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Q3.16. When a population is growing logistically, at what stage is the change in population size (N) over the change in time (r) i.e dNiddt, the greatest? When N is very small When N is just a little smaller than K when N is half the size of K. submit. Q3.18 Recall the graph of the sheep population size over time for Tasmania, displayed to the right. Assuming the data can be modeled using the logistic growth equation, what is the approximate carrying capacity fot this population? 2,500,000 sheep 1,800,000 sheep, 1,300,000 sheep, there is not enough information to answer

Sagot :

  1. If a population is growing logistically, then the stage at which change in population size overtime is greatest when N is very small.
  2. Approximate carrying capacity for this population is 1,800,000 sheep because as per the graph the maximum population

What is the logistic growth?

Logistic growth occurs when the population's per capita growth rate decreases as its size approaches the maximum imposed by a limited resource, carrying capacity (K). Logistics comes from the Greek logikos (calculation). In the 17th century, logarithm and logistic were synonymous. Logistics is also used to move and resupply troops, as calculations are needed to predict what supplies an army will need.

The logistic equation is a simple differential equation model that can be used to relate changes in population dP/dt to current population P given a growth rate r and carrying capacity K.

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