Overarching questions in Consumer–resource dynamics
Resource dynamics (\(R\)):
\[\frac{dR}{dt} = \text{exponential growth - loss to consumer}\]
Consumer dynamics (\(C\):
\[\frac{dC}{dt} = \text{growth from consumption - energy loss}\]
\[\frac{dR}{dt} = rR - aRC\]
\[\frac{dC}{dt} = eaRC - mC\]
Recall the original motivation for this model
Without any additional complexity, this model can provide an explanation for changes in proportion of prey:predator caught and sold at fish markets
Let’s think about the “equilibrium” in this model
Is this system at equilibrium?
Do the population dynamics always reach the same cycles?
Let’s perturb the system by slightly reducing \(R\)
The populations always cycle, but the amplitude of the cycle depends on the initial size of the populations
“Neutral oscillations” - a different type of equilibrium
Amplitude of cycles change, but average remains the same!
The oscillations happen around a central equilibrium point
Equilibrium happens whenever \(\frac{dN}{dt} = 0\).
Stability of an equilibrium reflects what happens if a system is “pushed”
Stable equilibrum: System comes back to the original point
Unstable equilibrium: System keeps moving away from the original point, in the direction of the “push”
Neutral equilibrium: Once pushed, the system doesn’t return to the origina point, but doesn’t keep “moving away”
Challenge question: What is the equilibrium condition for this model?
\[\frac{dR}{dt} = rR - aRC\]
\[\frac{dC}{dt} = eaRC - mC\]
Challenge: Draw the Zero Net-Growth Isoclines for the predator–prey model.
Dicrostonyx torquatus - Northern collared lemming
Mustela erminea - Stoat/“ermine”
Recall the canonical model for consumer–resource dynamics:
\[\frac{dR}{dt} = rR - aRC\]
\[\frac{dC}{dt} = eaRC - mC\]
How do we find the equilibrium conditions of this model?
Resource equilibrium (\(\frac{dR}{dt} = 0\)) happens at \(C = \frac{r}{a}\)
Consumer equilibrium (\(\frac{dC}{dt} = 0\)) happens at \(R = \frac{m}{ea}\)
Let’s start by considering a tri-trophic interaction network.
“Enemy of my enemy is my friend”
Origins of this idea
But, trophic networks can get further complicated
Let’s draw a schematic of this trophic network
Source: Status and Ecological Effects of the World’s Largest Carnivores, Ripple et al. 2014
Source: Trophic rewilding can expand natural climate solutions, Schmitz et al. 2023
Population ecology
How do populations grow and shrink?
A simple model with no population structured; constant reproduction rate and death rate
Expand to structured populations (not all individuals have the same rates of reproduction/mortality)
What if birth/reproduction rates respond to population size?
Assumes closed populations - no migration
Introduced the concept of equilibrium and stability
Community ecology
Reductionism as an approach to study ecological communities
Often times, we see lots of “similar” species coexisting
Multiple herbacious plant species; multiple trees; multiple seed-eating birds, multiple predatory birds, etc.
Key question: What determines diversity of coexisting species that compete for shared resources?
Key question: What determines diversity of coexisting species that compete for shared resources?
Reductionist approach: start with one consumer and one resource
Analysis: Again, through isocline analysis
Insight: population cycling is likely – thus, oscillating equilibrium
Complexity of trophic networks can generate unexpected causal links
Unexpected causal links
What escapes the eye, however, is a much more insidious kind of extinction: the extinction of ecological interactions
Patterns of diversity across space
Ecosystems ecology
Ecology and human societies