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Ch. 25 - Phylogenies and the History of Life

Chapter 24, Problem 13

The vast majority of animals that ever existed are now extinct, but Tereza Jezkova and John Wiens wondered which variables were most important in driving the diversification of species that exist today. Why are there so many species in some phyla, such as Cnidaria (see photo), but so few in others, such as Ctenophora? Jezkova and Wiens used a type of graph called a linear regression to find correlations between variables such as the proportion of species per phylum with legs (on the y-axis) and the diversification rate per phylum (on the x-axis). Sketch a graph to show what a strong positive correlation between these two variables would look like and what the absence of a correlation would look like.

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Welcome back. Let's look at our next problem, assuming that we graph the proportion of species that have skeletons on the Y axis and the diversification rate per phylum X axis which of the following graph shows a negative correlation. Well let's recall more content videos and negative correlation means that when one variable increases the other decreases. So we see the two variables tending in opposite directions as opposed to size or um direction. So let's look at our four graphs that were provided and evaluate which one shows a negative correlation. Um We'll have to scroll downward a little bit to see them all but we'll start over here with choice A. And we see in this case as the diversification rate per phylum goes upward becomes greater. We also see an increase in the proportion of species that have skeletons. So both values increase at the same time. That's a positive correlation, not a negative correlation. So choice A. Is not correct. Choice B. When we look at the trend of these dots of this data, we see that as we go along the X axis, as the diversification rate for phylum increases, we see that the proportion of species that are skeletons is decreasing. So these two variables are going in opposite directions. One is increasing while the other is decreasing. So this is a negative correlation and therefore we'd expect choice B. Two B are correct answer but just to be thorough we're going to scroll downwards And look at our last two answer choices. Choice C. Here. So as we go along we can see that it's a less steep line, but we can see general trend in these these data points here that as the diversification rate per phylum go increases, the proportion of species that have skeletons is also slightly increasing. So there again we have another positive correlation. And finally in Choice D. It's difficult to tell. Our data points are kind of widely scattered, but you might be able to draw a trend line here in a general upward direction, but that would also show as the diversification rate goes up, the proportion of species with skeletons is also increasing. So another positive correlation here. So Choice B is our graph that shows the two variables going in opposite directions and therefore shows a negative correlation. See you in the next video.
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Coral reefs are biodiverse ecosystems that provide food, income, coastal protection, and many other services to millions of people. Yet coral reefs are under threat from human impacts such as climate change—many corals cannot tolerate the warming ocean water and have suffered massive 'bleaching' events, which can be fatal. Researchers have discovered that some corals have the capacity to acclimatize to warmer water, while other corals do not. The researchers fear that because corals are long-lived colonial animals and thus evolve slowly, they may not be able to adapt to global warming fast enough to avoid extinction. Explain how the difference between acclimatize and adapt is important to the fate of corals.

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Textbook Question

The vast majority of animals that ever existed are now extinct, but Tereza Jezkova and John Wiens wondered which variables were most important in driving the diversification of species that exist today. Why are there so many species in some phyla, such as Cnidaria (see photo), but so few in others, such as Ctenophora? Draw a horizontal axis to represent the number of species within phyla using a logarithmic scale (1, 10, 100, 1000 species, etc.). Then use Table 30.1 to map seven representative phyla from small to large at intervals of about an order of magnitude on this scale.

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Textbook Question

The vast majority of animals that ever existed are now extinct, but Tereza Jezkova and John Wiens wondered which variables were most important in driving the diversification of species that exist today. Why are there so many species in some phyla, such as Cnidaria (see photo), but so few in others, such as Ctenophora? Based on your reading of this chapter, propose at least five traits that you think might have been most important in triggering diversification within phyla (examples: origin of hearing, origin of internal fertilization).

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Textbook Question

The vast majority of animals that ever existed are now extinct, but Tereza Jezkova and John Wiens wondered which variables were most important in driving the diversification of species that exist today. Why are there so many species in some phyla, such as Cnidaria (see photo), but so few in others, such as Ctenophora? A sample of Jekova and Wiens' results is shown here. The R2 value represents the strength of the correlation (where 0.00 is lowest and 1.00 is highest). The P value represents the statistical significance. Which five traits look most important?

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Textbook Question

Which traits do not correlate strongly with diversification rate within phyla, but are likely to have been important in the original diversification of animal phyla during the Cambrian? Select True or False for each trait. T/F presence of a head T/F mobile lifestyle T/F terrestrial lifestyle T/F bilateral symmetry

235
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Textbook Question

The vast majority of animals that ever existed are now extinct, but Tereza Jezkova and John Wiens wondered which variables were most important in driving the diversification of species that exist today. Why are there so many species in some phyla, such as Cnidaria (see photo), but so few in others, such as Ctenophora? The researchers know that correlation does not equal causation. However, can the absence of a correlation enable you to reject a hypothesis of causation? How would the R2 values be different in a scenario where a single trait was important to diversification in many phyla versus a scenario where different traits were important to diversification in different phyla?

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