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

Comparing risk factors for population extinction.

H Hakoyama1, Y Iwasa, J Nakanishi

  • 1Department of Biology, Kyushu University, Fukuoka, 812-8581, Japan. hako@hnf.affrc.go.jp

Journal of Theoretical Biology
|May 19, 2000
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

Endoscopic treatment for appendiceal intussusception due to barium stool impaction that mimics a submucosal tumor.

Techniques in coloproctology·2022
Same author

Numerical and Experimental Study to Fabricate the New Type Compact NMR Device Using Stacked HTS Bulks.

IEEE transactions on applied superconductivity : a publication of the IEEE Superconductivity Committee·2020
Same author

Mottness versus unit-cell doubling as the driver of the insulating state in 1T-TaS<sub>2</sub>.

Nature communications·2020
Same author

Radial Spin Texture in Elemental Tellurium with Chiral Crystal Structure.

Physical review letters·2020
Same author

A New High-Temperature Superconducting (HTS) 700-MHz Insert Magnet for a 1.3-GHz LTS/HTS NMR Magnet.

IEEE transactions on applied superconductivity : a publication of the IEEE Superconductivity Committee·2020
Same author

Direct observation of imploded core heating via fast electrons with super-penetration scheme.

Nature communications·2019
Same journal

A Hybrid Reaction-Diffusion and Mechanical Stimulus Model for Mandibular Bone Remodeling under Chewing and Vibratory Loading.

Journal of theoretical biology·2026
Same journal

Integrated tick management strategies in fragmented peridomestic environments.

Journal of theoretical biology·2026
Same journal

Joint likelihood-free inference of the number of selected single nucleotide polymorphisms and their selection coefficients in an evolving population.

Journal of theoretical biology·2026
Same journal

Misspecification of the generation time distribution and its impact on R<sub>t</sub> estimates in structured populations.

Journal of theoretical biology·2026
Same journal

Stability-driven assembly meets Prigoginian informational dissipation. A mean-field ODE comment of entropy reduction and emergent proto-self.

Journal of theoretical biology·2026
Same journal

Evolution of dispersal in a spatially heterogeneous population with finite patch sizes and catastrophes.

Journal of theoretical biology·2026
See all related articles

Environmental toxins and habitat loss increase extinction risk. This study quantizes how toxic chemical exposure impacts mean extinction time, providing a method to compare it with habitat size reduction for conservation efforts.

Area of Science:

  • Ecology
  • Environmental Science
  • Conservation Biology

Background:

  • Extinction risk in natural populations is influenced by factors like habitat reduction and chemical pollution.
  • Quantifying the relative impact of these threats is crucial for effective conservation strategies.

Purpose of the Study:

  • To develop a quantitative method for evaluating extinction risk factors.
  • To compare the impact of habitat size reduction versus toxic chemical exposure on mean extinction time.

Main Methods:

  • Utilized a population model incorporating logistic growth, environmental, and demographic stochasticities.
  • Analyzed the effects of habitat reduction (decreasing carrying capacity K) and toxic exposure (decreasing intrinsic growth rate r and K).
  • Derived a formula to equate the impact of habitat reduction to a given level of toxic exposure on mean extinction time.

Related Experiment Videos

Main Results:

  • Toxic chemical exposure can significantly increase extinction risk, comparable to substantial habitat size reduction.
  • The impact of reduced survivorship (due to toxins) on extinction risk is amplified in large or slowly growing populations.
  • The dose-effect relationship nonlinearity influences the comparison between habitat loss and toxic exposure.

Conclusions:

  • A novel method allows for the direct comparison of different extinction risk factors.
  • Understanding the interplay between population parameters and environmental stressors is key to predicting extinction.
  • The study provides a framework for prioritizing conservation actions based on quantified risk reduction.