WEBVTT

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This is the Pepperwood Podcast, a production

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of Pepperwood, a nonprofit conservation organization

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based at a 3 ,200 -acre nature reserve near Santa

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Rosa, California, in the heart of the traditional

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homeland of the Wappo people. At Pepperwood,

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we aim to inspire conservation through science.

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And on this show, we talk to scientists, stewards,

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and environmental educators about what they do

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and how they do it. We hope to give you a glimpse

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into the real experiences of folks who devote

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their lives to taking care of local ecosystems

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and sharing them with others. Welcome back to

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the Pepperwood Podcast. This is Season 2, Episode

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2, and we're going to dive into some science.

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We do an immense amount of data collection and

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analysis here at Pepperwood, creating long -term

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data sets that help us monitor what is happening

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on the landscape to better understand how things

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are changing through time. That can ultimately

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help us determine what kind of stewardship work

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might be the most effective in preserving the

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rich biodiversity that we so value in our local

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ecosystems. Today we're going to highlight the

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monitoring of abiotic elements, non -living components

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of the ecosystems. These can be crucial influences

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on the biotic or living components like the plants,

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animals, fungi, you get it. Tracking abiotic

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conditions helps us understand what might drive

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changes in plants and animal populations. Spearheading

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much of Pepperwood's abiotic data collection

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is today's guest, Ryan Farrell. Ryan grew up

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in Santa Rosa, and he went to UC Davis as both

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an undergrad and a graduate student. He got his

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master's in science in soils and biogeochemistry,

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so an abiotic guy from way back. Ryan is now

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our Sentinel site manager, and I started off

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by asking him what exactly that means. The short

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history is I started out as a research technician

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and then a research scientist. And today they

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call me the Sentinel Site Manager up here. I

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still feel like it's a big title that like, what

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does that really mean? And I always tell everybody,

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like, it's a whole lot of things, which is more

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the nature of Pepperwood. Related to the science,

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I often consider myself the abiotic guy, like

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think sensors and telemetry networks are like

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radios and there's different kinds of radios.

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How do we get the data back? So hydrology, soils

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and arguments can be made throughout all those

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disciplines that like, oh, there's biology involved

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as well. And that's the case with the natural

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world. You can't really focus on one discipline

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and just live in that silo because there's so

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many things that interact across that divide.

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But in a nutshell, that's. That's most of my

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science job up here is keeping all that data

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flowing. And certainly, as Michelle Halber has

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said, we wear a lot of hats up here at Pepperwood.

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So I'm always getting tapped to get in on the

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ecology and the biological side of things. And

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then stewardship as well. And that's science,

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too. We try to implement that adaptive management

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plan. So I tell people it's my job to put the

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numbers to the management. And so we make. essentially

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data informed management decisions and complete

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that loop. Like, hey, we're trying to do this.

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Did we accomplish this? No. Why not? How would

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we change that? And so it's my job, at least

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I tell myself and everybody else, to gather those

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numbers so that we can then, you know, make informed

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decisions about our stewardship moving forward.

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What are some of the actual parameters? What

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are some of the data points that you're catching?

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All right, so the big one, and maybe there's

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a bias in here, but the soils and hydrology,

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and they interact together because so often the

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water is within the soils, and that's the medium

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that the roots are tapped into, so our plant

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life is tapped into, that the biology and the

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wildlife feed on. But the hydrology metric, you

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know, I like to think of things at the watershed

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scale and landscape level because, you know,

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it's so dynamic. I often say you could throw

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a rock in any direction up here and be in a completely

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different micro ecosystem or environment. But

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if you integrate all that chaos and heterogeneity

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and opportunity together at the bottom end of

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that watershed, as defined by one thing, topography,

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you get... a value of flow how much water is

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exiting that system and that value has to do

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with all the interactions of what's going on

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up above so so you're not sort of lost in the

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weeds you can like zoom way out and like okay

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what does all of this produce and that's that

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hydrologic flow measurement how do we measure

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that stream flow um we use fixed geometry weirs

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it's like weirs or flumes in this case it's a

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90 degree v -notch weir that has a bunch of empirical

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data behind it and rating curves like hey if

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the water is you know x inches high four inches

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high going through this geometry and you meet

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these conditions laminar flow then we know the

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flow is this um and then all the way up through

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those heights of water going over the equation

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matches it so can i just pause and say what a

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weir looks like. If you stumbled upon it, what

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would it look like in the wild? You'd be rock

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hopping down the creek, probably looking down,

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looking for dicampidons and other cool stuff

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in the creek bed. And all of a sudden, you'd

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walk into a huge concrete wall and be like, oh

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my God, where did this come from? Who put this

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here? What is this? And it's a, yeah, it can

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be a little alarming, I suppose, but I promise

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we got the permits from California Department

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of Fish and Wildlife, the Lake and Stream Med

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Alteration Agreements, and the Water Quality

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Control Board. they were all thrilled with the

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idea. Because, you know, up here in the mountaintops,

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this is where floods are born. It's where you

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get most of the precipitation. And lower in the

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Santa Rosa Plain, when you get flooding and this

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and that, it's important to know, well, what's

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going on up there? Because that determines what

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happens down here. So anyways, putting these

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structures in. It's kind of a wall, but it's

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a partial wall that has like a very geometric

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gap that allows water to pass through. And then

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using that gap, you can use that to sort of triangulate

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the amount of flow. Is that accurate? Yes, there's

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a pressure transducer. It's a sensor. It measures

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the height of water. Based on the high water,

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you know how much water is going over the structure,

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the weir. And from there, you just apply the

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equation and that converts that stage or depth

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of water into a flow. So do you have to go manually

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check that or is that transducer sort of automatically?

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Automatic, collecting in. real time every 15

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minutes um so we yeah we get pretty solid the

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amount of water that's moving through this creek

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is being monitored every 15 minutes every 15

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minutes and up here you know given the atmospheric

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rivers and even the slow base flows this dynamic

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place like yeah the point measurements would

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be one off in time would be so difficult that

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would have nothing have no relationship to the

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way water moves through so you can see with that

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15 minute data on those uh, sensors and loggers.

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Yeah. You get the perfect curve of like, here

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comes the rain. You see it jump up real quick.

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And then you see that long tail off as our, as

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everything drains off the landscape, which those

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response times, um, are critical and understanding

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like how the watershed responds and what flood

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generation looks like downstream. I'd love to

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talk gadgets. Like what are some of the variety

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of gadgets you use? Like, let's just say just

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for soils and water or the confluence of those

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two. all right let's start with the soils um

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our like bread and butter is your standard soil

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sensor uh campbell scientific makes them but

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a lot of manufacturers do we use a lot of campbell

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scientific gear it's the cs655 it's a tdr sensor

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uses time domain reflectimetry, tometry. Anyways,

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it sends a pulse down these rods, and the rate

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at which that pulse returns, and I might be getting

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this a little wrong, but it's my understanding,

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the rate at which that pulse returns is correlated

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to the water content. And these sensors are widely

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used and have gone through multiple iterations

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through Campbell through the years. But we have,

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I think, about 175 of those in the ground around

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Pepperwood. The vast majority of those are these

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water content sensors, those CS655s by Campbell

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Scientific. And for that many sensors, I think

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they're in 42 locations across the preserve.

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I should know. I put them all out there, but

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it's been many years and many holes. And they're

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in stacked arrays. So it's not just like put

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a sensor in at 15 centimeters and call it good.

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They're at 15, 30, 50, and 100 centimeters. So

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having them like that, you can say a whole lot

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about how is water. So hydrology, how is water

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moving through the profile? What's the infiltration

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rate? And certainly you can look at things like

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porosity and saturation. It's kind of a proxy.

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But ultimately, at the landscape scale, the watershed

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scale, you can say, hey, how much water are we

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storing in this sponge, the soil here in this

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watershed? So it's an important term. as far

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as the water balance goes. So most of your soil

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sensors are also moisture sensors. It's really

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the moisture of the soil that you're the most

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concerned about. Are there other elements of

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the soil or other aspects of the soil that you're

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also gathering data on? Yes. So we have a few

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of these out there, and I've gone through the

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calibrations to make them work, but I'm not an

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expert. They're called heat dissipation probes.

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So, all right, I'm going to try to do my best

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to explain this one. These heat dissipation probes...

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measure with the calibration the matrix potential

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of the soil. That is, how tightly is the soil

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holding on to the water? Because things are competing

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for that water. The soil is holding on to it,

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but also the trees are trying to extract it with

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their roots. And if you can visualize the analogy

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here, you have a sponge in your hand and it's

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sopping wet. Well, at first, you can wring out

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the water in the sponge. It drips, drips, drips,

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drips. You wringing that out, that's a lot like

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the roots pulling on that water. Yeah, utilizing

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that water. But eventually, no matter how hard

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you wring that thing out, you can't get another

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drop to come out. But you can still feel that

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it's wet. You know there is still moisture there.

