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首页> 外文期刊>Transactions of the American Fisheries Society >Growth Estimation of Western Population Segment Gulf Sturgeon Using Length-at-Age and Mark-Recapture Data
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Growth Estimation of Western Population Segment Gulf Sturgeon Using Length-at-Age and Mark-Recapture Data

机译:使用长度和标记重复数据的西方人口段海湾鲟的成长估算

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摘要

Multimodel inference of length-at-age and tag-recapture data was used to estimate growth for western population segment (WPS; populations natal to the Pearl River, Louisiana, and the Pascagoula River, Mississippi) Gulf Sturgeon Acipenser oxyrinchus desotoi. Four candidate growth models were fitted to the length-at-age data (n=174): a three-parameter von Bertalanffy growth function (VBGF), a two-parameter VBGF, a power model, and a Gompertz model. Model support for each data set was estimated using Akaike's information criterion. The Gompertz model provided the best fit to our length-at-age data and had the lowest mean asymptotic maximum length (L). Mean estimated growth parameters for WPS Gulf Sturgeon were similar to those estimated for eastern population segment Gulf Sturgeon, but some of the mean parameter estimates fell outside of our 95% confidence intervals. Three growth curves were also fitted to tag-recapture data (n=116): a reformulated two-parameter VBGF, the Francis () GROTAG model, and a reparametrized Gompertz model. The GROTAG model provided the best fit to our data; all three models had lower mean estimates for L compared with parameter estimates based on length at age but had similar mean growth coefficients. We also compared the observed growth of 47 individuals with their predicted growth based on parameter estimates of the Gompertz length-at-age model and their age at tagging. We found that observed growth was generally less than what was predicted for juveniles and adults. For adults, we attribute this to the inaccuracies associated with age estimation for older individuals, which suggests that a tag-recapture approach might be the most appropriate method of modeling Gulf Sturgeon growth. Our study (1) demonstrates the importance of fitting multiple models to estimate growth, (2) will enable more accurate growth comparisons for Gulf Sturgeon across their range, and (3) represents the most robust length-at-age and tag-recapture data set for WPS Gulf Sturgeon.
机译:长度和标签 - 重新捕获数据的多模型推理用于估计西方人口段的增长(WPS;珍珠河,路易斯安那州的人口纳塔尔,帕斯卡拉河,密西西比州)海湾鲟鱼Acipenser oxyrinchus Desotoi。四个候选生长模型拟合到年龄数据(n = 174):三参数von Bertalanffy生长函数(VBGF),双参数VBGF,电力模型和Gompertz模型。使用Akaike的信息标准估计每个数据集的模型支持。 Gompertz模型提供了最适合于我们的年龄数据数据,并且具有最低的平均渐近最大长度(L)。 WPS海湾鲟鱼的平均估计增长参数与东部人口群海湾鲟估计的人相似,但其中一些平均参数估计下降了我们95%的置信区间。三个生长曲线也适用于标签 - 重新捕获数据(n = 116):重新标有的双参数VBGF,Francis()Grotag模型和Reparamiramized Gompertz模型。 GROTAG模型提供了最适合我们的数据;所有三种模型对L的平均估计值较低,与基于年龄的长度的参数估计相比,但具有类似的平均生长系数。我们还将观察到的47个个人的增长与他们预测的增长基于Gompertz长度的参数估计及其在标记时的年龄。我们发现观察到的增长一般小于预测少年和成年人的增长。对于成年人来说,我们将这一点归因于与年龄估计的老年人相关的不准确性,这表明标签 - 重复方法可能是最适合建模海湾鲟鱼的增长。我们的研究(1)展示了拟合多种模型来估计增长的重要性,(2)将使海湾鲟鱼的增长比较更加准确地在其范围内,并且(3)代表最强大的长度和标签 - 重新捕获数据为WPS海湾鲟鱼设置。

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    Univ Southern Mississippi Div Coastal Sci Sch Ocean Sci &

    Technol 703 East Beach Dr Ocean Springs MS 39564 USA;

    US Army Corps Engineers Engn Res &

    Dev Ctr Environm Lab EEA 3909 Halls Ferry Rd Vicksburg MS 39180 USA;

    Univ Southern Mississippi Div Coastal Sci Sch Ocean Sci &

    Technol 703 East Beach Dr Ocean Springs MS 39564 USA;

    Louisiana State Univ US Fish &

    Wildlife Serv Baton Rouge Fish &

    Wildlife Conservat Off 235 Parker Coliseum Baton Rouge LA 70803 USA;

    US Army Corps Engineers Engn Res &

    Dev Ctr Environm Lab EEA 3909 Halls Ferry Rd Vicksburg MS 39180 USA;

    Univ Southern Mississippi Div Coastal Sci Sch Ocean Sci &

    Technol 703 East Beach Dr Ocean Springs MS 39564 USA;

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  • 正文语种 eng
  • 中图分类 水产、渔业;
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