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[Kyle] Hey, I'm Kyle.

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I work with Schoodic Institute

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as an ecologist and data analyst.

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And so today I just wanted to kind of talk

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about a project that we recently completed

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with the Acadia National
Park in particular,

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along, myself with my colleagues,

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Nicholas Fisichelli
and Abe Miller-Rushing.

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And so, yes, it's gonna
be sort of an overview

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of the project and what we
kind of did and why we did it.

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And to start, I guess
we'll just introduce,

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if you're not familiar
with Schoodic Institute,

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it's a 501c3 nonprofit organization

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that's based within Acadia National Park.

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You can see this.

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The typical area of Acadia
is on the island here,

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next to Bar Harbor, right?

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But it also owns property here

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on this other peninsula to the east,

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and that's where our campus
is located, right at the tip.

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And so what we do is basically

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we're Acadia National
Park's primary partner

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in science and education,
and together we manage

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the largest of 18 natural
National Park Service

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Research Learning Centers in the US,

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and our main work is
supporting and conducting

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scientific research that's
of importance to parks

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and other organizations in the area,

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providing professional
development for teachers,

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training new generations of stewards

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who will help conserve our future,

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natural and cultural heritage.

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And so this project's really
based around forest monitoring

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and sort of early detection

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of different stressors for forests.

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Acadia is very primarily forested, right?

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And the same sort of
stressors that are facing

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a lot of the FEMC region

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is also starting to affect
Acadia National Park.

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So things like climate change,
human modified land use,

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invasive plants, forest pests,

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all these things that we heard
about this morning as well,

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it's all sort of causing
rapidly changing forests

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and contributing to different
causes of forest loss.

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In Acadia, forests are
threatened by the recent arrival

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of hemlock woolly adelgid this past winter

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and impending arrival
of emerald ash borer.

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There's also a near complete
loss of red pine from the park

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due to red pine scale,

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and glossy buckthorn's becoming

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a really widespread invasive

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that's causing issues in the park.

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So, detecting these changes

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is really becoming critical, right?

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And the sooner we can do that,

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the more likely we can implement

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a cost effective management action

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and limit these sort of
disturbances from happening.

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So, on top of that, right,
monitoring that we do currently

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in a lot of situations,

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there's a lot of different
challenges that come with these.

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Obviously it's critical to
what we're trying to do.

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It's really an essential piece

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of finding what stressors
are impacting forests

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and determining what locations
and actions need to be taken,

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focused on, in order to hopefully limit

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the impact of these disturbances.

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But unfortunately, it seems like a lot

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of these forest disturbances go undetected

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until it's kind of becoming more

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established, right?

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And it's because we're
kind of doing these,

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you know, monitoring
focused on small plots

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that are kind of distributed

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throughout different protected areas.

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It requires a lot of labor and time,

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and it sometimes requires
specialized skill

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depending on what we're monitoring for.

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So, what we kind of are
proposing is this action

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of including citizen
science in monitoring.

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So developing, what
we've done is developed

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a detection and early
monitoring sort of program

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that really incorporates
this citizen science,

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especially eBird and iNaturalist here.

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So, when you look at
these sort of programs,

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you really notice that
there's a ton of volunteers

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just contributing without
any sort of engagement

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from the park necessarily.

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So, for example, Acadia has over

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538,000 observations of organisms

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from over 4,700 iNaturalist users

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and 6,600 eBird users, so
that's a large number of people.

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And so we really saw these
opportunities that the platforms

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are possibly presenting, and
we wanted to try to find ways

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to sort of augment the ongoing monitoring

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that exists currently in the park.

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And so we brought this idea

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to the Acadia National Park Managers.

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Sort of pretty quickly we
kind of had their support

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in this sort of project
because they obviously felt

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that the more eyes out looking

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for things of importance,
the better off, right,

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the more likely we are
to detect these species.

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And so kind of the initial
part of the process

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was figuring out what species
are we actually interested in.

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Obviously the park has
tons of different species

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that they're focused on,

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but we wanted to really try
to do a comprehensive list.

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And it's still kind of in the works,

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but right now we have 171 species

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that includes like invasive species

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like glossy buckthorn I just talked about,

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forest pests like hemlock woolly adelgid,

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and including a bunch of rare species

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that are native to the park

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and maybe populations are
declining, such as red pine.