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And so these heat dissipation probes tell you...

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the matrix potential or how tightly the water

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is being held by the soil. And so this will tell

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you things like the permanent wilting point or

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field capacity, these thresholds that have been

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determined where plants can no longer uptake

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water, which is a really important thing for

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phenology and just response in the ecosystem.

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It certainly gets onto fire danger because now

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the trees are really stressed because they don't

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have enough water. They can't get to it. So we

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have a few sets of those out there. But like

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I said, they take a big calibration process and

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I've gone through it. Part of that calibration

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process requires some pretty fancy equipment,

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which I didn't have. So I worked with tech support

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to, hey, how do I make this work? So I kind of

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did the low -budget version of that, but I really

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wanted to go through the process and learn. So

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anyways, that's a pretty cool data set we have

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out here. Well, and that paints a picture for

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me a little bit of what your job entails. It's

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not just putting sensors out. I mean, I'm sure

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that the installation process is substantial,

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but once you've installed them, You're collecting

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data and you're analyzing it. But in between

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that, there's an incredible amount of maintenance

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and recalibration that goes into it, right? So

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the ongoing maintenance is a big part of what

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you do. Mm -hmm. Honestly, the installation process,

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I love because it's brand new. It's clean. You

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can take your time, like get it perfect. And

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like, yes, you have to dig the hole, but you

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know, that's okay. I like working hard and breaking

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a sweat at work. But the ongoing maintenance,

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especially when you start to add up 42 locations

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all over the preserve, 175 sensors, and they're

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all buried. So like if something goes wrong,

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now you get to evaluate, do I dig this up? Do

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I just dig a new hole and put a new sensor in

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at that depth? And so, you know, I often say

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like it could be a full time job just to watch

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these data streams. Yes, it comes back in real

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time most of the time, but you still have to

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see it and look at it and go, oops, that doesn't

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make any sense or that sensor is not responding

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correctly. And then dive deeper to evaluate that

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problem. So if you scale that up by 175 sensors,

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yeah, the maintenance required and the like.

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the dedication to watching the data, looking

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at the data. And certainly we've made lots of

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efforts. Like, you know, can we set up thresholds

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within our databases that would then alert us

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or notify us? There's only so much you can automate.

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Yeah, and sometimes there's seasonal thresholds

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in soil moisture, right? You could certainly

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have like 60 % volumetric water content soil

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moisture in the wintertime. And so if you set

00:12:50.690 --> 00:12:53.080
your threshold there... But in the summertime,

00:12:53.220 --> 00:12:55.000
you would never expect to see that around here.

00:12:55.100 --> 00:12:57.740
And so it gets pretty complicated. How do you,

00:12:57.740 --> 00:13:00.799
you know, pre -process and filter that data coming

00:13:00.799 --> 00:13:04.080
in and have, you know, flags thrown your way

00:13:04.080 --> 00:13:05.840
or email alerts or something like something's

00:13:05.840 --> 00:13:07.720
weird about this sensor. So we work on that,

00:13:07.799 --> 00:13:10.460
but it's still, yeah, the maintenance is a huge

00:13:10.460 --> 00:13:15.019
part. Hydrology and the availability of moisture

00:13:15.019 --> 00:13:17.879
for plants and animals is such a crucial element

00:13:17.879 --> 00:13:20.220
in an ecosystem. We could have gone on discussing

00:13:20.220 --> 00:13:23.210
it all day. But I didn't want to forget about

00:13:23.210 --> 00:13:25.629
the other equally important environmental metrics

00:13:25.629 --> 00:13:28.309
that Ryan monitors, so we branched out to discuss

00:13:28.309 --> 00:13:31.509
some of those. There's a whole lot of physical

00:13:31.509 --> 00:13:34.090
characteristics of soil like bulk density or

00:13:34.090 --> 00:13:38.389
particle size that soils kind of in the young

00:13:38.389 --> 00:13:40.490
range are 10 ,000 years old all the way through

00:13:40.490 --> 00:13:43.649
a million years old. But certainly I often think

00:13:43.649 --> 00:13:45.509
hundreds of thousands of years old to develop

00:13:45.509 --> 00:13:49.570
and become what they are today. I feel confident

00:13:49.570 --> 00:13:52.529
in like measuring both density, especially in

00:13:52.529 --> 00:13:54.909
our forest environments where we're not grazing

00:13:54.909 --> 00:13:57.129
or there's not a whole lot of impact. You know,

00:13:57.149 --> 00:13:59.350
there's fire on the surface, but you're unlikely

00:13:59.350 --> 00:14:03.590
to change bulk density or porosity or particle

00:14:03.590 --> 00:14:05.409
size. You're not going to change. In the course

00:14:05.409 --> 00:14:07.830
of a year or 10 years or a thousand years. We

00:14:07.830 --> 00:14:10.450
have those data sets. I've done it for like 90

00:14:10.450 --> 00:14:12.490
locations across the preserve, things like bulk

00:14:12.490 --> 00:14:14.330
density and particle size. We have the equipment

00:14:14.330 --> 00:14:17.950
to do it. But I feel pretty confident like you

00:14:17.950 --> 00:14:20.509
could do that once. That's not an ongoing process.

00:14:20.590 --> 00:14:24.149
The way that water and hydrology is maybe more

00:14:24.149 --> 00:14:26.190
of a dynamic system that needs you to keep your

00:14:26.190 --> 00:14:29.409
eyes open, so to speak, your sensor eyes. Great.

00:14:29.490 --> 00:14:32.429
Let me throw in one thing there. The soil carbon

00:14:32.429 --> 00:14:35.350
question. We have long been after the carbon

00:14:35.350 --> 00:14:40.210
question. And because we graze and we do a lot

00:14:40.210 --> 00:14:43.200
of restoration planning with... native perennial

00:14:43.200 --> 00:14:45.840
grasses with deep roots and we even use fire

00:14:45.840 --> 00:14:48.759
you may be able to change carbon in the shorter

00:14:48.759 --> 00:14:52.100
term but you know it's such in small concentrations

00:14:52.100 --> 00:14:55.360
that it's brutally hard to measure and you need

00:14:55.360 --> 00:14:57.580
like super precise equipment like we're not going

00:14:57.580 --> 00:14:59.480
to have that but you could partner with with

00:14:59.480 --> 00:15:01.559
different agencies perhaps the universities like

00:15:01.559 --> 00:15:04.830
davis have some cool instruments um So that's

00:15:04.830 --> 00:15:08.429
some fessing up the gap in our knowledge. That

00:15:08.429 --> 00:15:10.950
carbon question has been on the top of my mind

00:15:10.950 --> 00:15:12.309
for seven years, and people have brought it up

00:15:12.309 --> 00:15:13.850
like, oh, we should do this, we should do this,

00:15:13.870 --> 00:15:16.490
especially with respect to our paired grazing.

00:15:16.710 --> 00:15:18.850
Getting above the soil, what are some climate

00:15:18.850 --> 00:15:22.649
elements that you're measuring? Sure. All right.

00:15:22.870 --> 00:15:26.889
So weather stations. There's not exactly one

00:15:26.889 --> 00:15:28.789
definition, like what all goes into a weather

00:15:28.789 --> 00:15:31.190
station, because there's... all kinds of different

00:15:31.190 --> 00:15:33.190
sensors that you could add on there you know

00:15:33.190 --> 00:15:34.830
the standard stuff like temperature relative

00:15:34.830 --> 00:15:37.730
humidity wind speed precipitation like those

00:15:37.730 --> 00:15:39.309
are always top of mind and everyone can kind

00:15:39.309 --> 00:15:41.590
of figure out what those are but things like

00:15:41.590 --> 00:15:44.110
barometric pressure or incoming radiation and

00:15:44.110 --> 00:15:47.629
partitioning that radiation into into different

00:15:47.629 --> 00:15:49.509
spectrums like the photosynthetically active

00:15:49.509 --> 00:15:55.279
your par radiometer So, you know, what really

00:15:55.279 --> 00:15:58.159
defines a weather station? What defines our weather

00:15:58.159 --> 00:15:59.820
station? Our weather station? So I like to tell

00:15:59.820 --> 00:16:02.000
people we have five full weather stations out

00:16:02.000 --> 00:16:03.840
there. And they're your classic weather station.

