Unique type of organisms or an individual organism that can interbreed with its own kind
Population
Group of the same species that live in a particular area at a particular time
Population size
Number of organisms in a population
Population density
Amount or number of individuals in a population per unit area or volume
Patterns of population dispersion
Clumped
Uniform
Random
Clumped dispersion
Individuals are clustered in groups, reflecting a patchy distribution of resources
Uniform dispersion
Individuals are evenly spaced over the area they occupy, reflecting territoriality and intense competition
Random dispersion
Individuals have unpredictable spacing, reflecting a lack of strong interactions
Quadrat method
1. Identify population size within quadrat boundaries
2. Measure size (area) of quadrat
3. Calculate population density
Mark-recapture method
1. Take sample from population
2. Mark individuals in sample
3. Release marked individuals back into population
4. Take new sample and identify marked individuals
5. Calculate population size
Population density formula: D = N/A
Population size formula using mark-recapture: N = (M*n)/m
It is important to note that the term "species" always ends with an "s" even if you are referring to only one organism
A species with a very large population is more likely to be at risk of extinction
At the end of this module, you should be able to:
Explain typical patterns of change in population size (e.g., Exponential vs. Logistic growth; Boom-and-Bust curve)
Discuss the concept of carrying capacity and its relation to logistic population growth
Graph and interpret logistic and exponential growth of a population
Use simulations to understand logistic growth and estimate population size
The population of humans as of the end of 2020 was 7,794,798,739
The environment has its carrying capacity that will determine the maximum number of the individuals in the population that can be comfortably supported. The population is being affected by several limiting factors such as competition, predation, diseases and natural calamities and therefore, no known species have increased its population indefinitely.
Depending on the reproductive capacity of the species and the limiting factors in the environment, different populations may be following one of the following patterns: the exponential growth pattern (also called the J- curve), the logistic growth pattern (also called the S- curve) and the boom-and-bust pattern.
Exponential growth
If one (1) bacterium, that can divide by binary fission in 20 minutes, is placed in a petri dish full of nutrients, it will reach one million in less than 7 hours. If the nutrients in the petri dish are replenished, then, the bacterial population will continuously grow.
The number of individuals added to the human population is doubling through the years, taking a J-shape pattern in the graph and the carrying capacity has not been fully reached yet.
Logistic growth
Since resources such as food, spaces and shelter are not in infinite supply, therefore the population has to fluctuate depending on the availability of these materials. The graph shows an S shape pattern which starts at an increasing rate from time 0-2. However, from time 2-3, the increase slowed down, and started to be tapered off at time 3. The carrying capacity (the maximum population size that a particular environment can sustain) has been reached when the population reached 100 percent at time 3.
If the population has been stable and established in its environment, there might be fluctuations in the number from time to time but the average is maintained through the years.
Boom-and-bust curve
Some insect populations, such as the mosquitoes, rapidly increase during summer. However, it also rapidly decreases, falling way below the carrying capacity and leaving few surviving individuals, during the wintertime.
Exponential growth can only exist if there are infinite natural resources available which is quite impossible since the environment has limitations in relation to the population that it can support.
In exponential growth, the population rate is accelerating, that is increasing at a greater and greater rate. When population size is plotted over time, a J-shaped growth curve is produced.
With the abundance of the limiting resources, the carrying capacity varies over place and time. Factors like refuge from predators, shelter, availability of nutrients, energy, suitable nesting, water, and energy can all be limiting factors.
Populations exhibit logistic growth when resources are limited, when resources become scarce, population expansion decreases. It levels off when the carrying capacity of the environment is reached. This results in an S-shaped curve.
In the boom and bust curve, the population rapidly increases, but due to limiting factors, it rapidly decreases.
At the end of this module, you should be able to: Differentiate between density-dependent and density-independent factors that limit population growth, and give examples of each
As of mid-2017, the world population reached 7.6 billion
Over the last twelve years, approximately 1 billion inhabitants were added to the world population
Yearly, the world population is growing by 1.10 percent, or approximately 83 million people
By 2030, the global population is expected to reach 8.6 billion. In 2050, the global population is expected to reach 9.8 billion and 11.2 billion in 2100
The world's population is 49.6% female and 50.4% male
Carrying capacity
Maximum size of the population that can be supported by the resources found in the environment
Density-dependent limiting factors
Factors that affect the population growth rate differently depending on the density of the population
Density-dependent limiting factors
As the population increases, some of these limiting factors make the population growth rate to decrease
This is an example of negative feedback that limits population growth
Density-dependent limiting factors
Competition within the population
Predation
Disease and parasites
Waste accumulation
Density-independent limiting factors
Factors that affect the growth rate but are independent of the density of the population