Journal articles: 'Visual ecology'

1

Stevens, Martin. "Visual Ecology." Marine and Freshwater Behaviour and Physiology 48, no. 3 (March 18, 2015): 221–23. http://dx.doi.org/10.1080/10236244.2015.1024077.

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Finlay, Barbara L. "Review: Visual Ecology." Perception 44, no. 5 (January 2015): 604–5. http://dx.doi.org/10.1068/p4405rvw.

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Latypova, Alina R., Alexander S. Lenkevich, Daria A. Kolesnikova, and Konstantin A. Ocheretyany. "Study of Visual Garbage as Visual Ecology Perspective." Galactica Media: Journal of Media Studies 4, no. 2 (June 27, 2022): 153–72. http://dx.doi.org/10.46539/gmd.v4i2.283.

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The following article explores the notion of visual garbage and considers various strategies for its recycling, upcycling, and use. Visual garbage is investigated in the context of media sphere development and the theory of garbage itself. The authors propose to analyse such approaches of visual garbage use, as visual camouflage and glitch art, as well as to examine the principles of visual garbage recycling in terms of the Aristotelian conception of causality. Understanding garbage as a medium helps not only to uncover the features of its circulation, but also to consider garbage as a source of knowledge accumulation. Moreover, it helps to find new social, political and aesthetic strategies for understanding contemporaneity, which in turn allows us to draw conclusions about the untapped potential of visual garbage. Visual garbage not only becomes a source of visual pollution, but also contains a resource for reality conversion. In order to determine the criteria for visual pollution, it is necessary to examine the performative productivity of garbage and its effect as a mediating tool.

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Marcum, James W. "Beyond Visual Culture: The Challenge of Visual Ecology." portal: Libraries and the Academy 2, no. 2 (2002): 189–206. http://dx.doi.org/10.1353/pla.2002.0038.

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Allan, S. A., J. F. Day, and J. D. Edman. "Visual Ecology of Biting Flies." Annual Review of Entomology 32, no. 1 (January 1987): 297–314. http://dx.doi.org/10.1146/annurev.en.32.010187.001501.

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Kolesnikova, Daria A., and Alina R. Latypova. "Towards Visual Ecology of Digital City." Galactica Media: Journal of Media Studies 4, no. 3 (October 3, 2022): 17–34. http://dx.doi.org/10.46539/gmd.v4i3.310.

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Contemporary city is a digital city. It is real and the techniques of its living are no poorer than the techniques of developing pre-digital cities. The city of the digital age does not dissolve into virtuality but, on the contrary, acquires new levels and dimensions. It is expanding, as is the range of the models managing it, which are formed on the basis of new technologies. The city is turning into a complex mechanism that produces and processes data flows. Architecture, urban management, and practices of citizens are increasingly basing on digital technologies. In the article, the authors set the context of the thematic issue through the introduction of two registers of visuality of contemporary city: a visible city that changes under the influence of the digital, and an invisible city created by algorithms.

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Cormack, Lawrence K. "Visual Perception: Physiology, Psychology, and Ecology." Optometry and Vision Science 75, no. 12 (December 1998): 855. http://dx.doi.org/10.1097/00006324-199812000-00005.

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Hart, Nathan S. "The Visual Ecology of Avian Photoreceptors." Progress in Retinal and Eye Research 20, no. 5 (September 2001): 675–703. http://dx.doi.org/10.1016/s1350-9462(01)00009-x.

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Zeil, Jochen, and Jan M. Hemmi. "The visual ecology of fiddler crabs." Journal of Comparative Physiology A 192, no. 1 (December 10, 2005): 1–25. http://dx.doi.org/10.1007/s00359-005-0048-7.

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10

Warrant, Eric J. "Visual Ecology: Hiding in the Dark." Current Biology 17, no. 6 (March 2007): R209—R211. http://dx.doi.org/10.1016/j.cub.2007.01.043.

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11

Nilsson, Dan-E., Eric Warrant, and Sönke Johnsen. "Computational visual ecology in the pelagic realm." Philosophical Transactions of the Royal Society B: Biological Sciences 369, no. 1636 (February 19, 2014): 20130038. http://dx.doi.org/10.1098/rstb.2013.0038.

