Population growth – what is it?
Reproductive potential – is a population’s maximum size, if all of the species found mates and had offspring, and none of the offspring get eaten, die from disease, or run out of resources. This is how big the population would get if it had no limitations. In real life this doesn’t occur – there are always limiting factors.
Changes in predator (wolf) and prey (moose) populations over a 40-year span.
notice how the size of one population affects the size of the other.
Image from Purves et al., Life: The Science of Biology, 4th Edition, by Sinauer Associates and WH Freeman.
Carrying capacity, competition within a population,
Human population growth is not like that of most other animals. For a few thousand years it has shown exponential growth. This growth obviously will not last forever.
“When resources are unlimited, a population can experience exponential growth, where its size increases at a greater and greater rate.
Source: Boundless. “Exponential Growth.” Boundless Biology. Boundless, https://www.boundless.com/biology/textbooks/boundless-biology-textbook/population-and-community-ecology-45/environmental-limits-to-population-growth-251/exponential-growth-929-12185/
Image from http://andyarthur.org/topics/experiences/the-woods/carrying-capacity.html
7.MS-LS2-6(MA). Explain how changes to the biodiversity of an ecosystem—the variety of
species found in the ecosystem—may limit the availability of resources humans use.
7.MS-LS2-2. Describe how relationships among and between organisms in an ecosystem can be competitive, predatory, parasitic, and mutually beneficial and that these interactions are found across multiple ecosystems
7.MS-LS2-3. Develop a model to describe that matter and energy are transferred among living and nonliving parts of an ecosystem and that both matter and energy are conserved through these processes.
• Cycling of matter should include the role of photosynthesis, cellular respiration, and decomposition, as well as transfer among producers, consumers (primary, secondary, and tertiary), and decomposers. Models may include food webs and food chains.
HS-LS2-2. Use mathematical representations to support explanations that biotic and abiotic factors affect biodiversity, including genetic diversity within a population and species diversity within an ecosystem.
• Examples of biotic factors could include relationships among individuals (feeding relationships, symbiosis, competition) and disease.
• Examples of abiotic factors could include climate and weather conditions, natural disasters, and availability of resources.
• Examples of mathematical representations include finding the average, determining trends, and using graphical comparisons of multiple sets of data.
HS-LS2-6. Analyze data to show ecosystems tend to maintain relatively consistent numbers and types of organisms even when small changes in conditions occur but that extreme fluctuations in conditions may result in a new ecosystem. Construct an argument supported by evidence that ecosystems with greater biodiversity tend to have greater resistance to change and resilience.
Clarification: Examples of changes in ecosystem conditions could include modest biological or physical changes, such as moderate hunting or a seasonal flood; and extreme changes, such as volcanic eruption, fires, the decline or loss of a keystone species, climate changes, ocean acidification, or sea level rise
In all environments, organisms with similar needs may compete with one another for limited resources, including food, space, water, air, and shelter. 5D/M1a*
The world contains a wide diversity of physical conditions, which creates a wide variety of environments: freshwater, marine, forest, desert, grassland, mountain, and others. In any particular environment, the growth and survival of organisms depend on the physical conditions. 5D/M1b*