WEBVTT 00:00:00.579 --> 00:00:02.279 - [Voiceover] What I wanna do in this video 00:00:02.279 --> 00:00:04.265 is think about how different populations 00:00:04.265 --> 00:00:06.298 that share the same ecosystem can interact 00:00:06.298 --> 00:00:08.238 with each other and actually provide 00:00:08.238 --> 00:00:10.124 a feedback loop on each other. 00:00:10.124 --> 00:00:11.529 And there's many cases of this, 00:00:11.529 --> 00:00:13.663 but the most cited general example 00:00:13.663 --> 00:00:15.517 is the case when one population 00:00:15.517 --> 00:00:18.028 wants to eat another population. 00:00:18.028 --> 00:00:21.192 And so you have the predator population 00:00:21.192 --> 00:00:23.987 that likes to eat the prey. 00:00:23.987 --> 00:00:27.770 So you have the predator and prey interactions. 00:00:27.770 --> 00:00:29.513 I'm doing the prey in I guess a somewhat bloody color, 00:00:29.513 --> 00:00:31.758 I guess 'cause, well, they're going to be eaten. 00:00:31.758 --> 00:00:33.610 So let's just think about how these 00:00:33.610 --> 00:00:35.267 populations could interact. 00:00:35.267 --> 00:00:37.615 Let me draw a little chart here that you're probably 00:00:37.615 --> 00:00:39.328 familiar with by now where we show 00:00:39.328 --> 00:00:42.336 how a population can change over time. 00:00:42.336 --> 00:00:44.938 So the time, the horizontal axis is time. 00:00:44.938 --> 00:00:47.605 The vertical axis is population. 00:00:49.345 --> 00:00:50.262 Population. 00:00:51.549 --> 00:00:53.598 And so let's just, in our starting point, 00:00:53.598 --> 00:00:56.848 let's say that our prey is starting out 00:00:58.262 --> 00:01:00.405 at a relatively high point. 00:01:00.405 --> 00:01:02.174 Let's say we're right there in time, 00:01:02.174 --> 00:01:03.958 and let's say for whatever reason, 00:01:03.958 --> 00:01:07.476 our predator population is relatively low. 00:01:07.476 --> 00:01:09.817 So what do we think is going to happen here? 00:01:09.817 --> 00:01:12.689 Well, at this point, with a low density of predators, 00:01:12.689 --> 00:01:15.254 it's gonna be much easier for them for find a meal, 00:01:15.254 --> 00:01:18.011 and it's gonna be much easier for the prey to get caught. 00:01:18.011 --> 00:01:20.753 So since it's more easy, it's easier for the predators 00:01:20.753 --> 00:01:23.071 to find a meal, you can imagine their population 00:01:23.071 --> 00:01:25.603 starting to increase. 00:01:25.603 --> 00:01:26.747 But what's going to happen is 00:01:26.747 --> 00:01:28.204 their population is increasing. 00:01:28.204 --> 00:01:30.205 Well, it's gonna be more likely that they're gonna, 00:01:30.205 --> 00:01:32.308 they prey is gonna get caught. 00:01:32.308 --> 00:01:34.163 There's gonna be more of their hunters around, 00:01:34.163 --> 00:01:35.351 more of their predators around. 00:01:35.351 --> 00:01:39.046 So that population is going to start decreasing 00:01:39.046 --> 00:01:42.399 all the way to a point where if the population 00:01:42.399 --> 00:01:44.211 of the prey gets low enough, the predators 00:01:44.211 --> 00:01:45.921 are gonna have, they're gonna start having 00:01:45.921 --> 00:01:49.363 trouble finding food again, and so that their population 00:01:49.363 --> 00:01:51.985 might start to decrease, and as their population 00:01:51.985 --> 00:01:53.971 decreases, what's gonna happen to the prey? 00:01:53.971 --> 00:01:56.467 Well, then, there's gonna be less predators around, 00:01:56.467 --> 00:01:59.161 so they might be able to, their population 00:01:59.161 --> 00:02:00.798 might start to increase. 00:02:00.798 --> 00:02:02.717 And so I think you see what's happening. 00:02:02.717 --> 00:02:05.962 The predator and prey, they can kind of form 00:02:05.962 --> 00:02:08.529 this cyclic interaction with each other. 00:02:08.529 --> 00:02:10.009 And what I've just drawn, this is often known 00:02:10.009 --> 00:02:12.260 as the predator-prey cycle. 00:02:13.562 --> 00:02:16.098 And I just reasoned through that you can imagine 00:02:16.098 --> 00:02:17.591 a world where you can have the cycle between 00:02:17.591 --> 00:02:19.694 predator and prey populations. 