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- Good afternoon, everyone.

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You will recall last week when Dr. Zahawi

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made his presentation
from the Galapagos Islands

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that we had internet connectivity issues,

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and he has very graciously
found time in his busy schedule

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to record his research presentation

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again from the Galapagos.

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So Dr. Zahawi, welcome again,

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and we look forward to
hearing about your talk

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and work in Costa Rica
in your talk entitled,

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The role of restoration in
preserving plant diversity.

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- Thank you, Ryan,

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and thank you all for being here today,

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or listening to this recording.

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This talk is focused on a
long-term research project

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in Southern Costa Rica

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with a number of collaborators
who are listed here.

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My main collaborator, Karen Holl,

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and then a number of
other colleagues as well

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who've worked on and off with
this project over the years.

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So, restoration has really
hit the global scale.

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There are numerous initiatives

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that have sprung up over the last decade

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from all over the world.

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These are really impressive commitments,

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as you see here with some of
these examples on the slide.

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But what this generates are
really fundamental questions.

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One is, how do we restore
at these kinds of scales?

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Most research and restoration to date

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has been on small-scale projects

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on the order of a few hectares

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or maybe a few dozen hectares,

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now we're talking about tens

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and hundreds of thousands
of hectares and even more.

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So how do we move things up to that scale

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is a really critical question,

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and how do we make it feasible?

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So when you're doing
small-scale restoration,

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adding a few dollars here or there

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doesn't really matter that much,

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but if you're scaling things
up to millions of hectares,

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a few dollars multiplied out
becomes quite cost prohibitive.

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So in the gamut of restoration,

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we have natural regeneration

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at the lower end of the economic spectrum.

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It's much more cost
effective to allow a system

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basically to regenerate on
its own if it can do so.

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As in the example here
in Yucatan where you have

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quite a bit of recovery
seen in this photograph

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just a couple of years
after the plot was let go.

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But natural regeneration
doesn't always happen.

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And this is another
other example in Panama

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that's a 10-year-old pasture
that has been abandoned,

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but he wouldn't know it,

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because it looks much like it did

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probably when it was first let go.

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So figuring out how and when to intervene

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and the degree of intervention

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is really a key piece in this.

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Tree planting obviously is
one option for restoration,

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can facilitate the recovery process

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by eliminating aggressive pasture grasses

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which are generally intolerant to shade.

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It also improves the
microclimatic conditions

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by providing a little bit of shade,

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improving soil conditions
through litterfall,

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and also, of course,
attracting seed dispersers

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that bring in seeds from
other sources, presumably.

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The key crux to this is planting trees

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is much more costly than
just letting a system go.

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It also requires a
number of considerations.

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So you need to know, first,
when planting is needed,

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which I already mentioned
earlier, but also how to plant.

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So first we have to figure out

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if we really need to plant trees,

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then we need to know the process involved

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and also ensure that
there's funding in place

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for long-term maintenance and monitoring.

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So you can't just stick

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a 30-centimeter tall
seedling in the ground

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and call it a day.

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In the tropics it will
completely be swamped

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by grasses and other species

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and will be gone within six months.

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So you have to put in
place long-term funding

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to cover that initial phase of restoration

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until trees can stand for
themselves, fend for themselves.

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The end goal is also a
really important question.

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So in restoration, your end
goal might be carbon offsets.

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You might just be trying
to sequester carbon,

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in which case one set of target
species might be considered.

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Or it might be biodiversity

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and in which case you might
approach things differently

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or plant a different set of species.

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So understanding that from
the outset is very important.

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I work in Southern Costa Rica.

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This is a wet part of the country,

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about three and a half to four meters

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of rainfall per year.

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It's a mid elevation, 1200 meters,

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and I've been working
this part of Costa Rica

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for the better part of 20 years.

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This area, if you zoom into
this spot right up here

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and look at it over time,

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was a very forested part of the country

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in the mid 20th century,
but was quickly converted

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to an agricultural
system by the early 1980s

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with about 30% or so
forest cover remaining.

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This is not unlike many
other parts of the tropics.

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And if you zoom in further still
and look at this over time,

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what you're looking at
here in the dark green

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are old growth, remnant
forest that was never cleared,

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and in various different shades of orange,

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secondary forest that's coming back.

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So basically this plot here, this image,

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shows you or indicates that this system

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has the capacity to recover
naturally to some extent.

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And then the gray area is
all agricultural land today.

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Within this system, the
area outlined in black

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is the Las Cruces
Biological Station Reserve.

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This is where I worked

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for the better part of
10 years as director.

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While I was there we
established a permanent plot

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to study old growth forest over time.

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And this is what that plot looks like,

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it's 150 by 150 meters
where we surveyed and mapped

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all trees and lianas greater
than five centimeters DBH.

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This amounted to about 3,500 individuals

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representing 200 or so species.

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And we censused this
area three times thus far

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over the time span of about
a little over a decade.

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And the results are,

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there are many results to
this in several publications,

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but I'll focus on just one of
our early publications here

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to underscore an important message.

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So this is a rank-abundance curve,

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or dominance-diversity curve if you will,

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where species are ranked
from the most dominant

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to the least dominant on your X axis here.

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So number one is,
appropriately, your top species,

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and then all the way out here

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180 is your least dominant
or your rare species.

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And then you've got a
log scale on your Y axis,

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so basically the translation
is your top species here

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represents about 10% of all
individuals in this forest.

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What's really stunning here

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is to look at the other end of the scale

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and look at these dots over here.

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And these species, which
amount to over 50 species,

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are represented by one individual

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in two and a quarter hectares.

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Not only that, but
between these two surveys,

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there was a 50% turnover
rate in rare species.

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So a couple of those
dropped out, a few came in,

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and so really quite a dramatic shift,

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basically saying two things.

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You've got a lot of rare species in there,

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so you still have a lot of
that diversity in this system,

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and there's, looking at
this whole plot in general,

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there's still a lot of resilience

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or ability within the
system to bounce back,

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because we've got a lot of that
species pool still present.

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So, we need to focus on
facilitating recovery,

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but how do we go about doing that?

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What we've done in Southern Costa Rica

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is establish a long-term
restoration project

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called the Islas Project.

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This was established
around 2004 through 2006,

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where we had 13 one hectare sites.

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And at each of these three sites,

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we basically replicated three treatments,

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each 1/4 hectare in size.

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Here you're looking at
these three treatments,

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they're each 50 by 50 meters.

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Natural regeneration where
we didn't plant anything,

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a plantation style restoration effort

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where we planted the
entire area with trees,

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and then what we call an island system

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or an applied nucleation system

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where we planted trees in
patches of three different sizes.

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We also had adjacent reference
forest plots for comparison.

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So this is your forest that wasn't cleared

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or was selectively logged at some point,

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but is the representation of the habitat

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I talked about in the previous slide.

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Why patches?

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Well this is an image of a
tree patch that was planted,

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this is actually a different study,

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but it's a really nice photograph,

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showing this plot right
here in the center of trees,

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and this winds up being a foci
or a focus of regeneration,

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where recovery occurs.

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Planting in patches is, of course,

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much less labor and resource intensive,

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you're planting fewer trees,

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but it also copies the
natural regeneration process.

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So if you leave a pasture like this

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to recover of its own accord,

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what usually happens is

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something like this shrub will colonize

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and that will facilitate the
colonization of other species.

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And over time, you wind up getting

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this progression of trees
and species coming in

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and coalescing into a recovered habitat.

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So that patchy recovery

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is just how the natural
process takes place.

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And so we're trying to, in
effect, mimic that process

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but give it a little boost.

