GLORIA

GEOMAR Library Ocean Research Information Access

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    In: Research Ideas and Outcomes, Pensoft Publishers, Vol. 5 ( 2019-10-04)
    Abstract: The functioning and service provisioning of ecosystems in the face of anthropogenic environmental and biodiversity change is a cornerstone of ecological research. The last three decades of biodiversity–ecosystem functioning (BEF) research have provided compelling evidence for the significant positive role of biodiversity in the functioning of many ecosystems. Despite broad consensus of this relationship, the underlying ecological and evolutionary mechanisms have not been well understood. This complicates the transition from a description of patterns to a predictive science. The proposed Research Unit aims at filling this gap of knowledge by applying novel experimental and analytical approaches in one of the longest-running biodiversity experiments in the world: the Jena Experiment. The central aim of the Research Unit is to uncover the mechanisms that determine BEF relationships in the short- and in the long-term. Increasing BEF relationships with time in long-term experiments do not only call for a paradigm shift in the appreciation of the relevance of biodiversity change, they likely are key to understanding the mechanisms of BEF relationships in general. The subprojects of the proposed Research Unit fall into two tightly linked main categories with two research areas each that aim at exploring variation in community assembly processes and resulting differences in biotic interactions as determinants of the long-term BEF relationship. Subprojects under “Microbial community assembly” and “Assembly and functions of animal communities” mostly focus on plant diversity effects on the assembly of communities and their feedback effects on biotic interactions and ecosystem functions. Subprojects under “Mediators of plant-biotic interactions” and “Intraspecific diversity and micro-evolutionary changes” mostly focus on plant diversity effects on plant trait expression and micro-evolutionary adaptation, and subsequent feedback effects on biotic interactions and ecosystem functions. This unification of evolutionary and ecosystem processes requires collaboration across the proposed subprojects in targeted plant and soil history experiments using cutting-edge technology and will produce significant synergies and novel mechanistic insights into BEF relationships. The Research Unit of the Jena Experiment is uniquely positioned in this context by taking an interdisciplinary and integrative approach to capture whole-ecosystem responses to changes in biodiversity and to advance a vibrant research field.
    Type of Medium: Online Resource
    ISSN: 2367-7163
    Language: Unknown
    Publisher: Pensoft Publishers
    Publication Date: 2019
    detail.hit.zdb_id: 2833254-4
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    In: Molecular Ecology, Wiley, Vol. 21, No. 15 ( 2012-08), p. 3704-3717
    Type of Medium: Online Resource
    ISSN: 0962-1083
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2012
    detail.hit.zdb_id: 2020749-9
    detail.hit.zdb_id: 1126687-9
    SSG: 12
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    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
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 4
    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
    SSG: 12
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 5
    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
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 6
    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
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 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
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 8
    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
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 9
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2016
    In:  G3 Genes|Genomes|Genetics Vol. 6, No. 12 ( 2016-12-01), p. 3903-3911
    In: G3 Genes|Genomes|Genetics, Oxford University Press (OUP), Vol. 6, No. 12 ( 2016-12-01), p. 3903-3911
    Abstract: Theory makes several predictions concerning differences in genetic variation between the X chromosome and the autosomes due to male X hemizygosity. The X chromosome should: (i) typically show relatively less standing genetic variation than the autosomes, (ii) exhibit more variation in males compared to females because of dosage compensation, and (iii) potentially be enriched with sex-specific genetic variation. Here, we address each of these predictions for lifespan and aging in Drosophila melanogaster. To achieve unbiased estimates of X and autosomal additive genetic variance, we use 80 chromosome substitution lines; 40 for the X chromosome and 40 combining the two major autosomes, which we assay for sex-specific and cross-sex genetic (co)variation. We find significant X and autosomal additive genetic variance for both traits in both sexes (with reservation for X-linked variation of aging in females), but no conclusive evidence for depletion of X-linked variation (measured through females). Males display more X-linked variation for lifespan than females, but it is unclear if this is due to dosage compensation since also autosomal variation is larger in males. Finally, our results suggest that the X chromosome is enriched for sex-specific genetic variation in lifespan but results were less conclusive for aging overall. Collectively, these results suggest that the X chromosome has reduced capacity to respond to sexually concordant selection on lifespan from standing genetic variation, while its ability to respond to sexually antagonistic selection may be augmented.
    Type of Medium: Online Resource
    ISSN: 2160-1836
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2016
    detail.hit.zdb_id: 2629978-1
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 10
    Online Resource
    Online Resource
    Wiley ; 2018
    In:  Ecology and Evolution Vol. 8, No. 15 ( 2018-08), p. 7273-7284
    In: Ecology and Evolution, Wiley, Vol. 8, No. 15 ( 2018-08), p. 7273-7284
    Abstract: Discrete color polymorphisms represent a fascinating aspect of intraspecific diversity. Color morph ratios often vary clinally, but in some cases, there are no marked clines and mixes of different morphs occur at appreciable frequencies in most populations. This poses the questions of how polymorphisms are maintained. We here study the spatial and temporal distribution of a very conspicuous color polymorphism in the club‐legged grasshopper Gomphocerus sibiricus . The species occurs in a green and a nongreen (predominately brown) morph, a green–brown polymorphism that is common among Orthopteran insects. We sampled color morph ratios at 42 sites across the alpine range of the species and related color morph ratios to local habitat parameters and climatic conditions. Green morphs occurred in both sexes, and their morph ratios were highly correlated among sites, suggesting shared control of the polymorphism in females and males. We found that in at least 40 of 42 sites green and brown morphs co‐occurred with proportions of green ranging from 0% to 70% with significant spatial heterogeneity. The proportion of green individuals tended to increase with decreasing summer and winter precipitations. Nongreen individuals can be further distinguished into brown and pied individuals, and again, this polymorphism is shared with other grasshopper species. We found pied individuals at all sites with proportions ranging from 3% to 75%, with slight, but significant variation between years. Pied morphs show a clinal increase in frequency from east to west and decreased with altitude and lower temperatures and were more common on grazed sites. The results suggest that both small‐scale and large‐scale spatial heterogeneity affects color morph ratios. The almost universal co‐occurrence of all three color morphs argues against strong effects of genetic drift. Instead, the data suggest that small‐scale migration–selection balance and/or local balancing selection maintain populations polymorphic.
    Type of Medium: Online Resource
    ISSN: 2045-7758 , 2045-7758
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 2635675-2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...