Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

What are Populations and Communities?00:30

What are Populations and Communities?

30.9K
Overview
30.9K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

359
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
359
Conservation of Small Populations02:04

Conservation of Small Populations

14.3K
Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...
14.3K
Habitat Fragmentation02:31

Habitat Fragmentation

15.7K
Habitat fragmentation describes the division of a more extensive, continuous habitat into smaller, discontinuous areas. Human activities such as land conversion, as well as slower geological processes leading to changes in the physical environment, are the two leading causes of habitat fragmentation. The fragmentation process typically follows the same steps: perforation, dissection, fragmentation, shrinkage, and attrition.
15.7K
Conservation of Declining Populations02:07

Conservation of Declining Populations

11.5K
Conservation of declining population focuses on ways of detecting, diagnosing, and halting a population decline. The approach uses methods to prevent populations from going extinct.
11.5K
Censoring Survival Data01:09

Censoring Survival Data

688
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
688

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Non-circular home ranges and the estimation of population density.

Ecology·2019
Same author

Convulsions Treated by the Inhalation of Chloroform.

British medical journal·2010
Same author

Spatially explicit maximum likelihood methods for capture-recapture studies.

Biometrics·2007
Same author

Single-nucleotide polymorphism-based differentiation and drug resistance detection in Mycobacterium tuberculosis from isolates or directly from sputum.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases·2005
Same author

The value of flumazenil in the reversal of midazolam-induced sedation for upper gastrointestinal endoscopy.

Alimentary pharmacology & therapeutics·1990
Same author

Inflammatory bowel disease.

The Practitioner·1984
Same journal

Combining individual and close-kin mark-recapture to design an effective wildlife population survey.

Ecology·2026
Same journal

Cross-stressor resilience of soil microbial growth and carbon metabolism under climate change.

Ecology·2026
Same journal

Oh deer! Videography reveals a range of defensive behaviors against a cervid by a ground-nesting bird.

Ecology·2026
Same journal

Microbial responses to stress do not promote plant tolerance to same or different stressors.

Ecology·2026
Same journal

A 2100-km jaguar journey redefines mobility and large-scale conservation priorities during large carnivore dispersal.

Ecology·2026
Same journal

Linking genome size variation to phenotypic selection on target traits.

Ecology·2026
See all related articles

Related Experiment Video

Updated: Apr 27, 2026

Quantifying Corticolous Arthropods Using Sticky Traps
05:28

Quantifying Corticolous Arthropods Using Sticky Traps

Published on: January 19, 2020

4.9K

Compensatory heterogeneity in spatially explicit capture-recapture data.

M G Efford, G Mowat

    Ecology
    |July 9, 2014
    PubMed
    Summary
    This summary is machine-generated.

    Spatially explicit capture-recapture methods for large carnivores can be biased by detection heterogeneity. A new measure, the single-detector sampling area (a(0)), better predicts bias, improving density estimates.

    More Related Videos

    Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
    09:32

    Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

    Published on: November 20, 2017

    8.8K
    Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking
    05:58

    Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking

    Published on: August 29, 2018

    8.2K

    Related Experiment Videos

    Last Updated: Apr 27, 2026

    Quantifying Corticolous Arthropods Using Sticky Traps
    05:28

    Quantifying Corticolous Arthropods Using Sticky Traps

    Published on: January 19, 2020

    4.9K
    Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
    09:32

    Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

    Published on: November 20, 2017

    8.8K
    Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking
    05:58

    Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking

    Published on: August 29, 2018

    8.2K

    Area of Science:

    • Ecology
    • Wildlife Biology
    • Statistical Ecology

    Background:

    • Spatially explicit capture-recapture (SECR) methods are vital for estimating large carnivore abundance.
    • Detection probability in SECR typically decreases with distance from the home range center.
    • Heterogeneity in home range size (e.g., by sex) can introduce bias into density estimates.

    Purpose of the Study:

    • To investigate the relationship between detection parameters in SECR models.
    • To introduce a new metric, the single-detector sampling area (a(0)), for assessing detection heterogeneity.
    • To evaluate the performance of a(0) in predicting bias in density estimates.

    Main Methods:

    • Developed a theoretical framework suggesting an inverse relationship between detection magnitude and spatial scale parameters.
    • Defined the single-detector sampling area (a(0)) as a composite measure of detection.
    • Utilized simulation studies to assess the coefficient of variation (CV) of a(0) as a predictor of bias.
    • Applied the method to grizzly bear (Ursus arctos) data.

    Main Results:

    • Simulations indicated that the CV of a(0) is a superior predictor of bias compared to individual parameter CVs.
    • Density estimates showed negligible bias (< 5%) when CV(a(0)) was below 30%.
    • Empirical analysis with grizzly bears revealed minimal sex-based variation in a(0) despite differences in component parameters.

    Conclusions:

    • An inverse relationship between detection magnitude and spatial scale parameters is biologically plausible and improves SECR models.
    • The single-detector sampling area (a(0)) provides a more robust measure for evaluating detection heterogeneity and potential bias.
    • Parameterizing SECR models with a(0) enhances parsimony and biological interpretability, leading to more reliable density estimates for large carnivores.