00:16:03.899 --> 00:16:06.179
They're out in the open, so they're not obstructed

00:16:06.179 --> 00:16:10.120
by tree canopy, which is important. So things

00:16:10.120 --> 00:16:13.139
like... wind speed and direction and precipitation

00:16:13.139 --> 00:16:16.759
you can't have a tree over top you because it's

00:16:16.759 --> 00:16:17.879
going to obstruct that and you're going to get

00:16:17.879 --> 00:16:19.620
these weird turbulent values that aren't really

00:16:19.620 --> 00:16:22.679
showing the dominant wind patterns or the true

00:16:22.679 --> 00:16:25.500
rainfall amounts so we have five of those and

00:16:25.500 --> 00:16:28.080
they're stratified across the preserve and sort

00:16:28.080 --> 00:16:31.059
of in these different regions but But what they

00:16:31.059 --> 00:16:33.019
do is they get at different topographies, different

00:16:33.019 --> 00:16:36.559
aspect and different elevations, which is nice

00:16:36.559 --> 00:16:39.639
because we've seen through all those rain gauges

00:16:39.639 --> 00:16:42.679
in those five different locations, we have vastly

00:16:42.679 --> 00:16:44.700
different amounts of rainfall even over short

00:16:44.700 --> 00:16:46.720
spatial distances. Given the topography here,

00:16:46.860 --> 00:16:48.820
you know, the top of the preserve is kind of

00:16:48.820 --> 00:16:50.419
the mountaintop. So we have this rain shadow

00:16:50.419 --> 00:16:53.299
effect where on the leading edge of the preserve,

00:16:53.480 --> 00:16:56.440
you may get as much as... 30 % more rainfall

00:16:56.440 --> 00:16:58.100
than you do right over here at the Dwight Center

00:16:58.100 --> 00:17:00.100
behind the mountain. We've cited a lot of those

00:17:00.100 --> 00:17:02.820
measurements to represent, first, certainly at

00:17:02.820 --> 00:17:05.259
the watershed scale, you know, we want to represent

00:17:05.259 --> 00:17:06.960
the whole watershed, and a lot of times watersheds

00:17:06.960 --> 00:17:09.420
are split between aspects because they have hydrology,

00:17:09.420 --> 00:17:10.880
a creek running right down the middle, so this

00:17:10.880 --> 00:17:13.599
canyon that might be north and south facing.

00:17:15.230 --> 00:17:17.690
So we try to represent the landscape with our

00:17:17.690 --> 00:17:20.009
weather stations. So we have five of those. And

00:17:20.009 --> 00:17:22.450
then we have what I call these micro MET, MET

00:17:22.450 --> 00:17:25.470
short for meteorology or weather station. Sounds

00:17:25.470 --> 00:17:29.210
fancier. We have 15 of those deployed in these

00:17:29.210 --> 00:17:32.289
long -term vegetation plots. Now they're vegetation

00:17:32.289 --> 00:17:34.950
plots. So they're under canopy. So it doesn't

00:17:34.950 --> 00:17:36.930
really make sense to do things like precipitation,

00:17:36.990 --> 00:17:39.210
although through fall is important. It's just

00:17:39.210 --> 00:17:43.190
really difficult to measure. Wind speed and direction

00:17:43.190 --> 00:17:45.250
is not there, and solar radiation, which once

00:17:45.250 --> 00:17:46.970
again, you could make an argument like, well,

00:17:47.089 --> 00:17:49.009
it is kind of important for the herbaceous understory,

00:17:49.029 --> 00:17:50.829
how much sun makes it through the canopy. We

00:17:50.829 --> 00:17:52.549
don't do that, but there's an opportunity there.

00:17:53.509 --> 00:17:57.170
So we do measure temperature, relative humidity,

00:17:57.690 --> 00:18:00.410
leaf wetness, an indicator perhaps of fog or

00:18:00.410 --> 00:18:03.470
dew generation. And at all those locations, we

00:18:03.470 --> 00:18:05.569
also measure soil moisture. And this time, that

00:18:05.569 --> 00:18:07.289
soil moisture is right there in the root zone

00:18:07.289 --> 00:18:11.329
of the forest. Yeah, pretty critical piece to

00:18:11.329 --> 00:18:13.549
our network of soil moisture sensors out there.

00:18:13.950 --> 00:18:15.769
Excellent. So you got those weather stations,

00:18:15.869 --> 00:18:18.630
big and small. Can you tell me about the flux

00:18:18.630 --> 00:18:20.869
towers? Yes. All right. Yeah, I knew you were

00:18:20.869 --> 00:18:24.569
going to go there. Those, in the simplest of

00:18:24.569 --> 00:18:26.750
terms, I tell people, especially if it comes

00:18:26.750 --> 00:18:28.549
to permitting them, because it's a tower, right?

00:18:28.690 --> 00:18:31.130
I tell them like, no, it's just a tall weather

00:18:31.130 --> 00:18:34.349
station. Play it down a little bit. And when

00:18:34.349 --> 00:18:37.250
I say tall, as you know, they're 75 feet tall,

00:18:37.329 --> 00:18:41.940
which is way up there. But a lot of it. is similar

00:18:41.940 --> 00:18:44.480
stuff temperature relative humidity wind speed

00:18:44.480 --> 00:18:46.759
and direction we also measure solar radiation

00:18:46.759 --> 00:18:50.299
there we use a net radiometer so that's your

00:18:50.299 --> 00:18:52.220
different components your incoming short wave

00:18:52.220 --> 00:18:54.200
your incoming long wave and your outgoing short

00:18:54.200 --> 00:18:56.460
wave and long wave and so you get a balance of

00:18:56.460 --> 00:18:58.220
like where's the energy going into the system

00:18:58.220 --> 00:19:00.859
or out of the system but the flux part all right

00:19:00.859 --> 00:19:03.160
and this is this is what really sets these apart

00:19:03.160 --> 00:19:04.779
and makes them more than that weather station

00:19:04.779 --> 00:19:08.359
for the permitting office um there's two sensors

00:19:08.359 --> 00:19:12.299
up there paired together that give the flux tower

00:19:12.299 --> 00:19:14.200
its name. They're measuring the flux. In this

00:19:14.200 --> 00:19:16.740
case, it's water vapor and CO2. So there's an

00:19:16.740 --> 00:19:19.480
infrared gas analyzer that shoots an infrared

00:19:19.480 --> 00:19:22.819
laser between two mirrors, and it measures the

00:19:22.819 --> 00:19:25.460
density or concentration they get at both of

00:19:25.460 --> 00:19:28.279
them of water vapor and CO2 in the air. If you

00:19:28.279 --> 00:19:30.759
pair that with a three -dimensional anemometer,

00:19:30.859 --> 00:19:32.980
so this device measures wind speed and direction,

00:19:33.180 --> 00:19:37.339
so every velocity possible. So you pair the concentration

00:19:37.339 --> 00:19:41.440
of gas. with the velocity the air is moving and

00:19:41.440 --> 00:19:46.000
you do that 60 times a second 60 hertz um you

00:19:46.000 --> 00:19:48.579
can then calculate how much water in this case

00:19:48.579 --> 00:19:51.000
for this pair study we're looking at water vapor

00:19:51.000 --> 00:19:54.539
as a product of evapotranspiration so we can

00:19:54.539 --> 00:19:55.980
talk more about that but we're looking at how

00:19:55.980 --> 00:19:59.440
much water is exiting the system or coming out

00:19:59.440 --> 00:20:01.900
of the system and that's a critical part of the

00:20:01.900 --> 00:20:06.339
water balance so on pause so let me explain this

00:20:06.339 --> 00:20:10.200
one evapotranspiration essentially the uptake

00:20:10.200 --> 00:20:14.640
of water by trees and plants, the forest, they're

00:20:14.640 --> 00:20:16.220
using water. So they're an important part of

00:20:16.220 --> 00:20:18.700
the water balance. Byproduct of evapotranspiration,

00:20:18.740 --> 00:20:21.240
when plants open their stomata to take in CO2,

00:20:21.400 --> 00:20:24.500
they release H2O, water vapor, into the atmosphere.

00:20:24.579 --> 00:20:26.680
And that's directly correlated to their water

00:20:26.680 --> 00:20:30.400
use. And so that water vapor moving through...

00:20:30.960 --> 00:20:33.200
These turbulent eddies, eddy covariance flux

00:20:33.200 --> 00:20:35.799
tower, passes our sensor and we measure it. And

00:20:35.799 --> 00:20:38.339
so that's how it gives us an idea of this biological

00:20:38.339 --> 00:20:41.420
component of the water balance. Hopefully that

00:20:41.420 --> 00:20:44.160
sticks. It's even... No, it's incredible. I'll

00:20:44.160 --> 00:20:45.579
probably sit with it for a little while. I love

00:20:45.579 --> 00:20:47.019
it. No, no, but that's a beautiful description.

00:20:47.099 --> 00:20:51.579
Thank you. Wow. Okay. Thank you for giving us

00:20:51.579 --> 00:20:54.079
a little bit of a tour through your gadgetry.

