Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Symbiosis

Symbiosis

Symbiotic relationships are long-term, close interactions between individuals of different species that affect the distribution and abundance of those species. When a relationship is beneficial to both species, this is called mutualism. When the relationship is beneficial to one species but neither beneficial nor harmful to the other species, this is called commensalism. When one organism is harmed to benefit another, the relationship is known as parasitism. These types of relationships often...

What are Populations and Communities?

What are Populations and Communities?

Microbial Interactions: Competition

Microbial Interactions: Competition

Microbial competition is an ecological interaction in which microorganisms vie for limited resources within shared environments. These resources may include nutrients, space, or light, depending on the system. The intensity and outcome of competition are influenced by the environmental context, such as nutrient availability, spatial constraints, and the diversity of microbial species present. These competitive interactions significantly influence the structure, function, and resilience of...

Ecological Niches

Ecological Niches

All organisms have a position within an ecosystem. The complete set of living and nonliving factors—including food resources, climate, and terrain—that define the position of a given organism are collectively referred to as the organism’s ecological niche.

Competition

Competition

When organisms require the same limited resources within an environment, they may have to compete for them. Competition is a net-negative interaction. Even if two competing individuals or populations do not interact directly, the overall fitness of both competitors is lowered as a result of not having full access to the limited resource.

Microenvironments

Microenvironments

Microorganisms inhabit highly localized spaces known as microenvironments, which are defined by distinct physical and chemical characteristics. These include oxygen concentration, pH, temperature, light availability, and nutrient levels. The conditions within a microenvironment can differ markedly from those in the surrounding area and significantly influence microbial growth, metabolism, and community structure.Microenvironments often display sharp physicochemical gradients over small spatial...

You might also read

Related Articles

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

Sort by

Same authorSame journal

Quantifying Quantum-Like Structure in Rough Set Lattices: Numerical Indices for Complex and Intelligent Systems.

Bio Systems·2026

Same author

Interplay Between Vertical and Horizontal Schemes of Computation: From Bayesian Inference to Quantum Logic via Gluing Boolean Algebras.

Entropy (Basel, Switzerland)·2026

Same author

Adaptive inference through Bayesian and inverse Bayesian inference with symmetry bias in nonstationary environments.

Bio Systems·2026

Same author

Enhancing Neuromorphic Robustness via Recurrence Resonance: The Role of Shared Weak Attractors in Quantum Logic Networks.

Biomimetics (Basel, Switzerland)·2026

Same author

Information structure of heterogeneous criticality in a fish school.

Scientific reports·2024

Same author

Quantum logic automata generate class IV-like patterns and 1/f noise.

Bio Systems·2024

Search research articles

Related Experiment Video

Updated: May 15, 2026

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Published on: March 13, 2014

Interactions between species and environments from incomplete information.

Takayuki Niizato¹, Yukio-Pegio Gunji

¹Graduate School of Science, Tsukuba University, Japan. t_niizato@yahoo.co.jp

|January 22, 2013

Summary

This summary is machine-generated.

Evolutionary adaptation balances optimal fitness with maintaining variation. This study models dynamic negotiation between local and global information, revealing how species achieve robust adaptation without arbitrary parameters.

More Related Videos

JenaTron - An Experimental Approach to Study the Effects of Plant History and Soil History on Grassland Ecosystem Functioning

JenaTron - An Experimental Approach to Study the Effects of Plant History and Soil History on Grassland Ecosystem Functioning

Published on: March 21, 2025

Using Coculture to Detect Chemically Mediated Interspecies Interactions

Using Coculture to Detect Chemically Mediated Interspecies Interactions

Published on: October 31, 2013

Related Experiment Videos

Last Updated: May 15, 2026

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

Published on: March 13, 2014

JenaTron - An Experimental Approach to Study the Effects of Plant History and Soil History on Grassland Ecosystem Functioning

JenaTron - An Experimental Approach to Study the Effects of Plant History and Soil History on Grassland Ecosystem Functioning

Published on: March 21, 2025

Using Coculture to Detect Chemically Mediated Interspecies Interactions

Using Coculture to Detect Chemically Mediated Interspecies Interactions

Published on: October 31, 2013

Area of Science:

Evolutionary biology
Theoretical ecology
Complex systems

Background:

Species face a dilemma: optimize current fitness or maintain variation for future change.
These adaptive strategies appear contradictory, as optimization may reduce variation and vice versa.
A balance between optimal and robust adaptation is crucial for long-term species survival.

Purpose of the Study:

To propose a model resolving the conflict between optimal and robust adaptation.
To illustrate dynamic information negotiation in evolutionary processes.
To explain how species balance adaptation to current environments with readiness for future changes.

Main Methods:

Utilizing lattice theory to model dynamic negotiation between local and global information.
Developing a theoretical framework for adaptive processes in species.
Analyzing the model's outcomes for fitness overestimation and adaptive behaviors.

Main Results:

The model demonstrates a dynamic balance between optimal and robust adaptation.
Fitness overestimation, akin to exaptation, arises from this negotiation.
Species in the model exhibit power-law lifespan distributions and 1/f fluctuation in adaptation.

Conclusions:

The proposed model offers a parameter-free approach to balancing adaptation strategies.
Dynamic negotiation of information levels is key to resolving evolutionary dilemmas.
The model provides insights into species' resilience and long-term evolutionary success.