00:02:19.694 --> 00:02:22.231 But you can also run computer simulations 00:02:22.231 --> 00:02:24.627 that will show this, and even observational 00:02:24.627 --> 00:02:27.188 data out in the field also shows this. 00:02:27.188 --> 00:02:29.771 One of the often cited examples 00:02:30.946 --> 00:02:35.113 is interactions between, between the snowshoe hare, 00:02:37.671 --> 00:02:41.093 which would be the prey in this situation, 00:02:41.093 --> 00:02:45.565 and the Canadian lynx, which would be the predator, 00:02:45.565 --> 00:02:48.148 the predator in this situation. 00:02:49.620 --> 00:02:52.837 And you see a very similar cycle to what I just drew, 00:02:52.837 --> 00:02:54.264 kind of just reasoning through it, 00:02:54.264 --> 00:02:56.499 and this, right here, is actual data. 00:02:56.499 --> 00:02:58.759 You see the passage of time here, 00:02:58.759 --> 00:03:00.553 and this is a long passage of time. 00:03:00.553 --> 00:03:02.298 We're starting in the early 1800's 00:03:02.298 --> 00:03:06.549 going all the way to the early-mid 1900's. 00:03:06.549 --> 00:03:08.720 So it's roughly 100 years of data that we're showing, 00:03:08.720 --> 00:03:11.157 and in the vertical axis, you have thousands of animals 00:03:11.157 --> 00:03:13.127 and we're plotting both the population 00:03:13.127 --> 00:03:16.679 of snowshoe hares and Canadian lynx 00:03:16.679 --> 00:03:19.253 in a certain area on this chart. 00:03:19.253 --> 00:03:22.586 And as you see, when the prey population 00:03:23.604 --> 00:03:26.437 is high, when the prey population, 00:03:27.503 --> 00:03:29.754 sorry, when the predator population is high, 00:03:29.754 --> 00:03:32.337 when we have a lot of the Canadian lynx around, 00:03:32.337 --> 00:03:35.587 that we see a lower, a lower population 00:03:37.705 --> 00:03:40.596 of the prey, of the hare. 00:03:40.596 --> 00:03:44.085 But then as, since you have a low population 00:03:44.085 --> 00:03:46.476 of the food in this situation, 00:03:46.476 --> 00:03:49.682 the predator population starts to decrease. 00:03:49.682 --> 00:03:51.148 So let me draw an arrow here. 00:03:51.148 --> 00:03:53.625 The predator population starts to decrease 00:03:53.625 --> 00:03:56.493 and, let me do that same blue color. 00:03:56.493 --> 00:03:59.538 And so the predator population decreases, 00:03:59.538 --> 00:04:01.816 and as that predator population decreases, 00:04:01.816 --> 00:04:04.540 well then the prey population increases 00:04:04.540 --> 00:04:08.327 'cause there's less folks around to hunt them. 00:04:08.327 --> 00:04:10.520 So the prey population increases, 00:04:10.520 --> 00:04:12.144 and you see that the other way around. 00:04:12.144 --> 00:04:15.170 When the prey population is really is, well maybe 00:04:15.170 --> 00:04:16.952 we'll show it right over here, and this is real data. 00:04:16.952 --> 00:04:18.870 That's why it's not always super clean. 00:04:18.870 --> 00:04:22.901 But when the prey population is really, really high 00:04:22.901 --> 00:04:26.831 and the predator population is relatively low, 00:04:26.831 --> 00:04:29.412 well, then, the predators say, "Hey, it's really 00:04:29.412 --> 00:04:31.559 "easy for us to find meals right now." 00:04:31.559 --> 00:04:33.166 That's kind of that starting point in that, 00:04:33.166 --> 00:04:34.879 when I was just reasoning through it. 00:04:34.879 --> 00:04:37.430 And so their population starts to. 00:04:37.430 --> 00:04:38.545 Oh, oops, what did I do? 00:04:38.545 --> 00:04:39.628 There, there. 00:04:40.947 --> 00:04:42.268 Let me make sure. 00:04:42.268 --> 00:04:45.363 So their population starts to increase, 00:04:45.363 --> 00:04:48.044 and as the predator population increases, 00:04:48.044 --> 00:04:51.760 well the prey population, the prey population 00:04:51.760 --> 00:04:53.510 is going to decrease. 00:04:54.465 --> 00:04:57.673 So this is real data showing the snowshoe hare, 00:04:57.673 --> 00:05:00.585 the prey, and the Canadian lynx, the predator, 00:05:00.585 --> 00:05:03.309 on over many, many decades to show 00:05:03.309 --> 00:05:05.392 this predator-prey cycle.