Ecology Exam 2 Equations

0.0(0)
Studied by 6 people
call kaiCall Kai
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
GameKnowt Play
Card Sorting

1/9

encourage image

There's no tags or description

Looks like no tags are added yet.

Last updated 3:00 PM on 10/15/26
Name
Mastery
Learn
Test
Matching
Spaced
Call with Kai
Chat

No analytics yet

Send a link to your students to track their progress

10 Terms

1
New cards

N = nM / m

Mark-Recapture

N = whole population

M = individuals captured and marked the first time

n = total individuals in second capture

m = individuals that were marked from the second recapture

2
New cards

Nt+1 = Nt𝛌

Discrete-time population growth model

N = population abundance

𝛌 = 1+b-d

b = per capita birth rate

d = per capita death rate

3
New cards

Nt = N0𝛌t

Geometric population growth model (still discrete)

N0 = original population size

Also 𝛌 = (Nt/N0)1/t

4
New cards

Nt = N0ert

Continuous time population growth model

r = instantaneous per capita rate of population growth (binstantaneous - dinstantaneous)

N0 = original population size

t = time

e = mathematical placeholder, can be subbed as π

5
New cards

dN/dt = Nrmax (K-N / K)

Continuous-time logistic growth model (density dependent)

K = carrying capacity

N = population abundance

rmax = intrinsic rate of increase (maximum per capita growth)

dN/dt = rate of change of population over time

(K-N/K) = fraction of carrying capacity remaining at population size N

6
New cards

Nt+1 = Nt + Ntrdis (K-Nt / K)

Discrete-time density-dependent logistic growth model

rdis = maximum per capita rate of population change

Nt+1 = population density at the next time step

Nt = current population density

K = carrying capacity

7
New cards

dN1/dt = r1N1 (K1-N1-𝜶N2 / K1)

and

dN2/dt = r2N2 (K2-N2-𝜷N1 / K2)

Lotka-volterra models for competition

𝜶N2 and 𝜷N1 are competition coefficients that link the two species (conversion factor)

r = maximum per capita growth rate for each population

N = population density for each population

K = carrying capacity

8
New cards

dNp/dt = rNp - fNpNe

Lotka-Volterra prey equation

Np = prey population density

Ne = exploiter population density

r = intrinsic rate of increase in prey population

f = capture rate (success and eating mode)

9
New cards

dNe/dt = cfNpNe - dNe

Lotka-volterra exploiter equation

Np = prey population density

Ne = exploiter population density

d = per capita death rate of exploiter

f = capture rate

c = exploiter conversion factor (consumed food to expected offspring)

10
New cards

dNp/dt = rmaxNp (K-Np / K) - fNpNe

Lotka-volterra prey equation with density dependence

(K-Np / K) is added to the prey equation

Np = prey population density

Ne = exploiter population density

r = intrinsic rate of increase in prey population

f = capture rate (success and eating mode)

K = prey carrying capacity