00:20:54.140 --> 00:20:55.980
I know that we, I'm sure we didn't catch everything,

00:20:56.119 --> 00:20:58.950
but that's a pretty good representation. How

00:20:58.950 --> 00:21:01.190
do you think that having this data is going to

00:21:01.190 --> 00:21:03.289
impact the kind of work we do in the long term?

00:21:03.690 --> 00:21:06.269
All right. So it's my dream, and we talk about

00:21:06.269 --> 00:21:09.329
this, specific to how it impacts our work. So

00:21:09.329 --> 00:21:13.210
back to that adaptive management plan. Those

00:21:13.210 --> 00:21:15.750
stream gauges and the flux towers and a lot of

00:21:15.750 --> 00:21:18.049
those soil sensors are part of this paired watershed

00:21:18.049 --> 00:21:21.269
study. One of the watersheds we treated that

00:21:21.269 --> 00:21:24.009
was a lot of thinning work and then followed

00:21:24.009 --> 00:21:26.029
up with prescribed fire like a broadcast burn

00:21:26.029 --> 00:21:28.289
to clean it all up and The other watershed was

00:21:28.289 --> 00:21:31.029
a control which is relative like it has a fire

00:21:31.029 --> 00:21:33.230
history. It's seen raising But for the term of

00:21:33.230 --> 00:21:35.150
this five -year project, we didn't touch it.

00:21:35.230 --> 00:21:37.970
We just left it alone. So it's our control finger

00:21:37.970 --> 00:21:40.930
quotes Like I said trying to put the numbers

00:21:40.930 --> 00:21:44.190
to the management The hypothesis is here that

00:21:44.190 --> 00:21:46.369
if you get in there and you thin out a bunch

00:21:46.369 --> 00:21:48.710
of these trees in this over -encroached forest

00:21:48.710 --> 00:21:51.069
full of more dug fir than you would have had

00:21:51.069 --> 00:21:52.869
historically because we've suppressed fire for

00:21:52.869 --> 00:21:56.769
hundreds of years, right? Those trees all represent

00:21:56.769 --> 00:21:59.329
straws in the bucket. They're utilizing more

00:21:59.329 --> 00:22:01.470
water within the water balance. Our input is

00:22:01.470 --> 00:22:03.210
precipitation. It's fixed. Whatever rainfall

00:22:03.210 --> 00:22:05.930
we got into the system, that's our input. And

00:22:05.930 --> 00:22:08.289
then from there, it gets partitioned into stream

00:22:08.289 --> 00:22:11.900
flow, soil moisture storage. or deep recharge

00:22:11.900 --> 00:22:14.400
if it gets below the root zone and certainly

00:22:14.400 --> 00:22:18.299
forest water use evapotranspiration and so by

00:22:18.299 --> 00:22:22.180
removing some of those trees you reduce evapotranspiration

00:22:22.180 --> 00:22:24.200
and you shift the water balance away from forest

00:22:24.200 --> 00:22:28.700
use and back into stream flow and that's you

00:22:28.700 --> 00:22:30.720
know it's very important for our riparian areas

00:22:30.720 --> 00:22:32.640
which are these like critical refuges of like

00:22:32.640 --> 00:22:36.279
cool moist things when we get into you know late

00:22:36.279 --> 00:22:40.259
summer when it's hot and dry and so We know exactly

00:22:40.259 --> 00:22:43.099
how many trees, what biomass we took out, what

00:22:43.099 --> 00:22:45.440
prescriptions we used in implementing that stewardship.

00:22:46.019 --> 00:22:48.299
And the hope and the idea is that we can actually

00:22:48.299 --> 00:22:51.019
see what that means in the numbers. Did we increase

00:22:51.019 --> 00:22:54.759
flow this year by X thousands of gallons or acre

00:22:54.759 --> 00:22:58.220
feet, whatever unit you want. And so because

00:22:58.220 --> 00:22:59.779
we have these things set up for the long term,

00:22:59.859 --> 00:23:03.480
you can see that impact year one. And then you

00:23:03.480 --> 00:23:05.519
can see year two and three and four. And as the

00:23:05.519 --> 00:23:07.619
forestry grows in theory, all of a sudden you

00:23:07.619 --> 00:23:10.220
start to lose those. We'll call them benefits,

00:23:10.319 --> 00:23:13.640
but it's all a natural cycle. You see the water

00:23:13.640 --> 00:23:15.619
balance start to shift back towards the forest

00:23:15.619 --> 00:23:18.079
as it regrows, and you see depleted stream flows.

00:23:18.279 --> 00:23:22.099
And so perhaps in five, six, seven years, you

00:23:22.099 --> 00:23:24.059
can look and be like, hey, our stream flows are

00:23:24.059 --> 00:23:26.480
right back to those low levels, and our evapotranspiration

00:23:26.480 --> 00:23:29.940
is way up high again. It's time to implement

00:23:29.940 --> 00:23:32.400
this management again. So you have really this

00:23:32.400 --> 00:23:36.140
data -informed management for hydrologic benefit.

00:23:36.759 --> 00:23:39.819
From another lens here, another angle, we talked

00:23:39.819 --> 00:23:42.220
about benefits to the riparian area and stream

00:23:42.220 --> 00:23:45.799
flow. But in all that thinning work, by reducing

00:23:45.799 --> 00:23:47.940
the number of essentially trees in the forest

00:23:47.940 --> 00:23:50.359
and the water demand of the forest, now there's

00:23:50.359 --> 00:23:52.059
more water for less trees. So those trees are

00:23:52.059 --> 00:23:53.920
not competing with each other as heavily. They're

00:23:53.920 --> 00:23:56.680
not stressed. They're not as susceptible to fire

00:23:56.680 --> 00:24:02.039
or pathogen like a beetle infestation. And so

00:24:02.039 --> 00:24:04.079
you... It's one of those things where like the

00:24:04.079 --> 00:24:06.339
benefit is in having mitigated the chance of

00:24:06.339 --> 00:24:08.839
wildfires. So you don't, it's like, we don't

00:24:08.839 --> 00:24:10.880
actually see it because it didn't happen, which

00:24:10.880 --> 00:24:13.759
is a good thing. Or if fire does come through,

00:24:13.799 --> 00:24:16.039
which is totally fine, it doesn't, you know,

00:24:16.039 --> 00:24:18.539
explode into this huge bonfire of an overstocked

00:24:18.539 --> 00:24:20.259
forest. It might stay on the ground level and

00:24:20.259 --> 00:24:22.400
you get this healthy, low intensity burn that

00:24:22.400 --> 00:24:24.920
just sort of cleans things up. And here's an

00:24:24.920 --> 00:24:26.519
interesting question too. And I'm not sure I

00:24:26.519 --> 00:24:28.019
know the answer, but there's a thought too that.

00:24:28.500 --> 00:24:30.440
fewer and doesn't mean a few there's still lots

00:24:30.440 --> 00:24:34.880
of trees but fewer larger trees um are more efficient

00:24:34.880 --> 00:24:36.900
at carbon storage than having a whole bunch of

00:24:36.900 --> 00:24:38.940
little ones okay i don't know that for sure but

00:24:38.940 --> 00:24:40.599
i've heard that thrown out there and certainly

00:24:40.599 --> 00:24:42.420
that's what pepperwood's management would sort

00:24:42.420 --> 00:24:44.779
of like lead to is hey we're taking out a lot

00:24:44.779 --> 00:24:46.519
of these small encroached furs we're lifting

00:24:46.519 --> 00:24:49.259
up ladder fuels and trying to just reduce the

00:24:49.259 --> 00:24:53.759
density of stems within these units. So all of

00:24:53.759 --> 00:24:57.740
your data collection together is described as

00:24:57.740 --> 00:25:01.079
a Sentinel site. Is that correct? Your position

00:25:01.079 --> 00:25:03.740
is the Sentinel site manager. So then all the

00:25:03.740 --> 00:25:06.059
accumulation of all the data streams that you

00:25:06.059 --> 00:25:09.599
are managing and producing and analyzing is what

00:25:09.599 --> 00:25:12.180
we call a Sentinel site. Is that accurate? It's

00:25:12.180 --> 00:25:14.119
what we call a Sentinel site. And for anyone

00:25:14.119 --> 00:25:16.079
listening, I'm not stepping on any toes here.