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And then the last point
is one of the questions

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or the topics that really
interests me in restoration,

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is our legacy effect.

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So what are we doing on the ground,

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and how does that impact

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the trajectory of species over time?

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In other words, if you're
planting four species of trees,

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which is what we did in our study,

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but if you're planting it
across thousands of hectares,

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that's likely gonna leave
a very strong footprint

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or thumbprint on the land for a long time,

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because those species are gonna regenerate

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and they're going to
basically maybe preclude

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or not facilitate the recovery
of other species coming in

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simply cause you've got a
uniform canopy (indistinct).

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So reducing that legacy effect

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is a really key issue in restoration.

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Looking at applied nucleation
in a little bit more detail.

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We have a number of questions

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that we're looking at in this project.

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Does applied nucleation
enhance recovery similarly

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as does plantation or passive restoration,

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which is the same as saying
natural regeneration?

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What's that ideal island
size for these plots?

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What about islands expanding,

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do they really expand or
do they just get stuck?

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And how does this recovery
shift over the long term?

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So restoration is not
an overnight process.

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Even in the tropics it takes time.

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And so we need to look at
this over longer time spans

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and look at these questions of legacy

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and how these systems change
after the first few years.

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We also looked at, or are
looking at, the landscape level.

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And here we're looking at

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whether recovery is more strongly affected

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by within-site restoration strategy,

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i.e. what we do on the ground.

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Do we plant a bunch of
trees, do we not plant,

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do we plant in patches

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versus what's the
surrounding landscape doing?

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If we have a lot of forest,

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as you see in this image right here,

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versus very little forest,

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does that have a strong
impact on recovery?

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There are many publications

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that have come from this project to date,

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over 50 thus far on a
whole range of topics.

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I'm obviously not going to
go through all of them today,

257
00:14:37,260 --> 00:14:39,150
but just to give you all a sense

258
00:14:39,150 --> 00:14:43,080
of the breadth of work and the importance

259
00:14:43,080 --> 00:14:45,050
of, I should say, collaboration,

260
00:14:45,050 --> 00:14:48,980
as many of these thematic areas

261
00:14:48,980 --> 00:14:51,233
were led by other scientists.

262
00:14:54,680 --> 00:14:57,400
In terms of site recovery,

263
00:14:57,400 --> 00:14:58,710
I wanted to give you a visual image.

264
00:14:58,710 --> 00:15:01,380
Over here is a person standing for scale.

265
00:15:01,380 --> 00:15:05,690
This is a plot at time zero
with the trees planted there.

266
00:15:05,690 --> 00:15:10,510
And then this is that same
plot eight years or so later,

267
00:15:10,510 --> 00:15:15,510
this wall of trees is
really your plantation.

268
00:15:16,080 --> 00:15:19,520
And then the foreground
here is your control

269
00:15:19,520 --> 00:15:20,910
or your natural regeneration.

270
00:15:20,910 --> 00:15:24,510
You can see that it's still
stifled with grass, right?

271
00:15:24,510 --> 00:15:28,270
So there's a big difference,
you know, from here to here,

272
00:15:28,270 --> 00:15:32,947
even though time zero was
exactly the same, right?

273
00:15:34,950 --> 00:15:36,870
Another site with natural regeneration,

274
00:15:36,870 --> 00:15:41,700
this one not so overrun by grasses.

275
00:15:41,700 --> 00:15:43,160
An artist rendition,

276
00:15:43,160 --> 00:15:46,750
you can see a typical
natural regeneration plot

277
00:15:46,750 --> 00:15:49,870
with some recruits of
trees, a few big ones,

278
00:15:49,870 --> 00:15:51,970
a lot of grass still in the understory,

279
00:15:51,970 --> 00:15:53,803
but it's coming back, right?

280
00:15:55,080 --> 00:15:57,420
Plantation, open understory,

281
00:15:57,420 --> 00:16:01,410
which is not what some people expect.

282
00:16:01,410 --> 00:16:03,670
This is what it looks like
in the artist's rendition.

283
00:16:03,670 --> 00:16:06,057
Again, you can see these
rows of trees here,

284
00:16:06,057 --> 00:16:08,730
but you do have recruits and other species

285
00:16:08,730 --> 00:16:10,883
that are outside of those rows as well.

286
00:16:11,810 --> 00:16:13,890
And then islands,

287
00:16:13,890 --> 00:16:16,460
a hybrid, obviously,
between the two systems.

288
00:16:16,460 --> 00:16:19,400
Some rows of trees, also
some natural recruits,

289
00:16:19,400 --> 00:16:21,000
a little bit of grass remaining,

290
00:16:22,033 --> 00:16:24,903
and some open understory as well.

291
00:16:27,650 --> 00:16:32,650
This is what a typical site
looked like a few years ago.

292
00:16:32,870 --> 00:16:36,150
This is drone imagery looking at

293
00:16:36,150 --> 00:16:38,410
basically a canopy height model here.

294
00:16:38,410 --> 00:16:41,370
Your dark green on the far
left there under the plantation

295
00:16:41,370 --> 00:16:46,370
is your higher canopy, taller
canopy, 20 meters or so.

296
00:16:47,910 --> 00:16:49,371
And then on the far right,

297
00:16:49,371 --> 00:16:51,347
you've got your applied nucleation,

298
00:16:51,347 --> 00:16:52,720
you've got your patches of trees

299
00:16:52,720 --> 00:16:55,820
that are really kind of coalesced
on the two sides, right?

300
00:16:55,820 --> 00:16:58,640
And then you've got an
open area in between here

301
00:16:58,640 --> 00:17:03,640
of area that hasn't been colonized as yet.

302
00:17:03,800 --> 00:17:07,350
But there is growth, and
merging of these two islands.

303
00:17:07,350 --> 00:17:12,330
And then natural regeneration,
several patches of trees,

304
00:17:12,330 --> 00:17:17,330
but again, a lot of open areas
with fairly low elevation.

305
00:17:19,300 --> 00:17:23,000
Canopy cover highlighted in blue here

306
00:17:23,000 --> 00:17:26,460
comparing applied nucleation
to plantation as a mean,

307
00:17:26,460 --> 00:17:27,963
and you can see, you know,

308
00:17:29,501 --> 00:17:33,610
it does lag a little bit
behind the plantation,

309
00:17:33,610 --> 00:17:35,447
but it's not that far behind.

310
00:17:36,650 --> 00:17:39,880
And bit shorter in stature overall,

311
00:17:39,880 --> 00:17:41,960
because you've got these open spaces

312
00:17:41,960 --> 00:17:44,230
that you're also sensing in there.

313
00:17:44,230 --> 00:17:47,390
But certainly what you can see from here

314
00:17:47,390 --> 00:17:49,130
is that they do expand and grow,

315
00:17:49,130 --> 00:17:51,783
because the original area planted was 18%.

316
00:17:57,920 --> 00:18:00,800
Let's dig a little bit
deeper into the data here.

317
00:18:00,800 --> 00:18:03,613
So look at that question
of early indicators.

318
00:18:04,720 --> 00:18:07,123
In other words, do we
plant or do we not plant?

319
00:18:07,970 --> 00:18:11,810
On your left-hand side here is a graph

320
00:18:11,810 --> 00:18:14,580
showing above-ground biomass accumulation.

321
00:18:14,580 --> 00:18:15,870
And the three different treatments,

322
00:18:15,870 --> 00:18:18,270
they'll be arranged in this
way in all of my slides,

323
00:18:18,270 --> 00:18:19,710
so your natural regeneration,

324
00:18:19,710 --> 00:18:22,000
your island, and your plantation

325
00:18:22,000 --> 00:18:24,493
split into two categories here.