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Visual performance and visual interactions in pelagic animals are notoriously hard to investigate because of our restricted access to the habitat. The pelagic visual world is also dramatically different from benthic or terrestrial habitats, and our intuition is less helpful in understanding vision in unfamiliar environments. Here, we develop a computational approach to investigate visual ecology in the pelagic realm. Using information on eye size, key retinal properties, optical properties of the water and radiance, we develop expressions for calculating the visual range for detection of important types of pelagic targets. We also briefly apply the computations to a number of central questions in pelagic visual ecology, such as the relationship between eye size and visual performance, the maximum depth at which daylight is useful for vision, visual range relations between prey and predators, counter-illumination and the importance of various aspects of retinal physiology. We also argue that our present addition to computational visual ecology can be developed further, and that a computational approach offers plenty of unused potential for investigations of visual ecology in both aquatic and terrestrial habitats.

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Chu, Dong. "Aesthetic Visual Ecology and Urban Landscape Planning." Advanced Materials Research 255-260 (May 2011): 1479–83. http://dx.doi.org/10.4028/www.scientific.net/amr.255-260.1479.

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The guiding ideology of modern urban planning has changed from space theory to the ecological theory. Urban landscape ecological planning is concerned about “Design with Nature” based on the ecological and the holistic point of view. The philosophy of the aesthetic visual ecology is to achieve the transformation from the traditional “physical planning” to the “ecological planning” in the urban design. The consideration of the aesthetic visual ecology will be a major step in humanizing and re-shaping the urban landscape, which will also serve as a guide in the urbanization of China.

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O'Carroll, D. C., N. J. Bidweii, S. B. Laughlin, and E. J. Warrant. "Insect motion detectors matched to visual ecology." Nature 382, no. 6586 (July 1996): 63–66. http://dx.doi.org/10.1038/382063a0.

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14

Smith, Andrew T. "Review: Visual Perception: Physiology, Psychology and Ecology." Perception 26, no. 9 (September 1997): 1211–12. http://dx.doi.org/10.1068/p261211.

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15

Slingsby, A., and E. van Loon. "Exploratory Visual Analysis for Animal Movement Ecology." Computer Graphics Forum 35, no. 3 (June 2016): 471–80. http://dx.doi.org/10.1111/cgf.12923.

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16

VIRSU, VEIJO, and RIITTA HARI. "Cortical Magnification, Scale Invariance and Visual Ecology." Vision Research 36, no. 18 (September 1996): 2971–77. http://dx.doi.org/10.1016/0042-6989(95)00344-4.

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Chung, Wen-Sung, and N. Justin Marshall. "Comparative visual ecology of cephalopods from different habitats." Proceedings of the Royal Society B: Biological Sciences 283, no. 1838 (September 14, 2016): 20161346. http://dx.doi.org/10.1098/rspb.2016.1346.

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Previous investigations of vision and visual pigment evolution in aquatic predators have focused on fish and crustaceans, generally ignoring the cephalopods. Since the first cephalopod opsin was sequenced in late 1980s, we now have data on over 50 cephalopod opsins, prompting this functional and phylogenetic examination. Much of this data does not specifically examine the visual pigment spectral absorbance position ( λ max ) relative to environment or lifestyle, and cephalopod opsin functional adaptation and visual ecology remain largely unknown. Here we introduce a new protocol for photoreceptor microspectrophotometry (MSP) that overcomes the difficulty of bleaching the bistable visual pigment and that reveals eight coastal coleoid cephalopods to be monochromatic with λ max varying from 484 to 505 nm. A combination of current MSP results, the λ max values previously characterized using cephalopod retinal extracts (467–500 nm) and the corresponding opsin phylogenetic tree were used for systematic comparisons with an end goal of examining the adaptations of coleoid visual pigments to different light environments. Spectral tuning shifts are described in response to different modes of life and light conditions. A new spectral tuning model suggests that nine amino acid substitution sites may determine the direction and the magnitude of spectral shifts.

