Manuscript Abstract

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. Iqbal1*, S. Saeed1 and I. A. Rajwana2

1Department of Entomology, Muhammad Nawaz Shareef University of Agriculture Multan 60000, Pakistan

2Department of Horticulture, Muhammad Nawaz Shareef University of Agriculture Multan 60000, Pakistan

Corresponding Author: naeem.iqbal@mnsuam.edu.pk
Page Number(s): 921-932
Published Online First: March 08, 2026
Publication Date: May 05, 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.
Open Access: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).


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