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ecology
study of relationships between organisms and their environment
examples of physical environment
temperature, solar radiation
chemical environment
nutrient content of soil, water ph
biological environment
interactions between plants + animals, animals + animals, etc.
relationships
interactions with physical aspects of the environment
interactions with same and other species
→ natural selection is a cornerstone of ecology
ecosystem
where organisms “struggle for existence”
what is an biotic component of an ecosystem?
predation, disease, symbiosis
what is an example of abiotic component?
plants depend on the ph of the soil or how organisms depend on temperature
population
group of individuals of the same species in a given area
what are common interactions in populations
competition for resources
predator-prey
mutually beneficial relationships
community
interactions with other populations
ecosystem
interaction of living and non-living organisms in a given area
landscape
the areas interacting together (ecosystems composed of different communities)
biome
geographic regions with similar geological and climatic conditions
what is the ranking of the ecological hierarchy?
individual > population > community > ecosystem > landscape > biome > biosphere
field study
examining natural patterns across a landscape → results suggest a relationship, but do not prove cause and effect
field experiment
test applied in a natural setting
what is one advantage and disadvantage of a field experiment?
realistic results, but hard to control other influencing factors
what is one advantage and disadvantage of a laboratory experiment?
more control over environmental conditions, but results are not reflective in the field
statistical population
the group you’re collecting data and drawing conclusions on
sample
part of the population that is being observed in a statistical population
categorical data
qualitative → can be nominal (hair color, sex, etc.) or ordinal (life cycles, for instance, because it has to be ordered)
when only 2 data sets exist, it’s called binary
numerical data
quantitative → can be discrete (integer values, counts), or continuous (like height or weight)
frequency distribution
count of the number of observations having a given score or value → for instance, snake body lengths → USUALLY shaped as a bell-curve distribution
scatter plot
relationships between 2 variables (correlation +, -, O) → r2 value is how tight your correlation is between data (the closer it is to 1, the BETTER the line of best fit is)