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

Phase Transitions02:31

Phase Transitions

23.2K
Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to...
23.2K
Properties of Transition Metals02:58

Properties of Transition Metals

30.0K
Transition metals are defined as those elements that have partially filled d orbitals. As shown in Figure 1, the d-block elements in groups 3–12 are transition elements. The f-block elements, also called inner transition metals (the lanthanides and actinides), also meet this criterion because the d orbital is partially occupied before the f orbitals.
30.0K
States of Water01:23

States of Water

57.1K
Water exists in any one of the three classical states: solid (ice), liquid (water), and gas (steam or water vapor). The state of water depends on i) the intermolecular forces that draw molecules together and ii) the kinetic energy that leads to movements that pull them apart.
Water freezes when the intermolecular forces are greater than the kinetic energy. Unlike most other substances, water is less dense in its solid state than in its liquid state. This is because each water molecule can form...
57.1K
Phase Transitions: Vaporization and Condensation02:39

Phase Transitions: Vaporization and Condensation

21.5K
The physical form of a substance changes on changing its temperature. For example, raising the temperature of a liquid causes the liquid to vaporize (convert into vapor). The process is called vaporization—a surface phenomenon. Vaporization occurs when the thermal motion of the molecules overcome the intermolecular forces, and the molecules (at the surface) escape into the gaseous state. When a liquid vaporizes in a closed container, gas molecules cannot escape. As these gas phase molecules...
21.5K
Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

8.8K
Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
8.8K
Phase Transitions: Melting and Freezing02:39

Phase Transitions: Melting and Freezing

15.2K
Heating a crystalline solid increases the average energy of its atoms, molecules, or ions, and the solid gets hotter. At some point, the added energy becomes large enough to partially overcome the forces holding the molecules or ions of the solid in their fixed positions, and the solid begins the process of transitioning to the liquid state or melting. At this point, the temperature of the solid stops rising, despite the continual input of heat, and it remains constant until all of the solid is...
15.2K

You might also read

Related Articles

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

Sort by
Same author

Hydraulic drive framework on habitat suitability enhances movement bias of brown trout in stream networks.

Scientific reports·2025
Same author

Nature-based solution enhances resilience to flooding and catalyzes multi-benefits in coastal cities in the Global South.

The Science of the total environment·2024
Same author

Splitting probabilities and mean first-passage times across multiple thresholds of jump-and-drift transition paths.

Physical review. E·2023
Same author

Eco-morphodynamic carbon pumping by the largest rivers in the Neotropics.

Scientific reports·2023
Same author

Nonlinear reconstruction of bioclimatic outdoor-environment dynamics for the Lower Silesia region (SW Poland).

International journal of biometeorology·2021
Same author

An Integrated Methodology to Study Riparian Vegetation Dynamics: From Field Data to Impact Modeling.

Journal of advances in modeling earth systems·2020

Related Experiment Video

Updated: Feb 7, 2026

Patterning via Optical Saturable Transitions - Fabrication and Characterization
08:19

Patterning via Optical Saturable Transitions - Fabrication and Characterization

Published on: December 11, 2014

7.2K

Parametric transitions between bare and vegetated states in water-driven patterns.

Matteo Bernard Bertagni1, Paolo Perona2, Carlo Camporeale3

  • 1Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, 10129 Turin, Italy; matteo.bertagni@polito.it.

Proceedings of the National Academy of Sciences of the United States of America
|July 25, 2018
PubMed
Summary

This study models vegetation spreading and pattern formation in rivers using mathematical analysis. It reveals how flow, vegetation, and sediment dynamics interact to create vegetated river states and alternate bars.

Keywords:
Devonian plant hypothesisecomorphodynamicsriversstochastic processesvegetation

More Related Videos

Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation
10:05

Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation

Published on: July 4, 2014

14.8K
Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff
08:49

Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff

Published on: May 15, 2017

11.3K

Related Experiment Videos

Last Updated: Feb 7, 2026

Patterning via Optical Saturable Transitions - Fabrication and Characterization
08:19

Patterning via Optical Saturable Transitions - Fabrication and Characterization

Published on: December 11, 2014

7.2K
Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation
10:05

Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation

Published on: July 4, 2014

14.8K
Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff
08:49

Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff

Published on: May 15, 2017

11.3K

Area of Science:

  • Biogeomorphology
  • Fluvial geomorphology
  • Ecological dynamics

Background:

  • Vegetation significantly influences river morphology, impacting sediment transport and channel patterns.
  • Understanding vegetation spreading and pattern formation is crucial for managing fluvial systems.

Purpose of the Study:

  • To mathematically model the conditions for vegetation spreading and pattern formation in fluvial systems.
  • To analyze the interplay between flow stochasticity, vegetation dynamics, and sediment transport.
  • To investigate the transition from bare to vegetated fluvial states.

Main Methods:

  • Mathematical modeling incorporating Poisson stochastic processes for flow unsteadiness.
  • Application of Floquet theory to analyze vegetation dynamics as a secondary instability.
  • Utilizing Center Manifold Projection to account for nonlinear bar formation.

Main Results:

  • The model successfully captures the physical conditions leading to vegetated fluvial states.
  • It explains the nonlinear formation and growth of finite alternate bars.
  • Identifies key processes governing vegetation spreading and pattern development.

Conclusions:

  • The developed model provides a framework for understanding vegetation's role in shaping river systems.
  • This research aids in comprehending biogeomorphological changes, both natural and anthropogenic.
  • Offers insights into historical (Devonian plant hypothesis) and modern river system evolution.