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18

No authorship indicated. "Review of Visual Perception: Physiology, Psychology, and Ecology." Contemporary Psychology: A Journal of Reviews 34, no. 3 (March 1989): 299. http://dx.doi.org/10.1037/027857.

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19

Hart, Nathan S., Helena J. Bailes, Misha Vorobyev, N. Justin Marshall, and Shaun P. Collin. "Visual ecology of the Australian lungfish (Neoceratodus forsteri)." BMC Ecology 8, no. 1 (2008): 21. http://dx.doi.org/10.1186/1472-6785-8-21.

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20

Frolov, Roman, Esa-Ville Immonen, and Matti Weckström. "Visual ecology and potassium conductances of insect photoreceptors." Journal of Neurophysiology 115, no. 4 (April 1, 2016): 2147–57. http://dx.doi.org/10.1152/jn.00795.2015.

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Voltage-activated potassium channels (Kv channels) in the microvillar photoreceptors of arthropods are responsible for repolarization and regulation of photoreceptor signaling bandwidth. On the basis of analyzing Kv channels in dipteran flies, it was suggested that diurnal, rapidly flying insects predominantly express sustained K+ conductances, whereas crepuscular and nocturnally active animals exhibit strongly inactivating Kv conductances. The latter was suggested to function for minimizing cellular energy consumption. In this study we further explore the evolutionary adaptations of the photoreceptor channelome to visual ecology and behavior by comparing K+ conductances in 15 phylogenetically diverse insects, using patch-clamp recordings from dissociated ommatidia. We show that rapid diurnal flyers such as the blowfly ( Calliphora vicina) and the honeybee ( Apis mellifera) express relatively large noninactivating Kv conductances, conforming to the earlier hypothesis in Diptera. Nocturnal and/or slow-moving species do not in general exhibit stronger Kv conductance inactivation in the physiological membrane voltage range, but the photoreceptors in species that are known to rely more on vision behaviorally had higher densities of sustained Kv conductances than photoreceptors of less visually guided species. No statistically significant trends related to visual performance could be identified for the rapidly inactivating Kv conductances. Counterintuitively, strong negative correlations were observed between photoreceptor capacitance and specific membrane conductance for both sustained and inactivating fractions of Kv conductance, suggesting insignificant evolutionary pressure to offset negative effects of high capacitance on membrane filtering with increased conductance.

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21

Coates, M. M. "Visual Ecology and Functional Morphology of Cubozoa (Cnidaria)." Integrative and Comparative Biology 43, no. 4 (August 1, 2003): 542–48. http://dx.doi.org/10.1093/icb/43.4.542.

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Lunau, K. "The ecology and evolution of visual pollen signals." Plant Systematics and Evolution 222, no. 1-4 (2000): 89–111. http://dx.doi.org/10.1007/bf00984097.

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23

Holloway, Susan Marie. "Visual Literacies: An Ecology Arts-based Pedagogical Model." Language and Literacy 14, no. 3 (November 30, 2012): 150. http://dx.doi.org/10.20360/g2r59f.

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The study explores visual literacies and critical literacies students may experience utilizing photography aimed at engaging youth in thinking more deeply about their relationships to the environment and the communities they live in. This is a case study based on interviews with a total of 5 participants. I argue that visual literacy expands students’ opportunities to build productively upon print-based literacy practices, evens the playing field to some extent for English Language Learners, and connects youth in creative ways to think about being citizens in their communities and the world.

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24

Potier, Simon, Francesco Bonadonna, Almut Kelber, Graham R. Martin, Pierre-François Isard, Thomas Dulaurent, and Olivier Duriez. "Visual abilities in two raptors with different ecology." Journal of Experimental Biology 219, no. 17 (June 17, 2016): 2639–49. http://dx.doi.org/10.1242/jeb.142083.

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25

Chappell, Daniel R., and Daniel I. Speiser. "Visual Ecology: Now You See, Now You Don’t." Current Biology 30, no. 2 (January 2020): R71—R73. http://dx.doi.org/10.1016/j.cub.2019.12.002.