326
00:18:27,091 --> 00:18:29,360
Your natural regeneration,
natural recruitment,

327
00:18:29,360 --> 00:18:31,500
so this is species that are coming in

328
00:18:31,500 --> 00:18:35,970
and germinating and
establishing naturally in black,

329
00:18:35,970 --> 00:18:39,330
and then your clear bars
are your planted trees.

330
00:18:39,330 --> 00:18:44,330
And so, not surprisingly,
plantation wins at seven years

331
00:18:44,980 --> 00:18:47,840
in terms of above-ground biomass,

332
00:18:47,840 --> 00:18:49,330
islands are intermediate,

333
00:18:49,330 --> 00:18:51,880
and control or natural generation

334
00:18:51,880 --> 00:18:53,230
is a little further behind.

335
00:18:55,440 --> 00:18:59,840
What is perhaps more surprising, however,

336
00:18:59,840 --> 00:19:01,300
are these error bars.

337
00:19:01,300 --> 00:19:05,250
So these big error bars basically indicate

338
00:19:05,250 --> 00:19:07,093
that there's a huge disparity,

339
00:19:08,440 --> 00:19:10,540
not only across the treatments,

340
00:19:10,540 --> 00:19:12,180
but also within the treatment.

341
00:19:12,180 --> 00:19:14,920
So in other words, when you
go from one site to the next,

342
00:19:14,920 --> 00:19:17,720
the plantation in some
cases has done really well

343
00:19:17,720 --> 00:19:19,680
and in other cases not so well.

344
00:19:19,680 --> 00:19:22,420
And what that means, here are the numbers,

345
00:19:22,420 --> 00:19:24,770
it's an order of magnitude difference

346
00:19:26,630 --> 00:19:29,710
in terms of accumulation.

347
00:19:29,710 --> 00:19:32,370
What that means is that some sites

348
00:19:32,370 --> 00:19:36,830
really facilitate recovery,

349
00:19:36,830 --> 00:19:39,680
the species grow very quickly and so on,

350
00:19:39,680 --> 00:19:42,150
and other sites not so much.

351
00:19:42,150 --> 00:19:43,610
We took this information

352
00:19:43,610 --> 00:19:47,010
and plotted it out on this figure here.

353
00:19:47,010 --> 00:19:49,890
And if you're looking
at this on your X axis,

354
00:19:49,890 --> 00:19:54,780
you've got height of your
seedlings in year two

355
00:19:56,160 --> 00:20:00,403
and above-ground biomass in year eight.

356
00:20:02,360 --> 00:20:07,360
And if you plot this on
this graph like this,

357
00:20:07,760 --> 00:20:09,840
what you get is seedlings

358
00:20:09,840 --> 00:20:12,150
that grew very little in
the first couple of years,

359
00:20:12,150 --> 00:20:15,930
wound up contributing very
little to above-ground biomass.

360
00:20:15,930 --> 00:20:19,290
Whereas seedling that
were rocking, essentially,

361
00:20:19,290 --> 00:20:20,580
in the first couple of years

362
00:20:20,580 --> 00:20:24,630
and had a height of two and a
half meters after two years,

363
00:20:24,630 --> 00:20:27,570
with a few exceptions, really generated

364
00:20:27,570 --> 00:20:30,390
a lot of above-ground
biomass by year eight.

365
00:20:30,390 --> 00:20:35,390
So what that means is you can
test sites for productivity

366
00:20:37,560 --> 00:20:40,550
or their ability to grow early on.

367
00:20:40,550 --> 00:20:43,270
Whatever is going on in
those first few years

368
00:20:43,270 --> 00:20:45,500
is gonna be replicated 10 years later.

369
00:20:45,500 --> 00:20:50,500
So you could do little test
plantings in broad landscapes

370
00:20:50,680 --> 00:20:54,350
to evaluate what your potential
return is going to be,

371
00:20:54,350 --> 00:20:58,060
and then before you do a large investment

372
00:20:58,060 --> 00:21:01,300
of aggressive intervention only to find

373
00:21:01,300 --> 00:21:03,000
that it's not gonna be successful.

374
00:21:05,216 --> 00:21:07,000
Another way of looking at this

375
00:21:07,000 --> 00:21:09,810
is to look at the natural
regeneration plots

376
00:21:09,810 --> 00:21:11,510
across that same time span.

377
00:21:11,510 --> 00:21:14,120
So here we're looking
at one and a half years

378
00:21:14,120 --> 00:21:16,980
after sites were let go.

379
00:21:16,980 --> 00:21:21,980
And we had some sites with
still very high grass cover

380
00:21:22,090 --> 00:21:23,710
and very few seedlings

381
00:21:23,710 --> 00:21:26,160
versus other natural regeneration plots

382
00:21:26,160 --> 00:21:31,040
with lesser amounts of grass
cover and many more seedlings.

383
00:21:31,040 --> 00:21:34,900
And as you would predict having
seen the previous figure,

384
00:21:34,900 --> 00:21:37,760
what happens here is a similar condition.

385
00:21:37,760 --> 00:21:40,560
The ones with few seedlings
wind up with few trees,

386
00:21:40,560 --> 00:21:42,857
the ones with a lot of
seedlings have a lot of trees

387
00:21:42,857 --> 00:21:45,450
and a lot more rapid recovery.

388
00:21:45,450 --> 00:21:48,080
So even without planting in the ground,

389
00:21:48,080 --> 00:21:49,470
you can look at a site and say,

390
00:21:49,470 --> 00:21:52,090
okay, I'm just gonna let
this go for a couple of years

391
00:21:52,090 --> 00:21:53,150
and see what happens.

392
00:21:53,150 --> 00:21:55,860
And if it starts bouncing back quickly,

393
00:21:55,860 --> 00:21:57,410
you probably don't need to do anything,

394
00:21:57,410 --> 00:22:00,150
or maybe you need to just
do some targeted planting.

395
00:22:00,150 --> 00:22:01,430
But if you don't have movement,

396
00:22:01,430 --> 00:22:02,880
as in that image I showed you

397
00:22:02,880 --> 00:22:05,080
earlier on in the talk in Panama,

398
00:22:05,080 --> 00:22:09,173
then probably some more active
intervention is necessary.

399
00:22:13,080 --> 00:22:14,380
What do we stick in the ground

400
00:22:14,380 --> 00:22:17,180
is another really key question.

401
00:22:17,180 --> 00:22:20,090
And to address that, at least partially,

402
00:22:20,090 --> 00:22:22,710
I'm gonna look at this figure here.

403
00:22:22,710 --> 00:22:24,270
This is your litterfall,

404
00:22:24,270 --> 00:22:26,793
so this is your productivity of your,

405
00:22:27,950 --> 00:22:29,060
it's an indirect measure

406
00:22:29,060 --> 00:22:32,830
of productivity of
growth in these systems.

407
00:22:32,830 --> 00:22:36,080
And you can see here that
at five years in the survey,

408
00:22:36,080 --> 00:22:40,620
you've got plantation way
ahead, islands intermediate,

409
00:22:40,620 --> 00:22:42,800
natural regeneration far behind.

410
00:22:42,800 --> 00:22:44,630
The color code here, again,

411
00:22:44,630 --> 00:22:46,290
similar to that previous figure

412
00:22:46,290 --> 00:22:48,240
but with a little bit more detail.