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We also included all of the species

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that would be found in and
around Acadia National Park

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that are threatened and endangered,

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so on the federal or state lists.

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And so a brief overview of
what we did is work in R.

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It's what we primarily work in
at Schoodic Institute, sorry,

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and it was just an easy choice for us

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to stay within this sort of language,

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and there's a lot of tools and functions

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easily accessed through that program.

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And so what we did was
first build functions

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that allow us to access
eBird and iNaturalist data

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through what they call APIs.

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It's basically just a way

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to access it quickly through script.

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And then we designed an interface

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to help display these results

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in a simple and easy way for park managers

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to quickly understand and take note of.

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And there's a program called R Markdown

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that allows us to write HTML,

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write R code that produces an HTML script,

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so a typical webpage.

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We can style it however we want

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with typical CSS styling and
produce these sort of nice,

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easily accessible pages for managers.

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We use GitHub as our project
repository and version control.

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So we have all our code and
other important files on that.

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And using GitHub allows us
to access certain tools,

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like GitHub Actions and GitHub Pages.

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And so Pages allows us to
host that webpage for free,

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as well as Actions allowing us to automate

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the running of these functions

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and the updating of these pages

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without any sort of input
from me or anybody else.

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It just does it automatically.

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And this is sort of the final product

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that we have at the moment.

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So this is just an example
from a few weeks ago.

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And this is just, you know, title page,

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and it quickly goes down
into a map of observations.

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So park managers can go through this page,

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explore the different locations

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and see what species we're
seeing where pretty specifically

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depending upon the error that's associated

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with like iNaturalist
observations sometimes.

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But really specific points in general.

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And then we broke it down
into sort of four categories.

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So our first is like the forest
pests and invasive species.

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So, and this week there was only

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a colt's foot that was seen,

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but what we're finding is each week,

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there's upwards of 10
different observations

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of some sort of invasive or pest species,

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and what it has done so far

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is really direct future
observation efforts.

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And this past summer we
started integrating that.

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We've had Earthwatch groups
going out to certain areas

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and we're targeted efforts looking at

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or looking for invasive species,

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and I think that's gonna
become more and more common.

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The park's really interested in this,

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and it'll help inform the
park's invasive teams well

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on specific locations of species.

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Threatened and endangered species.

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Right now there's no, on this example,

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there's no federal species,

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but three different observations
of state threatened species

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as well as Acadia's home
to a pretty good population

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of state-endangered peregrine falcon.

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Rare native species, there
weren't a ton this past week,

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or in this specific example,

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but to date, over 67% of the
species known to be in the park

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have been documented by citizen scientists

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on eBird and iNaturalist only.

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And we also did sort of a pilot program

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kind of determining if species
had been recorded in the park

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and seeing if any new
observations are appearing.

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So this one, we used a
bunch of different sources.

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Of course, all the
iNaturalist and eBird records

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through all time, as well as iDigBio

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and scanned digitization records,

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and then working with the park managers

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for different datasets,

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like bumblebee bioblitzes
that they've done in the past.

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And so since this program
went live roughly in April

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of this past year of 2023 this year,

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we haven't seen any new species

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that haven't been incorporated
on this list that we created.

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And the other aspect of
this is that park managers

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really wanted a way to be consistent

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and clear with the communication

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of this program and then these products,

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so we were able to work with
that GitHub Actions again

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to, and this other package
in R called Blastula,

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which allows us to automate
email alerts basically.

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And so we kind of agreed on a timeline.

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In this case they wanted it once a week

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so every Monday when they come
in it's right in their inbox.

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They can click on this.
This is what they see.

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They can click on the the
button to go to the report,

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and then they'll be able to
explore what we just saw.

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And what we did was
really develop this all

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with adaptability in mind.

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It's really, kind of
working with these programs

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the way we did with GitHub and R,

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it allows us to make
changes really easily.

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So since it's all in
script form and it's there,

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it's easy to just change
a little something

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and then rerun it.

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So, you know, it's easy to
make new data visualizations,

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add new species to the list,

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modify the geographic range
that we're looking at,

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or change the schedule of
the email alerts, right?

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And it was also built with transferability

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in terms of the geographic location.

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So it's not necessarily specific to parks.

