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

Pollination and Flower Structure02:40

Pollination and Flower Structure

72.7K
Flowers are the reproductive, seed-producing structures of angiosperms. Typically, flowers consist of sepals, petals, stamens, and carpels. Sepals and petals are the vegetative flower organs. Stamens and carpels are the reproductive organs.  
72.7K
Speciation Rates01:07

Speciation Rates

21.8K
Overview
21.8K
Formation of Species01:31

Formation of Species

43.3K
Speciation describes the formation of one or more new species from one or sometimes multiple original species. The resulting species are discrete from the parent species, and barriers to reproduction will typically exist. There are two primary mechanisms, speciation with and without geographic isolation—allopatric and sympatric speciation, respectively.
43.3K
Genetics of Speciation02:16

Genetics of Speciation

20.1K
Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.
20.1K
Frequency-dependent Selection01:21

Frequency-dependent Selection

22.4K
When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
22.4K
Gene Flow02:39

Gene Flow

36.2K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
36.2K

You might also read

Related Articles

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

Sort by
Same author

When sexual selection through mate choice depletes versus exaggerates genetic variation: Unraveling the lek paradox.

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

Learned Sex Discrimination and the Evolution of Same-Sex Sexual Behavior.

The American naturalist·2025
Same author

Cryptic female choice can maintain reproductive isolation.

Evolution; international journal of organic evolution·2025
Same author

Correction: Predation drives complex eco-evolutionary dynamics in sexually selected traits.

PLoS biology·2025
Same author

Reconciling Santa Rosalia: Both Reproductive Isolation and Coexistence Constrain Diversification.

The American naturalist·2024
Same author

The contributions of direct and indirect selection to the evolution of mating preferences.

Evolution; international journal of organic evolution·2024

Related Experiment Video

Updated: Oct 19, 2025

Field Experiments of Pollination Ecology: The Case of Lycoris sanguinea var. sanguinea
07:19

Field Experiments of Pollination Ecology: The Case of Lycoris sanguinea var. sanguinea

Published on: November 25, 2016

11.7K

The evolution of flower longevity in unpredictable pollination environments.

Kuangyi Xu1, Maria R Servedio1

  • 1Department of Biology, University of North Carolina, Chapel Hill, North Carolina, USA.

Journal of Evolutionary Biology
|September 18, 2021
PubMed
Summary

Flower longevity, critical for plant reproduction, is influenced by pollination unpredictability. Spatial variation favors shorter lifespans, while temporal fluctuations favor longer flower life, impacting plant reproductive success.

Keywords:
environmental variationflower longevityplant reproductionpollination

More Related Videos

Author Spotlight: A High-Resolution, Single-Grain, In Vivo Pollen Hydration Bioassay for Arabidopsis thaliana
07:07

Author Spotlight: A High-Resolution, Single-Grain, In Vivo Pollen Hydration Bioassay for Arabidopsis thaliana

Published on: June 30, 2023

2.9K
Determination of Self- and Inter-incompatibility Relationships in Apricot Combining Hand-Pollination, Microscopy and Genetic Analyses
08:08

Determination of Self- and Inter-incompatibility Relationships in Apricot Combining Hand-Pollination, Microscopy and Genetic Analyses

Published on: June 16, 2020

7.5K

Related Experiment Videos

Last Updated: Oct 19, 2025

Field Experiments of Pollination Ecology: The Case of Lycoris sanguinea var. sanguinea
07:19

Field Experiments of Pollination Ecology: The Case of Lycoris sanguinea var. sanguinea

Published on: November 25, 2016

11.7K
Author Spotlight: A High-Resolution, Single-Grain, In Vivo Pollen Hydration Bioassay for Arabidopsis thaliana
07:07

Author Spotlight: A High-Resolution, Single-Grain, In Vivo Pollen Hydration Bioassay for Arabidopsis thaliana

Published on: June 30, 2023

2.9K
Determination of Self- and Inter-incompatibility Relationships in Apricot Combining Hand-Pollination, Microscopy and Genetic Analyses
08:08

Determination of Self- and Inter-incompatibility Relationships in Apricot Combining Hand-Pollination, Microscopy and Genetic Analyses

Published on: June 16, 2020

7.5K

Area of Science:

  • Evolutionary biology
  • Plant reproductive strategies
  • Ecological modeling

Background:

  • Flower longevity is crucial for successful pollination and plant reproduction.
  • Previous research linked flower longevity to pollen deposition and removal rates.
  • The impact of unpredictable pollination environments on flower lifespan evolution remains unclear.

Purpose of the Study:

  • To investigate the evolution of flower longevity under varying pollination environments.
  • To differentiate the effects of spatial versus temporal variation on flower lifespan.
  • To test the hypothesis that unpredictable pollination selects for increased flower longevity.

Main Methods:

  • Utilized evolutionary game theory to model flower longevity.
  • Analyzed three types of environmental variation: spatial heterogeneity, daily fluctuations, and yearly fluctuations.
  • Examined the influence of correlated fitness accrual rates on flower lifespan.

Main Results:

  • Spatial heterogeneity generally selects for shorter flower lifespans.
  • Temporal fluctuations (daily and yearly) tend to favor increased flower longevity.
  • Correlation between female and male fitness accrual rates did not significantly affect flower longevity.

Conclusions:

  • Flower longevity evolution is complex and depends on the type of environmental variation.
  • Distinguishing between spatial and temporal variation is essential for understanding flower lifespan evolution.
  • Future research should measure spatial and temporal variations in plant reproductive functions.