00:25:16.200 --> 00:25:19.160
It's all an evolving field and definition, but

00:25:20.009 --> 00:25:23.549
Pepper would sort of help define a sentinel site

00:25:23.549 --> 00:25:25.730
and early on said, hey, we're going to set ourselves

00:25:25.730 --> 00:25:29.089
up for long -term monitoring to watch impacts

00:25:29.089 --> 00:25:34.089
from a warming climate or changing hydrologic

00:25:34.089 --> 00:25:37.089
inputs, more severe storms, and certainly fire

00:25:37.089 --> 00:25:41.410
that follows those changes. I kind of love it

00:25:41.410 --> 00:25:44.730
as a term because it makes you picture, you know,

00:25:44.730 --> 00:25:47.829
a sentinel is like a guard or somebody who's

00:25:47.829 --> 00:25:50.549
out there on a watchtower. So we're kind of setting

00:25:50.549 --> 00:25:53.809
ourselves up as a watchtower by watching all

00:25:53.809 --> 00:25:56.730
of these different elements of the landscape.

00:25:56.829 --> 00:26:00.250
We're watching what's going on even as we are

00:26:00.250 --> 00:26:03.210
impacting it and as impacts that we can't control

00:26:03.210 --> 00:26:05.809
are happening to it. So we're one sentinel and

00:26:05.809 --> 00:26:07.819
we can... We can collect what we want to collect.

00:26:08.240 --> 00:26:09.940
But I think there is some partnership coming

00:26:09.940 --> 00:26:12.859
together where we are one of many Sentinels.

00:26:12.900 --> 00:26:16.799
Is that accurate? Yes. So CDFW, California Department

00:26:16.799 --> 00:26:19.579
of Fish and Wildlife, has been actively working

00:26:19.579 --> 00:26:21.759
on defining what is a Sentinel site. Because

00:26:21.759 --> 00:26:24.839
although I've rambled on here for 30 minutes

00:26:24.839 --> 00:26:26.819
or whatever about everything we're doing at Pepperwood,

00:26:26.960 --> 00:26:29.519
we are just a drop in the bucket. It's 3 ,200

00:26:29.519 --> 00:26:31.720
acres, but even if you zoom out to the county

00:26:31.720 --> 00:26:33.359
level, that's a drop in the bucket. And if you

00:26:33.359 --> 00:26:34.960
zoom out to the state, you don't even see it.

00:26:35.720 --> 00:26:38.559
There's a need, and CDFW recognizes this, to

00:26:38.559 --> 00:26:41.200
like, hey, we need to expand these monitoring

00:26:41.200 --> 00:26:44.700
efforts across the state because it's so dynamic.

00:26:44.859 --> 00:26:47.220
You have, you know, the crest of the Sierras

00:26:47.220 --> 00:26:49.079
all the way to the ocean, Northern California,

00:26:49.180 --> 00:26:51.660
Southern California, different species and ecosystems

00:26:51.660 --> 00:26:55.039
and challenges and opportunities all over the

00:26:55.039 --> 00:26:58.859
state. And so you really want to understand what

00:26:58.859 --> 00:27:01.160
all those different areas look like, how they're

00:27:01.160 --> 00:27:05.920
responding to climate change. and what species

00:27:05.920 --> 00:27:08.039
are there and what opportunities are there. And

00:27:08.039 --> 00:27:11.819
so CEFW has tried to come up with a standard

00:27:11.819 --> 00:27:13.339
definition, because it's important if you have

00:27:13.339 --> 00:27:15.039
all these different areas and people doing this,

00:27:15.099 --> 00:27:17.900
if they're doing things differently, it makes

00:27:17.900 --> 00:27:21.160
a comparison or a regional analysis really difficult.

00:27:21.619 --> 00:27:25.299
And so, you know, it's like from the ground up,

00:27:25.339 --> 00:27:27.829
like, okay. What metrics do we actually collect?

00:27:28.190 --> 00:27:30.630
At what time interval? With what instruments?

00:27:30.910 --> 00:27:33.690
There is so much gained in standardizing those

00:27:33.690 --> 00:27:37.250
protocols. And one of the challenges I, and I

00:27:37.250 --> 00:27:40.210
think they would readily, I don't know if admits

00:27:40.210 --> 00:27:41.769
the right word, but they recognize it as well.

00:27:41.849 --> 00:27:44.609
One of the challenges here is like, we need participation.

00:27:45.509 --> 00:27:48.849
But so how do we make protocols and standards?

00:27:49.879 --> 00:27:52.019
accessible enough that we don't create a barrier

00:27:52.019 --> 00:27:53.819
to entry so we get the right amount of participation.

00:27:54.140 --> 00:27:56.859
But we don't want to lower them so much or, you

00:27:56.859 --> 00:27:59.559
know, put them so low that we're not getting

00:27:59.559 --> 00:28:02.339
what we need and the quality and the data we

00:28:02.339 --> 00:28:05.619
need. And so I recognized that early on. And

00:28:05.619 --> 00:28:08.859
they did as well. And Laura Ward, our conservation

00:28:08.859 --> 00:28:13.240
science director now, is part of the board with

00:28:13.240 --> 00:28:15.900
CDFW and Gary Bucciarelli, who's the chair of

00:28:15.900 --> 00:28:17.700
the Sentinel Site for Nature Network, working

00:28:17.700 --> 00:28:20.650
with CDFW. Anyway, so she's tapped in pretty

00:28:20.650 --> 00:28:22.970
well and has been able to bring a lot of Pepperwood's

00:28:22.970 --> 00:28:25.630
thoughts and ideas into that process, which has

00:28:25.630 --> 00:28:29.190
been fantastic. So as one of the original Sentinel

00:28:29.190 --> 00:28:31.809
sites, how we define ourselves, we now get to

00:28:31.809 --> 00:28:36.509
play a pretty important role in helping put together

00:28:36.509 --> 00:28:39.740
this new definition. um the sentinel sites for

00:28:39.740 --> 00:28:41.400
nature all right well you're very generous in

00:28:41.400 --> 00:28:44.140
putting you put very strong quotation marks uh

00:28:44.140 --> 00:28:47.259
with your body around uh the original sentinels

00:28:47.259 --> 00:28:49.880
but as somebody who's been at this for a while

00:28:49.880 --> 00:28:53.099
um you have tried a few things and you figured

00:28:53.099 --> 00:28:55.019
out some things that work and don't work so is

00:28:55.019 --> 00:28:57.720
that something that we're hopefully you know

00:28:57.720 --> 00:29:00.150
through laura through collaboration with other

00:29:00.150 --> 00:29:02.869
people are you able to sort of offer that as

00:29:02.869 --> 00:29:05.430
you know offer what you've learned to other places

00:29:05.430 --> 00:29:07.269
that are setting up these sentinel sites yes

00:29:07.269 --> 00:29:09.730
certainly and um the sentinel site for nature

00:29:09.730 --> 00:29:12.250
network is leveraging the fact that we're able

00:29:12.250 --> 00:29:13.910
to do things here at pepper when we have been

00:29:13.910 --> 00:29:15.569
doing things we've learned a lot of these lessons

00:29:15.569 --> 00:29:21.190
um and a lot of their interest is in the biodiversity

00:29:21.190 --> 00:29:24.440
so They have a lot of things like cameras and

00:29:24.440 --> 00:29:26.220
drift fences, and I'll talk about that a bit

00:29:26.220 --> 00:29:28.599
more. But they kind of want to know what's there,

00:29:28.660 --> 00:29:30.500
which is a fine question to start. It's a good

00:29:30.500 --> 00:29:32.579
place. You got to know what's there. And I do

00:29:32.579 --> 00:29:34.920
know that's part of Pepperwood. You know, Michael

00:29:34.920 --> 00:29:37.480
Gloagley back in his previous episode mentioned

00:29:37.480 --> 00:29:39.799
the fact that Pepperwood as a piece of land is

00:29:39.799 --> 00:29:42.240
really well studied in terms of like which plants

00:29:42.240 --> 00:29:44.859
and animals are here. Right. What is our biodiversity?

00:29:45.440 --> 00:29:48.039
Would you say that the other sites are also interested

00:29:48.039 --> 00:29:51.519
in some of the abiotic data that you are that

00:29:51.519 --> 00:29:54.599
you've been shepherding for a while? Yes, I think

00:29:54.599 --> 00:29:56.480
everyone recognizes it's critically important.

00:29:57.319 --> 00:30:01.579
But, you know, things like sensors and weather

00:30:01.579 --> 00:30:03.559
stations and data loggers come with a bigger

00:30:03.559 --> 00:30:07.839
price tag and a certain knowledge set to like

00:30:07.839 --> 00:30:10.720
pull that off and then telemeter it as in get

00:30:10.720 --> 00:30:14.150
it back in real time. And also, if you see it

00:30:14.150 --> 00:30:16.029
coming back in real time, that takes care of

00:30:16.029 --> 00:30:17.630
most of the maintenance. It's like, oh, it's

00:30:17.630 --> 00:30:19.470
working. I don't have to go out there as opposed

00:30:19.470 --> 00:30:21.190
to like, you don't know. And then you go out

00:30:21.190 --> 00:30:22.849
there a month later and like, oh, it's not working.

