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

Exploring landscape structure effect on termite territory size using a model approach.

S-H Lee1, N-Y Su, P Bardunias

  • 1Department of Entomology and Nematology, Ft. Lauderdale Research and Education Center, University of Florida, 3205 College Avenue, Ft. Lauderdale, FL 33314, USA. sunchaos@pusan.ac.kr

Bio Systems
|July 3, 2007
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

Response to letter re: "Artificial intelligence-powered real-time multimodal model for predicting recurrence and survival in head and neck cancer: a multicenter, multinational study".

ESMO open·2026
Same author

Artificial intelligence-powered real-time multimodal model for predicting recurrence and survival in head and neck cancer: a multicenter, multinational study.

ESMO open·2026
Same author

Pan-Asian adapted ESMO Clinical Practice Guidelines for the diagnosis, treatment and follow-up of patients with oncogene-addicted metastatic non-small-cell lung cancer.

ESMO open·2024
Same author

Reply to the Letter to the Editor regarding 'PFS, OS or toxicity: what is the most important factor in the treatment of EGFR-mutated lung cancer?' by T. Nishimura and H. Fujimoto.

Annals of oncology : official journal of the European Society for Medical Oncology·2024
Same author

Expression of PD-L1, PD-L2, and inflammatory gene expression profile in locally advanced head and neck squamous cell carcinoma.

ESMO open·2024
Same author

Nationwide precision oncology pilot study: KOrean Precision Medicine Networking Group Study of MOlecular profiling-guided therapy based on genomic alterations in advanced solid tumors (KOSMOS) KCSG AL-20-05.

ESMO open·2024
Same journal

Spatiotemporal bursting in simulated cultures of cortical neurons.

Bio Systems·2026
Same journal

A brief discussion on recent models shedding light on how life emerged.

Bio Systems·2026
Same journal

Memory-based strategy reputation and adaptive learning in spatial evolutionary games: A robust agent-based model for cooperation dynamics.

Bio Systems·2026
Same journal

Coherent Photonic Biofields: Revisiting Fritz-Albert Popp's Hypothesis.

Bio Systems·2026
Same journal

Ruliological Resilience: Pattern Restoration and Robustness in Wolfram Patterns. A Basis for Regeneration, Not Just in Cone Shells?

Bio Systems·2026
Same journal

The quantum-to-classical transducer: A thermodynamic and quantum mechanical framework for the emergence of bioenergetics.

Bio Systems·2026
See all related articles

Landscape structure significantly impacts termite foraging. Simulating Coptotermes formosanus Shiraki foraging territories revealed that ideal landscapes yield the largest territories, while fractal landscapes show complex responses to heterogeneity.

Area of Science:

  • Ecology
  • Computational Biology
  • Entomology

Background:

  • Understanding termite foraging behavior is crucial for pest management.
  • Landscape structure can influence resource exploitation by insects.

Purpose of the Study:

  • To simulate and analyze how different landscape structures affect the foraging territory of the Formosan subterranean termite (Coptotermes formosanus Shiraki).
  • To investigate the impact of landscape heterogeneity, seasonality, and obstacles on termite foraging patterns.

Main Methods:

  • A lattice model was developed to simulate termite foraging territories.
  • Three landscape types (ideal, random, fractal) were generated with varying transition probabilities (P(trans)).
  • Environmental variables including seasonal cycles and obstacle density were incorporated.

Related Experiment Videos

Main Results:

  • Territory size was largest in ideal landscapes, followed by random, and then fractal landscapes.
  • Increased obstacle density led to a decrease in territory size.
  • In fractal landscapes, territory size exhibited a non-monotonic response to increasing heterogeneity (H).

Conclusions:

  • Landscape structure is a key determinant of termite foraging territory size and shape.
  • The fractal dimension of a landscape significantly influences foraging efficiency, with complex interactions.
  • Management strategies should consider landscape characteristics to control termite spread.