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26

Partridge, J. C. "The visual ecology of avian cone oil droplets." Journal of Comparative Physiology A 165, no. 3 (1989): 415–26. http://dx.doi.org/10.1007/bf00619360.

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27

Cronin, Thomas W., N. Justin Marshall, and Roy L. Caldwell. "Spectral tuning and the visual ecology of mantis shrimps." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 355, no. 1401 (September 29, 2000): 1263–67. http://dx.doi.org/10.1098/rstb.2000.0680.

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The compound eyes of mantis shrimps (stomatopod crustaceans) include an unparalleled diversity of visual pigments and spectral receptor classes in retinas of each species. We compared the visual pigment and spectral receptor classes of 12 species of gonodactyloid stomatopods from a variety of photic environments, from intertidal to deep water (> 50 m), to learn how spectral tuning in the different photoreceptor types is modified within different photic environments. Results show that receptors of the peripheral photoreceptors, those outside the midband which are responsible for standard visual tasks such as spatial vision and motion detection, reveal the well–known pattern of decreasing λ max with increasing depth. Receptors of midband rows 5 and 6, which are specialized for polarization vision, are similar in all species, having visual λ max –values near 500 nm, independent of depth. Finally, the spectral receptors of midband rows 1 to 4 are tuned for maximum coverage of the spectrum of irradiance available in the habitat of each species. The quality of the visual worlds experienced by each species we studied must vary considerably, but all appear to exploit the full capabilities offered by their complex visual systems.

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DAVIES, WAYNE I. L., SHAUN P. COLLIN, and DAVID M. HUNT. "Molecular ecology and adaptation of visual photopigments in craniates." Molecular Ecology 21, no. 13 (May 31, 2012): 3121–58. http://dx.doi.org/10.1111/j.1365-294x.2012.05617.x.

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Potier, Simon, Olivier Duriez, Gregory B. Cunningham, Vincent Bonhomme, Colleen O'Rourke, Esteban Fernández-Juricic, and Francesco Bonadonna. "Visual field shape and foraging ecology in diurnal raptors." Journal of Experimental Biology 221, no. 14 (May 18, 2018): jeb177295. http://dx.doi.org/10.1242/jeb.177295.

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سکر, محمود. "Modern Visual Poetry and Ecology: Towards Establishing “Eco-Visual Poetry” As A New Poetic Genre." مجلة المعهد العالي للدراسات النوعية 2, no. 1 (January 1, 2022): 283–302. http://dx.doi.org/10.21608/hiss.2022.190289.

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31

Angus, Siobhan. "Atomic Ecology." October, no. 179 (2022): 110–31. http://dx.doi.org/10.1162/octo_a_00450.

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Abstract Susanne Kriemann's Pechblende explores the material histories and visual (im)possibilities of uranium. Through a focus on the materiality of uranium, the article explores how the medium of photography is entangled with atomic histories by focusing on a series of exhibitions that explore the histories of photography, mining, and the damage slowly wrought by environmental change. While the violence of uranium exposure eludes vision, atomic light materially challenges the boundaries of the visible and the invisible, most tangibly shown in X-rays and autoradiographs, the camera-less exposures “taken” by uranium. Reading Kriemann's work through an eco-critical lens that centers environmental justice and labor, I explore the role of photography and the archive in the Anthropocene. Kriemann's counter-archival photographic practice draws attention to the socio-ecological costs of resource extraction while probing the limits of the visible. The materiality of the climate crisis necessitates thinking about materials—and the tangible consequences of their use—alongside questions of representation.

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Pryshchenko, Svitlana. "Ecology of Сulture: Visual Stereotypes in Advertising vs. Creative Technologies." Demiurge: Ideas, Technologies, Perspectives of Design 3, no. 2 (December 23, 2020): 221–40. http://dx.doi.org/10.31866/2617-7951.3.2.2020.220081.

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33

Veilleux, Carrie C., and E. Christopher Kirk. "Visual Acuity in Mammals: Effects of Eye Size and Ecology." Brain, Behavior and Evolution 83, no. 1 (2014): 43–53. http://dx.doi.org/10.1159/000357830.

