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本文引用的文献

1
Personality predicts foraging site fidelity and trip repeatability in a marine predator.个性预测海洋捕食者的觅食地忠诚度和旅行可重复性。
J Anim Ecol. 2020 Jan;89(1):68-79. doi: 10.1111/1365-2656.13106. Epub 2019 Oct 18.
2
Land-use change and the ecological consequences of personality in small mammals.土地利用变化与小型哺乳动物个性的生态后果。
Ecol Lett. 2019 Sep;22(9):1387-1395. doi: 10.1111/ele.13324. Epub 2019 Jun 17.
3
Personality interacts with habitat quality to govern individual mortality and dispersal patterns.个性与栖息地质量相互作用,决定个体的死亡率和扩散模式。
Ecol Evol. 2018 Jun 22;8(14):7216-7227. doi: 10.1002/ece3.4257. eCollection 2018 Jul.
4
Dynamical facilitation of the ideal free distribution in nonideal populations.非理想种群中理想自由分布的动态促进作用。
Ecol Evol. 2018 Jan 31;8(5):2471-2481. doi: 10.1002/ece3.3811. eCollection 2018 Mar.
5
Personality-matching habitat choice, rather than behavioural plasticity, is a likely driver of a phenotype-environment covariance.人格匹配的栖息地选择,而不是行为可塑性,可能是表型-环境协方差的驱动因素。
Proc Biol Sci. 2017 Oct 11;284(1864). doi: 10.1098/rspb.2017.0943.
6
Rapid divergence of animal personality and syndrome structure across an arid-aquatic habitat matrix.动物个性与综合征结构在干旱-水生栖息地矩阵中的快速分化。
Oecologia. 2017 Sep;185(1):55-67. doi: 10.1007/s00442-017-3924-2. Epub 2017 Aug 4.
7
Habitat quality mediates personality through differences in social context.栖息地质量通过社会环境的差异来调节个性。
Oecologia. 2017 Jun;184(2):431-440. doi: 10.1007/s00442-017-3886-4. Epub 2017 May 20.
8
Personality, foraging behavior and specialization: integrating behavioral and food web ecology at the individual level.个性、觅食行为与专业化:在个体层面整合行为生态学与食物网生态学
Oecologia. 2016 Sep;182(1):55-69. doi: 10.1007/s00442-016-3648-8. Epub 2016 May 11.
9
Individual differences in boldness influence patterns of social interactions and the transmission of cuticular bacteria among group-mates.大胆程度的个体差异会影响社会互动模式以及表皮细菌在群体成员之间的传播。
Proc Biol Sci. 2016 Apr 27;283(1829). doi: 10.1098/rspb.2016.0457.
10
Spatially variable habitat quality contributes to within-population variation in reproductive success.空间可变的栖息地质量导致种群内繁殖成功率的差异。
Ecol Evol. 2015 Apr;5(7):1474-83. doi: 10.1002/ece3.1427. Epub 2015 Mar 6.

动物个性对理想自由分布的影响。

The effects of animal personality on the ideal free distribution.

机构信息

Department of Biology, Brigham Young University, Provo, UT 84602, USA.

出版信息

Proc Biol Sci. 2020 Sep 9;287(1934):20201095. doi: 10.1098/rspb.2020.1095. Epub 2020 Sep 2.

DOI:10.1098/rspb.2020.1095
PMID:32873202
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7542775/
Abstract

The ideal free distribution (IFD) has been used to predict the distribution of foraging animals in a wide variety of systems. However, its predictions do not always match observed distributions of foraging animals. Instead, we often observe that there are more consumers than predicted in low-quality patches and fewer consumers than predicted in high-quality patches (i.e. undermatching). We examine the possibility that animal personality is one explanation for this undermatching. We first conducted a literature search to determine how commonly studies document the personality distribution of populations. Second, we created a simple individual-based model to conceptually demonstrate why knowing the distribution of personalities is important for studies of populations of foragers in context of the IFD. Third, we present a specific example where we calculate the added time to reach the IFD for a population of mud crabs that has a considerable number of individuals with relatively inactive personalities. We suggest that animal personality, particularly the prevalence of inactive personality types, may inhibit the ability of a population to track changes in habitat quality, therefore leading to undermatching of the IFD. This may weaken the IFD as a predictive model moving forward.

摘要

理想自由分布(IFD)已被用于预测各种系统中觅食动物的分布。然而,它的预测并不总是符合观察到的觅食动物的分布。相反,我们经常观察到,在低质量斑块中,消费者比预测的多,而在高质量斑块中,消费者比预测的少(即不匹配)。我们研究了动物个性是否是这种不匹配的一个解释。我们首先进行了文献检索,以确定有多少研究记录了种群的个性分布。其次,我们创建了一个简单的基于个体的模型,从概念上演示了为什么了解个性的分布对于在 IFD 背景下研究觅食者种群很重要。第三,我们提出了一个具体的例子,我们计算了具有相对不活跃个性的个体数量相当多的泥蟹种群达到 IFD 的额外时间。我们认为,动物个性,特别是不活跃个性类型的流行,可能会抑制种群跟踪栖息地质量变化的能力,从而导致 IFD 的不匹配。这可能会削弱 IFD 作为一个预测模型。