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  • 1
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2015
    In:  BMC Evolutionary Biology Vol. 15, No. 1 ( 2015-12)
    In: BMC Evolutionary Biology, Springer Science and Business Media LLC, Vol. 15, No. 1 ( 2015-12)
    Abstract: Colour polymorphisms are a fascinating facet of many natural populations of plants and animals, and the selective processes that maintain such variation are as relevant as the processes which promote their development. Orthoptera, the insect group that encompasses grasshoppers and bush crickets, includes a particularly large number of species that are colour polymorphic with a marked green-brown polymorphism being particularly widespread. Colour polymorphism has been associated with the need for crypsis and background matching and background-dependent homochromy has been described in a few species. However, when and how different environmental conditions influence variation in colour remains poorly understood. Here we test for effects of background colour and ambient temperature on the occurrence of colour morph switches (green to brown or brown to green) and developmental darkening in the alpine dwelling club-legged grasshopper Gomphocerus sibiricus . Results We monitored individually housed nymphae across three of their four developmental stages and into the first week after final ecdysis. Our data show an absence of colour morph switches in G. sibiricus , without a single switch observed in our sample. Furthermore, we test for an effect of temperature on colouration by manipulating radiant heat, a limiting factor in alpine habitats. Radiant heat had a significant effect on developmental darkening: individuals under low radiant heat tended to darken, while individuals under high radiant heat tended to lighten within nymphal stages. Young imagoes darkened under either condition. Conclusions Our results indicate a plastic response to a variable temperature and indicate that melanin, a multipurpose pigment responsible for dark colouration and presumed to be costly, seems to be strategically allocated according to the current environmental conditions. Unlike other orthopterans, the species is apparently unable to switch colour morphs (green/brown) during development, suggesting that colour morphs are determined genetically (or very early during development) and that other processes have to contribute to crypsis and homochromy in this species.
    Type of Medium: Online Resource
    ISSN: 1471-2148
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2015
    detail.hit.zdb_id: 2041493-6
    detail.hit.zdb_id: 3053924-9
    SSG: 12
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  • 2
    Online Resource
    Online Resource
    Elsevier BV ; 2010
    In:  Animal Behaviour Vol. 79, No. 6 ( 2010-06), p. 1329-1337
    In: Animal Behaviour, Elsevier BV, Vol. 79, No. 6 ( 2010-06), p. 1329-1337
    Type of Medium: Online Resource
    ISSN: 0003-3472
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2010
    detail.hit.zdb_id: 1461112-0
    SSG: 12
    SSG: 5,2
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  • 3
    In: Insect Science, Wiley, Vol. 25, No. 4 ( 2018-08), p. 617-630
    Abstract: Sexual ornaments contribute substantially to phenotypic diversity and it is particularly relevant to understand their evolution. Ornaments can assume the function of signals‐of‐quality that the choosy sex uses to evaluate potential mating partners. Often there are no obvious direct benefits and investment into mate choice is primarily rewarded by beneficial alleles that are inherited to the offspring. Inter‐sexual communication via sexual ornaments requires honesty of the sexual signal, yet the question of what maintains honesty remains only partially solved. One solution is that honesty is maintained by trait expression being dependent on individual condition, since condition‐dependent trait expression offers an effectively inexhaustible source of genetic variability. Here we test in the highly sexually dimorphic club‐legged grasshopper Gomphocerus sibiricus if putative sexual ornaments, in particular the striking front‐leg clubs, are more strongly affected by a lipopolysaccharide (LPS) immune challenge than putatively not sexually selected traits. Our results show overall little condition‐dependent expression of morphological and song traits, with sexually selected traits exhibiting effects comparable to nonsexually selected traits (with the possible exception of stridulatory file length and syllable‐to‐pause ratio in advertisement songs). Interestingly, field observations of individuals of lethally parasitized individuals suggest that a very strong environmental challenge can specifically affect the expression of the front‐leg clubs. The presence of 1% of males in natural populations with missing or heavily deformed clubs plus 5% with minor club deformations furthermore indicate that there are risks associated with club development during final ecdysis and this might act as a filter against deleterious alleles.
