• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

个体在觅食成功方面的差异为海洋捕食者的管理提供了信息。

Individual variability in foraging success of a marine predator informs predator management.

机构信息

Western Washington University, Bellingham, WA, USA.

WI Department of Natural Resources, Office of Applied Science, 2801 Progress Rd, Madison, WI, 53716, USA.

出版信息

Sci Rep. 2022 Jul 1;12(1):11184. doi: 10.1038/s41598-022-15200-y.

DOI:10.1038/s41598-022-15200-y
PMID:35778455
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9249773/
Abstract

The complexities of trophic dynamics complicate the management of predator populations. Targeted culling campaigns are one management strategy meant to control predation for the benefit of the prey population. In these campaigns, individual predators are often considered "rogue" based on visitation rates to the site of concern. This definition assumes that all predators impact prey equally. However, individual variability in foraging success may compromise this assumption. To examine this hypothesis, we studied harbor seals preying on adult salmonids during the 2014-2019 fall runs in Whatcom Creek, Bellingham, Washington, USA, and recorded visitation rate and foraging success of individual seals from photographs and field observations. We then used Generalized Linear Mixed-Effects Models to model individual foraging success. Models including harbor seal identity better explained foraging success than models based on visitation rate alone. We concluded that considering intraspecific variability and classifying "rogue individuals" based on foraging success is a more accurate protocol for managing predator populations than relying solely on visitation rate of the predators.

摘要

营养动态的复杂性使捕食者种群的管理变得复杂。有针对性的扑杀活动是一种管理策略,旨在通过捕食来控制捕食者,从而有利于猎物种群。在这些活动中,个体捕食者通常根据对关注地点的访问率被视为“流氓”。这种定义假设所有捕食者对猎物的影响都是相同的。然而,觅食成功的个体差异可能会影响这种假设。为了检验这一假设,我们研究了 2014 年至 2019 年期间在美国华盛顿州贝灵汉的沃科姆克里克成年鲑鱼被捕食的港湾海豹,并通过照片和实地观察记录了个体海豹的访问率和觅食成功率。然后,我们使用广义线性混合效应模型来模拟个体觅食成功率。包含港湾海豹身份的模型比仅基于访问率的模型更好地解释了觅食成功率。我们的结论是,考虑种内变异性,并根据觅食成功率对“流氓个体”进行分类,是管理捕食者种群的一种更准确的方法,而不仅仅依赖于捕食者的访问率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d920/9249773/a9401d1b0758/41598_2022_15200_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d920/9249773/6f1f12c729fa/41598_2022_15200_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d920/9249773/1ee99046e484/41598_2022_15200_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d920/9249773/df4aad9c8cb2/41598_2022_15200_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d920/9249773/a9401d1b0758/41598_2022_15200_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d920/9249773/6f1f12c729fa/41598_2022_15200_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d920/9249773/1ee99046e484/41598_2022_15200_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d920/9249773/df4aad9c8cb2/41598_2022_15200_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d920/9249773/a9401d1b0758/41598_2022_15200_Fig4_HTML.jpg

相似文献

1
Individual variability in foraging success of a marine predator informs predator management.个体在觅食成功方面的差异为海洋捕食者的管理提供了信息。
Sci Rep. 2022 Jul 1;12(1):11184. doi: 10.1038/s41598-022-15200-y.
2
The effect of a startle-eliciting device on the foraging success of individual harbor seals (Phoca vitulina).惊跳诱发装置对个体斑海豹(Phoca vitulina)觅食成功率的影响。
Sci Rep. 2024 Feb 14;14(1):3719. doi: 10.1038/s41598-024-54175-w.
3
Individual-based energetic model suggests bottom up mechanisms for the impact of coastal hypoxia on Pacific harbor seal (Phoca vitulina richardii) foraging behavior.基于个体的能量模型揭示了沿海低氧对太平洋斑海豹(Phoca vitulina richardii)觅食行为产生影响的自下而上机制。
J Theor Biol. 2017 Mar 7;416:190-198. doi: 10.1016/j.jtbi.2017.01.006. Epub 2017 Jan 9.
4
Fine-scale variability in harbor seal foraging behavior.港湾海豹觅食行为的精细尺度变化。
PLoS One. 2014 Apr 9;9(4):e92838. doi: 10.1371/journal.pone.0092838. eCollection 2014.
5
Foraging and vulnerability traits modify predator-prey body mass allometry: freshwater macroinvertebrates as a case study.觅食和脆弱性特征改变了捕食者-猎物的体质量比例关系:以淡水大型无脊椎动物为案例研究。
J Anim Ecol. 2013 Sep;82(5):1031-41. doi: 10.1111/1365-2656.12078. Epub 2013 Jul 19.
6
Foraging behaviour and ecology of transient killer whales within a deep submarine canyon system.深海峡谷系统内迁徙杀手鲸的觅食行为和生态学研究。
PLoS One. 2024 Mar 20;19(3):e0299291. doi: 10.1371/journal.pone.0299291. eCollection 2024.
7
Sex-differences in fine-scale home-range use in an upper-trophic level marine predator.一种处于较高营养级的海洋捕食者在精细尺度上的栖息地利用中的性别差异。
Mov Ecol. 2020 Feb 13;8:11. doi: 10.1186/s40462-020-0196-y. eCollection 2020.
8
Variation in foraging success among predators and its implications for population dynamics.捕食者觅食成功率的差异及其对种群动态的影响。
Ecol Evol. 2016 Dec 20;7(2):526-532. doi: 10.1002/ece3.2633. eCollection 2017 Jan.
9
Herbivore population suppression by an intermediate predator, Phytoseiulus macropilis, is insensitive to the presence of an intraguild predator: an advantage of small body size?中间捕食者大眼智利小植绥螨对植食性动物种群的抑制作用不受集团内捕食者存在的影响:体型小的优势?
Oecologia. 2004 Aug;140(4):577-85. doi: 10.1007/s00442-004-1620-5. Epub 2004 Jul 23.
10
How does the presence of a conspecific individual change the behavioral game that a predator plays with its prey?同种个体的存在如何改变捕食者与猎物之间的行为博弈?
Oecologia. 2017 Jul;184(3):597-607. doi: 10.1007/s00442-017-3884-6. Epub 2017 May 17.