413
00:22:48,240 --> 00:22:49,810
Yellow are other dicots,

414
00:22:49,810 --> 00:22:52,450
so this is all naturally
recruiting species,

415
00:22:52,450 --> 00:22:55,080
and then these other colors

416
00:22:55,080 --> 00:22:57,240
represent the four planted species,

417
00:22:57,240 --> 00:22:58,490
the blues and the greens.

418
00:22:59,440 --> 00:23:00,740
And what you see here

419
00:23:00,740 --> 00:23:04,780
is your plantation in those early years

420
00:23:04,780 --> 00:23:09,780
is completely dominated by
the planted species we have.

421
00:23:11,506 --> 00:23:13,410
Jump forward another five or six years

422
00:23:13,410 --> 00:23:14,570
and look what happens.

423
00:23:14,570 --> 00:23:18,420
Your second survey, your
islands have caught up

424
00:23:18,420 --> 00:23:22,070
in terms of productivity
as to the plantation,

425
00:23:22,070 --> 00:23:23,793
no significant difference, right?

426
00:23:24,700 --> 00:23:28,750
But the makeup of that
productivity is very different.

427
00:23:28,750 --> 00:23:32,760
So half of the litterfall here
is made up of other dicots.

428
00:23:32,760 --> 00:23:35,730
In other words, a lot
more diversity of species

429
00:23:35,730 --> 00:23:38,910
contributing to the
productivity in that system

430
00:23:38,910 --> 00:23:42,590
compared to the plantation.

431
00:23:42,590 --> 00:23:44,840
So think back to that
legacy question again

432
00:23:45,750 --> 00:23:47,700
that I mentioned at the very beginning.

433
00:23:48,820 --> 00:23:51,500
And then natural regeneration far behind,

434
00:23:51,500 --> 00:23:54,513
although it's steadily progressing, right?

435
00:23:55,940 --> 00:23:56,780
So what does that mean?

436
00:23:56,780 --> 00:23:59,640
Well, one way of looking at this is,

437
00:23:59,640 --> 00:24:01,520
do we want to sequester carbon?

438
00:24:01,520 --> 00:24:02,640
If that's the case,

439
00:24:02,640 --> 00:24:05,873
probably going to plantations
makes the most sense.

440
00:24:07,080 --> 00:24:10,090
but if you're looking at
composition or biodiversity,

441
00:24:10,090 --> 00:24:13,070
maybe islands or even, if
you have even more time,

442
00:24:13,070 --> 00:24:15,280
natural regeneration
makes more sense, right?

443
00:24:15,280 --> 00:24:17,200
So these are some of the ways

444
00:24:17,200 --> 00:24:19,100
you try and address these questions,

445
00:24:19,100 --> 00:24:21,250
hopefully at a smaller scale

446
00:24:21,250 --> 00:24:24,853
before doing things in huge areas.

447
00:24:26,380 --> 00:24:28,630
Let's look at the critters,

448
00:24:28,630 --> 00:24:31,963
and specifically focus on
birds here for a little bit.

449
00:24:32,920 --> 00:24:35,560
Not surprisingly, birds
like infrastructure,

450
00:24:35,560 --> 00:24:37,300
and here you're looking at

451
00:24:37,300 --> 00:24:40,460
frugivorous bird abundance on your Y axis,

452
00:24:40,460 --> 00:24:42,870
and they like the planted treatments more

453
00:24:42,870 --> 00:24:44,430
than they do control.

454
00:24:47,719 --> 00:24:51,040
They also had a very, whoops,

455
00:24:51,040 --> 00:24:55,910
they had a very unexpected
landscape effect.

456
00:24:55,910 --> 00:24:59,420
So here on your X axis for, again,

457
00:24:59,420 --> 00:25:04,340
frugivore detections or
nectarivores on the C panel.

458
00:25:04,340 --> 00:25:08,343
You've got tree cover on your
X axis here from zero to 100,

459
00:25:09,260 --> 00:25:11,227
surrounding tree cover that is,

460
00:25:11,227 --> 00:25:13,900
and number of individuals.

461
00:25:13,900 --> 00:25:16,980
And what you see here is the
more forest cover you have

462
00:25:16,980 --> 00:25:18,210
in the surrounding landscape,

463
00:25:18,210 --> 00:25:19,860
the fewer birds you find.

464
00:25:19,860 --> 00:25:21,560
Which is not what you would expect,

465
00:25:21,560 --> 00:25:24,630
you'd think intuitively
that the more forest,

466
00:25:24,630 --> 00:25:25,833
the happier the birds,

467
00:25:27,000 --> 00:25:30,500
and this required a bit of
head scratching for a while

468
00:25:30,500 --> 00:25:35,080
until I came up with
this fantastic hypothesis

469
00:25:35,080 --> 00:25:37,810
of the only bar in town hypothesis.

470
00:25:37,810 --> 00:25:40,330
So basically if the only place

471
00:25:40,330 --> 00:25:43,580
to hang out in town is this bar here

472
00:25:43,580 --> 00:25:45,420
and you really need to have a beer,

473
00:25:45,420 --> 00:25:47,300
this is where you're gonna go.

474
00:25:47,300 --> 00:25:50,500
If there are a lot of other
places with some better habitat,

475
00:25:50,500 --> 00:25:52,820
then you probably will go there

476
00:25:52,820 --> 00:25:57,540
over an early young restoration treatment.

477
00:25:57,540 --> 00:26:00,100
That's not to say the pattern
won't change with time,

478
00:26:00,100 --> 00:26:03,540
but certainly at this point in the study,

479
00:26:03,540 --> 00:26:07,177
this was the pattern that (indistinct).

480
00:26:08,410 --> 00:26:11,770
So, let's see what these birds are doing.

481
00:26:11,770 --> 00:26:15,000
Similar to the pattern I
showed you in those graphs,

482
00:26:15,000 --> 00:26:17,350
when you're looking at
animal-dispersed tree seeds,

483
00:26:17,350 --> 00:26:21,370
which make up the vast majority
of trees in the system,

484
00:26:21,370 --> 00:26:22,740
this is the pattern you get.

485
00:26:22,740 --> 00:26:27,100
Plantation has the highest
signal, islands are intermediate,

486
00:26:27,100 --> 00:26:29,910
not statistically
significant from plantation,

487
00:26:29,910 --> 00:26:32,570
and then the controls
or natural regeneration

488
00:26:32,570 --> 00:26:35,110
lags pretty far behind here.

489
00:26:35,110 --> 00:26:38,330
We have no effective
surrounding forest cover

490
00:26:38,330 --> 00:26:39,990
on incoming seeds.

491
00:26:39,990 --> 00:26:42,480
So basically whether
you have a lot of forest

492
00:26:42,480 --> 00:26:44,160
or a little forest made no difference

493
00:26:44,160 --> 00:26:47,213
in the number of seeds
per meter squared for you.

494
00:26:50,210 --> 00:26:53,250
Jump forward a bit more,
now we're in 2012, 2013,

495
00:26:53,250 --> 00:26:55,300
looking at seed rain again,

496
00:26:55,300 --> 00:26:57,750
here split into smaller-seeded species

497
00:26:57,750 --> 00:26:59,323
and larger-seeded species.

498
00:27:00,200 --> 00:27:02,700
Smaller-seeded species are
early successional species.

499
00:27:02,700 --> 00:27:06,170
These are species that
are much more common

500
00:27:06,170 --> 00:27:08,240
in the landscape typically speaking

501
00:27:08,240 --> 00:27:12,940
and are, as you can see from this figure,

502
00:27:12,940 --> 00:27:16,910
not different across, in
this case, four treatments.

