Importance of vegetation index in codling moth Cydia pomonella distribution modeling
Codling moth, Cydia pomonella L. (Lepidoptera: Tortricidae) is the key insect pest of apple orchards in Iran. This study was conducted in the main apple-growing regions of East Azarbaijan Province to generate potential habitat suitability maps of C. pomonella using MaxEnt modeling and to determine t...
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| Format: | Article |
| Language: | English |
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University of Tabriz
2023-03-01
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| Series: | پژوهش های کاربردی در گیاهپزشکی |
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| Online Access: | https://arpp.tabrizu.ac.ir/article_16077_3586ac7573e0fbdf3c8f24853815cf18.pdf |
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| author | Hakimeh Shayestehmehr Roghaiyeh Karimzadeh Bakhtiar Feizizadeh Shahzad Iranipour |
| author_facet | Hakimeh Shayestehmehr Roghaiyeh Karimzadeh Bakhtiar Feizizadeh Shahzad Iranipour |
| author_sort | Hakimeh Shayestehmehr |
| collection | DOAJ |
| description | Codling moth, Cydia pomonella L. (Lepidoptera: Tortricidae) is the key insect pest of apple orchards in Iran. This study was conducted in the main apple-growing regions of East Azarbaijan Province to generate potential habitat suitability maps of C. pomonella using MaxEnt modeling and to determine the importance of vegetation index in improving the accuracy of these models. Field surveys for collecting the occurrence data of codling moth were conducted during three growing seasons, 2017 - 2019. The activity of codling moth adult males was monitored using delta-shaped traps baited with female sex pheromone. Fifteen environmental variables were considered as potential predictors for estimating codling moth distribution. These variables were categorized into topographic, climatic, and remote sensing variables. A MaxEnt modeling algorithm was used to predict the distribution of codling moth. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC). By using the topographic, climatic, and topographic+climatic variables, the AUC values were 0.840, 0.951, and 0.938, respectively. The model including normalized difference vegetation index (NDVI) had the highest AUC value (0.99), which strongly supports model predictive power and indicates the importance of vegetation index in codling moth distribution modeling. NDVI was the most contributed variable in the model followed by precipitation of September, slope, minimum temperature of May, and mean temperature of April. The distribution map obtained in MaxEnt provides an important tool for identifying potential risk zones of codling moth. This map can assist managers in forecasting and planning control measures and therefore, effective management of current infestations of codling moth. |
| first_indexed | 2024-03-13T03:10:53Z |
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| id | doaj.art-7b7c9844f21641c2bf1b9cff82545d3e |
| institution | Directory Open Access Journal |
| issn | 2383-1855 2717-3178 |
| language | English |
| last_indexed | 2024-03-13T03:10:53Z |
| publishDate | 2023-03-01 |
| publisher | University of Tabriz |
| record_format | Article |
| series | پژوهش های کاربردی در گیاهپزشکی |
| spelling | doaj.art-7b7c9844f21641c2bf1b9cff82545d3e2023-06-26T12:09:16ZengUniversity of Tabrizپژوهش های کاربردی در گیاهپزشکی2383-18552717-31782023-03-01121274110.22034/arpp.0621.1607716077Importance of vegetation index in codling moth Cydia pomonella distribution modelingHakimeh Shayestehmehr0Roghaiyeh Karimzadeh1Bakhtiar Feizizadeh2Shahzad Iranipour3Department of Plant Protection, Faculty of Agriculture, University of Tabriz, Tabriz, IranDepartment of Plant Protection, Faculty of Agriculture, University of Tabriz, Tabriz, IranDepartment of Remote Sensing & GIS, Faculty of Planning and Environmental Sciences, University of Tabriz, Tabriz, IranDepartment of Plant Protection, Faculty of Agriculture, University of Tabriz, Tabriz, IranCodling moth, Cydia pomonella L. (Lepidoptera: Tortricidae) is the key insect pest of apple orchards in Iran. This study was conducted in the main apple-growing regions of East Azarbaijan Province to generate potential habitat suitability maps of C. pomonella using MaxEnt modeling and to determine the importance of vegetation index in improving the accuracy of these models. Field surveys for collecting the occurrence data of codling moth were conducted during three growing seasons, 2017 - 2019. The activity of codling moth adult males was monitored using delta-shaped traps baited with female sex pheromone. Fifteen environmental variables were considered as potential predictors for estimating codling moth distribution. These variables were categorized into topographic, climatic, and remote sensing variables. A MaxEnt modeling algorithm was used to predict the distribution of codling moth. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC). By using the topographic, climatic, and topographic+climatic variables, the AUC values were 0.840, 0.951, and 0.938, respectively. The model including normalized difference vegetation index (NDVI) had the highest AUC value (0.99), which strongly supports model predictive power and indicates the importance of vegetation index in codling moth distribution modeling. NDVI was the most contributed variable in the model followed by precipitation of September, slope, minimum temperature of May, and mean temperature of April. The distribution map obtained in MaxEnt provides an important tool for identifying potential risk zones of codling moth. This map can assist managers in forecasting and planning control measures and therefore, effective management of current infestations of codling moth.https://arpp.tabrizu.ac.ir/article_16077_3586ac7573e0fbdf3c8f24853815cf18.pdfspecies distributionniche modelingrisk mappest managementforecasting |
| spellingShingle | Hakimeh Shayestehmehr Roghaiyeh Karimzadeh Bakhtiar Feizizadeh Shahzad Iranipour Importance of vegetation index in codling moth Cydia pomonella distribution modeling پژوهش های کاربردی در گیاهپزشکی species distribution niche modeling risk map pest management forecasting |
| title | Importance of vegetation index in codling moth Cydia pomonella distribution modeling |
| title_full | Importance of vegetation index in codling moth Cydia pomonella distribution modeling |
| title_fullStr | Importance of vegetation index in codling moth Cydia pomonella distribution modeling |
| title_full_unstemmed | Importance of vegetation index in codling moth Cydia pomonella distribution modeling |
| title_short | Importance of vegetation index in codling moth Cydia pomonella distribution modeling |
| title_sort | importance of vegetation index in codling moth cydia pomonella distribution modeling |
| topic | species distribution niche modeling risk map pest management forecasting |
| url | https://arpp.tabrizu.ac.ir/article_16077_3586ac7573e0fbdf3c8f24853815cf18.pdf |
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