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It's really easy to move it
to any sort of protected area

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as long as there's a shapefile.

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That's all it really requires.

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So yeah, basically working
with citizen scientists

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in this capacity, we feel that we can,

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it's a potential to
augment current monitoring

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while keeping costs low,

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engage the community in this
sort of critical science,

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and detect species at a scaling rate

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that's maybe not feasible with
just our current monitoring.

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There's a lot of different
benefits that I feel

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to incorporating citizen
science like these projects,

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and one of my favorites
is sort of the engagement

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of people in meaningful science

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and connection with nature, right?

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And we heard about this
in the talks earlier.

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So the one thing that, though,

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is that we require active communication

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that's kind of between
whoever's running these projects

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and the people that are
volunteering for them, right?

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If we can successfully communicate

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how important the people's time is

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and showing them that we're using products

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that they're contributing to

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00:11:23,790 --> 00:11:26,280
for actual science and management,

259
00:11:26,280 --> 00:11:28,630
then it sort of creates
this positive feedback.

260
00:11:29,940 --> 00:11:32,430
Every aspect of this project
as well is easily modified

261
00:11:32,430 --> 00:11:35,340
to suit the needs of park
managers or any manager

262
00:11:35,340 --> 00:11:36,693
of any protected area,

263
00:11:39,270 --> 00:11:44,100
and it's really easy to use
this sort of program anywhere

264
00:11:44,100 --> 00:11:45,990
that there's any sort
of citizen science data.

265
00:11:45,990 --> 00:11:46,980
So we can expand it.

266
00:11:46,980 --> 00:11:49,233
to other sort of citizen
science databases,

267
00:11:50,190 --> 00:11:52,770
and as long as there's people there,

268
00:11:52,770 --> 00:11:55,200
that's something that
we can definitely add.

269
00:11:55,200 --> 00:11:56,820
And with that, I'd just
like to say thank you

270
00:11:56,820 --> 00:11:59,220
to the many people who assisted
us throughout this project,

271
00:11:59,220 --> 00:12:01,260
and to the National Park Foundation

272
00:12:01,260 --> 00:12:02,550
for making this project possible

273
00:12:02,550 --> 00:12:05,043
in part through their
Capacity Building Grant.

274
00:12:06,333 --> 00:12:09,333
(audience applauds)

275
00:12:11,640 --> 00:12:12,690
[Host] We have time for questions.

276
00:12:12,690 --> 00:12:13,980
I just wanna say that anybody online

277
00:12:13,980 --> 00:12:15,570
can put their question in the chat,

278
00:12:15,570 --> 00:12:18,660
and Duncan will read it
off when we have a break,

279
00:12:18,660 --> 00:12:21,693
and the person, the people
in the room questions.

280
00:12:24,570 --> 00:12:25,710
[Kyle] Yes, in the orange.

281
00:12:25,710 --> 00:12:28,770
[Participant] That was
slick, so thank you.

282
00:12:28,770 --> 00:12:30,600
And I'm curious about that feedback part.

283
00:12:30,600 --> 00:12:32,970
It's cool that the managers
are getting a report,

284
00:12:32,970 --> 00:12:34,800
but are you able to communicate

285
00:12:34,800 --> 00:12:37,350
with the iNaturalist
people or the eBird people

286
00:12:37,350 --> 00:12:40,240
and say, "Hey, we used your
data, and this is how?"

287
00:12:40,240 --> 00:12:42,837
[Kyle] Yeah, so that's
something that we're working on,

288
00:12:42,837 --> 00:12:46,500
and this was sort of,
the grant covered this

289
00:12:46,500 --> 00:12:49,083
and sort of an initial
product that we created

290
00:12:49,083 --> 00:12:50,880
that I haven't talked about,

291
00:12:50,880 --> 00:12:53,460
but it's something that we
need to do more of, of course.

292
00:12:53,460 --> 00:12:55,440
The other aspect of this grant project

293
00:12:55,440 --> 00:12:59,040
was a display that we put
in the Welcome Center.

294
00:12:59,040 --> 00:12:59,873
It's very similar.

295
00:12:59,873 --> 00:13:01,770
It sort of pulls iNaturalist data.