503
00:27:16,910 --> 00:27:20,620
So natural regen, island, plantations,

504
00:27:20,620 --> 00:27:22,780
and R is for reference forest.

505
00:27:22,780 --> 00:27:24,160
Large-seeded species,

506
00:27:24,160 --> 00:27:26,280
which are your late successional species,

507
00:27:26,280 --> 00:27:29,730
which are your hardwoods,
slower-growing species,

508
00:27:29,730 --> 00:27:32,310
there is a really distinct pattern here

509
00:27:32,310 --> 00:27:35,260
where you see the reference forest

510
00:27:35,260 --> 00:27:38,270
statistically higher number of seeds

511
00:27:38,270 --> 00:27:40,160
per meter square per year,

512
00:27:40,160 --> 00:27:42,190
then come your two planted treatments,

513
00:27:42,190 --> 00:27:45,820
and then lagging far behind
is your natural regeneration.

514
00:27:45,820 --> 00:27:47,360
Again, this is a log scale,

515
00:27:47,360 --> 00:27:51,050
so these are big differences

516
00:27:51,050 --> 00:27:53,050
in terms of the number of seeds,

517
00:27:53,050 --> 00:27:55,223
basically an order of
magnitude difference.

518
00:27:58,300 --> 00:28:00,750
We also looked at seedling recruits.

519
00:28:00,750 --> 00:28:03,020
So that's what we see in
these two panels down here,

520
00:28:03,020 --> 00:28:06,270
and we have exactly the same pattern

521
00:28:06,270 --> 00:28:08,730
if you split your recruits

522
00:28:08,730 --> 00:28:12,330
between small-seeded recruits
and large-seeded recruits.

523
00:28:12,330 --> 00:28:13,163
So in other words,

524
00:28:13,163 --> 00:28:16,320
what's going on in terms of
germination and establishment,

525
00:28:16,320 --> 00:28:17,780
we still have the same pattern

526
00:28:17,780 --> 00:28:19,990
for your early-successional species,

527
00:28:19,990 --> 00:28:21,160
but a very different pattern

528
00:28:21,160 --> 00:28:23,805
for these later-successional species.

529
00:28:23,805 --> 00:28:26,300
So that's interesting because

530
00:28:26,300 --> 00:28:28,680
there isn't another filter overall

531
00:28:28,680 --> 00:28:31,800
in terms of what's coming in in seedlings.

532
00:28:31,800 --> 00:28:35,360
Once again, no effective
surrounding forest cover found.

533
00:28:35,360 --> 00:28:38,650
And this pattern repeated itself

534
00:28:38,650 --> 00:28:41,560
in many, many different analyses we did.

535
00:28:41,560 --> 00:28:44,930
And this generated a bit of noise,

536
00:28:44,930 --> 00:28:48,040
because obviously a lot of studies show

537
00:28:48,040 --> 00:28:51,220
that surrounding forest
cover is an important metric

538
00:28:51,220 --> 00:28:53,210
to consider in restoration.

539
00:28:53,210 --> 00:28:55,933
So I'll get back to that in just a second.

540
00:28:57,150 --> 00:29:02,150
Last slide here relating to
seedlings and recruitment

541
00:29:02,280 --> 00:29:04,380
is what are the species looking like?

542
00:29:04,380 --> 00:29:06,350
What's in your composition?

543
00:29:06,350 --> 00:29:09,720
And what you're looking at
here on this left figure,

544
00:29:09,720 --> 00:29:12,727
orange is your control or
your natural regeneration

545
00:29:12,727 --> 00:29:14,170
and your number of samples,

546
00:29:14,170 --> 00:29:18,120
and it basically reaches
an asymptote here.

547
00:29:18,120 --> 00:29:20,870
Your two planted
treatments are very similar

548
00:29:20,870 --> 00:29:22,550
in the number of species,

549
00:29:22,550 --> 00:29:24,370
start to level off, but not quite.

550
00:29:24,370 --> 00:29:27,740
And then your reference
forest is obviously flying out

551
00:29:27,740 --> 00:29:31,263
and would be way up here,
presumably, in this projection.

552
00:29:32,660 --> 00:29:35,270
We sampled fewer sites
in the reference forest.

553
00:29:35,270 --> 00:29:36,893
Likewise, that rank-abundance curve

554
00:29:36,893 --> 00:29:38,972
that you're looking at here.

555
00:29:38,972 --> 00:29:42,680
Your natural regeneration's
a much steeper curve

556
00:29:42,680 --> 00:29:45,620
and peters out at around 40 species.

557
00:29:45,620 --> 00:29:48,930
Your two planted treatments
have a much longer curve

558
00:29:48,930 --> 00:29:50,600
with a lot of rare species there,

559
00:29:50,600 --> 00:29:53,130
which is really important to capture.

560
00:29:53,130 --> 00:29:54,820
And then of course your reference forest

561
00:29:54,820 --> 00:29:58,570
with only, whatever it is,
half the number of samples,

562
00:29:58,570 --> 00:30:02,073
still outcompeting in terms
of overall number of species.

563
00:30:09,080 --> 00:30:11,550
So, what about that forest cover?

564
00:30:11,550 --> 00:30:15,490
Well, could it be that local
factors are more important,

565
00:30:15,490 --> 00:30:18,400
so what we do on the ground
overrides everything else,

566
00:30:18,400 --> 00:30:23,010
even if we have forest cover
surrounding these plots or not?

567
00:30:23,010 --> 00:30:26,680
Or could it be an alternate hypothesis

568
00:30:26,680 --> 00:30:29,690
whereby the categorization of forest cover

569
00:30:29,690 --> 00:30:31,500
into basically just a presence

570
00:30:31,500 --> 00:30:35,233
or absence format is problematic?

571
00:30:36,170 --> 00:30:38,050
And that is, the way we did this is

572
00:30:38,050 --> 00:30:40,500
we just kind of band around
these plots where we said,

573
00:30:40,500 --> 00:30:44,644
okay, you've got 30%
forest cover, 60%, 80%,

574
00:30:44,644 --> 00:30:48,720
and we ran that as a
covariant with our models

575
00:30:48,720 --> 00:30:52,733
and determined whether forest
cover was an important factor.

576
00:30:54,240 --> 00:30:58,630
I felt that that was
probably too simplistic.

577
00:30:58,630 --> 00:31:00,010
And so instead of that,

578
00:31:00,010 --> 00:31:03,860
what we really needed to do
is go out into this forest

579
00:31:03,860 --> 00:31:07,120
and figure out are these trees,

580
00:31:07,120 --> 00:31:08,790
identify them to species level

581
00:31:08,790 --> 00:31:11,800
and then see what's in here in the plot.

582
00:31:11,800 --> 00:31:15,020
And so look at spacial
distribution, look at abundance,

583
00:31:15,020 --> 00:31:18,740
and also look at life history
traits of these mother trees

584
00:31:18,740 --> 00:31:21,093
on recruitment in our restoration forest.

585
00:31:22,370 --> 00:31:24,623
To do that we picked eight sites,

586
00:31:26,150 --> 00:31:28,510
shown here, of our 13.

587
00:31:28,510 --> 00:31:30,840
At each one, we just
focused on the plantation

588
00:31:30,840 --> 00:31:33,700
shown here in red in this grid.

589
00:31:33,700 --> 00:31:37,320
And we mapped out all the trees
in the surrounding landscape

590
00:31:38,470 --> 00:31:40,920
and identified them to species level.

591
00:31:40,920 --> 00:31:43,620
This wound up being about 77 tree species

592
00:31:43,620 --> 00:31:45,143
that we included in the study.

