Adaptive peculiarities of pigmentation in the redbelly rock agama Paralaudakia erythrogastra (Nikolsky, 1896) (Agamidae)
Bibliographic record
Abstract
The aim of the study is to show the level of adaptation of reptiles to a natural habitat through skin pigmentation, using definitions of RGB coordinates, which are the main colour characteristics. Here, the coloration of the Redbelly Rock (Khorasan) Agama’s skin is compared with the shades of the enclosure simulating the mountain substrate, which is the natural habitat of the lizard. The following average parameters of RGB coordinates have been determined: imitation of the mountain substrate-RGB (170, 139, 128); the agama’s skin covering-RGB (177, 136, 100). The data obtained are indicative of the protective coloration in the agama. Keywords: Redbelly rock (Khorasan) agama; skin; pigmentation; protective coloration; habitat References: Ananjeva, N. B., Orlov, N. L., Khalikov, R. G., Darevsky, I. S., Ryabov, S. A., & Barabanov, A. V. (2006). The Reptiles of Northern Eurasia. Taxonomic Diversity, Distribution, Conservation Status. Sofia, PENSOFT Publishers, Sofia, Bulgaria. Bagnara, J. T., Taylor, J. D., & Hadley, M. E. (1968). The Dermal Chromatophore Unit. The Journal of Cell Biology, 38(1), 67-79. Baig, K. J., Wagner, P., Ananjeva, N. B., & Bohme, W. (2012). A morphology-based taxonomic revision of Laudakia Gray, 1845 (Squamata: Agamidae). Vertebrate Zoology, 62(2), 213-260. Bannikov, A. G., Darevsky, I. S., Ishchenko, V. G., Rustamov, A. K., & Shcherbak, N. N. (1977). The Field Guide of Amphibians and Reptiles of the Fauna of the USSR. Moscow, Prosveshchenie. (in Russian) Cott, H. (1950). Adaptive Coloration in Animals. Moscow, Foreign Literature Publishing House. (in Russian) Define the dominant colours of the image online (2017). Available at: https://www.imgonline.com.ua/get-dominant-colors.php. Forsyth, I. (2014). The practice and poetics of fieldwork: Hugh Cott and the study of camouflage. Journal of Historical Geography, 43, 128-137. Miura, K. (2016). Bioimage data analysis. Weinheim, Wiley-VCH Verlag GmbH & Co. KGaA. Morrison, R. L., Sherbrooke, W. C., & Frost-Mason, S. K. (1996). Temperature-sensitive, physiologically active iridophores in the lizard Urosaurus ornatus: an ultrastructural analysis of color change. Copeia, 1996(4), 804-812. Panov, E. N., & Zykova, L. Yu. (2016). Rock Agamas of Eurasia. Moscow, KMK Scientific Press. Papenfuss, T., Shafiei Bafti, S., Ananjeva, N., & Orlov, N. (2010). Paralaudakia erythrogaster. The IUCN Red List of Threatened Species 2010: e.T164645A5915348. http://dx.doi.org/10.2305/IUCN.UK.2010-4.RLTS.T164645A5915348.en. Downloaded on 07 February 2017. Saenko, S. V., Teyssier, J., van der Marel, D., &Milinkovitch, M. C. (2013). Precise colocalization of interacting structural and pigmentary elements generates extensive color pattern variation in Phelsuma lizards. BMC Biology, 11, 105. Saxena, R. K., Saxena, S. (2008). Comparative Anatomy of Vertebrates. Kent, Anshan Limited. Stuart-Fox, D., Moussalli, A. (2009). Camouflage, communication and thermoregulation: lessons from colour changing organisms. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 364(1516), 463-470. Taylor, J. D., & Hadley, M. E. (1970). Chromatophores and color change in the lizard, Anolis carolinensis. Zeitschrift Fur Zellforschung Und Mikroskopische Anatomie, 104(2), 282-294. Teyssier, J., Saenko, S. V., van der Marel, D., & Milinkovitch, M. C. (2015). Photonic crystals cause active colour change in chameleons. Nature Communications 6: 6368 doi: 10.1038/ncomms7368.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".