Read e-book online Anolis Lizards of the Caribbean: Ecology, Evolution, and PDF

By Jonathan Roughgarden

ISBN-10: 0195067312

ISBN-13: 9780195067316

ISBN-10: 1423764420

ISBN-13: 9781423764427

The Anolis lizards of the Caribbean are excellent for the learn of evolutionary ecology. delivering interesting insights into the greater than one hundred fifty species dispersed during the Caribbean islands, Jonathan Roughgarden information the diversities among species in a variety of behavioral and actual features, together with foraging behaviors, physique dimension, and habitat use, because of evolutionary divergences concurrent with the plate-tectonic origins of the area. This ebook should be of curiosity to scholars and researchers--ecology and theoretical, tropical, and inhabitants biology.

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Extra info for Anolis Lizards of the Caribbean: Ecology, Evolution, and Plate Tectonics (Oxford Series in Ecology and Evolution)

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But by the 60th episode it has learned the optimal cutoff distance to the resolution of this simulation. Notice the lizard seems to learn exactly where the cutoff is, because after the 60th episode it ignores prey even slightly beyond the optimal cutoff, and pursues prey even slightly within the optimal cutoff. Further runs with the program, not illustrated, show that the time required to learn where the optimum cutoff is depends on the distance of the first prey item caught. If this is far from the cutoff, more experience is needed to converge to the optimal decision.

8 mm. Bottom: A. 5 mm. 34 • The sentient forager Fig. 12 Distribution of perch heights on St. Eustatius during March, April, and May 1982 ("R" for rocks, "G" for ground). Top: A. 19 m. Bottom: A. 59 m. 12 Abundance of Anolis Lizards, St. Eustatius Procedure N/100 m2(SE) Dates Species Jan. 16-18 1983 A. schwartzi A. bimaculatus 3-day independ. 3-day independ. 6) June 23-24, 1983 A. schwartzi A. bimaculatus 2-day independ. 2-day independ. 6) Mar. 28-30, 1984 A. schwartzi A. bimaculatus 3-day independ.

Therefore, an anole's learning reflects only its own interaction with the environment, its own trials and errors. I emphasize, though, that an optimally foraging neural net has not yet been developed; instead, I am conjecturing that it can be. The significance of this metaphor is also twofold. (1) While the neurobiological basis of a complex behavior like foraging is unknown, and while neural nets are not intended as accurate mimics of neurons and synaptic connections, the training of a neural net still offers a relatively nuts-and-bolts physiological metaphor for how optimal foraging can develop.

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Anolis Lizards of the Caribbean: Ecology, Evolution, and Plate Tectonics (Oxford Series in Ecology and Evolution) by Jonathan Roughgarden


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