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What is the best function to model population growth?
The best function to model population growth is the exponential growth model, which is commonly represented by the equation P(t) = P0 * e^(rt), where P(t) is the population at time t, P0 is the initial population, e is the base of the natural logarithm, r is the growth rate, and t is time. This model assumes that the population grows without any limiting factors.
Do growth rate curves represent the growth rate of a population?
A growth curve is a model of how a quantity will vary with time. These graphs are widely used in science to illustrate the dynamics of quantities such as population size. Thus the answer is "Yes".
What plots the number of organisms in a growing population over time?
A logistic growth curve plots the number of organisms in a growing population over time. Initially, the curve shows exponential growth until reaching the carrying capacity, where population growth levels off due to limited resources. This curve is commonly used in ecology to model population dynamics.
What is the formula would enable you to find out future population size as it's limited by population regulation?
The logistic growth equation is commonly used to model populations limited by regulation. It is given as: ( \frac{dN}{dt} = rN\left(1-\frac{N}{K}\right) ), where (N) is the population size, (r) is the growth rate, and (K) is the carrying capacity. This equation accounts for both exponential growth (when (N) is much smaller than (K)) and slower growth as the population approaches its limit.
Logarithmic growth formula?
Logarithmic growth is inverse of exponential growth... r = growth rate P = initial population value Y = result t = time Formula: Y = P * log r(t) While exponential growth is as follows: Y = P * (1 + r) ^ t Y = P * EXP(1) ^ t (if growth "r" is contigous over time "t") also linear growth formula is: Y = P * r * t finaly here is polynomial growth: Y = P * t ^ r ~codekiddy.
What is a population in which exponential growth is limited by a density dependent factor?
the answer must be exponential growth model.
How does logistic model of population growth differ from exponential model?
follow the society of light
In the exponential model of population growth the growth rate?
In the exponential model of population growth, the growth rate remains constant over time. This means that the population increases by a fixed percentage during each time interval, leading to accelerating growth over time.
Compare the exponential model and the logistic model of population growth. (?
An exponential model has a j-shaped growth rate that increases dramatically over a period of time with unlimited resources. A logistic model of population growth has a s-shaped curve with limited resources leading to a slow growth rate.
Compare the exponential model and the logistic model of population growth.?
An exponential model has a j-shaped growth rate that increases dramatically over a period of time with unlimited resources. A logistic model of population growth has a s-shaped curve with limited resources leading to a slow growth rate.
Who invented exponentail growth and exponential decay?
Reverend Thomas Malthus developed the concept of Exponential Growth (another name for this is Malthusian growth model.) However the mathematical Exponent function was already know, but not applied to population growth and growth constraints. Exponential Decay is a natural extension of Exponential Growth
What are three things exponential growth and exponential decay have in common?
both have steep slopes both have exponents in their equation both can model population
What is the validity of projections of an arithmetic graph of an exponential growth?
The validity of the projection depends on the validity of the model. If the model is valid over the domain in question then the projection is valid within that domain. If the model is not then the projection is not. And that applies to all kinds of graphs - not just exponential.
Explain exponential growth and logistic growth?
Exponential growth is when a population grows faster and faster and there is a population in explosion. This is unsustainable. The population will deplete and many will die. In Logistical growth the number of organisms are pretty much remained at a constant number of individuals.
Describe the factors that contribute to exponential and logistic population growth.?
Factors that contribute to a logistic model are limited resources which lead to a slower growth rate
How are exponential growth patterns similar to and different from linear growth patterns?
They are similar because the population increases over time in both cases, and also because you are using a mathematical model for a real-world process. They are different because exponential growth can get dramatically big and bigger after a fairly short time. Linear growth keeps going up the same amount each time. Exponential growth goes up by more each time, depending on what the amount (population) is at that time. Linear growth can start off bigger than exponential growth, but exponential growth will always win out.
What is the best function to model population growth?
The best function to model population growth is the exponential growth model, which is commonly represented by the equation P(t) = P0 * e^(rt), where P(t) is the population at time t, P0 is the initial population, e is the base of the natural logarithm, r is the growth rate, and t is time. This model assumes that the population grows without any limiting factors.
