Article Abstract

Volume 36, No. (3), 2026 (June)
ASSESSING POPULATION ESTIMATION TECHNIQUES FOR ODONTOTERMES TERMITES AT VARIOUS LOCATIONS IN MULTAN, PAKISTAN
Hafiza Tahira Gul, Naeem Iqbal, Shafqat Saeed, Ishtiaq A. Rajwana

H. T. Gul¹, N. Iqbal²*, S. Saeed³, I. A. Rajwana⁴

¹ Institute of Plant Protection, Muhammad Nawaz Shareef University of Agriculture, Multan, Pakistan,
² Institute of Plant Protection, Muhammad Nawaz Shareef University of Agriculture, Multan, Pakistan,
³ Institute of Plant Protection, Muhammad Nawaz Shareef University of Agriculture, Multan, Pakistan,
⁴ Muhammad Nawaz Shareef University of Agriculture, Multan,

Corresponding Author: naeem.iqbal@mnsuam.edu.pk
Published Online First: March 08, 2026
ABSTRACT

Termites are important soil dwelling insects known for their severe economic losses to agriculture, forestry, timber and construction sectors. Accurate estimation of termite colony population is critical for evaluating the efficacy of management strategies at a given site. Present study involved estimating the population of a fungus growing termite, Odontotermes spp. at three contrasting sites (urban, semi-urban, and agricultural areas) in District Multan, Pakistan. For this purpose, two contrasting techniques were applied: mark-recapture and constant removal methods (regression and maximum likelihood). The results indicated that mark-recapture yielded higher estimates at agriculture site (1851376) followed by urban (948153.45) and semi-urban site (737816.73). The constant removal technique yielded higher population estimates at semi-urban site (16932.36 by regression method and 10118.73 by maximum likelihood method) while the lowest estimates (9580.67-13670) were calculated at agriculture site by both constant removal methods. The findings will be helpful to explore population distribution pattern across different ecological zones and seasons, and study implications for termite management at different sites.

Keywords: Constant removal estimate; fungus-growing termites, Odontotermes; population estimation; mark recapture; various habitats.

Indexing

Web of Science (SCIE)

SCOPUS (Q3)

Status

Journal Metrics

Journal Impact Factor: 0.5 | (JCR Year: 2025) | Cite Score: 1.3

HEC Category: W

Current

ISSN Details

Print ISSN: 1018-7081

Electronic ISSN: 2309-8694

Verified
Search the Journal

Use the fields below to search for articles by Title, Author, or Keywords.