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

Competitive coexistence in a dynamic landscape.

Manojit Roy1, Mercedes Pascual, Simon A Levin

  • 1Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109-1048, USA. roym@ufl.edu

Theoretical Population Biology
|November 25, 2004
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

Tracking Dynamics of Superspreading Through Contacts, Exposures, and Transmissions in Edge-Based Network Epidemics.

Bulletin of mathematical biology·2026
Same author

From multiplicity of infection to force of infection in sparsely sampled high-transmission <i>Plasmodium falciparum</i> populations.

eLife·2026
Same author

Beyond Temperature: Relative Humidity Systematically Shifts Juvenile Thermal Performance and Projected Population Growth in a Malaria Vector.

Ecology letters·2026
Same author

Institutional dynamics produce resource curse traps.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Spatio-temporal modelling of in vitro influenza A virus infection: The impact of defective interfering particles on the type I interferon response.

PLoS computational biology·2026
Same author

Humidity shapes the thermal niche of <i>Anopheles stephensi</i>, an invasive malaria vector.

bioRxiv : the preprint server for biology·2026
Same journal

Statistical test to compare the linkage model and the admixture model based on central limit results.

Theoretical population biology·2026
Same journal

Threshold dynamics in age-structured distributions with expanding support: A unified mathematical framework.

Theoretical population biology·2026
Same journal

Mechanistic-statistical model for the expansion of ash dieback.

Theoretical population biology·2026
Same journal

Dynamics of an intraguild predation system with optimal foraging and harvesting.

Theoretical population biology·2026
Same journal

Impact of co-occurrent assortative mating and vertical cultural transmission on measures of genetic associations.

Theoretical population biology·2026
Same journal

The coalescent of a sample from a linear-fractional branching process.

Theoretical population biology·2026
See all related articles

Dynamic landscapes significantly impact species persistence, altering biodiversity patterns. Habitat dynamics, not just spatial fragmentation, are key to understanding ecological communities and species survival.

Area of Science:

  • Ecology
  • Ecological modeling
  • Biodiversity research

Background:

  • Static landscape models often show increased species richness with fragmentation.
  • Understanding species interactions and habitat dynamics is crucial for ecological predictions.
  • Previous research has primarily focused on spatial patterns, neglecting temporal landscape changes.

Purpose of the Study:

  • To investigate how dynamic landscapes influence the persistence of interacting species.
  • To model the effects of habitat creation and destruction on community structure.
  • To compare biodiversity patterns in dynamic versus static landscapes.

Main Methods:

  • Developed a multi-species community model with an evolving, dynamic landscape.
  • Incorporated local habitat dynamics (creation/destruction) and local species interactions.

Related Experiment Videos

  • Analyzed species richness, species-area exponent, and species persistence over time.
  • Main Results:

    • Dynamic landscapes can reverse the trend of increasing species richness with fragmentation.
    • The species-area exponent increase observed in static fragmented landscapes is absent in dynamic ones.
    • Temporal habitat dynamics were found to be more dominant than spatial characteristics alone.
    • Species persistence is influenced by the interaction of temporal and spatial factors, increasing with faster local turnover due to dynamic corridors.

    Conclusions:

    • Habitat dynamics and temporal processes are critical drivers of ecological communities, often outweighing spatial patterns.
    • Dynamic landscapes offer a more realistic framework for predicting species persistence and biodiversity.
    • The presence of dynamic corridors in landscapes with faster local turnover enhances species persistence.