00:30:23.109 --> 00:30:25.069
That's bad. Well, something you've already described

00:30:25.069 --> 00:30:27.289
is the fact that like as these data streams come

00:30:27.289 --> 00:30:30.769
in, you can't just. trust them entirely like

00:30:30.769 --> 00:30:32.910
because of the maintenance that's required so

00:30:32.910 --> 00:30:35.289
you have to be a little bit constantly skeptical

00:30:35.289 --> 00:30:37.910
of your data as it comes in and make sure that

00:30:37.910 --> 00:30:40.549
the sensors are working properly and that takes

00:30:40.549 --> 00:30:42.490
that takes you know not to embarrass you but

00:30:42.490 --> 00:30:45.690
that takes having a ryan farrell on staff paying

00:30:45.690 --> 00:30:48.269
attention to these things and having the expertise

00:30:48.269 --> 00:30:51.609
to be able to flag these things when they come

00:30:51.609 --> 00:30:54.450
in so that that is a tough ask you know manpower

00:30:54.450 --> 00:30:58.470
is almost always limiting factor yeah right for

00:30:58.470 --> 00:31:01.849
for any organization right you need to have not

00:31:01.849 --> 00:31:04.250
only a person but a person with expertise yeah

00:31:04.250 --> 00:31:08.190
I do my best trying of course very generous so

00:31:08.190 --> 00:31:13.099
yes CDFW the Sentinel site for nature Group and

00:31:13.099 --> 00:31:15.619
protocol would like to implement some of these

00:31:15.619 --> 00:31:19.720
abiotic things They're just at the moment They're

00:31:19.720 --> 00:31:22.599
they're just starting real baseline base level

00:31:22.599 --> 00:31:24.059
so they can get a lot of people involved But

00:31:24.059 --> 00:31:26.680
they have meetings at least once a month if not

00:31:26.680 --> 00:31:28.359
every other week to discuss. Hey, what could

00:31:28.359 --> 00:31:30.599
we add here? And then they bring in experts to

00:31:30.599 --> 00:31:33.119
talk about it I've presented to them before and

00:31:33.119 --> 00:31:36.569
other people have presented on on certain dna

00:31:36.569 --> 00:31:38.930
analysis all about like hey discovering what's

00:31:38.930 --> 00:31:43.029
here um but at the moment you know they their

00:31:43.029 --> 00:31:46.569
protocol is pretty simple it's a traditional

00:31:46.569 --> 00:31:51.250
game camera um you know for your medium size

00:31:51.250 --> 00:31:54.789
to larger mammals it's a drift fence with a downward

00:31:54.789 --> 00:31:57.849
facing camera so you know think mice wood rats

00:31:57.849 --> 00:31:59.750
a lot of reptiles snakes and lizards things like

00:31:59.750 --> 00:32:01.710
that i've even seen a few skunks poke their heads

00:32:01.710 --> 00:32:05.009
in there As these critters encounter this drift

00:32:05.009 --> 00:32:06.930
fence, they walk along this little plastic fence

00:32:06.930 --> 00:32:09.710
line and they go through this, call it a camera

00:32:09.710 --> 00:32:11.589
trap, but it doesn't trap them. Well, like a

00:32:11.589 --> 00:32:14.230
photo booth. Yeah, a photo booth, exactly. They

00:32:14.230 --> 00:32:16.130
walk through and then this camera within the

00:32:16.130 --> 00:32:18.369
box, downward facing, takes their picture. And

00:32:18.369 --> 00:32:20.509
so you get that sort of size class of critter.

00:32:21.670 --> 00:32:24.130
And then acoustic monitoring. There's a critical

00:32:24.130 --> 00:32:27.349
one because, you know, there's so many birds

00:32:27.349 --> 00:32:29.509
and bats flying around that you, well, you hardly

00:32:29.509 --> 00:32:30.809
ever see the bats because you're not out here

00:32:30.809 --> 00:32:33.650
in the dark. And the birds, you know, it can

00:32:33.650 --> 00:32:35.930
be tucked away and so small, but you do a better

00:32:35.930 --> 00:32:38.470
job of identifying them through listening for

00:32:38.470 --> 00:32:41.750
their different calls. And so, uh, in the springtime

00:32:41.750 --> 00:32:45.269
during like peak breeding bird time, um, when

00:32:45.269 --> 00:32:48.470
they're really vocal, um, that protocol has you

00:32:48.470 --> 00:32:50.849
put out these audio recorders, their audio moths,

00:32:50.869 --> 00:32:54.809
that's the brand, um, and listen for seven consecutive

00:32:54.809 --> 00:32:57.710
days, a time period of each morning. Um, and

00:32:57.710 --> 00:33:01.279
then The bottleneck there is now you need experts

00:33:01.279 --> 00:33:04.099
or AI to listen to those bird calls. And it's

00:33:04.099 --> 00:33:05.859
a whole chorus, right? There's so many birds

00:33:05.859 --> 00:33:07.400
layered on top of each other, a little white

00:33:07.400 --> 00:33:10.779
noise, some other thing running by. And so you

00:33:10.779 --> 00:33:13.599
have to have the expertise or the right AI algorithms.

00:33:13.680 --> 00:33:17.420
I'm not exactly sure to process all that. So

00:33:17.420 --> 00:33:20.079
anyways, there's a lot of work on the back end

00:33:20.079 --> 00:33:22.859
of the data collection and even identifying images.

00:33:23.900 --> 00:33:25.960
You know, Pepperwood might generate a million

00:33:25.960 --> 00:33:28.839
images a year with our cameras. And we have a

00:33:28.839 --> 00:33:31.059
small army of interns and dedicated staff to

00:33:31.059 --> 00:33:34.480
like deal with that. And so trying to figure

00:33:34.480 --> 00:33:36.940
out how do we deal with this if we do this all

00:33:36.940 --> 00:33:38.900
over the state, even if just for a subset of

00:33:38.900 --> 00:33:40.940
10 weeks. And once again, you need expertise

00:33:40.940 --> 00:33:43.220
to like, what critter is that? Or I see the back

00:33:43.220 --> 00:33:47.220
of this thing. What is that? So a lot of work

00:33:47.220 --> 00:33:49.579
within the Sentinel Site Network is determining.

00:33:50.879 --> 00:33:53.440
Or is working on the data processing pipeline

00:33:53.440 --> 00:33:57.240
and then where you put that data. So when it

00:33:57.240 --> 00:33:59.160
comes to like sort of the current definition

00:33:59.160 --> 00:34:01.119
of sentinel sites and the way that the network

00:34:01.119 --> 00:34:04.019
is working, some of that abiotic data is still

00:34:04.019 --> 00:34:06.720
in development, it sounds like. Yes. The first

00:34:06.720 --> 00:34:08.179
question, and it's a fine question, is like,

00:34:08.219 --> 00:34:09.840
what do we have here? What's out here as far

00:34:09.840 --> 00:34:14.420
as biodiversity in our fauna, our animals? But

00:34:14.420 --> 00:34:17.599
I always go, wait a sec. If after a year or a

00:34:17.599 --> 00:34:19.900
couple years you go, hey, we have less bears

00:34:19.900 --> 00:34:24.780
this year. Why? And you don't have the pieces

00:34:24.780 --> 00:34:26.699
in place like, did you measure anything about

00:34:26.699 --> 00:34:29.340
the vegetation? Did you measure anything about

00:34:29.340 --> 00:34:33.619
climatic conditions, your weather? What changed

00:34:33.619 --> 00:34:37.500
that is possibly influencing the behavior of

00:34:37.500 --> 00:34:40.519
our animals? And CDFW knows it's a glaring gap.

00:34:40.619 --> 00:34:42.940
They're like, oh, we need to address this because,

00:34:43.000 --> 00:34:45.940
you know, it just would. Sort of kills me. Like

00:34:45.940 --> 00:34:47.739
you would see the like, hey, where'd all our

00:34:47.739 --> 00:34:50.840
bears go? And have no ability to even start to

00:34:50.840 --> 00:34:53.239
look at that and like answer. You might have

00:34:53.239 --> 00:34:55.119
anecdotes of like, oh, it felt warmer this year.

00:34:55.179 --> 00:34:57.980
But until you really have the data there, it's

00:34:57.980 --> 00:35:00.519
hard to say for certain. And so they're working

00:35:00.519 --> 00:35:03.000
on that. Like they initially they're like, oh,

00:35:03.000 --> 00:35:04.099
yeah, we're all going to have weather stations.

