Estimating Demographic Parameters for Bearded Seals, Erignathus barbatus, in Alaska Using Close-Kin Mark-Recapture Methods

IF 3.5 2区 生物学 Q1 EVOLUTIONARY BIOLOGY Evolutionary Applications Pub Date : 2024-11-08 DOI:10.1111/eva.70035
Brian D. Taras, Paul B. Conn, Mark V. Bravington, Andrzej Kilian, Aimée R. Lang, Anna Bryan, Raphaela Stimmelmayr, Lori Quakenbush
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Abstract

Reliable estimates of population abundance and demographics are essential for managing harvested species. Ice-associated phocids, “ice seals,” are a vital resource for subsistence-dependent coastal Native communities in western and northern Alaska, USA. In 2012, the Beringia distinct population segment of the bearded seal, Erignathus barbatus nauticus, was listed as “threatened” under the US Endangered Species Act requiring greater scrutiny for management assessments. We sought to estimate requisite population parameters from harvested seals by using close-kin mark-recapture (CKMR) methods, the first such application for marine mammals. Samples from 1758 bearded seals harvested by Bering, Chukchi, and Beaufort Sea communities during 1998–2020 were genotyped, genetically sexed, and aged by tooth annuli. After rigorous quality control, kin relationships were established for 1484 seals including two parent–offspring pairs (POPs) and 25 potential second-order kin pairs. Most of the second-order kin were half-sibling pairs (HSPs), but four were potential grandparent-grandchild pairs (GGPs). There were no full sibling pairs, suggesting a lack of mate fidelity. Mitochondrial DNA analysis identified 17 potential HSPs as paternally related, providing substantial evidence of persistent heterogeneity in reproductive success among adult males. The statistical CKMR model incorporates probabilities associated with POPs, HSPs, and GGPs and assumes known ages and a stable population. Our top model accommodates heterogeneity in adult male breeding success and yields an abundance estimate of ~409,000 with a coefficient of variation (CV) = 0.35, which is substantially greater than the “non-heterogeneity” model estimate of ~232,000 (CV = 0.21), an important difference for managing a harvested species. Using CKMR methods with harvested species provides estimates of abundance with the added opportunity to acquire information about adult survival, fecundity, and breeding success that could be applied to other species of concern, marine and terrestrial.

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使用近亲标记重捕法估算阿拉斯加大胡子海豹(Erignathus barbatus)的人口统计参数。
对种群丰度和人口统计的可靠估计对于管理收获物种至关重要。在美国阿拉斯加西部和北部,与冰有关的噬冰动物 "冰海豹 "是以生存为生的沿海土著社区的重要资源。2012 年,根据美国《濒危物种法》,冰海豹(Erignathus barbatus nauticus)的白令西亚独特种群区段被列为 "濒危 "物种,这要求对管理评估进行更严格的审查。我们试图利用近亲标记-重捕(CKMR)方法从被捕获的海豹中估计必要的种群参数,这是首次在海洋哺乳动物中应用这种方法。我们对白令海、楚科奇海和波弗特海群落在 1998-2020 年间捕获的 1758 只胡子海豹样本进行了基因分型、性别鉴定和齿环年龄鉴定。经过严格的质量控制,为 1484 只海豹建立了亲属关系,包括两对亲子关系(POPs)和 25 对潜在的二阶亲属关系。大多数二阶亲缘关系是同父异母关系(HSPs),但有四对可能是祖孙关系(GGPs)。没有全同胞配对,这表明缺乏配偶忠诚度。线粒体 DNA 分析确定了 17 个潜在的 HSP 父系亲缘关系,为成年雄性动物之间生殖成功率的持续异质性提供了大量证据。统计 CKMR 模型包含了与 POPs、HSPs 和 GGPs 相关的概率,并假设了已知的年龄和稳定的种群。我们的顶级模型考虑了成年雄性繁殖成功率的异质性,得出的丰度估计值为 ~409,000,变异系数 (CV) = 0.35,大大高于 "非异质性 "模型的估计值 ~232,000(CV = 0.21),这对于管理收获物种来说是一个重要的差异。对被捕捞物种使用 CKMR 方法提供丰度估计值,并有机会获得有关成体存活率、繁殖力和繁殖成功率的信息,这些信息可应用于其他海洋和陆地受关注物种。
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来源期刊
Evolutionary Applications
Evolutionary Applications 生物-进化生物学
CiteScore
8.50
自引率
7.30%
发文量
175
审稿时长
6 months
期刊介绍: Evolutionary Applications is a fully peer reviewed open access journal. It publishes papers that utilize concepts from evolutionary biology to address biological questions of health, social and economic relevance. Papers are expected to employ evolutionary concepts or methods to make contributions to areas such as (but not limited to): medicine, agriculture, forestry, exploitation and management (fisheries and wildlife), aquaculture, conservation biology, environmental sciences (including climate change and invasion biology), microbiology, and toxicology. All taxonomic groups are covered from microbes, fungi, plants and animals. In order to better serve the community, we also now strongly encourage submissions of papers making use of modern molecular and genetic methods (population and functional genomics, transcriptomics, proteomics, epigenetics, quantitative genetics, association and linkage mapping) to address important questions in any of these disciplines and in an applied evolutionary framework. Theoretical, empirical, synthesis or perspective papers are welcome.
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