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34

Osorio, D., A. Miklósi, and Zs Gonda. "Visual Ecology and Perception of Coloration Patterns by Domestic Chicks." Evolutionary Ecology 13, no. 7-8 (November 1999): 673–89. http://dx.doi.org/10.1023/a:1011059715610.

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Lauder, Adam, and Marcia Salmon. "IAINBAXTER&raisonnE: A Media Ecology Perspective for Visual Resources." Visual Resources 30, no. 1 (January 2, 2014): 57–81. http://dx.doi.org/10.1080/01973762.2014.879400.

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36

Tseng, Yuan-Chi, and Andrew Howes. "The adaptation of visual search to utility, ecology and design." International Journal of Human-Computer Studies 80 (August 2015): 45–55. http://dx.doi.org/10.1016/j.ijhcs.2015.03.005.

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37

Weckström, Matti, and Simon B. Laughlin. "Visual ecology and voltage-gated ion channels in insect photoreceptors." Trends in Neurosciences 18, no. 1 (January 1995): 17–21. http://dx.doi.org/10.1016/0166-2236(95)93945-t.

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38

Wolf, Kit. "Visual Ecology: Coloured Fruit is What the Eye Sees Best." Current Biology 12, no. 7 (April 2002): R253—R255. http://dx.doi.org/10.1016/s0960-9822(02)00785-6.

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39

Montaño, Sonia, and Suzana Kilpp. "Traffic and connectivities on the web: an audio-visual ecology." Matrizes 6, no. 1-2 (December 11, 2012): 129. http://dx.doi.org/10.11606/issn.1982-8160.v6i1-2p129-144.

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Cantlay, Jennifer C., Steven J. Portugal, and Graham R. Martin. "Visual fields and foraging ecology of Blacksmith Lapwings Vanellus armatus." Ibis 161, no. 4 (April 4, 2019): 895–900. http://dx.doi.org/10.1111/ibi.12725.

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41

No authorship indicated. "Review of Visual Perception: Physiology, Psychology and Ecology (2nd ed.)." Contemporary Psychology: A Journal of Reviews 36, no. 11 (November 1991): 1009. http://dx.doi.org/10.1037/030420.

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42

Veilleux, Carrie C., Rachel L. Jacobs, Molly E. Cummings, Edward E. Louis, and Deborah A. Bolnick. "Opsin Genes and Visual Ecology in a Nocturnal Folivorous Lemur." International Journal of Primatology 35, no. 1 (September 12, 2013): 88–107. http://dx.doi.org/10.1007/s10764-013-9708-6.

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43

Woodhouse, J. M., S. Zeki, and J. Harris. "Reviews: Visual Perception: Physiology, Psychology and Ecology, Models of the Visual Cortex, Drugs and the Brain." Perception 16, no. 4 (August 1987): 549–51. http://dx.doi.org/10.1068/p160549.

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44

Arrese, C., M. Archer, and L. D. Beazley. "Visual capabilities in a crepuscular marsupial, the honey possum (Tarsipes rostratus): a visual approach to ecology." Journal of Zoology 256, no. 2 (February 28, 2006): 151–58. http://dx.doi.org/10.1017/s0952836902000183.

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45

Fry, G., M. S. Tveit, Å. Ode, and M. D. Velarde. "The ecology of visual landscapes: Exploring the conceptual common ground of visual and ecological landscape indicators." Ecological Indicators 9, no. 5 (September 2009): 933–47. http://dx.doi.org/10.1016/j.ecolind.2008.11.008.

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46

Mayo, Megan, and Jan Ng. "Understanding Sensory Ecology." American Biology Teacher 78, no. 4 (April 1, 2016): 338–40. http://dx.doi.org/10.1525/abt.2016.78.4.338.

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As visual creatures, humans sometimes have difficulty understanding how other organisms encounter their environments through nonvisual means. Many organisms rely predominantly or exclusively on senses other than sight, including olfaction, chemoreception, and thermoreception. This lesson will give high school students insights into how other organisms encounter their environment, the benefits and limitations of different senses, and why we should be aware of other organisms’ perceptions. Educating students about sensory ecology introduces fundamental concepts in physiology, ecology, and animal behavior. Students will learn a new vocabulary term (umwelt) and about the sensory ecology of other organisms via an active-participation presentation, collect and analyze data on sensory disruption of classmates, and put their new knowledge to work by brainstorming ways in which human activity interacts with the sensory ecology of wildlife through case studies (Common Core State Standard HS-LS2-7).