00:35:04.159 --> 00:35:07.340
Well, maybe not in this first round. So they

00:35:07.340 --> 00:35:09.460
recognize it. They're working on it. And they're

00:35:09.460 --> 00:35:11.199
looking to Pepperwood to help inform that because

00:35:11.199 --> 00:35:13.599
for better or worse, we tend to do everything

00:35:13.599 --> 00:35:17.099
out here. You know, we have our vegetation stuff

00:35:17.099 --> 00:35:20.179
that Michelle heads and we have the A -bike stuff,

00:35:20.239 --> 00:35:22.820
the weather station stuff that I head. And we

00:35:22.820 --> 00:35:26.579
actually had, they hired three folks recently

00:35:26.579 --> 00:35:28.599
out of college, some of them graduate degrees,

00:35:28.840 --> 00:35:32.880
postdoc type of folks, to go all over the state

00:35:32.880 --> 00:35:34.679
in the next couple of years and put like 30,

00:35:34.840 --> 00:35:37.440
set up 30 of these Sentinel site for nature sites.

00:35:38.019 --> 00:35:40.780
And they came to Pepperwood last Friday to see

00:35:40.780 --> 00:35:43.159
what our setup looks like because we've already.

00:35:43.840 --> 00:35:45.719
tweaked things just a little bit so that we align

00:35:45.719 --> 00:35:48.000
with this protocol and like yeah we want to see

00:35:48.000 --> 00:35:49.820
what does it look like when you set this up for

00:35:49.820 --> 00:35:53.280
the long term and um and i always lead with like

00:35:53.280 --> 00:35:56.400
hey i've made enough mistakes that i tend to

00:35:56.400 --> 00:35:59.460
come out a little close to my little closer on

00:35:59.460 --> 00:36:01.280
my first try than others so you've learned how

00:36:01.280 --> 00:36:03.780
to dodge some pitfalls yeah yeah some of them

00:36:03.780 --> 00:36:06.320
and i used to i still find new ones but anyway

00:36:06.320 --> 00:36:08.420
so they came out and that was fantastic and i

00:36:08.420 --> 00:36:11.579
think that relationship will continue And yeah.

00:36:11.699 --> 00:36:13.579
That's really cool. Well, you say we study everything.

00:36:14.059 --> 00:36:16.380
Is there anything on your wish list of things

00:36:16.380 --> 00:36:18.599
that you wish you could add? Well, the soil carbon

00:36:18.599 --> 00:36:21.400
one would be cool. Right. Especially with respect

00:36:21.400 --> 00:36:25.079
to our grazing and our paired grassland transects.

00:36:25.559 --> 00:36:31.539
I also have this dream about experimenting the

00:36:31.539 --> 00:36:34.880
other watersheds with stream flow because our

00:36:34.880 --> 00:36:36.599
management goes around in these circles like

00:36:36.599 --> 00:36:38.500
every five years. Oh, we're going to. We're going

00:36:38.500 --> 00:36:40.280
to thin and treat the forest over here, and then

00:36:40.280 --> 00:36:41.480
we're going to move over here and here and here.

00:36:41.559 --> 00:36:43.000
So every year we're doing something. It'd be

00:36:43.000 --> 00:36:46.480
really cool. Because we have five sub -watersheds

00:36:46.480 --> 00:36:48.539
here, right? Yeah. So two of them are currently

00:36:48.539 --> 00:36:52.300
streamflow instrumented. So it'd be nice to expand

00:36:52.300 --> 00:36:55.960
that. I can see that. There's another one I can't

00:36:55.960 --> 00:36:59.619
quite remember. There's a tower that Laura has

00:36:59.619 --> 00:37:02.460
talked about. Oh, the Motus Tower? The Motus

00:37:02.460 --> 00:37:04.320
Tower. Yeah, okay, okay. That's part of the Sentinel

00:37:04.320 --> 00:37:06.539
site for nature protocol. But it's kind of like

00:37:06.539 --> 00:37:08.239
if someone else has a Motus Tower close enough

00:37:08.239 --> 00:37:10.280
in your region, you don't really need one. Anyways,

00:37:10.400 --> 00:37:12.880
they put these little, maybe they're pit tags,

00:37:12.980 --> 00:37:14.380
but anyways, they're little tags. And they put

00:37:14.380 --> 00:37:18.440
them on birds and bats and sometimes even bugs,

00:37:18.519 --> 00:37:21.219
believe it or not. And this tower is just a receiver.

00:37:21.260 --> 00:37:24.519
So if that migratory songbird flies by, it doesn't

00:37:24.519 --> 00:37:26.199
have to be a songbird, whatever, it flies by.

00:37:27.760 --> 00:37:29.900
it pings the tower and says hey it's here and

00:37:29.900 --> 00:37:32.099
so you can track the migration of these species

00:37:32.099 --> 00:37:35.699
or the holdover spots or yeah any of that wow

00:37:35.699 --> 00:37:38.380
so that'd be a a different set of instrumentation

00:37:38.380 --> 00:37:40.440
that would help us with those sort of with the

00:37:40.440 --> 00:37:43.019
fauna that are moving through here yes and um

00:37:43.019 --> 00:37:45.380
we are a gap up here like they the nearest one

00:37:45.380 --> 00:37:48.090
is down in the napa sonoma marsh there above

00:37:48.090 --> 00:37:51.250
san pablo bay but this north bay region for whatever

00:37:51.250 --> 00:37:53.309
reason there's a hole right here and so we're

00:37:53.309 --> 00:37:55.650
like hey we can see clear to the horizon east

00:37:55.650 --> 00:37:58.929
west and north perhaps even south like we have

00:37:58.929 --> 00:38:00.929
worked on that for several years and now with

00:38:00.929 --> 00:38:03.510
our participation in developing this new sentinel

00:38:03.510 --> 00:38:05.789
site for nature network i think it might come

00:38:05.789 --> 00:38:07.869
true it's coming closer all right we put it in

00:38:07.869 --> 00:38:10.650
a grant so perhaps so a modus tower for pepperwood

00:38:10.650 --> 00:38:15.389
it could happen With every project, or in Ryan's

00:38:15.389 --> 00:38:18.190
case, the complex collection of many projects

00:38:18.190 --> 00:38:20.170
that makes up the Sentinel site, which is his

00:38:20.170 --> 00:38:23.150
purview, I'm always curious about what supports

00:38:23.150 --> 00:38:26.369
the work. So I asked Ryan, what makes the work

00:38:26.369 --> 00:38:29.449
he does possible? You know, as a nonprofit, we

00:38:29.449 --> 00:38:32.610
have very little overhead. So things, money goes

00:38:32.610 --> 00:38:35.670
towards action more than, you know, everything

00:38:35.670 --> 00:38:39.670
else. And we don't have a lot of red tape up

00:38:39.670 --> 00:38:42.150
here. Like I just talked with... with a university

00:38:42.150 --> 00:38:44.510
yesterday hey we want to put fire on the ground

00:38:44.510 --> 00:38:46.570
how do we do that and they're like they won't

00:38:46.570 --> 00:38:48.809
let us because all the red tape and liability

00:38:48.809 --> 00:38:51.070
and i get it we live in that world where you

00:38:51.070 --> 00:38:55.480
just sue everybody um And so the fact that we

00:38:55.480 --> 00:38:57.980
don't have that here at Pepperwood and we have

00:38:57.980 --> 00:39:00.219
all these people that are honestly so good at

00:39:00.219 --> 00:39:03.119
their jobs, like all our coworkers, Devin's a

00:39:03.119 --> 00:39:05.800
burn boss. Michael knows the landscape so well.

00:39:05.920 --> 00:39:08.139
Laura can communicate with anyone like she's

00:39:08.139 --> 00:39:09.780
known them all her life. And I go, how do you

00:39:09.780 --> 00:39:13.019
know all that? And then I pull off a few tricks

00:39:13.019 --> 00:39:14.840
every now and then and the education staff. Anyways.

00:39:15.820 --> 00:39:17.960
We're like a highly efficient team here at Pepperwood

00:39:17.960 --> 00:39:21.559
where everybody like does so much and their efforts

00:39:21.559 --> 00:39:25.119
make my efforts easier and vice versa, I like

00:39:25.119 --> 00:39:30.440
to think. So the team, the low overhead, the

00:39:30.440 --> 00:39:32.500
lack of red tape makes a lot of things possible.

