PhD Tree
After the tree post last week, Brian Witte was kind enough to send me a fascinating e-mail, and I'm using it here. What follows is all Brian.
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I saw your post on making
computer models of trees and I wanted to share a story or two. Brace yourself.
My friend
did a PhD in Forestry in the late 90's at University of Washington. The initial observation used to form
hypotheses for the dissertation was this image:
The image you're looking at
is farmland in eastern Washington State, near the Columbia River. The circles are center-pivot irrigation used
to grow vegetables. The square blocks,
however, are a tree plantation. The
trees are hybrids of different species of cottonwood, and they're being grown
as a source of fiber for a paper mill.
Cottonwoods are notable both for their fast growth and the ease of
cloning them. Any twig can be dipped in
rooting hormone, half-buried in the ground, and it will sprout into a new
tree. Using that approach, a single big
tree can be chopped up and used to plant several contiguous acres of
genetically identical trees. Each of
those rectangular blocks in slightly different shades of green are,
genetically, one single tree that was chosen for its rapid growth and high
quality fiber. Here's a photo of a
cottonwood plantation, with trees grown like corn:
Grown on this spacing, with
plentiful drip irrigation, and cloudless summer weather of eastern Washington,
the trees take only 7 years to reach 100' tall, with a trunk diameter of 2
feet.
Cool story, right? So where does modeling come in? You'll notice that among those blocks of
trees, some appear to be different shades of green. When you broaden the range from visible light
to full-spectrum imaging (the AVIRIS technology mentioned in the caption), the
difference is even more pronounced.
Remember that each block is comprised of genetically identical trees.
Looking at ONE tree is hard. Looking at
a giant block of trees allows you to eliminate individual variation over a
tree's surface and measure averages.
Each block represents the average interaction of several thousand
trees. The blocks of trees were all
planted at the same time, they all get the same water and fertilizer, and they
all are rooted in the same soil. So what
accounts for the different appearance?
My friend, Kim Brown (now Dr.
Brown), went out to those blocks of trees and measured every conceivable variable:
chlorophyll content, leaf size, leaf shape, tree height, rate of
photosynthesis, rate of respiration. She
even took the data she collected on the trees to France where she collaborated
with a computer modeler to figure out what happened to incident rays of
sunlight as they impacted the trees. How
much light was absorbed, how much reflected and at what angle, how much
re-radiated in a different wavelength...even what happened to a ray of light as
it entered a leaf and bounced around inside.
Here's an image from a related paper by the modeler :
It turns out that the
different appearance of the blocks of trees came down to the angle at which the
leaves hang, relative to the trunk. Some
cottonwood species have leaves with short, stout petioles (the little stem that
connects a leaf to a branch), while others have long, limber petioles.
So yes, modeling trees is
hard. I still haven't seen a tree
reproduced in a game that I would call convincing (plants have their own
uncanny valley when a botanist like me is watching. And don't get me started on the ents in Lord
of the Rings with their totally unrealistic leaf physics).
As for the impact of long
vs short petioles? That would be for
another time.
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