Growth of Tropical dasyatid Rays Estimated Using a Multi-Analytical Approach

被引:10
|
作者
O'Shea, Owen R. [1 ,2 ]
Braccini, Matias [3 ]
McAuley, Rory [3 ]
Speed, Conrad W. [1 ]
Meekan, Mark G. [1 ]
机构
[1] Australian Inst Marine Sci, Crawley, WA, Australia
[2] Murdoch Univ, Sch Vet & Life Sci, Perth, WA, Australia
[3] WA Fisheries & Marine Res Labs, Shark & Ray Sustainabil Grp, Hillarys Boat Harbour, WA, Australia
来源
PLOS ONE | 2013年 / 8卷 / 10期
关键词
AGE-DETERMINATION; NEOTRYGON-KUHLII; COMMON STINGRAY; VALIDATION; REPRODUCTION; PARAMETERS; PASTINACA; PRECISION; SELECTION; MATURITY;
D O I
10.1371/journal.pone.0077194
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
We studied the age and growth of four sympatric stingrays: reticulate whipray, Himanutra uarnak (n=19); blue mask, Neotrygon kuhlii (n=34); cowtail, Pastinachus atrus (n=32) and blue-spotted fantail, Taeniura lymma (n=40) rays at Ningaloo Reef, a fringing coral reef on the north-western coast of western Australia. Age estimates derived from band counts within sectioned vertebrae ranged between 1 and 27 years (H. uarnak, 1 - 25 yrs.; N. kuhlii, 1.5 - 13 yrs.; P. atrus, 1 - 27 yrs. and T. lymma, 1 -11 yrs.). Due to limitations of sample sizes, we combined several analytical methods for estimating growth parameters. First, we used nonlinear least squares (NLS) to identify the growth model that best fitted the data. We then used this model, prior information and the data within a Bayesian framework to approximate the posterior distribution of the growth parameters. For all species the two-parameter von Bertalanffy growth model provided the best fit to size-at-age datasets. Based on this model, the Bayesian approach allowed the estimation of median values of W-D infinity (cm) and k (yr(-1)) for the four species (H. uarnak: 149 and 0.12; N. kuhlii: 42 and 0.38; P. atrus 156 and 0.16, and T. lymma 33 and 0.24, respectively). Our approach highlights the value of combining different analytical methods and prior knowledge for estimating growth parameters when data quality and quantity are limited.
引用
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页数:8
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