296
00:13:01,770 --> 00:13:05,400
If you think of like when
you go into say like a refuge

297
00:13:05,400 --> 00:13:07,410
and you see like the
list of recent sightings,

298
00:13:07,410 --> 00:13:09,660
and people have written down
stuff, it's sort of like that,

299
00:13:09,660 --> 00:13:11,010
but tailored to a little bit more

300
00:13:11,010 --> 00:13:12,630
of a fancy like webpage version.

301
00:13:12,630 --> 00:13:15,780
So people come, whoever visits
the Welcome Center in Acadia,

302
00:13:15,780 --> 00:13:17,130
specifically right now it's only

303
00:13:17,130 --> 00:13:19,080
on the Schoodic site where we are,

304
00:13:19,080 --> 00:13:21,270
but whoever comes into our Welcome Center

305
00:13:21,270 --> 00:13:23,040
can scroll down and see and explore

306
00:13:23,040 --> 00:13:24,870
on this touch screen display.

307
00:13:24,870 --> 00:13:26,820
So that's one way that
we're trying to do it,

308
00:13:26,820 --> 00:13:30,060
but we need to work
more on, for sure, yeah.

309
00:13:30,060 --> 00:13:31,560
We'll go with the black first.

310
00:13:33,030 --> 00:13:34,830
[Attendee] So many questions.

311
00:13:34,830 --> 00:13:36,588
How do you get your volunteers,

312
00:13:36,588 --> 00:13:39,520
and how do you handle
sensitive information?

313
00:13:39,520 --> 00:13:40,583
Like say you have rare plant

314
00:13:40,583 --> 00:13:43,350
and you don't want people to
know the location information?

315
00:13:43,350 --> 00:13:46,890
Like, do you have geographic
location information

316
00:13:46,890 --> 00:13:47,760
or is it blurred out,

317
00:13:47,760 --> 00:13:50,040
or you know, generalized on iNaturalist?

318
00:13:50,040 --> 00:13:51,332
[Kyle] No, great questions.

319
00:13:51,332 --> 00:13:54,480
iNaturalist and eBird have
filters in place already

320
00:13:54,480 --> 00:13:56,130
for that sort of stuff.

321
00:13:56,130 --> 00:13:58,620
If park managers specifically

322
00:13:58,620 --> 00:14:00,900
were, you know, were,

323
00:14:00,900 --> 00:14:03,180
I mean, they would have to...

324
00:14:03,180 --> 00:14:06,630
No matter what, right, if
iNaturalist isn't already

325
00:14:06,630 --> 00:14:09,180
sort of like filtering for those,

326
00:14:09,180 --> 00:14:11,190
then it's gonna be accessible publicly.

327
00:14:11,190 --> 00:14:14,220
So right now, it's kind of
relying upon iNaturalist

328
00:14:14,220 --> 00:14:15,720
to choose those, and they do have

329
00:14:15,720 --> 00:14:17,640
a lot of those sort of filters in place.

330
00:14:17,640 --> 00:14:18,690
Same with eBird.

331
00:14:18,690 --> 00:14:20,610
And then, I'm forgetting the other part.

332
00:14:20,610 --> 00:14:22,500
[Attendee] How do you get
your volunteers, authors?

333
00:14:22,500 --> 00:14:24,850
[Kyle] So right now,
right, we're really not

334
00:14:26,280 --> 00:14:27,113
advertising.

335
00:14:27,113 --> 00:14:30,360
It's just sort of the draw of the park.

336
00:14:30,360 --> 00:14:32,130
In this case, I think
that's really bringing in

337
00:14:32,130 --> 00:14:34,680
a lot of people, so it's just completely

338
00:14:34,680 --> 00:14:37,320
kind of passive monitoring
that's happening.

339
00:14:37,320 --> 00:14:40,710
However, of course, active management

340
00:14:40,710 --> 00:14:44,160
or active engagement of
people would then tailor

341
00:14:44,160 --> 00:14:45,900
towards maybe a more specific product

342
00:14:45,900 --> 00:14:47,400
that could be even more effective.

343
00:14:47,400 --> 00:14:48,840
So it's something that the park

344
00:14:48,840 --> 00:14:50,100
is looking into more and more,

345
00:14:50,100 --> 00:14:51,870
and it's something that
we at Schoodic Institute

346
00:14:51,870 --> 00:14:54,030
have progressed this past summer,

347
00:14:54,030 --> 00:14:57,420
with our example of using
Earthwatch volunteers to do that

348
00:14:57,420 --> 00:14:59,100
in a few spots in the park.

