chapter 1 and 2 ecology Flashcards

1
Q

the study of the interactions that determine the abundance and distributions of organims

A

ecology

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2
Q

a group of interacting organisms and their physical envioronment

A

ecosystem

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3
Q

the current geological epoch that is characterized by the large and influential effects humans have on the planet

A

Anthropocence

anthropo- human
cene- recent

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4
Q

since the 1950s (beginning of the anthropocene) what did we see increases in?

A
  1. population
  2. real GDP (total monetary value of goods and services)
  3. primary energy use
  4. carbon dioxide
  5. methane
  6. nitrogen to coastal zone
  7. surface temperature
  8. tropical forest loss
  9. ocean acidification
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5
Q

the sudden, intense increase across a range of planetary metrics due to human influence (starting in the 1950s)

A

the great acceleration

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6
Q

an impact on earth’s ecology that is caused by human actions

A

anthropogenic effects

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7
Q

what are the 4 approaches for doing ecological science?

A
  1. observation and natural history
  2. experimental ecology and null hypothesis testing
  3. multiple hypothesis testing with best fit comparisons
  4. ecological modelling
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8
Q

the first ecologists were called

A

naturalists (a person who studies natural organisms in a deep context)

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9
Q

“just so stories” a narrative that explains an observed pattern without proof and is believed correct because it sounds right

A

ad hoc fallacies

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10
Q

key aspects are also called

A

focal factors

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11
Q

manipualted aspects are called

A

treatments

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12
Q

nonfocal elements

A

extraneous factors

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13
Q

a statement proposing that the focal explanatory factors DO NOT have an effect

A

null hypothesis

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14
Q

a statement proposing that the focal explanatory facotrs DO have an effect

A

alternative hypothesis

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15
Q

a conceptual model that is translated into the language of mathematics

A

mathematical model

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16
Q

a theoretical construct that specifies how various components of a system fit in relation to each other

A

conceptual model

17
Q

a model that can be solved mathematically or for which the relationships among the variables can be interpreted through math

A

analytical models

18
Q

a model that is solves or run on a computer multiple times to explore outcomes with different parameters

A

simulation model

can be conceptual or mathematical

19
Q

carefully watching nature and natural phenomena and constructing narrative explanations

A

observation and natural history

20
Q

hypothesis testing through the use of manipulative experiments

A

experimental ecology and null hypothesis testing

  • used to study smaller organisms under shorter timescales
21
Q

results and conclusions are based on the strength of evidence supporting one or more of the competing hypotehses

A

multiple hypothesis testing with best fit comparisons

  • used in the context of large scale studies in which multiple causative factors are at play
22
Q

the application of math or mathematical thinking to measured or counted information in order to gain a deeper understanding of a topic

A

quantitative reasoning

  • usually involves numbers, measuring etc (quantity not quality)
23
Q

ability to collect, analyze, make sense of, and communicate the meaning of quantitative and qualitative data

A

data literacy

24
Q

a changeable value within an equation

A

variable (generally uppercase letters)

25
Q

an element in a mathematical model that will not change across iterations of a model

A

parameters (generally lowercase letters)

26
Q

a mathematical model that will always produce the same result if the starting conditions are the same

A

deterministic model

27
Q

a type of model that lets the parameter values to change between iterations, therby allowing the results to vary

A

stochastic models

28
Q

a data type associated with no inherent numerical value and that is defined by names (ex. blue, yellow,etc)

A

nominal categorical variables

29
Q

a data type that is not characterized by a numerical value but it has a natural order (ex. small, medium, large)

A

ordinal categorical variables

30
Q

A data type whose possible values are numbers that can take on any value, including fractions and decimals (e.g., acorn length).

A

continuous numerical variable

31
Q

a data type whose possible values are numbers but which can only occur on whole numbers, not fractions or decimals

A

discrete numerical variables

32
Q

A statistical term describing the probability of collecting observed data if the null hypothesis is true; in practice this often means the probability of getting the statistical results of an experiment by random chance.

A

p-value