Next Article in Journal
Experimental Manipulation of Dispersal Ability in A Neotropical Butterfly Anartia fatima (Lepidoptera: Nymphalidae)
Next Article in Special Issue
Spotted Wing Drosophila in Sweet Cherry Orchards in Relation to Forest Characteristics, Bycatch, and Resource Availability
Previous Article in Journal
Phenotypic Plasticity Promotes Overwintering Survival in A Globally Invasive Crop Pest, Drosophila suzukii
Article Menu

Export Article

Open AccessArticle
Insects 2018, 9(3), 106;

Predicting Geographic Distribution of Forensically Significant Blow Flies of Subfamily Chrysomyinae (Diptera: Calliphoridae) in Northern Thailand

Department of Parasitology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
Department of Entomology, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand
Nakhonsawan Campus, Mahidol University, Nakhonsawan 60130, Thailand
National Institute of Education, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore
Department of Entomology, Texas A&M University, 2475 TAMU, College Station, TX 77843, USA
Department of Medical Entomology, National Institute of Infectious Diseases, Tokyo 162-8640, Japan
Author to whom correspondence should be addressed.
Received: 11 July 2018 / Revised: 8 August 2018 / Accepted: 17 August 2018 / Published: 21 August 2018
(This article belongs to the Special Issue Insect Population Dynamics: Theory & Practice)
Full-Text   |   PDF [2272 KB, uploaded 23 August 2018]   |  


Blow flies (Diptera: Calliphoridae) are carrion-breeding flies that are commonly used as evidence in forensic investigation. An adequate knowledge of ecological and geographical data of blow fly has a direct application in forensic science, as far as estimating time of colonization or corpse relocation. The aim of this study was to evaluate the occurrence of four species of Chrysomyinae (Chrysomya pinguis, Chrysomya chani, Chrysomya villeneuvi, and Ceylonomyia nigripes) across six land use types in central Chiang Mai, northern Thailand. Eighteen study sites were selected for sampling across three districts of Chiang Mai province (Mueang Chiang Mai, Mae Rim, and Hang Dong). Adult flies were collected every two weeks using a funnel trap baited with 1-day tainted beef offal. The predicted geographic distributions of forensically important blow fly species were modeled using the computer program ArcGIS, based on selected climatic variables (temperature, relative humidity, and light intensity) recorded at study sites. During the study period, 1298 adult flies were collected, with peak fly occurrence during summer (April–May). Seasonal fluctuation patterns varied depending on fly species. Climatic factors displayed diverse impact on associated fly populations. Identified species were restricted mainly to mixed deciduous forests (MDF) especially in the mountainous area. None of these flies were trapped in an urban area. View Full-Text
Keywords: spatial distribution; predictive distribution; GIS; forensic entomology spatial distribution; predictive distribution; GIS; forensic entomology

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Klong-klaew, T.; Ngoen-klan, R.; Moophayak, K.; Sukontason, K.; Irvine, K.N.; Tomberlin, J.K.; Somboon, P.; Chareonviriyaphap, T.; Kurahashi, H.; Sukontason, K.L. Predicting Geographic Distribution of Forensically Significant Blow Flies of Subfamily Chrysomyinae (Diptera: Calliphoridae) in Northern Thailand. Insects 2018, 9, 106.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Insects EISSN 2075-4450 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top