593
00:31:46,170 --> 00:31:51,170
And we then did a comprehensive survey

594
00:31:51,410 --> 00:31:55,480
of all recruits in these plots
here in each plantation plot

595
00:31:56,770 --> 00:32:00,070
and came up with about 1500 mother trees,

596
00:32:00,070 --> 00:32:04,600
9,000 recruits overall in this step.

597
00:32:04,600 --> 00:32:05,530
And what did we find?

598
00:32:05,530 --> 00:32:09,720
Well, the first stop is
just the simple presence

599
00:32:09,720 --> 00:32:11,683
of a mother tree, right here,

600
00:32:12,750 --> 00:32:16,600
within 100 meters of a
plot, a plantation plot,

601
00:32:16,600 --> 00:32:19,210
increased tenfold the probability

602
00:32:19,210 --> 00:32:23,310
or the abundance on average
of recruits upon specifics.

603
00:32:23,310 --> 00:32:24,323
So in other words,

604
00:32:25,460 --> 00:32:28,180
having a mother tree within your system

605
00:32:28,180 --> 00:32:30,040
is a really important factor.

606
00:32:30,040 --> 00:32:32,100
That's not that surprising,

607
00:32:32,100 --> 00:32:37,100
but it's nice to see that result

608
00:32:37,170 --> 00:32:38,730
when you're incorporating

609
00:32:38,730 --> 00:32:40,673
more than 70 species into your model.

610
00:32:41,910 --> 00:32:45,530
What we also found is that
abundance of those mother trees

611
00:32:45,530 --> 00:32:46,500
was also important.

612
00:32:46,500 --> 00:32:48,450
So here on your X axis

613
00:32:48,450 --> 00:32:50,710
you've got increasing
number of mother trees

614
00:32:50,710 --> 00:32:55,710
and on your Y axis, number
of hypothetical recruits.

615
00:32:55,720 --> 00:32:58,890
And we've broken this
out into three bands,

616
00:32:58,890 --> 00:33:01,170
so a 25-meter band,

617
00:33:01,170 --> 00:33:06,170
so your band closest to
your plot, your target plot,

618
00:33:06,880 --> 00:33:09,680
and then a 50-meter band
and a 75-meter band.

619
00:33:09,680 --> 00:33:12,450
And what you can see
is if the mother trees

620
00:33:12,450 --> 00:33:17,450
have a lot of individuals within 25 meters

621
00:33:18,510 --> 00:33:21,820
and those numbers start going
up, this takes off, right?

622
00:33:21,820 --> 00:33:25,897
So if we were to have 75
mother trees within our plots,

623
00:33:27,950 --> 00:33:29,420
which is highly unlikely,

624
00:33:29,420 --> 00:33:32,350
but then you'd wind up with 1000 recruits

625
00:33:32,350 --> 00:33:35,640
in your system, right?

626
00:33:35,640 --> 00:33:38,978
So that's how this model is,

627
00:33:38,978 --> 00:33:40,303
what it's projecting.

628
00:33:42,180 --> 00:33:44,410
The third piece of this study

629
00:33:44,410 --> 00:33:47,300
is that proximity of mother
trees to the plot is important.

630
00:33:47,300 --> 00:33:49,550
So that 25-meter band is important,

631
00:33:49,550 --> 00:33:53,090
but so is being really,
really close to the plot.

632
00:33:53,090 --> 00:33:55,740
So here we're looking at
your closest distance,

633
00:33:55,740 --> 00:33:58,730
so here's mean distance of
a mother tree to a plot.

634
00:33:58,730 --> 00:34:00,450
If it's super duper close

635
00:34:01,370 --> 00:34:03,040
you have have that many more seedlings

636
00:34:03,040 --> 00:34:04,940
than when it's 100 meters away.

637
00:34:04,940 --> 00:34:09,110
And this signal was much stronger
for larger-seeded species,

638
00:34:09,110 --> 00:34:10,860
shown here with a solid bar,

639
00:34:10,860 --> 00:34:12,543
than for smaller-seeded species.

640
00:34:14,968 --> 00:34:17,320
And this is one example
where the mother tree

641
00:34:17,320 --> 00:34:19,370
was maybe five meters away from this plot,

642
00:34:19,370 --> 00:34:22,050
it was the only mother
tree of the species,

643
00:34:22,050 --> 00:34:24,970
and you can see the
overwhelming signal it has

644
00:34:24,970 --> 00:34:27,233
in terms of recruits in that system.

645
00:34:29,110 --> 00:34:33,110
So, contrary to many of
our previous studies,

646
00:34:33,110 --> 00:34:36,950
if you look at this appropriately
at the right resolution,

647
00:34:36,950 --> 00:34:40,823
forest cover and its proximity
to plots is really important,

648
00:34:42,400 --> 00:34:47,270
but you have to look at it
at the appropriate level.

649
00:34:47,270 --> 00:34:49,530
And then what's also really important

650
00:34:49,530 --> 00:34:52,190
is the composition of
that forest around there.

651
00:34:52,190 --> 00:34:54,840
So if you have good diversity

652
00:34:54,840 --> 00:34:56,880
and so on surrounding your plots,

653
00:34:56,880 --> 00:34:58,600
then you're in pretty good shape,

654
00:34:58,600 --> 00:34:59,433
'cause a lot of that

655
00:34:59,433 --> 00:35:02,423
is probably gonna come into
your restoration sites.

656
00:35:03,800 --> 00:35:05,280
And that could be something you assess

657
00:35:05,280 --> 00:35:07,810
prior to doing large-scale restoration,

658
00:35:07,810 --> 00:35:10,403
just to know what's what's out there.

659
00:35:11,420 --> 00:35:15,902
So I'm gonna close with three
take-home messages here.

660
00:35:15,902 --> 00:35:17,493
One is this question of how to.

661
00:35:18,550 --> 00:35:22,092
And I've talked a lot about that

662
00:35:22,092 --> 00:35:26,320
in this presentation already,

663
00:35:26,320 --> 00:35:28,720
but one key question that
hasn't been addressed

664
00:35:28,720 --> 00:35:30,310
is this one right here.

665
00:35:30,310 --> 00:35:35,310
Do we plant these, whatever
this is, nine plots, like this,

666
00:35:35,370 --> 00:35:37,730
or do we plant it like this?

667
00:35:37,730 --> 00:35:40,090
And obviously that has major implications

668
00:35:40,090 --> 00:35:43,938
for the area that you
can cover in restoration

669
00:35:43,938 --> 00:35:47,040
if you get the same result doing this

670
00:35:47,040 --> 00:35:51,530
versus just having everybody
clustered together,

671
00:35:51,530 --> 00:35:53,540
but that needs to be properly assessed

672
00:35:53,540 --> 00:35:55,003
to make that determination.

673
00:35:56,550 --> 00:35:58,730
The second point is what do we plant?

674
00:35:58,730 --> 00:36:00,950
And again, I alluded to this a little bit,

675
00:36:00,950 --> 00:36:03,080
but I didn't go into it in much detail.

676
00:36:03,080 --> 00:36:06,800
But a very clear example
in this same study

677
00:36:06,800 --> 00:36:10,520
is that of the four species
we planted in this study,

678
00:36:10,520 --> 00:36:12,760
two were wind dispersed, shown here.

679
00:36:12,760 --> 00:36:17,760
One had explosive dispersal
and the fourth has a red seed,

680
00:36:18,770 --> 00:36:21,680
but it's not really consumed by birds

681
00:36:21,680 --> 00:36:25,733
because it's poisonous to some
and it doesn't have a reward.

