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Announcement of the 4th Population Ecology Awards 第四届人口生态奖公布
4区 环境科学与生态学 Q2 Agricultural and Biological Sciences Pub Date : 2023-10-01 DOI: 10.1002/1438-390x.12166
Population EcologyVolume 65, Issue 4 p. 275-278 AWARD ANNOUNCEMENT Announcement of the 4th Population Ecology Awards First published: 06 October 2023 https://doi.org/10.1002/1438-390X.12166Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Volume65, Issue4October 2023Pages 275-278 RelatedInformation
人口生态学第65卷第4期275-278页奖励公告第四届人口生态学奖公告首次发布:2023年10月6日https://doi.org/10.1002/1438-390X.12166Read全文taboutpdf ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare给予accessShare全文accessShare全文accessShare请查看我们的使用条款和条件,并勾选下面的复选框分享文章的全文版本。我已经阅读并接受了Wiley在线图书馆使用共享链接的条款和条件,请使用下面的链接与您的朋友和同事分享本文的全文版本。学习更多的知识。复制URL共享一个链接共享一个emailfacebooktwitterlinkedinreddit微信卷65,Issue4October 2023页275-278相关信息
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引用次数: 0
Acknowledgements to reviewers and editors 感谢审稿人和编辑
4区 环境科学与生态学 Q2 Agricultural and Biological Sciences Pub Date : 2023-10-01 DOI: 10.1002/1438-390x.12168
Population EcologyVolume 65, Issue 4 p. 279-280 REVIEWER ACKNOWLEDGEMENT Acknowledgements to reviewers and editors First published: 06 October 2023 https://doi.org/10.1002/1438-390X.12168Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume65, Issue4October 2023Pages 279-280 RelatedInformation
Population ecology第65卷第4期第279-280页审稿人致谢审稿人和编辑首次发布:2023年10月6日https://doi.org/10.1002/1438-390X.12168Read全文taboutpdf ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare给予accessShare全文accessShare全文accessShare全文accessShare请查看我们的使用条款和条件,并勾选下面的复选框共享文章的全文版本。我已经阅读并接受了Wiley在线图书馆使用共享链接的条款和条件,请使用下面的链接与您的朋友和同事分享本文的全文版本。学习更多的知识。复制URL共享链接共享一个emailfacebooktwitterlinkedinreddit微信本文无摘要vol . 65, Issue4October 2023页279-280
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引用次数: 0
Estimating current effective sizes of large populations from a single sample of genomic marker data: A comparison of estimators by simulations 从单个基因组标记数据样本估计当前大种群的有效规模:模拟估算器的比较
4区 环境科学与生态学 Q2 Agricultural and Biological Sciences Pub Date : 2023-09-19 DOI: 10.1002/1438-390x.12167
Jinliang Wang
Abstract Genome‐wide single nucleotide polymorphisms (SNPs) data are increasingly used in estimating the current effective population sizes ( N e ) for informing the conservation of endangered species and guiding the management of exploited species. Previous assessments of sibship frequency (SF) and linkage disequilibrium (LD) estimators of N e focused on small populations where genetic drift is strong and thus N e is easy to estimate. Genomic single nucleotide polymorphism (SNP) data provide ample information and hold the potential for application of these estimators to large populations where genetic drift is rather weak and thus N e is difficult to estimate. In this study, I simulated very large populations and sampled a widely variable number of individuals (genotyped at 10,000 SNPs) for estimating N e by both SF and LD methods. I also considered the more realistic situation where a population experiences a bottleneck, and where marker data suffer from genotyping errors. The simulations show that both SF and LD methods can yield accurate N e estimates of very large populations when sampled individuals are sufficiently numerous. When n is much smaller than N e , however, N e estimates are in a bimodal distribution with a substantial proportion of the estimates being infinitely large. For a population with a bottleneck, LD estimator overestimates and underestimates the N e of the parental population from samples taken at and after the bottleneck, respectively. LD estimator also overestimates N e substantially when applied to data suffering from allelic dropouts and false alleles. In contrast, SF estimator is unbiased and accurate when populations are changing in size or markers suffer from genotyping errors.
