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 Experiment Videos

Hidden process models for animal population dynamics.

K B Newman1, S T Buckland, S T Lindley

  • 1School of Mathematics and Statistics, University of St. Andrews, St. Andrews, Scotland. ken@mcs.st-and.ac.uk

Ecological Applications : a Publication of the Ecological Society of America
|May 19, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Oral health of children from rural excluded villages (Trancas and Calchaqui valleys. Tucumán, Argentina).

Acta odontologica latinoamericana : AOL·2003
Same author

Loss of heterozygosity and methylation of p16 in renal cell carcinoma.

Urological research·2003
Same author

The selection between apoptosis and necrosis is differentially regulated in hydrogen peroxide-treated and glutathione-depleted human promonocytic cells.

Cell death and differentiation·2003
Same author

[Muscle granuloma: anatomoclinical correlation and immunohistochemistry in seven cases].

Revue neurologique·2003
Same author

[Diagnosis and localization of hyperparathyroidism by nuclear medicine procedures].

Anales de medicina interna (Madrid, Spain : 1984)·2003
Same author

Effect of freezing goat milk samples on recovery of intramammary bacterial pathogens.

Veterinary microbiology·2003
Same journal

Flower-rich and diverse road verges support pollinators, but traffic speed limits the ecological benefits across Europe.

Ecological applications : a publication of the Ecological Society of America·2026
Same journal

Methods to estimate marine functional connectivity: A primer.

Ecological applications : a publication of the Ecological Society of America·2026
Same journal

Invisible invaders: A new warning flag for molecularly detected alien species (MODAS) in databases and information systems.

Ecological applications : a publication of the Ecological Society of America·2026
Same journal

Balancing conflict and coexistence: Interactions between invasive monk parakeets and native urban birds.

Ecological applications : a publication of the Ecological Society of America·2026
Same journal

Using information theory to select spatial scales for species-habitat responses with camera traps.

Ecological applications : a publication of the Ecological Society of America·2026
Same journal

Evaluating species at risk in data-limited fisheries: A productivity-susceptibility analysis for marine aquarium fish.

Ecological applications : a publication of the Ecological Society of America·2026
See all related articles

Hidden process models offer a practical approach to analyze animal population dynamics by accounting for both natural variations and observation errors. This method improves estimates of population size and vital rates, crucial for conservation efforts.

Area of Science:

  • Ecology
  • Population Dynamics
  • Statistical Modeling

Background:

  • Animal population dynamics are influenced by complex demographic and environmental factors.
  • Accurate population estimates are often challenging due to inherent process variation and measurement errors.
  • Understanding these factors is critical for effective wildlife management and conservation.

Purpose of the Study:

  • To introduce and demonstrate the utility of hidden process models for ecological studies.
  • To simultaneously address process variation and observation/estimation error in population assessments.
  • To provide a framework for estimating true population abundances and dynamics parameters.

Main Methods:

  • Utilizing stochastic and deterministic subprocesses to model birth, survival, maturation, and movement.

Related Experiment Videos

  • Modeling observations as functions of true abundance with probability distributions for error.
  • Employing computer-intensive methods like sequential Monte Carlo or Markov Chain Monte Carlo for parameter estimation.

    • Main Results:

    • Demonstrated the formulation and fitting of a hidden process model.
    • Successfully estimated underlying true population abundances and population dynamics parameters.
    • Provided a practical application for analyzing complex population data.

    Conclusions:

    • Hidden process models are a powerful and practical tool for ecological research.
    • This approach enhances the accuracy of population estimates by accounting for key sources of uncertainty.
    • The methodology is applicable to various species, including the Sacramento River winter-run chinook salmon.