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Related Concept Videos

Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
Correlations02:20

Correlations

Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
Observational Studies01:11

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
SBAR II: Application of SBAR01:14

SBAR II: Application of SBAR

SBAR is an effective communication tool used by healthcare professionals to communicate patient information accurately. SBAR stands for Situation, Background, Assessment, and Recommendation. For a better understanding, an example is given below.
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...
Correlation of Experimental Data01:23

Correlation of Experimental Data

Dimensional analysis simplifies complex physical problems and guides experimental investigations, but it does not provide complete solutions. It identifies the dimensionless groups that influence a phenomenon, but experimental data is needed to establish the specific relationships and validate theoretical predictions.
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity, and...
Correlation01:09

Correlation

In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:

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Related Experiment Video

Updated: Jun 15, 2026

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

A meta-analytic review of corridor effectiveness.

Lynne Gilbert-Norton1, Ryan Wilson, John R Stevens

  • 1Department of Wildland Resources, Utah State University, Logan, UT 84322-5230, USA.

Conservation Biology : the Journal of the Society for Conservation Biology
|February 27, 2010
PubMed
Summary
This summary is machine-generated.

Wildlife corridors significantly boost species movement between habitat fragments by about 50%. This meta-analysis confirms their effectiveness for conservation, especially for invertebrates, non-avian vertebrates, and plants.

Related Experiment Videos

Last Updated: Jun 15, 2026

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

Area of Science:

  • Ecology
  • Conservation Biology
  • Landscape Ecology

Background:

  • Habitat fragmentation is a major threat to biodiversity.
  • The efficacy of wildlife corridors in facilitating species movement is debated.
  • Existing research on corridor effectiveness yields mixed results.

Purpose of the Study:

  • To determine if wildlife corridors increase species movement between habitat fragments.
  • To assess how corridor effectiveness varies across different taxa (e.g., plants, invertebrates, vertebrates, birds).
  • To evaluate the impact of experimental design, including recent methodological advances and the distinction between natural and manipulated corridors, on findings.

Main Methods:

  • A meta-analysis of 78 experiments from 35 studies was conducted.
  • A hierarchical Bayesian model was employed to account for data dependencies.
  • Studies were analyzed to compare movement in connected versus unconnected habitat patches.

Main Results:

  • Corridors significantly increased species movement between habitat patches by approximately 50%.
  • Corridor effectiveness was higher for invertebrates, non-avian vertebrates, and plants compared to birds.
  • Natural corridors facilitated more movement than manipulated corridors, especially when controlling for distance.

Conclusions:

  • Wildlife corridors are effective tools for enhancing species movement in fragmented landscapes.
  • Conservation efforts focused on maintaining and creating corridors are valuable and supported by empirical evidence.
  • Understanding the influence of taxa and experimental design is crucial for optimizing corridor function.