Jove
Visualize
Contact Us

Related Concept Videos

Trophic Levels01:35

Trophic Levels

37.2K
All organisms in an ecosystem occupy a trophic level in the food chain. The lowest level consists of primary producers, which synthesize their food from either solar or chemical energy. Each subsequent level obtains energy from the levels below. Detritivores can occupy any of the levels above primary producers.
37.2K
Trophic Efficiency00:46

Trophic Efficiency

25.0K
Trophic level transfer efficiency (TLTE) is a measure of the total energy transfer from one trophic level to the next. Due to extensive energy loss as metabolic heat, an average of only 10% of the original energy obtained is passed on to the next level. This pattern of energy loss severely limits the possible number of trophic levels in a food chain.
25.0K
Ubiquitin Chain Analysis by Parallel Reaction Monitoring08:33

Ubiquitin Chain Analysis by Parallel Reaction Monitoring

4.0K
This method describes the assessment of global changes in ubiquitin chain topology. The assessment is performed by the application of a mass spectrometry-based targeted proteomics...
4.0K
Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence08:55

Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence

12.8K
We describe a non-invasive animal imaging platform that allows the detection, quantification, and monitoring of ovarian cancer growth and recurrence. This intra-peritoneal xenograft model mimics the clinical profile of patients with ovarian cancer.
12.8K
Laboratory Estimation of Net Trophic Transfer Efficiencies of PCB Congeners to Lake Trout (Salvelinus namaycush) from Its Prey12:24

Laboratory Estimation of Net Trophic Transfer Efficiencies of PCB Congeners to Lake Trout (Salvelinus namaycush) from Its Prey

11.3K
A technique for laboratory estimation of net trophic transfer efficiency of polychlorinated biphenyl (PCB) congeners to piscivorous fish from their prey is presented. To maximize applicability of the laboratory results to the field, the piscivorous fish should be fed prey fish that are typically eaten in the...
11.3K
Quantification of the Abundance and Charging Levels of Transfer RNAs in Escherichia coli10:34

Quantification of the Abundance and Charging Levels of Transfer RNAs in Escherichia coli

9.8K
Here we present a method for directly measuring transfer RNA charging levels from purified Escherichia coli RNA as well as a way to compare relative levels of transfer RNA, or any other short RNA, across different samples based on the addition of spike-in cells expressing a reference...
9.8K

You might also read

Related Articles

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

Sort by
Same author

Oral microbiome dysbiosis of <i>Porphyromonas gingivalis</i> in oral leukoplakia, oral squamous cell carcinoma and radiation-induced oral mucositis: a qPCR-based cross-sectional study.

Future microbiology·2026
Same author

HER2/neu and Ki-67 as prognostic biomarkers in urothelial carcinoma.

Bioinformation·2026
Same author

Retraction notice to "Bioactive compounds and their libraries: An insight into prospective phytotherapeutics approach for oral mucocutaneous cancers" [Biomedicine & Pharmacotherapy 141 (2021) 111809].

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie·2026
Same author

D-Dimer: An Early Marker of Disseminated Intravascular Coagulation in Preeclampsia and Eclampsia.

Cureus·2026
Same author

Smoking-induced shifts in salivary exosomal cytokines and amino acid profiles as potential early biomarkers for oral cancer.

Cytokine·2025
Same author

Transduction of Human Fetal Liver Hematopoietic CD34+ Stem and Progenitor Cells into a Cell Line by Enhancing Telomerase Activity.

International journal of hematology-oncology and stem cell research·2024
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 Video

Updated: Jan 19, 2026

Trophic Levels: Food Chains and Food Webs
01:35

Trophic Levels: Food Chains and Food Webs

Published on: October 23, 2025

37.2K

Recurrence quantification analysis of a three level trophic chain model.

Rashmi Bhardwaj1, Saureesh Das1

  • 1University School of Basic Sciences, Guru Gobind Singh Indraprastha University, Dwarka, Delhi, India.

Heliyon
|September 12, 2019
PubMed
Summary
This summary is machine-generated.

This study uses recurrence plots and recurrence quantification analysis to identify state transitions in a complex food web model. These methods help pinpoint bifurcation behavior in biological systems.

Keywords:
Applied mathematicsBifurcationComplex systemEcologyFood webMathematical biologyNonlinear physicsRecurrence plotRecurrence quantification analysis

More Related Videos

Ubiquitin Chain Analysis by Parallel Reaction Monitoring
08:33

Ubiquitin Chain Analysis by Parallel Reaction Monitoring

Published on: June 17, 2020

4.0K
Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence
08:55

Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence

Published on: November 2, 2014

12.8K

Related Experiment Videos

Last Updated: Jan 19, 2026

Trophic Levels: Food Chains and Food Webs
01:35

Trophic Levels: Food Chains and Food Webs

Published on: October 23, 2025

37.2K
Ubiquitin Chain Analysis by Parallel Reaction Monitoring
08:33

Ubiquitin Chain Analysis by Parallel Reaction Monitoring

Published on: June 17, 2020

4.0K
Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence
08:55

Murine Model for Non-invasive Imaging to Detect and Monitor Ovarian Cancer Recurrence

Published on: November 2, 2014

12.8K

Area of Science:

  • Ecology
  • Nonlinear Dynamics
  • Computational Biology

Background:

  • Complex ecological models, such as food webs, exhibit dynamic behaviors including periodic, chaotic, and laminar states.
  • Understanding transitions between these states is crucial for ecological stability and prediction.
  • Traditional analysis methods may struggle to capture transient dynamics and subtle state changes.

Purpose of the Study:

  • To apply recurrence plots and recurrence quantification analysis (RQA) to a complex three-species food web model.
  • To detect and characterize transitions between periodic, chaotic, and laminar states within the model.
  • To localize the bifurcation behavior of the dynamical system using RQA measures.

Main Methods:

  • Utilized a complex three-species food web model with enhanced growth and predation functions.
  • Employed recurrence plots to visualize the system's state space.
  • Calculated RQA measures including recurrence rate, determinism, divergence, entropy, laminarity, and trapping time.

Main Results:

  • Successfully detected transitions between periodic, chaotic, and laminar states in the food web model.
  • Demonstrated that RQA measures can effectively characterize these different dynamical states.
  • Localized the bifurcation points of the system by analyzing the RQA measures over time.

Conclusions:

  • Recurrence plots and RQA are powerful tools for analyzing complex ecological dynamics.
  • These methods provide insights into state transitions and bifurcation behavior in food web models.
  • The study highlights the utility of nonlinear time series analysis in understanding biological system dynamics.