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Kwa, Chunglin. "The Visual Grasp of the Fragmented Landscape." Historical Studies in the Natural Sciences 48, no. 2 (April 1, 2018): 180–222. http://dx.doi.org/10.1525/hsns.2018.48.2.180.

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Between 1925 and 1980, landscape ecology underwent important changes through the gradual imposition of the view from above, through the uses of aerial photography. A new concept emerged, “the smallest unit of landscape,” also called ecotope and land unit, expressing a direct visual grasp of the landscape. This article compares the view from above as introduced and promoted by geographers Carl Troll and Isaak Zonneveld, with its (problematic) history vis-à-vis a school of ecology, i.e., plant sociology, led by Josias Braun-Blanquet and Reinhold Tüxen. This school’s internal struggles with balancing the physiognomic gaze (at the ground) and numerical methods are discussed. In comparison, the geographers based themselves on the mechanical objectivity of standardized aerial surveys, whereas the plant sociologists relied on their subjective expert judgment of plant recognition together with the structural objectivity of their numerical methods. An important communality of both schools was their inductive building of a landscape from its constituent landscape fragments. Landscape fragments were identified through abstraction and categorization, emanating from a taxonomical style of science.

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48

Ingersoll, Richard. "The Ecology Question." Journal of Architectural Education (1984-) 45, no. 2 (February 1992): 125. http://dx.doi.org/10.2307/1425281.

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van der Kooi, Casper J., Doekele G. Stavenga, Kentaro Arikawa, Gregor Belušič, and Almut Kelber. "Evolution of Insect Color Vision: From Spectral Sensitivity to Visual Ecology." Annual Review of Entomology 66, no. 1 (January 7, 2021): 435–61. http://dx.doi.org/10.1146/annurev-ento-061720-071644.

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Color vision is widespread among insects but varies among species, depending on the spectral sensitivities and interplay of the participating photoreceptors. The spectral sensitivity of a photoreceptor is principally determined by the absorption spectrum of the expressed visual pigment, but it can be modified by various optical and electrophysiological factors. For example, screening and filtering pigments, rhabdom waveguide properties, retinal structure, and neural processing all influence the perceived color signal. We review the diversity in compound eye structure, visual pigments, photoreceptor physiology, and visual ecology of insects. Based on an overview of the current information about the spectral sensitivities of insect photoreceptors, covering 221 species in 13 insect orders, we discuss the evolution of color vision and highlight present knowledge gaps and promising future research directions in the field.

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Hilasaca, Liz Huancapaza, Milton Cezar Ribeiro, and Rosane Minghim. "Visual Active Learning for Labeling: A Case for Soundscape Ecology Data." Information 12, no. 7 (June 29, 2021): 265. http://dx.doi.org/10.3390/info12070265.

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Labeling of samples is a recurrent and time-consuming task in data analysis and machine learning and yet generally overlooked in terms of visual analytics approaches to improve the process. As the number of tailored applications of learning models increases, it is crucial that more effective approaches to labeling are developed. In this paper, we report the development of a methodology and a framework to support labeling, with an application case as background. The methodology performs visual active learning and label propagation with 2D embeddings as layouts to achieve faster and interactive labeling of samples. The framework is realized through SoundscapeX, a tool to support labeling in soundscape ecology data. We have applied the framework to a set of audio recordings collected for a Long Term Ecological Research Project in the Cantareira-Mantiqueira Corridor (LTER CCM), localized in the transition between northeastern São Paulo state and southern Minas Gerais state in Brazil. We employed a pre-label data set of groups of animals to test the efficacy of the approach. The results showed the best accuracy at 94.58% in the prediction of labeling for birds and insects; and 91.09% for the prediction of the sound event as frogs and insects.

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Journal articles on the topic 'Visual ecology'

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