Logistic models and the intrinsic growth rate

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In exponential growth models, the intrinsic growth rate (r) is derived from the difference between birth rates and death rates. In logistic growth models, r is similarly defined, but the model incorporates a carrying capacity (K), which limits growth as population size approaches K. The relationship between birth rates and death rates in this context is crucial, particularly at the point where population P(t) equals K/2, as this is where maximum growth occurs. While r and K are theoretically constant, they can change in practical scenarios. The equation assumes that the rate of change in population (dP/dt) depends solely on the current population size P(t). Clarification is sought on how birth and death rates specifically relate to r at different times within these models.
thelema418
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In models of exponential growth, we have an intrinsic growth rate (r) that is calculated as the difference of birth rates to death rates.

With the logistic growth model, we also have an intrinsic growth rate (r). How then do birth rates and death rates relate to the intrinsic growth rate in the context of this model? Specifically, if you have a model where you have been given values for r and K, does the birth rate and death rate associated with r occur at a particular time? I'm wondering if this specifically relates to P(t) = K/2 since this is where the maximum growth occurs.

Thanks.
 
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The same applies in logistic model too. The growth rate here is determined the same but condition is just the equation is bounded because it is little bit practical in real world. As far as i know r and K are kept constant theoretically but they have to change but in the equation and importantly we assume that dP/dt is dependent on just P(t) which is fair(correct me if i am wrong). I didn't get what u r saying in the last part.cheers
 
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