Environmental Research and Data Collection Methods

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100 Terms

1

Scientific Method

Systematic process for investigation and experimentation.

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2

Observation

Initial step leading to a research question.

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3

Research Question

Inquiry formulated as 'Why?', 'What?', or 'How?'.

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4

Hypothesis

Testable prediction regarding study outcomes.

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5

Theory

Well-supported explanation of natural phenomena.

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6

Variables

Factors that can be manipulated or measured.

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7

Independent Variable (IV)

Factor manipulated in an experiment, graphed on X-axis.

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8

Dependent Variable (DV)

Measured response to the IV, graphed on Y-axis.

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9

Controlled Variables (CVs)

Constants maintained to ensure valid results.

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10

Experimental Group

Group receiving different levels of IV.

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11

Control Group

Group not receiving IV, used for comparison.

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12

Replicates

Minimum of three trials to identify anomalies.

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13

Anomalous Results

Data points that deviate from expected outcomes.

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14

Data Collection

Process of gathering and interpreting experimental data.

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15

Quantitative Data

Numerical data used for statistical analysis.

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16

Qualitative Data

Descriptive data useful for initial observations.

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17

Limitations

Shortcomings affecting reliability of experimental results.

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18

Accuracy

Closeness of measurements to true value.

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19

Precision

Consistency of repeated measurements.

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20

Sample Size

Number of observations, larger sizes increase reliability.

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21

Graphing Rules

Independent variable on X-axis, dependent on Y-axis.

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22

Standardized Variables

Conditions kept constant to ensure fair testing.

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23

Evaluation of Procedures

Assessment of methods and potential improvements.

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24

Scale

Linear intervals used for graph axes.

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25

Bar Graph

Compares amounts with non-touching bars.

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26

Line Graph

Shows change over time with connected points.

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27

Pie Chart

Displays parts of a whole in slices.

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28

Histogram

Bars touch, showing frequency distribution.

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29

Mean

Average value calculated from data set.

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30

Median

Middle value in ordered data set.

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31

Mode

Most frequently occurring value in data.

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32

Range

Difference between highest and lowest values.

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33

Percentage

Part divided by whole, multiplied by 100.

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34

Percent Change

Change relative to original value, times 100.

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35

Data Table

Organized format for collecting experimental data.

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36

Best Fit Line

Line approximating data trend in graphs.

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37

Anomalous Results

Outliers that skew data analysis.

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38

Reliable Data

Consistent and accurate data for research.

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39

Bias

Systematic error favoring one outcome over another.

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40

Paleoclimate Records

Historical climate data from natural sources.

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41

Ice Cores

Frozen layers revealing past atmospheric conditions.

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42

Tree Rings

Growth rings indicating historical climate variations.

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43

Sediment Cores

Layers of sediment providing climate history.

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44

Coral Reefs

Marine structures reflecting historical ocean conditions.

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45

Data Analysis

Interpreting quantitative data for conclusions.

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46

Significant Figures

Digits that carry meaning contributing to precision.

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47

Paleoclimate records

Historical data from ice cores, tree rings, and sediments.

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48

Climate proxies

Indirect measures used to infer past climate conditions.

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49

Instrumental measurements

Direct climate data collected using advanced instruments.

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50

Remote sensing

Technology for monitoring climate from satellites.

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51

Climate models

Simulations to understand climate drivers and changes.

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52

Cherry-picking data

Selective use of data supporting a specific agenda.

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53

Confirmation bias

Interpreting data to confirm existing beliefs.

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54

Industry-funded research

Studies funded by organizations with specific economic interests.

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55

Sensationalism in media

Exaggerated reporting that misrepresents scientific findings.

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56

Random sampling

Selecting sample points randomly to minimize bias.

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57

Systematic sampling

Measurements taken at regular intervals or patterns.

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58

Ice cores

Cylinders of ice drilled from glaciers, revealing climate history.

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59

Tree rings

Annual growth rings used to determine past climate conditions.

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60

Sediment cores

Layers of sediment analyzed for historical climate data.

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61

Coral reefs

Marine structures that provide climate change insights.

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62

Greenhouse gas concentrations

Levels of gases affecting Earth's temperature.

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63

Climate feedback mechanisms

Processes that amplify or dampen climate changes.

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64

Sea ice extent

Measurement of the area covered by sea ice.

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65

Temperature anomalies

Deviations from average temperature over time.

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66

Public misconceptions

Common misunderstandings about climate science.

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67

Data interpretation bias

Distortion of scientific data due to subjective views.

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68

Climate change impacts

Consequences of climate change on ecosystems and societies.

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69

Uncertainty in models

Variability in predictions due to complex climate systems.

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70

Quadrat

Square frame for sampling organisms in an area.

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71

Sampling Area

Designated space for estimating population metrics.

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72

Population Size

Total number of individuals in a defined area.

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73

Abundance

Total count of organisms in a specific area.

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74

Frequency

Probability of finding a species in a quadrat.

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75

Percentage Cover

Proportion of area occupied by a species.

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76

Transects

Straight lines for studying organism distribution.

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77

Line Transect

Count organisms touching a measuring tape.

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78

Belt Transect

Quadrat moved along a transect for data collection.

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79

Sampling Data Analysis

Evaluating data collected from sampling methods.

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80

Mark-Release-Recapture

Estimating population size of mobile organisms.

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81

Lincoln Index

Formula for estimating population density from samples.

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82

N

Estimate of total population size.

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83

n1

Number of individuals in the first sample.

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84

n2

Total individuals in the second sample.

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85

m

Marked individuals recaptured in the second sample.

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86

Pitfall Trap

Container for capturing ground-dwelling insects.

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87

Sweep Net

Net for sampling insects in tall grass.

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88

Beating Tray

Tray for collecting insects from vegetation.

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89

Gradient

Change in environmental factors affecting distribution.

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90

Environmental Factors

Conditions influencing organism distribution patterns.

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91

Sample Size

Number of quadrats or samples collected.

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92

Bias in Estimation

Systematic error affecting data reliability.

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93

Species Richness

Number of different species in a sample.

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94

Kick Sampling

Method for estimating freshwater invertebrate diversity.

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95

Net Placement

Net faces upstream to avoid disturbed sediment.

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96

Weighted Quadrat

Controls sample area size in kick sampling.

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97

Light Traps

Attracts nocturnal insects using light sources.

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98

Phototaxis

Movement of insects towards light sources.

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99

Questionnaires

Predetermined Q&A for crowdsourcing data.

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100

Data Verification

Challenge in confirming accuracy of questionnaire data.

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