00:39:32.960 --> 00:39:36.760
And, you know, and just the morale around here,

00:39:36.800 --> 00:39:39.579
like everybody's excited and genuinely interested

00:39:39.579 --> 00:39:43.929
in what we're up to. And I think that carries

00:39:43.929 --> 00:39:46.989
over into even the grant world when we're approaching

00:39:46.989 --> 00:39:50.829
possible grantors. Like, you know, we're on the

00:39:50.829 --> 00:39:54.369
map. Like, people know about Pepperwood. And

00:39:54.369 --> 00:39:56.909
this track record of doing some very cool novel

00:39:56.909 --> 00:39:59.650
things and some cool data sets that, you know,

00:39:59.650 --> 00:40:02.409
aren't happening anywhere else makes it a pretty

00:40:02.409 --> 00:40:05.269
attractive place for funders, I think. And if

00:40:05.269 --> 00:40:07.840
it's funded, then it makes the job easy. So I

00:40:07.840 --> 00:40:12.019
think that is incredibly helpful in making what

00:40:12.019 --> 00:40:14.599
we do successful is that track record in our

00:40:14.599 --> 00:40:16.739
staff. That sounds like a nice positive feedback

00:40:16.739 --> 00:40:18.880
loop that you're describing, which is that the

00:40:18.880 --> 00:40:22.619
more innovative things that we try, the more

00:40:22.619 --> 00:40:25.460
capacity we have to try new innovative things

00:40:25.460 --> 00:40:28.519
that might be beneficial. Yeah. That sounds really

00:40:28.519 --> 00:40:30.800
cool. Well, again, thank you, Ryan, for describing

00:40:30.800 --> 00:40:34.000
your work. I love hearing about it. And I know

00:40:34.000 --> 00:40:36.119
we've only tapped the surface of it. So thanks

00:40:36.119 --> 00:40:38.219
again. And yeah, have a good rest of your day.

00:40:38.360 --> 00:40:41.320
Awesome. Thanks, Jules. Thanks again to Ryan

00:40:41.320 --> 00:40:43.860
Farrell for the work he does at Pepperwood and

00:40:43.860 --> 00:40:46.539
for taking time away from that work to talk to

00:40:46.539 --> 00:40:48.900
us about it. If you'd like to hear more from

00:40:48.900 --> 00:40:51.420
Ryan, I have great news for you. He's coming

00:40:51.420 --> 00:40:54.280
back in our very next episode to discuss hunting

00:40:54.280 --> 00:40:57.440
and how it relates to conservation. So stay tuned

00:40:57.440 --> 00:41:00.400
to hear his perspectives as both a hunter and

00:41:00.400 --> 00:41:04.559
a scientist. But this episode is not done yet.

00:41:04.820 --> 00:41:08.539
It's time for the next installment of The Nature

00:41:08.539 --> 00:41:13.340
Sound Guess Who Game. We play a nature sound

00:41:13.340 --> 00:41:16.440
at the end of each episode. You have the time

00:41:16.440 --> 00:41:19.559
in between episodes to guess which animal, vegetable,

00:41:19.619 --> 00:41:23.099
or mineral made that sound. Please don't hesitate

00:41:23.099 --> 00:41:26.500
to email your guesses to podcast at pepperwoodpreserve

00:41:26.500 --> 00:41:30.239
.org or comment on the corresponding social media

00:41:30.239 --> 00:41:32.619
posts either on Facebook, where we're Pepperwood,

00:41:32.719 --> 00:41:35.460
Instagram, where we are Pepperwood Preserve CA,

00:41:35.699 --> 00:41:38.440
or on Blue Sky, where we are Pepperwood Preserve.

00:41:39.440 --> 00:41:41.980
Alright, first let's listen back to the sound

00:41:41.980 --> 00:41:51.510
from last episode. That sound was made by the

00:41:51.510 --> 00:41:57.710
California quail. That is specifically an alarm

00:41:57.710 --> 00:42:00.829
call from the California quail, California's

00:42:00.829 --> 00:42:04.409
state bird famous for its adorable black forward

00:42:04.409 --> 00:42:07.510
curving plume feather on the crown of its head,

00:42:07.610 --> 00:42:10.389
which is particularly large and pronounced on

00:42:10.389 --> 00:42:14.389
adult males. I intentionally chose a vocalization

00:42:14.389 --> 00:42:17.110
from this species that I was less familiar with.

00:42:17.389 --> 00:42:20.730
Like me, you may be more accustomed to their

00:42:20.730 --> 00:42:24.170
advertisement calls or maybe their rally or assembly

00:42:24.170 --> 00:42:27.610
calls. Let's review all of these calls with some

00:42:27.610 --> 00:42:30.510
help from the Audubon Society Field Guide to

00:42:30.510 --> 00:42:34.280
North American Birds, Western Edition. I love

00:42:34.280 --> 00:42:37.739
hearing how expert birders describe bird vocalizations

00:42:37.739 --> 00:42:40.980
using human language. The alarm call that we

00:42:40.980 --> 00:42:44.239
heard is summarized or mimicked using the word

00:42:44.239 --> 00:42:48.380
pit, pit, or wit, wit. Let's see if we can hear

00:42:48.380 --> 00:42:55.280
that if we listen back to the recording. California

00:42:55.280 --> 00:42:58.099
quail advertisement calls are described using

00:42:58.099 --> 00:43:05.389
the word ca, K -A, and sound like this. Those

00:43:05.389 --> 00:43:08.969
advertisements are extended into rally or assembly

00:43:08.969 --> 00:43:12.429
calls, which are described as either cacao cow,

00:43:12.690 --> 00:43:17.010
with the second note highest, cacao cow, or memorably

00:43:17.010 --> 00:43:20.929
as Chicago, like the city. And that is the sound

00:43:20.929 --> 00:43:22.969
that I am most familiar with from California

00:43:22.969 --> 00:43:34.190
quail. Listen in to that. All of those calls

00:43:34.190 --> 00:43:36.730
were recorded by Jeffrey A. Keller and submitted

00:43:36.730 --> 00:43:39.389
to the Cornell Lab Macaulay Library, who were

00:43:39.389 --> 00:43:42.389
generous enough to share them with us. There's

00:43:42.389 --> 00:43:44.610
another sound that I am accustomed to hearing

00:43:44.610 --> 00:43:47.309
from California quail that is not a vocalization,

00:43:47.469 --> 00:43:50.170
but which gives me a near heart attack many a

00:43:50.170 --> 00:43:52.329
time in the shrub habitats of Pepperwood and

00:43:52.329 --> 00:43:55.019
other Sonoma County open spaces. Have you had

00:43:55.019 --> 00:43:57.840
this experience as well? Often when I am approaching

00:43:57.840 --> 00:44:00.860
a covey or a bevy of quail inhabiting a bush

00:44:00.860 --> 00:44:04.619
or a small tree, probably unknowingly, they explode

00:44:04.619 --> 00:44:07.280
out of hiding into the air and the collective

00:44:07.280 --> 00:44:10.300
sound of their wings beating the air is so loud.

00:44:10.599 --> 00:44:13.820
It's like a helicopter propeller. Honestly, if

00:44:13.820 --> 00:44:16.139
I were a predator on the lookout for a quail

00:44:16.139 --> 00:44:19.280
dinner, the start that that noise gives me would

00:44:19.280 --> 00:44:22.039
be more than enough to slow me down and give

00:44:22.039 --> 00:44:24.619
those quail a moment to get away. So very adaptive

00:44:24.619 --> 00:44:27.659
trait. Thanks again to Cornell Lab Macaulay Library

00:44:27.659 --> 00:44:30.019
for granting us permission to use some of their

00:44:30.019 --> 00:44:33.559
incredible bird call recordings, including, spoiler

00:44:33.559 --> 00:44:36.800
alert, the next Nature Sound Guess Who game prompt

00:44:36.800 --> 00:44:39.320
that you will have until next episode to guess.

00:44:39.820 --> 00:44:42.530
Listen closely. If you recognize this, avian

00:44:42.530 --> 00:44:44.849
neighbor, send us your guess either at podcast

00:44:44.849 --> 00:44:47.710
at pepperwoodpreserve .org or comment on one

00:44:47.710 --> 00:44:50.349
of our social media accounts. You can become

00:44:50.349 --> 00:44:53.190
podcast famous because if you send in the correct

00:44:53.190 --> 00:44:55.730
guess, I will shout you out on our next episode.

00:44:56.409 --> 00:45:00.570
Here comes the clip to guess at in three, two,

00:45:00.929 --> 00:45:07.610
one. Here's the second chance to listen in three,

00:45:07.690 --> 00:45:15.530
two, one. So which bird is that? Submit your

00:45:15.530 --> 00:45:17.969
answers, and maybe you'll hear your name on our

00:45:17.969 --> 00:45:21.409
next episode. Thanks as always to Stephanie Antinoro,

00:45:21.610 --> 00:45:23.650
Pepperwood's Communications Coordinator, for

00:45:23.650 --> 00:45:25.789
her ongoing support of this podcast project,

00:45:25.969 --> 00:45:29.070
and thanks to you for listening. Until our next

00:45:29.070 --> 00:45:31.570
episode, keep your ears tuned into nature.