349
00:14:59,100 --> 00:15:00,420
[Attendee] Does the
Visitor Center, though,

350
00:15:00,420 --> 00:15:03,787
say, like, "If you
collect iNaturalist data,

351
00:15:03,787 --> 00:15:05,280
"it will be seen on this monitor?"

352
00:15:05,280 --> 00:15:07,290
Like, so are people
seeing that information

353
00:15:07,290 --> 00:15:08,840
as they're going into the park?

354
00:15:09,690 --> 00:15:11,970
[Kyle] Only if they visit
our center at this point,

355
00:15:11,970 --> 00:15:14,833
but we do want to expand it further on.

356
00:15:16,422 --> 00:15:18,330
We'll go with Georgia.

357
00:15:18,330 --> 00:15:21,210
[Georgia] I'm wondering
about the quality control

358
00:15:21,210 --> 00:15:22,320
around certain species.

359
00:15:22,320 --> 00:15:25,560
Like some of the, you
know, iNaturalist obviously

360
00:15:25,560 --> 00:15:27,780
has the research grade.

361
00:15:27,780 --> 00:15:29,493
That's one piece, but then,

362
00:15:30,690 --> 00:15:32,160
you know, are there certain species

363
00:15:32,160 --> 00:15:34,470
that it's really hard
to tell from a picture

364
00:15:34,470 --> 00:15:38,160
or that you really wanna make
sure you're checking first

365
00:15:38,160 --> 00:15:39,903
before you're moving it to the,

366
00:15:40,777 --> 00:15:44,310
"Yes, this is an invasive
beetle or whatever?"

367
00:15:44,310 --> 00:15:48,030
Or is there any in between?

368
00:15:48,030 --> 00:15:49,440
[Kyle] Basically what happens right now

369
00:15:49,440 --> 00:15:53,460
is this list that you saw,
whenever they filter for

370
00:15:53,460 --> 00:15:55,650
and, or presented it
for the managers to see,

371
00:15:55,650 --> 00:15:59,100
it's a list of everything,
just so we can capture

372
00:15:59,100 --> 00:16:01,650
any possibility of species,

373
00:16:01,650 --> 00:16:03,810
but they do double check themselves

374
00:16:03,810 --> 00:16:06,600
before ever like taking any action.

375
00:16:06,600 --> 00:16:09,873
Yeah, that's just an Understanding
that it came to, yeah.

376
00:16:12,657 --> 00:16:13,500
[Guest] These functions and scripts

377
00:16:13,500 --> 00:16:14,400
that you've built in R,

378
00:16:14,400 --> 00:16:16,800
are these available publicly to share?

379
00:16:16,800 --> 00:16:17,633
[Kyle] They are, yeah.

380
00:16:17,633 --> 00:16:19,200
They're accessible on GitHub, yeah.

381
00:16:19,200 --> 00:16:20,070
[Guest] Do you have, nice.

382
00:16:20,070 --> 00:16:22,050
Could you share a link
for, like, the Github?

383
00:16:22,050 --> 00:16:23,220
[Kyle] I think we could.

384
00:16:23,220 --> 00:16:25,810
I have to clear that unfortunately
with the (indistinct).

385
00:16:25,810 --> 00:16:26,643
(audience laughs)

386
00:16:26,643 --> 00:16:27,476
Yes.

387
00:16:28,680 --> 00:16:29,820
[Partaker] Have you
thought about incorporating

388
00:16:29,820 --> 00:16:34,230
other similar databases like iMapInvasives

389
00:16:34,230 --> 00:16:37,920
that target specifically
invasive species or?

390
00:16:37,920 --> 00:16:39,990
[Kyle] Yeah, it's something
that we've considered

391
00:16:39,990 --> 00:16:41,280
but haven't done yet.

392
00:16:41,280 --> 00:16:44,610
So, obviously the grant
is now over at this point,

393
00:16:44,610 --> 00:16:47,100
so its current funding to
keep progressing it is out,

394
00:16:47,100 --> 00:16:47,940
but we're definitely interested

395
00:16:47,940 --> 00:16:49,620
in pursuing more opportunities

396
00:16:49,620 --> 00:16:53,213
to start doing something
like that, so yeah.

