Spatial Distribution of Forensically Significant Blow Flies in Subfamily Luciliinae (Diptera: Calliphoridae), Chiang Mai Province, Northern Thailand: Observations and Modeling Using GIS
Blow flies of the subfamily Luciliinae (Diptera: Calliphoridae) are one of the main forensically important subfamilies globally. In addition to being used to estimate the minimum post-mortem interval (PMI<sub>min</sub>), assuming colonization occurred after death, blow fly specimens foun...
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MDPI AG
2018-12-01
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Series: | Insects |
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Online Access: | https://www.mdpi.com/2075-4450/9/4/181 |
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Article |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tunwadee Klong-klaew Ratchadawan Ngoen-klan Kittikhun Moophayak Kom Sukontason Kim N. Irvine Jeffery K. Tomberlin Hiromu Kurahashi Theeraphap Chareonviriyaphap Pradya Somboon Kabkaew L. Sukontason |
spellingShingle |
Tunwadee Klong-klaew Ratchadawan Ngoen-klan Kittikhun Moophayak Kom Sukontason Kim N. Irvine Jeffery K. Tomberlin Hiromu Kurahashi Theeraphap Chareonviriyaphap Pradya Somboon Kabkaew L. Sukontason Spatial Distribution of Forensically Significant Blow Flies in Subfamily Luciliinae (Diptera: Calliphoridae), Chiang Mai Province, Northern Thailand: Observations and Modeling Using GIS Insects <i>Lucilia</i> <i>Hemipyrellia</i> prediction spatial distribution Thailand |
author_facet |
Tunwadee Klong-klaew Ratchadawan Ngoen-klan Kittikhun Moophayak Kom Sukontason Kim N. Irvine Jeffery K. Tomberlin Hiromu Kurahashi Theeraphap Chareonviriyaphap Pradya Somboon Kabkaew L. Sukontason |
author_sort |
Tunwadee Klong-klaew |
title |
Spatial Distribution of Forensically Significant Blow Flies in Subfamily Luciliinae (Diptera: Calliphoridae), Chiang Mai Province, Northern Thailand: Observations and Modeling Using GIS |
title_short |
Spatial Distribution of Forensically Significant Blow Flies in Subfamily Luciliinae (Diptera: Calliphoridae), Chiang Mai Province, Northern Thailand: Observations and Modeling Using GIS |
title_full |
Spatial Distribution of Forensically Significant Blow Flies in Subfamily Luciliinae (Diptera: Calliphoridae), Chiang Mai Province, Northern Thailand: Observations and Modeling Using GIS |
title_fullStr |
Spatial Distribution of Forensically Significant Blow Flies in Subfamily Luciliinae (Diptera: Calliphoridae), Chiang Mai Province, Northern Thailand: Observations and Modeling Using GIS |
title_full_unstemmed |
Spatial Distribution of Forensically Significant Blow Flies in Subfamily Luciliinae (Diptera: Calliphoridae), Chiang Mai Province, Northern Thailand: Observations and Modeling Using GIS |
title_sort |
spatial distribution of forensically significant blow flies in subfamily luciliinae (diptera: calliphoridae), chiang mai province, northern thailand: observations and modeling using gis |
publisher |
MDPI AG |
series |
Insects |
issn |
2075-4450 |
publishDate |
2018-12-01 |
description |
Blow flies of the subfamily Luciliinae (Diptera: Calliphoridae) are one of the main forensically important subfamilies globally. In addition to being used to estimate the minimum post-mortem interval (PMI<sub>min</sub>), assuming colonization occurred after death, blow fly specimens found infesting a human corpse are used to determine if the corpse was relocated or if the individual ingested narcotics prior to death. The presence of these blow flies in a given area is strongly influenced by abiotic and biotic factors, such as temperature, elevation, and habitat. Having this information, along with geographical distributions and the characteristics of preferred habitats, is necessary to better understand the biology of this group. This study aimed to characterize the spatial distribution of Luciliinae throughout 18 sampling sites within six ecozones (disturbed mixed deciduous forest, mixed deciduous forest, mixed orchard, paddy field, lowland village, and city/town) in central Chiang Mai Province, northern Thailand over one year (May 2009⁻May 2010). The purpose of the study was to elucidate the relationship of blow fly species composition with environmental abiotic factors (e.g., temperature, relative humidity, light intensity), and to predict the distribution of the common species within this subfamily using GIS. Adult collections were performed biweekly, baited with one-day-old beef offal. A total of 2331 Luciliinae flies trapped, comprising eight species, of which the four predominant species were <i>Hemipyrellia ligurriens</i> (Wiedemann) (<i>n</i> = 1428; 61.3%), <i>Lucilia porphyrina</i> (Walker) (<i>n</i> = 381; 16.3%), <i>Hemipyrellia pulchra</i> (Wiedemann) (<i>n</i> = 293; 12.6%), and <i>Lucilia papuensis</i> Macquart (<i>n</i> = 129; 5.5%). Population density across species varied seasonally, peaking in August 2009 coinciding with the rainy season. Predicting population composition was based on a model developed with ArcGIS 9.2, which utilized environmental variables (temperature, relative humidity, and light intensity) in conjunction with abundance data. Models indicated <i>H. ligurriens</i> had the most widespread geographic distribution, while <i>H. pulchra</i> was predicted to occur largely in mixed orchards and lowland villages. <i>Lucilia porphyrina</i> and <i>L. papuensis</i> were less widespread, restricted mainly to mixed deciduous forest. This model, along with knowledge of forensic information, may be useful under certain investigations where the corpse may have been relocated. |
