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Re: Speed Potential in Tyrannosaurs (long) [resent plain text]
[message got truncated before, I hear, so here's plain text version, which
hopefully will make it thru]:
Hi folks,
I'll provide a reply to GS Paul's comments here, but don't intend
to get drawn into another longwinded debate. As I've said before, the
details as usual will be worked out over the next few years/decades in
peer-reviewed journals. But it's always important to talk informally to
non-specialists and specialists alike about scientific debates. To me, the
paper is ancient history already, and I have long since moved on to other
projects, including more realistic 3D models of dinosaur locomotion, and
the usual experimental + modeling studies on living animals too. But I
understand if people want to have their say about this controversy, and I
welcome disagreement or agreement. [Sure, I like the latter more than the
former; I'm only human!]
First off, I appreciate Greg's point of view. Again, I welcome
debate as long as it is about the science itself and is presented in a
collegial fashion. No one in their right mind has fun when scientific
arguments turn nastily sarcastic or personal. I like Greg's hypothesis
that tyrannosaurs could run fast; it's provocative and creative, and has
some data consistent with it, and Greg has done a good job of marshaling
evidence and presenting logical arguments. As I've said often, I'll be
ready to admit I'm wrong if someone shows me data that prove me wrong. I
haven't seen it yet, though, not in Greg's post or any others since our
paper came out. Maybe Bakker's SVP talk will show some unambiguous
fast-running tracks, whose speeds can be bounded with a confidence interval
to lie at or above 11m/s for a large tyrannosaur. I won't be at SVP this
year as I am attending biomechanics/biology conferences for once this year,
but it sounds like a wild time there in OK.
OK, on to business. I still think the fast-running tyrannosaur
hypothesis is incorrect, and new independent studies I've done continue to
show support for what Mariano and I found in the Nature paper. I agree
with a lot more of Greg's comments in his post than he probably thinks, but
we do disagree on the fundamentals, it seems. The new paper, which should
be out sometime next year, is longer and explains things a lot more
clearly, with more data and taxa too. It should help people understand
what we did; most of the arguments I've seen against our paper stem from a
lack of understanding and/or an a priori dismissal of our methods. And
yes, my conclusions do not change significantly, but I also have some new
conclusions that are broader in scope.
Specific replies to Greg's post:
1. Small tyrannosaur: I think Greg is overemphasizing this "error." As we
noted in the paper, and have since substantiated with new approaches, the
rather high T value for the small tyrannosaur was for a crouched pose; T
dropped to 5% for a more straight-legged pose, and I am now sure it could
be even lower than that. The Coelophysis model could drop to less than 1%
via the same strategy, but we showed how Tyrannosaurus couldn't get nearly
that low. This, and the models of a human, chicken, and gator already
fulfilled (to our satisfaction, and the reviewers') Greg's demand for
"noncontroversial examples" and that "the method should have been adjusted
until reasonable results were obtained." I've done the ostrich model now
and, surprise, it's a runner! Glad I did it, though, now we have a 3D
ostrich model based on a real animal, and many more to come. Greg comments
that "the belief that increased leg flexion results in increased leg muscle
mass has yet to be demonstrated by measurements, especially of animals of
similar size and locomotary potential." I'm not sure what he means here;
surely if animals bend their legs their muscle mass does not increase,
violating the laws of energy/mass conservation. What happens when animals
bend their legs, as Andrew Biewener and others have shown, is that the
ratio of the GRF moment arm (R) to the muscle moment arm (r) increases,
decreasing effective mechanical advantage and increasing the effort
required from the muscles. This is extremely well substantiated in the
literature; I know of no contradictory evidence and the method is soundly
based on first-principles. Now, increased muscle effort (force) could
require more muscle mass if the muscles were exerting themselves maximally
before the limbs were bent, but increased muscle mass can only be attained
through exercise or evolution. Humans "Groucho running" with bent legs do
require ~50% more energy precisely because the ratio of R/r is higher; look
into it and see; it follows directly from the biomechanics. Thus it's not
"meaningless", even though it is not "optimal".
2. Energetic arguments: Our paper focused on the mechanics, not
energetics, of running tyrannosaurs, although as a side comment we did note
that a fast-walking tyrannosaur would have needed a surprisingly high % of
active muscle volume. Regardless, the paper stands or falls based on the
mechanical arguments: in order to run fast, an animal's muscles must be
able to exert enough force to prevent limb collapse, and that force is
dependent on muscle cross-sectional area, and hence mass. I don't think we
know enough to say that "If there is one thing we can be certain of, it is
that adult Tyrannosaurus moved with the same, low level of mass specific
power output observed in elephants." Read the energetics scaling
literature (which has a better size range for walking than for running,
unfortunately) and notice the strong secondary signal for many
animals. They don't all fall on the line. Therefore we should not expect
scaling "laws" to dictate exactly what the metabolic cost of locomotion was
in a particular animal, although with an energetics-based model Greg could
estimate it and do sensitivity analysis to see how sure he is.
