Noise in Visual Communication: Motion from Wind-Blown Plants

Peters, Richard

doi:10.1007/978-3-642-41494-7_11

Cited by 11 publications

(21 citation statements)

References 56 publications

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“…Environments feature a variety of plant species and multiple exemplars of the same species, yet each plant will move differently in response to wind due to differences in plant structure and geometry (Peters, ). In addition to plant geometry, wind‐induced plant movements are determined by habitat location and topography affecting relative exposure to wind (Hannah, Palutikof, & Quine, ), and the presence of other plants in the environment that affect the characteristics of wind (De Langre, ).…”

Section: Discussionmentioning

confidence: 99%

“…For each, the functioning cones are shown (left column) along with a representation of the scene utilizing the functioning cones (centre column), and a salience map for a single frame (right column). Conversion of images to deuteranopia and tritanopia undertaken according to (Machado, Oliveira, & Fernandes, 2009) (Peters, 2013). In addition to plant geometry, wind-induced plant movements are determined by habitat location and topography affecting relative exposure to wind (Hannah, Palutikof, & Quine, 1995), and the presence of other plants in the environment that affect the characteristics of wind (De Langre, 2008).…”

Section: Translocations In a Simulated Environmentmentioning

confidence: 99%

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Integrating evolutionary biology with digital arts to quantify ecological constraints on vision‐based behaviour

et al. 2017

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Motion vision is crucial in the life of animals, in controlling locomotion, in foraging, for predator evasion and in communication. However, information on the conditions for motion vision in natural environments is limited. Advancing knowledge of the ecological limitations that affect functional behaviour requires novel methodologies. To explore motion ecology in more detail we describe an innovative method that integrates evolutionary biology with digital arts. A visualization tool that simulates three spatial dimensions plus movement through time, 3D animation is an innovative approach to understand dynamic environments. Animal signalling systems have provided useful insights into ecological limitations on behaviour, and we demonstrate the utility of our approach by examining motion displays of lizards surrounded by plant motion noise. The effectiveness of signals in noise was considered under different circumstances, and in each case, we had complete control over the simulations. We used these scenarios to both validate our approach and to demonstrate its potential. The relevance to motion signalling of prevailing wind and resultant plant motion is now well established and we begin by replicating this effect and illustrate how we can explore this in quantitative detail. We further demonstrate its utility by providing novel insights into the benefits of signalling in the right place and at the right time, by manipulating immediate signalling backgrounds, variation in signaller–plant distances and light environments. Each of these simulations provide opportunities for investigation that would be impossible in nature. Systematic measurements of motion ecology in detail are now achievable. In addition to insights into the evolution of motion signals, 3D environmental reconstruction will provide a test bed for other topics in the field of motion ecology, and a resource to enhance public engagement with science.

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Section: Discussionmentioning

confidence: 99%

Section: Translocations In a Simulated Environmentmentioning

confidence: 99%

Integrating evolutionary biology with digital arts to quantify ecological constraints on vision‐based behaviour

et al. 2017

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“…Plants are complex structures, so selecting parts of plants to be representative of the plants' movements is problematic. Until we know more about plant motion at the microhabitat level Peters, 2013;Powell and Leal, 2014), we accept that plant motion noise might vary to some extent as you move around a plant and as such we have simplified the treatment of noise. Importantly, by adopting a standardized approach to recording plant motion in the field we ensure consistency within and between habitats.…”

Section: Limitationsmentioning

confidence: 99%

“…The efficacy of motion signals will depend very much on microhabitat structure as well as the position of both signaler and receiver (Zeil and Hemmi, 2006;How et al, 2008;Peters, 2010Peters, , 2013Steinberg and Leal, 2013). By way of illustration, Figure 1 represents a hypothetical scene in which a lizard is positioned in the middle of the habitat and surrounded by vegetation that might interfere with the reliable detection of the lizard's display.…”

Section: Introductionmentioning

confidence: 99%

Quantifying Ecological Constraints on Motion Signaling

Ramos

Peters

2017

Front. Ecol. Evol.

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The environment in which animal signals are generated has the potential to affect transmission and reliable detection by receivers. To understand such constraints, it is important to quantify both signals and noise in detail. Investigations of acoustic and color signals now utilize established methods, but quantifying motion-based visual signals and noise remains rudimentary. In this paper, we encourage a more complete consideration of motion signaling environments and describe an approach to quantifying signal and noise in detail. Signals are reconstructed in three-dimensions, microhabitats are mapped and the noise environment quantified in a standardized manner. Information on signal and noise is combined to consider signal contrast from multiple viewpoints, and in any of the habitats we map. We illustrate our approach by examining signals and noise for two allopatric populations of the Australian mallee military dragon Ctenophorus fordi. By "placing" signals in different microhabitats we observed similar signal contrast results within populations, but clear differences when considered in microhabitats of the other population. These preliminary results are consistent with the hypothesis that habitat structure has affected display structure in these populations of lizards. Our novel methodology will facilitate the examination of habitat-dependent convergence and divergence in motion signal structure in a variety of taxonomic groups and habitats. Furthermore, we anticipate application of our approach to consider the visual ecology of animals more broadly.

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“…As the geometry of plants varies from one to another, the physical response to wind will likely be different even within the same species, while the topography of individual habitats will affect the plants' relative exposure to wind (Hannah et al, 1995). Different microhabitats are thus likely to reflect distinct "image motion environments" (Peters, 2013). Therefore, the first question guiding the present study was: how does variation in environmental conditions constrain the efficacy of a movementbased signal?…”

Section: Introductionmentioning

confidence: 99%