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 Experiment Videos

Monte Carlo simulation program for ecosystems.

A Giró1, J Valls, J A Padró

  • 1Department of Tecnologia Computadors, Universitat Politècnica Catalunya, Barcelona, Spain.

Computer Applications in the Biosciences : CABIOS
|December 1, 1986
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Implementation of ambulatory health care quality standards in an Occupational Mutual Insurance Company.

Journal of healthcare quality research·2026
Same author

Socio-demographic and occupational determinants of poor self-perceived health among seasonal migrant farmworkers: A cross-sectional analysis.

Public health·2026
Same author

A probabilistic Poisson-based model to detect PRRSV recirculation using sow production records.

Preventive veterinary medicine·2020
Same author

Circulating tumor cells (CTCs) and cytokeratin 19 (CK19) mRNA as prognostic factors in heavily pretreated patients with metastatic breast cancer.

Cancer treatment and research communications·2019
Same author

Topical Analgesia with Lidocaine Plus Diclofenac Decreases Pain in Benign Anorectal Surgery: Randomized, Double-blind, and Controlled Clinical Trial.

Clinical and translational gastroenterology·2018
Same author

Stem cell-like transcriptional reprogramming mediates metastatic resistance to mTOR inhibition.

Oncogene·2016
Same journal

DCA: an efficient implementation of the divide-and-conquer approach to simultaneous multiple sequence alignment.

Computer applications in the biosciences : CABIOS·1998
Same journal

Two applications to facilitate the viewing of database search result files on the Macintosh.

Computer applications in the biosciences : CABIOS·1998
Same journal

BioWish: a molecular biology command extension to Tcl/Tk.

Computer applications in the biosciences : CABIOS·1998
Same journal

The Sequence Alerting Server--a new WEB server.

Computer applications in the biosciences : CABIOS·1998
Same journal

A software tool for the analysis of mass spectrometric disulfide mapping experiments.

Computer applications in the biosciences : CABIOS·1998
Same journal

SAMBA: hardware accelerator for biological sequence comparison.

Computer applications in the biosciences : CABIOS·1998
See all related articles

This study introduces a Monte Carlo simulation to model living populations and their environment. The simulation offers new ecological insights and potential for artificial biomass production control.

Area of Science:

  • Computational Ecology
  • Biophysics
  • Ecological Modeling

Background:

  • Existing macroscopic deterministic models in ecology have limitations in describing population dynamics.
  • Physics-based simulation techniques, like molecular dynamics, offer novel approaches for biological systems.

Purpose of the Study:

  • To develop a Monte Carlo computer simulation program for analyzing spatial and temporal population evolution.
  • To explore environmental energy conditions' impact on living populations.
  • To gain insights into ecological models and artificial biomass production.

Main Methods:

  • Monte Carlo computer simulation.
  • Inspired by molecular dynamics and liquid simulations from physics.
  • Modeling spatial and temporal population dynamics under defined energy conditions.

Related Experiment Videos

Main Results:

  • The simulation provides a framework to describe population dynamics over space and time.
  • It offers new insights that complement existing macroscopic ecological models.
  • Potential applications in controlling artificial biomass production systems are suggested.

Conclusions:

  • The Monte Carlo simulation is a valuable tool for ecological studies.
  • This approach can enhance understanding of population behavior in controlled environments.
  • It opens avenues for optimizing artificial biomass production.