3. Scaling: Size factors into the scaling equation for the muscle mass to
run fast, because if you collapse our equation 1, it reads simply as T ~
(L*R)/r. Therefore, T should scale as two linear dimensions divided by
third linear dimension, or hence T ~ mbody^0.33. In a tricky way, then, T
is not so much dependent on the exact body mass value that we input, but
rather on the linear dimensions of the animal. So size matters, but body
mass value does not matter in our equation, in answer to previous
queries. Again, this all follows from simple mechanics and validation from
decades of animal research. As we noted on our webpage
(http://tam.cornell.edu/students/garcia/.trex_www/naturepaper.html) (caught
it too late for fixing in the paper), the giant chicken scaling line was
indeed off base a bit, because two joint angles in the giant chicken were
accidentally put 5 degrees different from the small chicken (learned my
lesson about having too many Excel files at once!). The scaling is
relatively linear (not exactly, because of significant figure rounding)
when the correction we noted is made. We've checked through all of the
math in the paper now many times, and none of the corrections change our
main conclusions. The scaling of extensor muscle fiber lengths (L) is an
interesting question and we are looking at it; it's more complex than Greg
portrays it.
4. Absolute speeds vs. relative speeds: Our paper was mainly about
relative speeds (Froude number). While in some cases in mammals, maximum
absolute speed does not change much with body mass, maximum relative speed
clearly does decline. The interesting question to me is, when does max
relative speed decline so much that a certain gait or absolute speed
becomes unattainable due to biomechanical constraints? That's what our
paper touched on, and new papers will continue to investigate. Greg says
"Its up to those who think otherwise to produce data showing that relative
leg muscle mass increases in animals of similar top speed as size
increases. Good luck." When I hear statements like this, I can't help but
think that people are too lazy or dogmatic to collect their own data and
test their own assumptions and ideas. I think the burden is just as much
on Greg et al. as it is on me to dissect real animals and show how leg
muscle mass changes with speed/size. Looking at photos, running around the
living room, or watching Hatari or PBS isn't a rigorous way to collect data
or test hypotheses that involve the complex relationship between anatomy
and dynamics. I agree, though, that ceratomorphs would be a wonderful
group to look at in detail; it's been on my mind for years. Hopefully
someday. As a biologist, I've always tried to base my work on a foundation
of studies of living (or recently dead) animals; it's what most
paleontologists do the worst job of. Hence I've worked hands-on in
locomotor experiments with live birds, crocodiles, and elephants, and have
dissected more tetrapods than I can shake a drumstick at. We'll see what
can be done in the few decades that my career will span. [Correction to
Greg's post: for short distances, human sprinters can reach 12m/s top
speed, not 10, although the average speed over 100m is the very recent
world record by Tim Montgomery, 9.78 m/s.]
5. Anatomy: "Not much faster than elephants" is the key phrase here. The
question is, how important is anatomy, especially so-called "cursorial
adaptations"? Does the anatomy of a tyrannosaur demand that it must have
been able to run 10%, 50%, or 300% faster than an elephant of similar
size? I am totally unconvinced by the anatomical arguments that put
tyrannosaur speed at 11-20 m/s; they are based on a weak, correlation and
analogy-based reasoning that has many untested assumptions about the
relationship of anatomy and locomotor performance. The few biomechanical
studies I've seen that put tyrannosaurs/big theropods at those speeds have
worse flaws than our paper did; I've gone through the math and I understand
where they went wrong. Our model included all of the tyrannosaur anatomy
that was needed, and T.rex was still found wanting. Long legs, big
muscles, big cnemial crests, big pelvis, strings and sealing wax and other
fancy stuff... They did not change T enough to make tyrannosaurs into
speed demons. My feeling is that people who have mainly studied anatomy
have been seduced by tunnel vision into thinking that anatomy is a
failsafe, or at least a very reliable, indicator of locomotor
performance. Anatomy and performance are correlated, I am sure, but I see
weak links in many parts of the correlation when I look at what
quantitative effect the anatomy has. I think biomechanics is what is
needed to test anatomical specializations and see how important they really
are; the work has not been done to my satisfaction.
6. Wrapup: I hear criticism of computer models most frequently from people
that do not understand them, and second most frequently from people that do
not use them, or do not like quantification or math. Greg's post leads me
to suspect that he does not understand how our model works. I doubt that
he could accurately explain it, which makes me wonder how he can doubt its
results despite the seemingly contradictory evidence he cites. Before I
doubt a model, I go through it and see how it works out on paper (e.g.,
draw my Fig. 1 and make sure I can understand where the parameters fit in),
and which parameters/assumptions are most influential (e.g., sensitivity
analysis). I do not only use models; I use every line of evidence that I
can find, including anatomy. I do not want to avoid or exclude any
approach. But time is limited, and I take the approaches that I deem to be
most relevant and efficient. I agree that we badly need more data from
living animals, that's what my research program is all about. Computer
models in isolation are not that great. But computer models will always be
a useful supplement to any other line of evidence, particularly when it
comes to extinct animals, because they allow you to test hypotheses
indirectly without relying on time machines, analogy, or mere speculation
and anecdotes. You just need to be cautious when using them. The fact
that scientists have used the same methods we used in the Nature paper for
decades of studying living animals gives me strong confidence in the
applicability of these modeling methods to extinct animals, particularly
when carefully approached with sensitivity analysis. Failsafe? No
way! I'm not that deluded. I'm probably more anal-retentive about
scrutinizing my models these days than I should be. No line of evidence is
faultless, but modeling is not useless or untrustworthy either. Like any
line of evidence, it's the Way that the evidence is collected, used, and
evaluated that matters, and I'm glad that at least both Greg and I are
committed to using science as our Way.
Have at it, folks. :-)
John
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John R Hutchinson
NSF Postdoctoral Research Fellow
Biomechanical Engineering Division
Stanford University
Durand 209, BME
Stanford, CA 94305-4038
(650) 736-0804 lab
(415) 871-6437 cell
(650) 725-1587 fax
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