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

Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Nuclear Stability03:18

Nuclear Stability

23.3K
Protons and neutrons, collectively called nucleons, are packed together tightly in a nucleus. With a radius of about 10−15 meters, a nucleus is quite small compared to the radius of the entire atom, which is about 10−10 meters. Nuclei are extremely dense compared to bulk matter, averaging 1.8 × 1014 grams per cubic centimeter. If the earth’s density were equal to the average nuclear density, the earth’s radius would be only about 200 meters.
To hold positively charged protons together...
23.3K
RNA Stability01:53

RNA Stability

35.8K
Intact DNA strands can be found in fossils, while scientists sometimes struggle to keep RNA intact under laboratory conditions. The structural variations between RNA and DNA underlie the differences in their stability and longevity. Because DNA is double-stranded, it is inherently more stable. The single-stranded structure of RNA is less stable but also more flexible and can form weak internal bonds. Additionally, most RNAs in the cell are relatively short, while DNA can be up to 250 million...
35.8K
Network Covalent Solids02:18

Network Covalent Solids

16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
Stability01:28

Stability

421
The time response of a linear time-invariant (LTI) system can be divided into transient and steady-state responses. The transient response represents the system's initial reaction to a change in input and diminishes to zero over time. In contrast, the steady-state response is the behavior that persists after the transient effects have faded.
The stability of an LTI system is determined by the roots of its characteristic equation, known as poles. A system is stable if it produces a bounded...
421
Stability of structures01:14

Stability of structures

532
In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...
532

You might also read

Related Articles

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

Sort by
Same author

Upper thermal tolerance differs between populations of a cyprinid fish, Pseudaspius sachalinensis.

Journal of fish biology·2026
Same author

Deep learning for incidence rate prediction and radiation risk assessment of solid tumors.

Scientific reports·2026
Same author

Novel dietary FemTech based on dietary reference intakes for premenstrual and menstrual disorders: a pilot open-label randomized controlled trial of dietary intervention.

BMC women's health·2026
Same author

Increased vulnerability of alert responses to combined call sequences under anthropogenic noise in bird communication.

Environmental science and pollution research international·2026
Same author

Seasonal timing of ecosystem linkage mediates life-history variation in a salmonid fish population.

Ecology·2025
Same author

Linking energetic instability to compositional changes in biological communities.

Proceedings of the National Academy of Sciences of the United States of America·2025

Related Experiment Video

Updated: Feb 9, 2026

Automatic Identification of Dendritic Branches and their Orientation
06:08

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

2.3K

Metapopulation stability in branching river networks.

Akira Terui1,2, Nobuo Ishiyama2, Hirokazu Urabe3

  • 1Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN 55108; hanabi0111@gmail.com.

Proceedings of the National Academy of Sciences of the United States of America
|June 14, 2018
PubMed
Summary

Branching complexity in river networks stabilizes fish metapopulations by integrating diverse population dynamics. This fractal characteristic enhances species persistence, challenging traditional 2D ecosystem stability theories.

Keywords:
dendritic ecological networkdispersalportfolio effectspatially structured populationstream

More Related Videos

Clean Sampling and Analysis of River and Estuarine Waters for Trace Metal Studies
10:44

Clean Sampling and Analysis of River and Estuarine Waters for Trace Metal Studies

Published on: July 1, 2016

12.1K
Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.9K

Related Experiment Videos

Last Updated: Feb 9, 2026

Automatic Identification of Dendritic Branches and their Orientation
06:08

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

2.3K
Clean Sampling and Analysis of River and Estuarine Waters for Trace Metal Studies
10:44

Clean Sampling and Analysis of River and Estuarine Waters for Trace Metal Studies

Published on: July 1, 2016

12.1K
Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.9K

Area of Science:

  • Ecology
  • Conservation Biology
  • Theoretical Ecology

Background:

  • Intraspecific population diversity, particularly spatial asynchrony, is crucial for metapopulation stability and persistence.
  • Traditional theories predict increased metapopulation stability with larger ecosystem sizes in 2D systems.
  • Existing theories may not adequately capture emergent properties in branching ecosystems like river networks.

Purpose of the Study:

  • To investigate the role of branching complexity in fractal river networks on watershed metapopulation stability.
  • To test the hypothesis that branching probability, a scale-invariant feature, stabilizes metapopulations.
  • To compare the effects of branching complexity versus metapopulation size on stability in riverine systems.

Main Methods:

  • Combined theoretical modeling with analysis of an 18-year dataset of fish populations across 31 watersheds.
  • Quantified branching complexity using branching probability in fractal river networks.
  • Compared metapopulation stability across different riverine systems with varying branching complexity.

Main Results:

  • Branching complexity, not metapopulation size, was found to be a significant stabilizer of watershed metapopulations.
  • Theoretical analysis revealed that probabilistic processes in natural conditions, where within-branch synchrony exceeds among-branch synchrony, drive this stabilizing effect.
  • Empirical data from 31 watersheds confirmed the consistent stabilizing effect of branching complexity on diverse fish metapopulations.

Conclusions:

  • Branching complexity is a key factor in stabilizing metapopulations within riverine ecosystems.
  • This finding challenges existing 2D ecological theories and highlights the importance of habitat geometry.
  • The strong association between branching complexity and metapopulation stability likely influences species persistence during environmental changes.