    Type of Medium: Online Resource
    ISSN: 1672-9609 , 1744-7917
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 2179775-4
    SSG: 12
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  • 4
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 1992
    In:  Journal für Ornithologie Vol. 133, No. 2 ( 1992-04), p. 197-202
    In: Journal für Ornithologie, Springer Science and Business Media LLC, Vol. 133, No. 2 ( 1992-04), p. 197-202
    Type of Medium: Online Resource
    ISSN: 0021-8375 , 1439-0361
    RVK:
    Language: German
    Publisher: Springer Science and Business Media LLC
    Publication Date: 1992
    detail.hit.zdb_id: 2134595-8
    detail.hit.zdb_id: 2026338-7
    detail.hit.zdb_id: 2749163-8
    SSG: 12
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  • 5
    Online Resource
    Online Resource
    Elsevier BV ; 2007
    In:  Animal Behaviour Vol. 74, No. 4 ( 2007-10), p. 715-724
    In: Animal Behaviour, Elsevier BV, Vol. 74, No. 4 ( 2007-10), p. 715-724
    Type of Medium: Online Resource
    ISSN: 0003-3472
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2007
    detail.hit.zdb_id: 1461112-0
    SSG: 12
    SSG: 5,2
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  • 6
    In: Biological Reviews, Wiley, Vol. 96, No. 1 ( 2021-02), p. 269-288
    Abstract: Animal behaviour can lead to varying levels of risk, and an individual's physical condition can alter the potential costs and benefits of undertaking risky behaviours. How risk‐taking behaviour depends on condition is subject to contrasting hypotheses. The asset protection principle proposes that individuals in better condition should be more risk averse, as they have higher future reproductive potential (i.e. more to lose). The state‐dependent safety hypothesis proposes that high‐condition individuals that are more likely to survive and maximise the benefits of risky situations may make apparently riskier choices, as their individual risk is in fact lower. We systematically searched for studies that experimentally manipulated animals’ nutritional or energetic condition through diet treatments, and subsequently measured risk‐taking behaviour in contexts relating to predation, novelty and exploration. Our meta‐analysis quantified condition effects on risk‐taking behaviour at both the mean and variance level. We preregistered our methods and hypotheses prior to conducting the study. Phylogenetic multilevel meta‐analysis revealed that the lower‐nutritional‐condition individuals showed on average ca. 26% greater tendency towards risk than high‐condition individuals (95% confidence interval: 15–38%; N = 126 studies, 1297 effect sizes). Meta‐regressions revealed several factors influencing the overall effect, such as the experimental context used to measure risk‐taking behaviour, and the life stage when condition was manipulated. Meta‐analysis of variance revealed no clear overall effect of condition on behavioural variance (on average ca . 3% decrease in variance in low‐ versus high‐condition groups; 95% confidence interval: −8 to 3%; N = 119 studies, 1235 effect sizes), however, the experimental context was an important factor influencing the strength and direction of the variance effect. Our comprehensive systematic review and meta‐analysis provide insights into the roles of state dependency and plasticity in intraspecific behavioural variation. While heterogeneity among effect sizes was high, our results show that poor nutritional state on average increases risk taking in ecological contexts involving predation, novelty and exploration.
    Type of Medium: Online Resource
    ISSN: 1464-7931 , 1469-185X
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 1423558-4
    detail.hit.zdb_id: 1476789-2
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  • 7
    Online Resource
    Online Resource
    Wiley ; 2017
    In:  Methods in Ecology and Evolution Vol. 8, No. 11 ( 2017-11), p. 1639-1644
    In: Methods in Ecology and Evolution, Wiley, Vol. 8, No. 11 ( 2017-11), p. 1639-1644
    Abstract: Intra‐class correlations ( ICC ) and repeatabilities ( R ) are fundamental statistics for quantifying the reproducibility of measurements and for understanding the structure of biological variation. Linear mixed effects models offer a versatile framework for estimating ICC and R . However, while point estimation and significance testing by likelihood ratio tests is straightforward, the quantification of uncertainty is not as easily achieved. A further complication arises when the analysis is conducted on data with non‐Gaussian distributions because the separation of the mean and the variance is less clear‐cut for non‐Gaussian than for Gaussian models. Nonetheless, there are solutions to approximate repeatability for the most widely used families of generalized linear mixed models (GLMMs). Here, we introduce the R package rptR for the estimation of ICC and R for Gaussian, binomial and Poisson‐distributed data. Uncertainty in estimators is quantified by parametric bootstrapping and significance testing is implemented by likelihood ratio tests and through permutation of residuals. The package allows control for fixed effects and thus the estimation of adjusted repeatabilities (that remove fixed effect variance from the estimate) and enhanced agreement repeatabilities (that add fixed effect variance to the denominator). Furthermore, repeatability can be estimated from random‐slope models. The package features convenient summary and plotting functions. Besides repeatabilities, the package also allows the quantification of coefficients of determination R 2 as well as of raw variance components. We present an example analysis to demonstrate the core features and discuss some of the limitations of rptR.
