Seasonal forecasting of Bactrocera dorsalis Hendel, 1912 (Diptera: Tephritidae) in bioclimatic zones of Sri Lanka using the SARIMA model

Abstract Bactrocera dorsalis Hendel is a severe fruit pest that causes significant economic losses globally. Despite B. dorsalis having been distributed mostly across Asia, studies on its current and future density variation in Sri Lanka are sparse to date. The present study was thus carried out to...

Full description

Saved in:
Bibliographic Details
Main Authors: W. M. C. D. Wijekoon, G. A. S. M. Ganehiarachchi, H. C. E. Wegiriya, S. P. Vidanage
Format: Article
Language:English
Published: CABI 2024-04-01
Series:CABI Agriculture and Bioscience
Subjects:
Online Access:https://doi.org/10.1186/s43170-024-00241-2
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832557586612748288
author W. M. C. D. Wijekoon
G. A. S. M. Ganehiarachchi
H. C. E. Wegiriya
S. P. Vidanage
author_facet W. M. C. D. Wijekoon
G. A. S. M. Ganehiarachchi
H. C. E. Wegiriya
S. P. Vidanage
author_sort W. M. C. D. Wijekoon
collection DOAJ
description Abstract Bactrocera dorsalis Hendel is a severe fruit pest that causes significant economic losses globally. Despite B. dorsalis having been distributed mostly across Asia, studies on its current and future density variation in Sri Lanka are sparse to date. The present study was thus carried out to assess the contemporary density variation (2020–2022) and future density fluctuation (2023–2025) of B. dorsalis in bioclimatic zones of Sri Lanka. The density was assessed using the monthly-based fruit fly trap collection method from randomly selected 40 locations in all bioclimatic zones (wet, intermediate, dry, and arid). The SARIMA modelling technique was applied for delineating the best-fit model and for density forecasting in each bioclimatic zone. The density variations were depicted for the year and for the bioclimatic zone (2020–2025) by colour intensity maps using QGIS. According to the findings, B. dorsalis shows a seasonal component to its year-round density variation and an ascending trend in its density from 2020 to 2025. Density forecasting records a 20%, 30%, 26%, and 37% density increase in the wet, intermediate, dry, and arid zones, respectively, in 2025. In 2025, the highest predicted B. dorsalis density from the arid zone and the lowest predicted density from the wet zone were recorded. This study contains the first forecasting attempt for B. dorsalis density using the SARIMA approach as well as the application of colour-intensity depiction for its density variation in Sri Lanka, which leads decision makers and stakeholders in economic agriculture to plan the scientific management of B. dorsalis to avoid its current and potential future threat to the country’s fruit industry.
format Article
id doaj-art-86048b3e25814a578527ef62168e6088
institution Kabale University
issn 2662-4044
language English
publishDate 2024-04-01
publisher CABI
record_format Article
series CABI Agriculture and Bioscience
spelling doaj-art-86048b3e25814a578527ef62168e60882025-02-03T04:07:38ZengCABICABI Agriculture and Bioscience2662-40442024-04-015111310.1186/s43170-024-00241-2Seasonal forecasting of Bactrocera dorsalis Hendel, 1912 (Diptera: Tephritidae) in bioclimatic zones of Sri Lanka using the SARIMA modelW. M. C. D. Wijekoon0G. A. S. M. Ganehiarachchi1H. C. E. Wegiriya2S. P. Vidanage3Department of Zoology, University of RuhunaDepartment of Zoology and Environmental Management, University of KelaniyaDepartment of Zoology, University of RuhunaDepartment of Zoology and Environmental Management, University of KelaniyaAbstract Bactrocera dorsalis Hendel is a severe fruit pest that causes significant economic losses globally. Despite B. dorsalis having been distributed mostly across Asia, studies on its current and future density variation in Sri Lanka are sparse to date. The present study was thus carried out to assess the contemporary density variation (2020–2022) and future density fluctuation (2023–2025) of B. dorsalis in bioclimatic zones of Sri Lanka. The density was assessed using the monthly-based fruit fly trap collection method from randomly selected 40 locations in all bioclimatic zones (wet, intermediate, dry, and arid). The SARIMA modelling technique was applied for delineating the best-fit model and for density forecasting in each bioclimatic zone. The density variations were depicted for the year and for the bioclimatic zone (2020–2025) by colour intensity maps using QGIS. According to the findings, B. dorsalis shows a seasonal component to its year-round density variation and an ascending trend in its density from 2020 to 2025. Density forecasting records a 20%, 30%, 26%, and 37% density increase in the wet, intermediate, dry, and arid zones, respectively, in 2025. In 2025, the highest predicted B. dorsalis density from the arid zone and the lowest predicted density from the wet zone were recorded. This study contains the first forecasting attempt for B. dorsalis density using the SARIMA approach as well as the application of colour-intensity depiction for its density variation in Sri Lanka, which leads decision makers and stakeholders in economic agriculture to plan the scientific management of B. dorsalis to avoid its current and potential future threat to the country’s fruit industry.https://doi.org/10.1186/s43170-024-00241-2Fruit fliesDensityFuture predictionAsia
spellingShingle W. M. C. D. Wijekoon
G. A. S. M. Ganehiarachchi
H. C. E. Wegiriya
S. P. Vidanage
Seasonal forecasting of Bactrocera dorsalis Hendel, 1912 (Diptera: Tephritidae) in bioclimatic zones of Sri Lanka using the SARIMA model
CABI Agriculture and Bioscience
Fruit flies
Density
Future prediction
Asia
title Seasonal forecasting of Bactrocera dorsalis Hendel, 1912 (Diptera: Tephritidae) in bioclimatic zones of Sri Lanka using the SARIMA model
title_full Seasonal forecasting of Bactrocera dorsalis Hendel, 1912 (Diptera: Tephritidae) in bioclimatic zones of Sri Lanka using the SARIMA model
title_fullStr Seasonal forecasting of Bactrocera dorsalis Hendel, 1912 (Diptera: Tephritidae) in bioclimatic zones of Sri Lanka using the SARIMA model
title_full_unstemmed Seasonal forecasting of Bactrocera dorsalis Hendel, 1912 (Diptera: Tephritidae) in bioclimatic zones of Sri Lanka using the SARIMA model
title_short Seasonal forecasting of Bactrocera dorsalis Hendel, 1912 (Diptera: Tephritidae) in bioclimatic zones of Sri Lanka using the SARIMA model
title_sort seasonal forecasting of bactrocera dorsalis hendel 1912 diptera tephritidae in bioclimatic zones of sri lanka using the sarima model
topic Fruit flies
Density
Future prediction
Asia
url https://doi.org/10.1186/s43170-024-00241-2
work_keys_str_mv AT wmcdwijekoon seasonalforecastingofbactroceradorsalishendel1912dipteratephritidaeinbioclimaticzonesofsrilankausingthesarimamodel
AT gasmganehiarachchi seasonalforecastingofbactroceradorsalishendel1912dipteratephritidaeinbioclimaticzonesofsrilankausingthesarimamodel
AT hcewegiriya seasonalforecastingofbactroceradorsalishendel1912dipteratephritidaeinbioclimaticzonesofsrilankausingthesarimamodel
AT spvidanage seasonalforecastingofbactroceradorsalishendel1912dipteratephritidaeinbioclimaticzonesofsrilankausingthesarimamodel