topic |
<i>Lucilia</i> <i>Hemipyrellia</i> prediction spatial distribution Thailand |
url |
https://www.mdpi.com/2075-4450/9/4/181 |
work_keys_str_mv |
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doaj-b873bd60171840e3b39d3169b5ac30b32020-11-24T22:52:32ZengMDPI AGInsects2075-44502018-12-019418110.3390/insects9040181insects9040181Spatial Distribution of Forensically Significant Blow Flies in Subfamily Luciliinae (Diptera: Calliphoridae), Chiang Mai Province, Northern Thailand: Observations and Modeling Using GISTunwadee Klong-klaew0Ratchadawan Ngoen-klan1Kittikhun Moophayak2Kom Sukontason3Kim N. Irvine4Jeffery K. Tomberlin5Hiromu Kurahashi6Theeraphap Chareonviriyaphap7Pradya Somboon8Kabkaew L. Sukontason9Department of Parasitology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, ThailandDepartment of Entomology, Faculty of Agriculture, Kasetsart University, Bangkok 10900, ThailandMahidol University, Nakhonsawan Campus, Nakhonsawan 60130, ThailandDepartment of Parasitology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, ThailandNational Institute of Education, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, SingaporeDepartment of Entomology, Texas A&M University, 2475 TAMU, College Station, TX 77843, USADepartment of Medical Entomology, National Institute of Infectious Diseases, Tokyo 162-8640, JapanDepartment of Entomology, Faculty of Agriculture, Kasetsart University, Bangkok 10900, ThailandDepartment of Parasitology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, ThailandDepartment of Parasitology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, ThailandBlow flies of the subfamily Luciliinae (Diptera: Calliphoridae) are one of the main forensically important subfamilies globally. In addition to being used to estimate the minimum post-mortem interval (PMI<sub>min</sub>), assuming colonization occurred after death, blow fly specimens found infesting a human corpse are used to determine if the corpse was relocated or if the individual ingested narcotics prior to death. The presence of these blow flies in a given area is strongly influenced by abiotic and biotic factors, such as temperature, elevation, and habitat. Having this information, along with geographical distributions and the characteristics of preferred habitats, is necessary to better understand the biology of this group. This study aimed to characterize the spatial distribution of Luciliinae throughout 18 sampling sites within six ecozones (disturbed mixed deciduous forest, mixed deciduous forest, mixed orchard, paddy field, lowland village, and city/town) in central Chiang Mai Province, northern Thailand over one year (May 2009⁻May 2010). The purpose of the study was to elucidate the relationship of blow fly species composition with environmental abiotic factors (e.g., temperature, relative humidity, light intensity), and to predict the distribution of the common species within this subfamily using GIS. Adult collections were performed biweekly, baited with one-day-old beef offal. A total of 2331 Luciliinae flies trapped, comprising eight species, of which the four predominant species were <i>Hemipyrellia ligurriens</i> (Wiedemann) (<i>n</i> = 1428; 61.3%), <i>Lucilia porphyrina</i> (Walker) (<i>n</i> = 381; 16.3%), <i>Hemipyrellia pulchra</i> (Wiedemann) (<i>n</i> = 293; 12.6%), and <i>Lucilia papuensis</i> Macquart (<i>n</i> = 129; 5.5%). Population density across species varied seasonally, peaking in August 2009 coinciding with the rainy season. Predicting population composition was based on a model developed with ArcGIS 9.2, which utilized environmental variables (temperature, relative humidity, and light intensity) in conjunction with abundance data. Models indicated <i>H. ligurriens</i> had the most widespread geographic distribution, while <i>H. pulchra</i> was predicted to occur largely in mixed orchards and lowland villages. <i>Lucilia porphyrina</i> and <i>L. papuensis</i> were less widespread, restricted mainly to mixed deciduous forest. This model, along with knowledge of forensic information, may be useful under certain investigations where the corpse may have been relocated.https://www.mdpi.com/2075-4450/9/4/181<i>Lucilia</i><i>Hemipyrellia</i>predictionspatial distributionThailand |