L7 Carrying Capacity and Logistic Growth Flashcards
Model
- small system that represents larger system
- used to predict response of larger system to perturbation
System
- specified group of processes with clearly defined boundaries
Population
- group of organisms of same species in a specific area
Habitat
- physical, geographic place where organisms live
- organism specific
Accumulation equation
dN/dt = Nin - Nout + (bN - dN)
Accumulation(dN/dt): numbers of organisms added/removed to syster over time (organisms/time)
Birth rate(bN): organisms produced per unit time (organisms/time)
Instantaneous specific birth rate (b): organisms produced per organism per unit time (organisms/organism/time OR time^(-1))
Death rate (dN): organisms that die per unit time (organisms/time)
Specific death rate (d): organisms that die per organism per unit time (organisms/organism/time OR time^(-1))
Net specific growth rate (r = b - d): orgnaisms produced or that died per organism per unit time (organisms/organism/time OR time^(-1))
Exponential Growth Model
Assumptions:
1. migration in/out ignored
2. no predation (all death from old age)
3. unlimited resources
4. no toxic accumulation of wastes
5. ideal environmental charactersitics/ no inhibitors
6. no competition
EQUATION SIMPLIFIES TO:
Nt = No e^(rt)
Resource-limited Growth
- death rate (dN) increases
- birth rate (bN) decreases
- net specific growth rate (r =b-d) goes to zero
- steady state eventually achieved (dN/dt = rN = 0)
Carrying Capacity
- when growth is limited only by resource availability point ay which dN/dt = 0 is K (carrying capacity of habitat for given species)
- K is integer (like N) number of organisms (round up or down)
Assumptions of Logistic Growth Model
- no migration in/out
- no predation
- limited but replaceable resources
- carrying capacity is constant
Logistic Growth Model Equation
- b, d, r are functions of resource availability
- dN/dt is function of carrying capacity
Nt = (K No e^rt) / (K - No + No e^rt)