全基因组单核苷酸多态性(snp)数据越来越多地用于估计当前有效种群大小(N e),为濒危物种保护和指导开发物种管理提供信息。以往的兄弟姐妹频率(SF)和连锁不平衡(LD)估计集中在遗传漂变强的小群体,因此N e很容易估计。基因组单核苷酸多态性(SNP)数据提供了充足的信息,并具有将这些估计器应用于遗传漂变相当弱的大群体的潜力,因此N e难以估计。在这项研究中,我模拟了非常大的种群,并采样了大量可变的个体(基因分型为10,000个snp),以便通过SF和LD方法估计N - e。我还考虑了更现实的情况,即群体经历瓶颈,标记数据遭受基因分型错误。模拟结果表明,当样本数量足够多时,SF和LD方法都能对非常大的种群产生准确的N - e估计。然而,当n远远小于nne时,nne的估计值呈双峰分布,其中相当大比例的估计值为无限大。对于有瓶颈的种群,LD估计器分别高估和低估了在瓶颈处和瓶颈后采样的亲本种群的N e。LD估计器在应用于存在等位基因缺失和假等位基因的数据时,也会大大高估N e。相比之下,SF估计是无偏和准确的,当群体的大小变化或标记遭受基因分型错误。
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引用次数: 0
Frequency‐dependent community dynamics driven by sexual interactions 由性互动驱动的频率依赖的群落动态
4区 环境科学与生态学 Q2 Agricultural and Biological Sciences Pub Date : 2023-09-11 DOI: 10.1002/1438-390x.12165
Masato Yamamichi, Kaoru Tsuji, Shoko Sakai, Erik I. Svensson
Abstract Research in community ecology has tended to focus on trophic interactions (e.g., predation, resource competition) as driving forces of community dynamics, and sexual interactions have often been overlooked. Here we discuss how sexual interactions can affect community dynamics, especially focusing on frequency‐dependent dynamics of horizontal communities (i.e., communities of competing species in a single ecological guild). By combining mechanistic and phenomenological models of competition, we place sexual reproduction into the framework of modern coexistence theory. First, we review how population dynamics of two species competing for two resources can be represented by the Lotka–Volterra competition model as well as frequency dynamics, and how niche differentiation and overlap produce negative and positive frequency‐dependence (i.e., stable coexistence and priority effect), respectively. Then, we explore two situations where sexual interactions change the frequency‐dependence in community dynamics: (1) reproductive interference, that is, negative interspecific interactions due to incomplete species recognition in mating trials, can promote positive frequency‐dependence and (2) density‐dependent intraspecific adaptation load, that is, reduced population growth rates due to adaptation to intraspecific sexual (or social) interactions, produces negative frequency‐dependence. We show how reproductive interference and density‐dependent intraspecific adaptation load can decrease and increase niche differences in the framework of modern coexistence theory, respectively. Finally, we discuss future empirical and theoretical approaches for studying how sexual interactions and related phenomena (e.g., reproductive interference, intraspecific adaptation load, and sexual dimorphism) driven by sexual selection and conflict can affect community dynamics.
群落生态学的研究往往侧重于营养相互作用(如捕食、资源竞争)作为群落动态的驱动力,而性相互作用往往被忽视。在这里,我们讨论了性互动如何影响群落动态,特别是关注水平群落(即单一生态群落中竞争物种的群落)的频率依赖动态。通过结合竞争的机制模型和现象学模型,我们将有性生殖置于现代共存理论的框架中。首先,我们回顾了Lotka-Volterra竞争模型和频率动态如何表示两种物种竞争两种资源的种群动态,以及生态位分化和重叠如何分别产生负频率依赖和正频率依赖(即稳定共存和优先效应)。然后,我们探讨了两性互动改变群落动态中频率依赖性的两种情况:(1)生殖干扰,即由于交配试验中物种识别不完全而导致的负种间相互作用,可以促进正频率依赖性;(2)密度依赖性种内适应负荷,即由于适应种内两性(或社会)相互作用而导致的种群增长率降低,产生负频率依赖性。在现代共存理论的框架下,我们分别展示了生殖干扰和密度依赖的种内适应负荷如何减少和增加生态位差异。最后,我们讨论了未来研究由性选择和性冲突驱动的性互动和相关现象(如生殖干扰、种内适应负荷和两性二态性)如何影响群落动态的实证和理论方法。
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引用次数: 0
Revisiting scale invariance and scaling in ecology: River fractals as an example 重新审视生态学中的尺度不变性和尺度:以河流分形为例
IF 1.7 4区 环境科学与生态学 Q2 Agricultural and Biological Sciences Pub Date : 2023-08-07 DOI: 10.1002/1438-390x.12163
Akira Terui
Scale invariance, which refers to the preservation of geometric properties regardless of observation scale, is a prevalent phenomenon in ecological systems. This concept is closely associated with fractals, and river networks serve as prime examples of fractal systems. Quantifying river network complexity is crucial for unveiling the role of river fractals in riverine ecological dynamics, and researchers have used a metric of “branching probability” to do so. Previous studies showed that this metric reflects the fractal nature of river networks. However, a recent article by Carraro and Altermatt (2022) contradicted this classical observation and concluded that branching probability is “scale dependent.” I dispute this claim and argue that their major conclusion is derived merely from their misconception of scale invariance. Their analysis in the original article (fig. 3a) provided evidence that branching probability is scale‐invariant (i.e., branching probability exhibits a power‐law scaling), although the authors erroneously interpreted this result as a sign of scale dependence. In this article, I re‐introduce the definition of scale invariance and show that branching probability meets this definition. This provided an opportunity to address the divergent use of “scale invariance” and “scaling” between fractal theory and ecology.
