How viewing objects with the dorsal or ventral retina affects colour-related behaviour in guppies (Poecilia reticulata)

Sibeaux, Adélaïde; Keser, Madison L; Cole, Gemma L.; Kranz, Alexandrea M.; Endler, John A.

doi:10.1016/j.visres.2019.02.007

Cited by 5 publications

(13 citation statements)

References 46 publications

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“…To avoid making false assumptions, it is necessary to consider the perceptual context in which it is applied and how this context may violate model assumptions (Kelber, ; Lind, ; Olsson et al, ; Price, Stoddard, Shevell, & Bloch, ). For example, behavioural experiments have shown varying sensitivity to differences in colour in specific quadrants of colour space relevant to the behavioural ecology of species (Caves et al, ; Sibeaux, Cole, & Endler, ; Sibeaux, Keser, Cole, Kranz, & Endler, ). Another aspect that needs further investigation is the question of how distances in RNL colour space scale with behavioural thresholds across a wide range of visual systems and perceptual contexts (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…Using the previous orchid example, VCA could be used to investigate how polymorphism in our hypothetical population interacts with pollinator learning or differences in attractiveness to pollinators (Figure ). See the Supplemental Material, original publications (Endler, ; Endler & Mielke, ) and empirical studies (Endler & Houde, ; Sibeaux, Cole, et al, ) for further information.…”

Section: Methodsmentioning

confidence: 99%

“…For a detailed introduction to BSA, possible future research and guidance on parameter choices, please refer to the original publication (Endler et al, ) and empirical studies using BSA (e.g. Sibeaux, Cole, et al, ). For detailed equations and information on modifications of parameters since original publication, see the Supplemental Material.…”

Section: Methodsmentioning

confidence: 99%

“…Therefore, when there is no a priori reason to choose specific parameters, we recommend the use of multidimensional data analyses, such as principal component analysis (PCA), metric‐ and non‐metric multidimensional scaling (MMDS/NMDS) or similar multivariate approaches such as factor analysis to identify correlations between pattern analysis output and animal behaviour (e.g. Sibeaux, Cole, et al, ) or to distinguish between taxa (e.g. Chan et al, ; Ligon et al, ; Winters et al, ).…”

Section: Methodsmentioning

confidence: 99%

“…For example, not only is the efficiency of visual signals dependent on the presence or absence of colours, but also how those colours are arranged in patterns (e.g. Endler & Houde, ; Green, Urquhart, van den Berg, Marshall, & Cheney, ; Sibeaux, Cole, & Endler, ; Troscianko et al, ).…”

Section: Introductionmentioning

confidence: 99%

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Quantitative Colour Pattern Analysis (QCPA): A comprehensive framework for the analysis of colour patterns in nature

et al. 2019

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1. To understand the function of colour signals in nature, we require robust quantitative analytical frameworks to enable us to estimate how animal and plant colour patterns appear against their natural background as viewed by ecologically relevant species. Due to the quantitative limitations of existing methods, colour and pattern are rarely analysed in conjunction with one another, despite a large body of literature and decades of research on the importance of spatio-chromatic colour pattern analyses. Furthermore, key physiological limitations of animal visual systems such as spatial acuity, spectral sensitivities, photoreceptor abundances and receptor noise levels are rarely considered together in colour pattern analyses.2. Here, we present a novel analytical framework, called the Quantitative Colour Pattern Analysis (QCPA). We have overcome many quantitative and qualitative limitations of existing colour pattern analyses by combining calibrated digital photography and visual modelling. We have integrated and updated existing spatio-chromatic colour pattern analyses, including adjacency, visual contrast and boundary strength analysis, to be implemented using calibrated digital photography through the Multispectral Image Analysis and Calibration (MICA) Toolbox.3. This combination of calibrated photography and spatio-chromatic colour pattern analyses is enabled by the inclusion of psychophysical colour and luminance discrimination thresholds for image segmentation, which we call 'Receptor Noise Limited Clustering', used here for the first time. Furthermore, QCPA provides a novel psycho-physiological approach to the modelling of spatial acuity using convolution in the spatial or frequency domains, followed by 'Receptor Noise Limited Ranked Filtering' to eliminate intermediate edge artefacts and recover sharp boundaries following smoothing. We also present a new type of colour pattern analysis, the 'local edge intensity analysis' as well as a range of novel psycho-physiological approaches to the visualization of spatio-chromatic data. QCPA combines novel and existing pattern analysis frameworks into what we hope is a unified, free and open source toolbox and introduces a range of novel analyticalThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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