引用本文的文献

1
The effect of a startle-eliciting device on the foraging success of individual harbor seals (Phoca vitulina).惊跳诱发装置对个体斑海豹(Phoca vitulina)觅食成功率的影响。
Sci Rep. 2024 Feb 14;14(1):3719. doi: 10.1038/s41598-024-54175-w.
2
A snapshot of climate drivers and temporal variation of abundance from a giant panda living in the wild.野生大熊猫气候驱动因素及数量随时间变化的概况。
Int J Parasitol Parasites Wildl. 2023 Feb 24;20:162-169. doi: 10.1016/j.ijppaw.2023.02.005. eCollection 2023 Apr.

本文引用的文献

1
Estimating the stock size of harbor seals (Phoca vitulina richardii) in the inland waters of Washington State using line-transect methods.采用线截法估算华盛顿州内陆水域斑海豹(Phoca vitulina richardii)的种群数量。
PLoS One. 2021 Jun 9;16(6):e0241254. doi: 10.1371/journal.pone.0241254. eCollection 2021.
2
Large-scale molecular barcoding of prey DNA reveals predictors of intrapopulation feeding diversity in a marine predator.对猎物DNA进行大规模分子条形码分析揭示了海洋捕食者种群内摄食多样性的预测因素。
Ecol Evol. 2020 Aug 26;10(18):9867-9885. doi: 10.1002/ece3.6638. eCollection 2020 Sep.
3
Large-scale molecular diet analysis in a generalist marine mammal reveals male preference for prey of conservation concern.
对一种广食性海洋哺乳动物的大规模分子饮食分析揭示了雄性对受保护猎物的偏好。
Ecol Evol. 2018 Sep 15;8(19):9889-9905. doi: 10.1002/ece3.4474. eCollection 2018 Oct.
4
Competing tradeoffs between increasing marine mammal predation and fisheries harvest of Chinook salmon.在虎鲸对奇努克鲑鱼的捕食增加与渔业捕捞之间存在相互竞争的权衡。
Sci Rep. 2017 Nov 20;7(1):15439. doi: 10.1038/s41598-017-14984-8.
5
Population structure determines functional differences among species and ecosystem processes.种群结构决定了物种间的功能差异和生态系统过程。
Nat Commun. 2013;4:2318. doi: 10.1038/ncomms3318.
6
Marine mammal impacts in exploited ecosystems: would large scale culling benefit fisheries?海洋哺乳动物对受捕捞生态系统的影响:大规模捕杀会使渔业受益吗?
PLoS One. 2012;7(9):e43966. doi: 10.1371/journal.pone.0043966. Epub 2012 Sep 6.
7
Evolutionary diversification in stickleback affects ecosystem functioning.棘鱼的进化多样化影响生态系统功能。
Nature. 2009 Apr 30;458(7242):1167-70. doi: 10.1038/nature07974. Epub 2009 Apr 1.
8
Generalized linear mixed models: a practical guide for ecology and evolution.广义线性混合模型:生态学与进化实用指南
Trends Ecol Evol. 2009 Mar;24(3):127-35. doi: 10.1016/j.tree.2008.10.008.
9
Maximum likelihood estimation of the negative binomial dispersion parameter for highly overdispersed data, with applications to infectious diseases.最大似然估计高度过离散数据的负二项分布离散参数,及其在传染病中的应用。
PLoS One. 2007 Feb 14;2(2):e180. doi: 10.1371/journal.pone.0000180.
10
Incorporating movement into models of grey seal population dynamics.将运动纳入灰海豹种群动态模型。
J Anim Ecol. 2006 May;75(3):634-45. doi: 10.1111/j.1365-2656.2006.01084.x.