397
00:16:53,213 --> 00:16:54,493
Yeah.

398
00:16:54,493 --> 00:16:55,326
[Viewer] I was curious,

399
00:16:55,326 --> 00:16:58,590
did any of your app partners
have either the ability

400
00:16:58,590 --> 00:17:01,620
or the willingness to identify

401
00:17:01,620 --> 00:17:03,053
local projects like these

402
00:17:03,053 --> 00:17:04,560
so that you could work with them.

403
00:17:04,560 --> 00:17:07,710
Did someone, I mean, in Acadia
you could have obviously

404
00:17:07,710 --> 00:17:09,390
your own advertisements about it,

405
00:17:09,390 --> 00:17:11,610
but you come to an area
that's been flagged

406
00:17:11,610 --> 00:17:12,750
for this type of opportunity.

407
00:17:12,750 --> 00:17:14,310
If you have your app, it lets you know

408
00:17:14,310 --> 00:17:17,460
that something is not going
in that area, what it is.

409
00:17:17,460 --> 00:17:20,673
Like, is that something that
they have any ability to do?

410
00:17:21,810 --> 00:17:22,643
[Kyle] I don't know

411
00:17:22,643 --> 00:17:24,450
if I'm fully understanding the question.

412
00:17:24,450 --> 00:17:26,400
[Viewer] So, you're geotagged obviously

413
00:17:26,400 --> 00:17:27,900
for your own observations

414
00:17:27,900 --> 00:17:29,220
when you're using any of those apps.

415
00:17:29,220 --> 00:17:31,710
This is something that would identify,

416
00:17:31,710 --> 00:17:35,250
you've identified a shapefile
for Acadia, for example.

417
00:17:35,250 --> 00:17:37,290
Anything, any observations
coming from that area

418
00:17:37,290 --> 00:17:38,257
could then, for example,

419
00:17:38,257 --> 00:17:40,087
"Hey that was something it did flag.

420
00:17:40,087 --> 00:17:42,487
"Hey, this is a project ongoing
in Acadia National Park.

421
00:17:42,487 --> 00:17:45,570
"These are the sorts of
things they're looking for,"

422
00:17:45,570 --> 00:17:46,680
to make it less passive.

423
00:17:46,680 --> 00:17:47,513
[Kyle] Right.

424
00:17:47,513 --> 00:17:48,780
No, I mean, we haven't done that,

425
00:17:48,780 --> 00:17:50,880
but I do think that's a good opportunity.

426
00:17:50,880 --> 00:17:52,380
I don't know what sort of tools exist

427
00:17:52,380 --> 00:17:53,460
within iNaturalist for that.

428
00:17:53,460 --> 00:17:54,750
Like with, I don't know
if you can send out

429
00:17:54,750 --> 00:17:58,598
messages like that to
the projects or not, but,

430
00:17:58,598 --> 00:18:00,426
I'm getting a maybe, a
yes back there. (laughs)

431
00:18:00,426 --> 00:18:01,259
-Yeah.
-So yeah,

432
00:18:01,259 --> 00:18:04,320
maybe that's a good opportunity
to pursue in the future.

433
00:18:04,320 --> 00:18:05,910
[Host] I think we do
have one online question.

434
00:18:05,910 --> 00:18:06,743
[Duncan] We did.

435
00:18:06,743 --> 00:18:08,017
This is from Sylvia Chin.

436
00:18:08,017 --> 00:18:08,917
"This is really exciting.

437
00:18:08,917 --> 00:18:11,107
"Can you use these data
in a quantitative way

438
00:18:11,107 --> 00:18:13,650
"or is it mostly presence or absence?"

439
00:18:13,650 --> 00:18:16,740
[Kyle] In, I mean, at large, definitely.

440
00:18:16,740 --> 00:18:17,850
In this sort of situation,

441
00:18:17,850 --> 00:18:19,440
it is mainly just presence/absence,

442
00:18:19,440 --> 00:18:22,340
but that's what the park was
most interested at this time.

443
00:18:23,280 --> 00:18:26,310
But I mean, yes, like, we
have the quality grades

444
00:18:26,310 --> 00:18:28,560
that exist within
iNaturalist and eBird, right?

