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Related Concept Videos

Sampling Plans01:23

Sampling Plans

155
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
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Stratified Sampling Method01:16

Stratified Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
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Cluster Sampling Method01:20

Cluster Sampling Method

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Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
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Systematic Sampling Method01:17

Systematic Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
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What is Biodiversity?01:19

What is Biodiversity?

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Biodiversity describes the variety of living things at multiple organizational levels: genetic, species and ecosystem diversity. Species diversity includes all branches of the evolutionary tree from single-celled prokaryotic organisms, bacteria, and archaea, to the eukaryotic kingdoms: plants; animals; fungi; and protists. To date, there have been about 1.75 million species identified, and new species are discovered every week.
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Convenience Sampling Method00:55

Convenience Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
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Related Experiment Video

Updated: May 7, 2025

Deploying Community Scientists to Conduct Nondestructive Genetic Sampling of Rare Butterfly Populations
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LIFEPLAN: A worldwide biodiversity sampling design.

Bess Hardwick1, Deirdre Kerdraon2, Hanna M K Rogers2

  • 1Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland.

Plos One
|December 31, 2024
PubMed
Summary

The LIFEPLAN project developed five global field sampling methods for biodiversity data collection, integrating sensor technology and automated processing for species identification. These protocols ensure consistent data collection for ecological research worldwide.

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Area of Science:

  • Ecology
  • Biodiversity Science
  • Environmental Monitoring

Background:

  • Rapid advancements in species identification technology necessitate standardized global data collection methods.
  • The LIFEPLAN project addresses the need for systematic biodiversity data acquisition across diverse environments.
  • Existing methods require integration with emerging sensor-based and automated data processing capabilities.

Purpose of the Study:

  • To describe five standardized field sampling methods for global biodiversity data collection within the LIFEPLAN project.
  • To detail protocols for collecting diverse biological and environmental data, including images, audio, and DNA.
  • To establish a baseline for future comparisons and technological advancements in biodiversity monitoring.

Main Methods:

  • Development and implementation of five distinct field sampling techniques.
  • Utilizing infrared camera traps for animal imagery, audio recorders for environmental sounds, Malaise traps for invertebrate DNA, and cyclone samplers for airborne fungal DNA.
  • Systematic selection of international urban and natural sampling sites with a nested scale design in specific regions.

Main Results:

  • Successful deployment of five standardized sampling methods across global locations.
  • Collection of diverse datasets including animal images, environmental audio recordings, and DNA from invertebrates, soil, and air.
  • Emphasis on comprehensive metadata collection to ensure data usability and consistency.

Conclusions:

  • The described LIFEPLAN sampling methods provide a robust framework for global biodiversity assessment.
  • Standardized protocols facilitate consistent data collection, crucial for large-scale ecological studies.
  • The methods are adaptable and serve as a baseline for evaluating future technological improvements in biodiversity monitoring.