, 20 Nov 2013, 05:06:17 EST by Dr Eric Treml on behalf of School of Biological Sciences