445
00:18:28,560 --> 00:18:30,877
You know, there's complete
checklists in eBird

446
00:18:30,877 --> 00:18:34,260
that enable us to sort of
do like occupancy analysis

447
00:18:34,260 --> 00:18:37,080
and things like that, where
you can actually assume

448
00:18:37,080 --> 00:18:39,990
non-detection based on
the lack of presence.

449
00:18:39,990 --> 00:18:42,090
If someone was fully,

450
00:18:42,090 --> 00:18:44,190
and you check the box saying
you are actually out there

451
00:18:44,190 --> 00:18:46,320
for this amount of time, this distance,

452
00:18:46,320 --> 00:18:48,120
and this is exactly what you did see,

453
00:18:48,120 --> 00:18:49,650
like, so that's one aspect.

454
00:18:49,650 --> 00:18:50,483
And then there's of course

455
00:18:50,483 --> 00:18:53,073
the iNaturalist research
grade quality stuff too.

456
00:18:54,270 --> 00:18:55,103
So,

457
00:18:56,340 --> 00:18:57,960
within reason, there is certainly

458
00:18:57,960 --> 00:19:00,330
a lot of opportunity for more quantitative

459
00:19:00,330 --> 00:19:01,620
and like professional science

460
00:19:01,620 --> 00:19:03,270
with these sorts of science data.

461
00:19:07,530 --> 00:19:09,240
[Host] Great. We're just
right on time so that,

462
00:19:09,240 --> 00:19:10,467
oh, you have, sorry, you
have one more question?

463
00:19:10,467 --> 00:19:11,300
-Sorry.
-Yeah, we have time

464
00:19:11,300 --> 00:19:12,133
-for one more.
-Just building off

465
00:19:12,133 --> 00:19:14,130
of some of the ideas from earlier,

466
00:19:14,130 --> 00:19:16,590
you know, Acadia gets a ton of visitation

467
00:19:16,590 --> 00:19:20,160
in a relatively small area, land base.

468
00:19:20,160 --> 00:19:22,410
I'm curious on like
what challenges you see

469
00:19:22,410 --> 00:19:25,380
for translating this to a
different area of property

470
00:19:25,380 --> 00:19:27,030
that doesn't get that visitation

471
00:19:27,030 --> 00:19:30,150
or is more spread out

472
00:19:30,150 --> 00:19:33,000
and maybe, you know, like
what threshold you see

473
00:19:33,000 --> 00:19:36,825
to this working there, or
how you would combat that?

474
00:19:36,825 --> 00:19:37,658
[Kyle] No, it's a great question,

475
00:19:37,658 --> 00:19:39,660
and something that we've
also pursued in the project

476
00:19:39,660 --> 00:19:41,790
is we created the same sort of products

477
00:19:41,790 --> 00:19:43,800
for Katahdin Woods and
Waters National Monument

478
00:19:43,800 --> 00:19:45,630
up near Baxter State Park in Maine.

479
00:19:45,630 --> 00:19:48,630
Much newer, a lot big,
well, not a lot bigger

480
00:19:48,630 --> 00:19:51,690
in terms of area, and a
lot less visitation, right?

481
00:19:51,690 --> 00:19:56,100
The products still work, but
maybe to a lesser degree.

482
00:19:56,100 --> 00:19:58,980
And the one thing there
is I think in these areas

483
00:19:58,980 --> 00:20:02,400
that maybe don't have quite
the same amount of engagement,

484
00:20:02,400 --> 00:20:03,950
the one thing that we do see is

485
00:20:05,550 --> 00:20:07,110
the number of engagement, I mean, right?

486
00:20:07,110 --> 00:20:08,610
We do see consistent,

487
00:20:08,610 --> 00:20:11,463
more consistent engagement
with the same volunteers.

488
00:20:12,480 --> 00:20:15,480
So, if we can build
sort of like a good team

489
00:20:15,480 --> 00:20:17,160
that's really consistent
and really reliable,

490
00:20:17,160 --> 00:20:18,840
that might be sort of more of the way

491
00:20:18,840 --> 00:20:19,673
that you have to do it.

492
00:20:19,673 --> 00:20:22,260
And that might require a little
bit more of an investment

493
00:20:22,260 --> 00:20:24,560
from like the main
interest in that area, but.