尺度不变性是指无论观测尺度如何都能保持几何特性,是生态系统中普遍存在的现象。这个概念与分形密切相关,河流网络是分形系统的主要例子。量化河网复杂性对于揭示河流分形在河流生态动力学中的作用至关重要,研究人员已经使用了“分支概率”的度量来做到这一点。先前的研究表明,该度量反映了河网的分形性质。然而,Carraro和Altermatt(2022)最近的一篇文章反驳了这一经典观察结果,并得出结论,分支概率是“尺度相关的”。我对这一说法提出异议,并认为他们的主要结论只是源于他们对尺度不变性的误解。他们在原始文章中的分析(图3a)提供了证据,证明分支概率是标度不变的(即,分支概率表现出幂律标度),尽管作者错误地将这一结果解释为标度依赖的迹象。在这篇文章中,我重新介绍了尺度不变性的定义,并证明了分支概率满足这个定义。这为解决分形理论和生态学之间“尺度不变性”和“尺度”的不同使用提供了机会。
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引用次数: 0
Influence of environmental conditions on population growth and age‐specific vital rates of a long‐lived primate species in two contrasted habitats 环境条件对两种不同生境中长寿灵长类种群生长和年龄特异性存活率的影响
IF 1.7 4区 环境科学与生态学 Q2 Agricultural and Biological Sciences Pub Date : 2023-07-27 DOI: 10.1002/1438-390x.12164
Elisa Neves, D. Vallet, J. Pierre, Hugo Thierry, P. L. Le Gouar, N. Ménard
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引用次数: 0
Life history changes in the eastern collared lizard in response to varying demographic phases and management policies 东部领蜥的生活史随着人口发展阶段和管理政策的变化而变化
IF 1.7 4区 环境科学与生态学 Q2 Agricultural and Biological Sciences Pub Date : 2023-07-18 DOI: 10.1002/1438-390x.12162
Alan R. Templeton, J. Neuwald, A. K. Conley
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引用次数: 0
A primer of community ecology using the R language 使用R语言的社区生态学入门
IF 1.7 4区 环境科学与生态学 Q2 Agricultural and Biological Sciences Pub Date : 2023-06-25 DOI: 10.1002/1438-390x.12158
Kohmei Kadowaki
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引用次数: 0
Time series analysis showing how different environmental conditions affect the interspecific interactions of Callosobruchus maculatus and Callosobruchus chinensis 时间序列分析显示不同的环境条件如何影响斑点疣藻和中国疣藻的种间相互作用
IF 1.7 4区 环境科学与生态学 Q2 Agricultural and Biological Sciences Pub Date : 2023-06-20 DOI: 10.1002/1438-390x.12160
Takanori Kawase, D. Kyogoku, Kazutaka Kawatsu, N. Katayama, T. Miki, M. Kondoh
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引用次数: 0
Estimation of demographic parameters of some plant species accounting for imperfect detection probabilities 考虑不完全检测概率的某些植物物种的人口统计学参数估计
IF 1.7 4区 环境科学与生态学 Q2 Agricultural and Biological Sciences Pub Date : 2023-06-13 DOI: 10.1002/1438-390x.12159
J. A. Martínez‐Villegas, I. Pisanty, C. Martorell, Mariana Hernández-Apolinar, T. Valverde, Luisa A. Granados‐Hernández, M. Rodríguez-Sánchez, J. Zúñiga‐Vega
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引用次数: 0
期刊
Population Ecology
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