    Type of Medium: Online Resource
    ISSN: 2041-210X , 2041-210X
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2017
    detail.hit.zdb_id: 2528492-7
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  • 8
    In: Methods in Ecology and Evolution, Wiley, Vol. 8, No. 2 ( 2017-02), p. 257-267
    Abstract: Phenotypic variation exists in and at all levels of biological organization: variation exists among species, among‐individuals within‐populations, and in the case of l within‐populations abile traits, within‐individuals. Mixed‐effects models represent ideal tools to quantify multilevel measurements of traits and are being increasingly used in evolutionary ecology. Mixed‐effects models are relatively complex, and two main issues may be hampering their proper usage: (i) the relatively few educational resources available to teach new users how to implement and interpret them and (ii) the lack of tools to ensure that the statistical parameters of interest are correctly estimated. In this paper, we introduce Statistical Quantification of Individual Differences ( SQ u ID ), a simulation‐based tool that can be used for research and educational purposes. SQ u ID creates a virtual world inhabited by subjects whose phenotypes are generated by a user‐defined phenotypic equation, which allows easy translation of biological hypotheses into quantifiable parameters. Statistical Quantification of Individual Differences currently models normally distributed traits with linear predictors, but SQ u ID is subject to further development and will adapt to handle more complex scenarios in the future. The current framework is suitable for performing simulation studies, determining optimal sampling designs for user‐specific biological problems and making simulation‐based inferences to aid in the interpretation of empirical studies. Statistical Quantification of Individual Differences is also a teaching tool for biologists interested in learning, or teaching others, how to implement and interpret linear mixed‐effects models when studying the processes causing phenotypic variation. Interface‐based modules allow users to learn about these issues. As research on effects of sampling designs continues, new issues will be implemented in new modules, including nonlinear and non‐ G aussian data.
    Type of Medium: Online Resource
    ISSN: 2041-210X , 2041-210X
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2017
    detail.hit.zdb_id: 2528492-7
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  • 9
    Online Resource
    Online Resource
    Wiley ; 2016
    In:  Methods in Ecology and Evolution Vol. 7, No. 8 ( 2016-08), p. 980-989
    In: Methods in Ecology and Evolution, Wiley, Vol. 7, No. 8 ( 2016-08), p. 980-989
    Abstract: Electronic tags have revolutionised animal movement studies, but the reliability of subsequent ecological inference hinges on being able to quantify uncertainty in location estimates. Light‐based geolocation, which uses the time series of light intensity during twilight events, remains the only viable technology for many species (e.g. fish and small birds) despite its limited accuracy. Modern approaches to movement modelling, such as Kalman filters and gridded hidden Markov models, require a valid likelihood for each observed twilight. It is difficult to directly construct such a likelihood (i.e. the probability density of the light data during a twilight period) given any location on the globe, because of complicated autocorrelation structures and non‐standard statistical distributions. We therefore use data from moored tags at known locations to construct a transformation that turns a simple one‐dimensional statistic into a quantity with the properties of a log‐likelihood. The result is a set of calibration splines that can be used with light data from a similar tag deployed on a real animal: for each twilight, the one‐dimensional statistic is calculated for any location (e.g. on a grid of, or all possible, locations) and then transformed into a likelihood using the calibration splines. The likelihoods can then be input to any state‐space model to estimate a track. We show an example track from a grid‐based hidden Markov model applied to light data from a tag deployed on a southern bluefin tuna. This approach to light‐based geolocation provides the flexibility to integrate movement and behaviour modelling in a novel way. The likelihood surfaces from our approach can be used in any state‐space model of animal movement and behaviour, irrespective of whether estimation is by maximum‐likelihood or Bayesian methods. Our approach is primarily aimed at users interested in developing and fitting their own state‐space models to explore biological hypotheses about animal behaviour.
    Type of Medium: Online Resource
    ISSN: 2041-210X , 2041-210X
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2016
    detail.hit.zdb_id: 2528492-7
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  • 10
    Online Resource
    Online Resource
    Wiley ; 2017
    In:  Methods in Ecology and Evolution Vol. 8, No. 8 ( 2017-08), p. 918-931
    In: Methods in Ecology and Evolution, Wiley, Vol. 8, No. 8 ( 2017-08), p. 918-931
    Abstract: Routine assessments of overall sexual selection, including comparisons of its direction and intensity between sexes or species, rely on summary metrics that capture the essence of sexual selection. Nearly all currently employed metrics require population‐wide estimates of individual mating success and reproductive success. The resulting sexual selection metrics, however, can heavily and systematically vary with the chosen approaches in terms of sampling, measurement, and analysis. Our review illustrates this variation, using the Bateman gradient, a particularly prominent sexual selection metric. It represents the selection gradient on mating success and – given the latter's pivotal role in defining sexual selection – reflects a trait‐independent integrative proxy for the maximum strength of sexual selection. Drawing from a recent meta‐analysis, we evaluate potential biases arising from study design, data collection and parameter estimation, and provide suggestions to mitigate such biases in future studies. With respect to study design, we argue that currently almost inexistent manipulative studies must complement the dominating correlative studies to inform us about causality in sexual selection. With respect to data collection, we outline how different measures of mating and reproductive success affect the components of sexual (and natural) selection that are reflected in standard summary metrics. With respect to parameter estimation, we show the potential impact of decisions about data inclusion and the chosen quantitative approach on inferences of sexual selection and its sex difference. We expect this meta‐analytical review to aid future studies in providing less biased and more informative estimates of sexual selection.
    Type of Medium: Online Resource
    ISSN: 2041-210X , 2041-210X
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2017
    detail.hit.zdb_id: 2528492-7
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