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将繁殖与生存联系起来可以改进从海象及其他物种的有限时间序列计数得出的生命率模型估计。

Linking reproduction and survival can improve model estimates of vital rates derived from limited time-series counts of pinnipeds and other species.

作者信息

Battaile Brian C, Trites Andrew W

机构信息

Marine Mammal Research Unit, Fisheries Centre, AERL, University of British Columbia, Vancouver, British Columbia, Canada.

出版信息

PLoS One. 2013 Nov 12;8(11):e77389. doi: 10.1371/journal.pone.0077389. eCollection 2013.

Abstract

We propose a method to model the physiological link between somatic survival and reproductive output that reduces the number of parameters that need to be estimated by models designed to determine combinations of birth and death rates that produce historic counts of animal populations. We applied our Reproduction and Somatic Survival Linked (RSSL) method to the population counts of three species of North Pacific pinnipeds (harbor seals, Phoca vitulina richardii (Gray, 1864); northern fur seals, Callorhinus ursinus (L., 1758); and Steller sea lions, Eumetopias jubatus (Schreber, 1776))--and found our model outperformed traditional models when fitting vital rates to common types of limited datasets, such as those from counts of pups and adults. However, our model did not perform as well when these basic counts of animals were augmented with additional observations of ratios of juveniles to total non-pups. In this case, the failure of the ratios to improve model performance may indicate that the relationship between survival and reproduction is redefined or disassociated as populations change over time or that the ratio of juveniles to total non-pups is not a meaningful index of vital rates. Overall, our RSSL models show advantages to linking survival and reproduction within models to estimate the vital rates of pinnipeds and other species that have limited time-series of counts.

摘要

我们提出了一种对体细胞存活与繁殖产出之间的生理联系进行建模的方法,该方法减少了旨在确定产生动物种群历史数量的出生率和死亡率组合的模型所需估计的参数数量。我们将我们的繁殖与体细胞存活关联(RSSL)方法应用于北太平洋三种鳍足类动物(港海豹,Phoca vitulina richardii(格雷,1864年);北海狗,Callorhinus ursinus(林奈,1758年);以及北海狮,Eumetopias jubatus(施雷伯,1776年))的种群数量——并发现当将生命率拟合到常见类型的有限数据集(如幼崽和成年个体数量数据)时,我们的模型优于传统模型。然而,当这些动物的基本数量通过幼崽与非幼崽总数的比例的额外观测值进行扩充时,我们的模型表现不佳。在这种情况下,比例未能提高模型性能可能表明随着种群随时间变化,存活与繁殖之间的关系被重新定义或解除关联,或者幼崽与非幼崽总数的比例不是生命率的有意义指标。总体而言,我们的RSSL模型显示出在模型中关联存活与繁殖以估计鳍足类动物和其他计数时间序列有限的物种的生命率方面的优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4d/3855591/3a116187db02/pone.0077389.g001.jpg

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