682
00:36:26,750 --> 00:36:28,680
So essentially none of our trees

683
00:36:28,680 --> 00:36:31,600
were really animal dispersed per se,

684
00:36:31,600 --> 00:36:36,600
and so you're losing that
potential connection to network.

685
00:36:39,574 --> 00:36:42,970
Your plant-animal
interactions are reduced to,

686
00:36:42,970 --> 00:36:45,450
well, this is a scaffolding, basically,

687
00:36:45,450 --> 00:36:47,237
in the landscape, right?

688
00:36:48,130 --> 00:36:50,220
So it might be much more important

689
00:36:50,220 --> 00:36:51,780
to plant something like this this,

690
00:36:51,780 --> 00:36:55,100
Ficus or figs are really important

691
00:36:55,100 --> 00:36:57,910
keystone species in tropical systems,

692
00:36:57,910 --> 00:37:02,170
consumed by dozens of
different species of birds,

693
00:37:02,170 --> 00:37:07,170
by bats, by mammals, all kinds of species.

694
00:37:08,090 --> 00:37:09,870
And so planting them and having them

695
00:37:09,870 --> 00:37:13,070
fruit at some point in this process

696
00:37:13,070 --> 00:37:16,480
would really bring in
a lot of other species

697
00:37:16,480 --> 00:37:18,620
and attract your dispersers even more.

698
00:37:19,740 --> 00:37:24,140
And then the third point is
this question of persistence.

699
00:37:24,140 --> 00:37:26,400
And I'll go back to those pledges

700
00:37:26,400 --> 00:37:28,450
that I talked about at the very beginning,

701
00:37:28,450 --> 00:37:31,370
where you have all these
massive global efforts

702
00:37:31,370 --> 00:37:34,880
to bring millions and millions
of hectares of degraded land

703
00:37:34,880 --> 00:37:39,353
into restoration with these
fantastic targets in place.

704
00:37:44,320 --> 00:37:48,650
But what we've discovered is a
rather unsettling issue here,

705
00:37:48,650 --> 00:37:53,140
and we go back to the same
plot that I showed you earlier.

706
00:37:53,140 --> 00:37:56,810
This study that I'm gonna talk about now

707
00:37:56,810 --> 00:37:59,007
basically looked at this area here

708
00:37:59,007 --> 00:38:01,810
and all these tiny
little patches of forest

709
00:38:01,810 --> 00:38:03,080
all throughout this landscape,

710
00:38:03,080 --> 00:38:06,573
1700 secondary forest patches in all,

711
00:38:07,720 --> 00:38:10,260
and looked at their longevity

712
00:38:10,260 --> 00:38:12,610
or their persistence over time.

713
00:38:12,610 --> 00:38:15,270
And what we found was rather unsettling.

714
00:38:15,270 --> 00:38:17,390
And that is that you started out

715
00:38:17,390 --> 00:38:20,030
with these 1700 patches or so,

716
00:38:20,030 --> 00:38:23,860
within 20 years, half of those
patches have been recleared.

717
00:38:23,860 --> 00:38:27,170
Within 35 years, 3/4 were gone.

718
00:38:27,170 --> 00:38:28,560
And by the time you go out

719
00:38:28,560 --> 00:38:31,223
to the length of the
study that we looked at

720
00:38:31,223 --> 00:38:33,823
and the time-lapse that
we have in imagery,

721
00:38:35,020 --> 00:38:39,453
almost 90% of these
secondary forests have gone.

722
00:38:40,540 --> 00:38:44,530
So the biggest take-home
I can give from this talk

723
00:38:44,530 --> 00:38:49,530
is to reevaluate these major
commitments as nation states,

724
00:38:50,500 --> 00:38:54,420
as government and entities

725
00:38:54,420 --> 00:38:58,410
and non-government organizations
working in this regard.

726
00:38:58,410 --> 00:39:00,130
And I'll pick on Costa Rica

727
00:39:00,130 --> 00:39:03,160
just because this whole
talk was about Costa Rica,

728
00:39:03,160 --> 00:39:05,210
but Costa Rica pledged a million hectares

729
00:39:06,440 --> 00:39:09,373
of restored forest by 2020.

730
00:39:10,970 --> 00:39:13,360
In effect, that's a million hectares

731
00:39:13,360 --> 00:39:15,810
of zero-year-old forest, right?

732
00:39:15,810 --> 00:39:18,810
But the real pledge should
be something like this,

733
00:39:18,810 --> 00:39:23,280
one million hectares of 100
year old forest by 2120,

734
00:39:23,280 --> 00:39:25,900
because that implies all the funding,

735
00:39:25,900 --> 00:39:30,900
all the monitoring, safeguarding
of these restored areas

736
00:39:32,470 --> 00:39:34,800
for a long time span,

737
00:39:34,800 --> 00:39:38,420
where you can a pure carbon
sequestration, biodiversity,

738
00:39:38,420 --> 00:39:40,140
and all these other ecosystem functions

739
00:39:40,140 --> 00:39:41,950
that we're trying to restore

740
00:39:41,950 --> 00:39:45,210
and be able to really say
we actually restored forest

741
00:39:45,210 --> 00:39:47,410
as opposed to we actually just planted

742
00:39:47,410 --> 00:39:48,810
a million hectares of trees.

743
00:39:51,252 --> 00:39:52,100
And with that,

744
00:39:52,100 --> 00:39:57,100
I will thank many
funders and collaborators

745
00:39:57,210 --> 00:39:59,250
who weren't on the first slide.

746
00:39:59,250 --> 00:40:01,940
And I guess I won't be
taking any questions

747
00:40:01,940 --> 00:40:03,140
because there's no (indistinct),

748
00:40:03,140 --> 00:40:05,820
but thank you very much.

749
00:40:05,820 --> 00:40:07,210
- Thanks very much, Dr. Zahawi.

750
00:40:07,210 --> 00:40:09,030
Actually, I have two quick questions

751
00:40:09,030 --> 00:40:12,876
before I stop the recording.
- Please do.

752
00:40:12,876 --> 00:40:14,910
- One's at a sort of global scale.

753
00:40:14,910 --> 00:40:17,380
Are you optimistic
about the bond challenge

754
00:40:17,380 --> 00:40:21,780
and whether we are making solid progress

755
00:40:21,780 --> 00:40:26,283
in restoring ecosystems like you describe?

756
00:40:28,730 --> 00:40:30,310
- I think that's an excellent question.

757
00:40:30,310 --> 00:40:35,040
And I've been in the field
now for 25, 30 odd years,

758
00:40:38,960 --> 00:40:41,870
depending on where you start the count

759
00:40:41,870 --> 00:40:46,470
in terms of my efforts
and work in this field,

760
00:40:46,470 --> 00:40:50,880
both as a non-professional
and then as a professional,

761
00:40:50,880 --> 00:40:54,440
and what I see is a sea change

762
00:40:54,440 --> 00:40:59,440
in how government organizations

763
00:40:59,750 --> 00:41:04,750
and how the world is focused
on conservation efforts

764
00:41:07,600 --> 00:41:10,610
and in this case restoration

765
00:41:10,610 --> 00:41:14,060
and in doing so at these enormous scales.

766
00:41:14,060 --> 00:41:16,050
And there's a lot of interest in it

767
00:41:16,050 --> 00:41:21,050
and a lot of funding and
many different initiatives,

768
00:41:21,210 --> 00:41:24,590
not just in land restoration,
even marine efforts.

769
00:41:24,590 --> 00:41:28,360
I mean, you know, I'm talking
to you here from Ecuador,

770
00:41:28,360 --> 00:41:29,200
from the Galapagos,

771
00:41:29,200 --> 00:41:32,460
where there was recent declaration
of a new marine reserve

772
00:41:32,460 --> 00:41:35,160
that's 60,000 square kilometers

773
00:41:35,160 --> 00:41:39,260
with significant infrastructure
being put in place

774
00:41:39,260 --> 00:41:43,660
to be able to monitor and manage
that system going forward.

775
00:41:43,660 --> 00:41:48,660
So I see a lot of promise in
the conversations we're having

776
00:41:50,800 --> 00:41:53,050
and that there's suddenly

777
00:41:53,050 --> 00:41:56,580
almost a glut of funding, if you will.

778
00:41:56,580 --> 00:41:59,840
What's missing is the ability,

779
00:41:59,840 --> 00:42:02,340
you know, and what I talked
about here in my presentation,

780
00:42:02,340 --> 00:42:06,503
of really being able to
answer that call properly.

781
00:42:07,480 --> 00:42:09,590
And then this last slide
that I talked about,

782
00:42:09,590 --> 00:42:12,320
I think one of the biggest weaknesses

783
00:42:12,320 --> 00:42:17,220
is this inability to really underscore

784
00:42:17,220 --> 00:42:21,320
the importance of restoration
as a long-term process.

785
00:42:21,320 --> 00:42:25,920
And it doesn't just involve two years

786
00:42:25,920 --> 00:42:28,653
of planting a zillion trees in the ground.

787
00:42:29,900 --> 00:42:32,503
I mean, I've been on funding,

788
00:42:33,770 --> 00:42:35,850
not boards, but recommendations,

789
00:42:35,850 --> 00:42:38,520
where basically there's
one year of funding

790
00:42:38,520 --> 00:42:39,850
and all they were interested in

791
00:42:39,850 --> 00:42:41,890
was how many trees do you buy?

792
00:42:41,890 --> 00:42:44,570
And I said, you might as
well not even give the funds

793
00:42:44,570 --> 00:42:49,570
because it's just you're
gonna lose 98% of your seeds.

794
00:42:49,993 --> 00:42:52,443
- Yeah, it's a whole change
in mindset, isn't it?

795
00:42:53,480 --> 00:42:54,610
- Total change in your mindset.

796
00:42:54,610 --> 00:42:55,683
And the problem is,

797
00:42:57,310 --> 00:42:59,380
the most attractive thing is to say,

798
00:42:59,380 --> 00:43:01,660
well, we planted 10,000 trees.

799
00:43:01,660 --> 00:43:03,630
It's not very exciting to say,

800
00:43:03,630 --> 00:43:08,450
well, we've gone out and
monitored them for 25 years

801
00:43:08,450 --> 00:43:09,760
and they're growing, you know?

802
00:43:09,760 --> 00:43:12,370
I mean, but you could
make that more exciting,

803
00:43:12,370 --> 00:43:13,340
we have to work at that.

804
00:43:13,340 --> 00:43:14,720
You have to talk about,

805
00:43:14,720 --> 00:43:17,210
well, we've sequestered so tons of carbon

806
00:43:17,210 --> 00:43:21,030
as a result of this effort
that was started 25 years ago,

807
00:43:21,030 --> 00:43:24,390
or we suddenly have 350
species in this system

808
00:43:24,390 --> 00:43:27,782
where there was once 10 species of grass,

809
00:43:27,782 --> 00:43:30,420
and, you know, that kind of approach.

810
00:43:31,450 --> 00:43:34,300
- My second question is,
clearly the Galapagos

811
00:43:34,300 --> 00:43:35,670
where you're currently stationed

812
00:43:35,670 --> 00:43:39,010
is quite a different ecosystem.

813
00:43:39,010 --> 00:43:42,870
Are you able to use any of the knowledge

814
00:43:42,870 --> 00:43:47,380
that you gained in your
studies in Costa Rica

815
00:43:47,380 --> 00:43:49,890
for your work at the
Charles Darwin Foundation

816
00:43:49,890 --> 00:43:51,853
and on the Galapagos?

817
00:43:54,818 --> 00:43:57,563
- As with everything,
the answer is yes and no.

818
00:44:01,550 --> 00:44:03,930
Certainly I have a lot of experience,

819
00:44:03,930 --> 00:44:07,350
field experience and understanding,

820
00:44:07,350 --> 00:44:10,770
and some of that can be applied here.

821
00:44:10,770 --> 00:44:13,940
The trick with Galapagos
is it's an island system,

822
00:44:13,940 --> 00:44:18,940
so you have to put on your lens of Hawaii

823
00:44:20,220 --> 00:44:22,290
when you're working here.

824
00:44:22,290 --> 00:44:24,504
And in other words,

825
00:44:24,504 --> 00:44:29,030
for those who don't know a
lot about island systems,

826
00:44:29,030 --> 00:44:30,800
they're much more fragile.

827
00:44:30,800 --> 00:44:32,660
You've got a lot of endemic species,

828
00:44:32,660 --> 00:44:36,510
they've been isolated
from mainland systems

829
00:44:36,510 --> 00:44:41,060
for evolutionary time,

830
00:44:41,060 --> 00:44:46,060
and in many cases, they are
unable to compete for resources

831
00:44:48,050 --> 00:44:53,050
the same way forest systems
can in Costa Rica or wherever.

832
00:44:57,730 --> 00:44:59,550
And so what I talked about

833
00:44:59,550 --> 00:45:01,750
where you have a degree of resilience

834
00:45:01,750 --> 00:45:04,150
in these systems in Costa Rica,

835
00:45:04,150 --> 00:45:07,100
you do not have that in the Galapagos.

836
00:45:07,100 --> 00:45:09,110
So you can't just say,

837
00:45:09,110 --> 00:45:12,530
okay, we're going to clear the system

838
00:45:12,530 --> 00:45:14,920
and all these native
species are gonna come back.

839
00:45:14,920 --> 00:45:15,753
They're not.

840
00:45:15,753 --> 00:45:16,710
The problem with the Galapagos

841
00:45:16,710 --> 00:45:19,500
is you've got very
aggressive invasive species

842
00:45:19,500 --> 00:45:20,887
and you have to actually manage that.

843
00:45:20,887 --> 00:45:24,630
And so it's a different set of criteria

844
00:45:24,630 --> 00:45:26,820
that need to be implemented here.

845
00:45:26,820 --> 00:45:31,000
The good thing is with
this large-scale funding

846
00:45:31,000 --> 00:45:32,320
and long-term funding

847
00:45:32,320 --> 00:45:37,250
you can actually join a lot
of these efforts together.

848
00:45:37,250 --> 00:45:40,390
So you can bring in
funds that's long-term,

849
00:45:40,390 --> 00:45:43,090
such as carbon offset
funding, for example,

850
00:45:43,090 --> 00:45:48,090
and do intervention in the
Galapagos over the long term,

851
00:45:48,800 --> 00:45:51,040
much like you would do
intervention in Costa Rica

852
00:45:51,040 --> 00:45:55,730
for 10 or 15 years until the
system is getting into effect,

853
00:45:55,730 --> 00:45:57,520
but it would be a lot more maintenance

854
00:45:57,520 --> 00:45:59,370
and it would be a lot more expensive.

855
00:46:00,520 --> 00:46:02,730
- Well thanks very much
for your time, Dr. Zahawi,

856
00:46:02,730 --> 00:46:05,470
and your kindness and generosity

857
00:46:05,470 --> 00:46:08,083
in allowing us to sort of rerecord this.

