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פותח על ידי קלירמאש פתרונות בע"מ -
Modeling insect population fluctuations with satellite land surface temperature
Year:
2015
Source of publication :
Ecological Modelling
Authors :
נסטל, דוד
;
.
Volume :
311
Co-Authors:
Blum, M., Department of Geography and Environment, Bar-Ilan University, Ramat-Gan, Israel
Lensky, I.M., Department of Geography and Environment, Bar-Ilan University, Ramat-Gan, Israel
Rempoulakis, P., Department of Entomology, Agricultural Research Organization, The Volcani Center, PO Box 6, Bet Dagan, Israel
Nestel, D., Department of Entomology, Agricultural Research Organization, The Volcani Center, PO Box 6, Bet Dagan, Israel
Facilitators :
From page:
39
To page:
47
(
Total pages:
9
)
Abstract:
The simulation of insect pest populations in agricultural and forest ecosystems is an important and useful tool for integrated pest management (IPM). Insect population models are mainly driven by environmental temperature data, which are usually collected from agrometeorological stations or derived from geographic statistical extrapolations. The present study describes the modeling of olive fly (. Bactrocera oleae) populations in the Eastern Mediterranean region using the MODIS (Moderate Resolution Image Spectro Radiometer) land surface temperature (LST) product from NASA TERRA satellite. These data, together with in situ temperature data, were used to estimate the tree-canopy temperatures at the pixel resolution (1. km). The estimated canopy temperature was used as input for the olive fly population model. Our main aim was to demonstrate the use of satellite-acquired information for modelling biological and ecological phenomena. Eleven years (2001-2012) of olive fly population fluctuations were simulated for three different geographic locations, representing different geo-climatic conditions. The model successfully simulated the seasonal population fluctuations throughout the 11-year period and did a good job of connecting all of the life stages of the insect. To evaluate the validity of these findings, we compared them with adult olive-fly trapping data. We observed a high degree of correlation between the trapping data and our model's predictions. Here, we demonstrate that satellite thermal data can be used to predict insect pest population fluctuations for IPM purposes. The study also advances some new modelling concepts, such as the "window of opportunity" which links physiological development with chronological age. © 2015 Elsevier B.V.
Note:
Related Files :
agrometeorology
Ecology
ecosystems
integrated pest management
pest control
Surface properties
trapping
עוד תגיות
תוכן קשור
More details
DOI :
10.1016/j.ecolmodel.2015.05.005
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
20555
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:37
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Scientific Publication
Modeling insect population fluctuations with satellite land surface temperature
311
Blum, M., Department of Geography and Environment, Bar-Ilan University, Ramat-Gan, Israel
Lensky, I.M., Department of Geography and Environment, Bar-Ilan University, Ramat-Gan, Israel
Rempoulakis, P., Department of Entomology, Agricultural Research Organization, The Volcani Center, PO Box 6, Bet Dagan, Israel
Nestel, D., Department of Entomology, Agricultural Research Organization, The Volcani Center, PO Box 6, Bet Dagan, Israel
Modeling insect population fluctuations with satellite land surface temperature
The simulation of insect pest populations in agricultural and forest ecosystems is an important and useful tool for integrated pest management (IPM). Insect population models are mainly driven by environmental temperature data, which are usually collected from agrometeorological stations or derived from geographic statistical extrapolations. The present study describes the modeling of olive fly (. Bactrocera oleae) populations in the Eastern Mediterranean region using the MODIS (Moderate Resolution Image Spectro Radiometer) land surface temperature (LST) product from NASA TERRA satellite. These data, together with in situ temperature data, were used to estimate the tree-canopy temperatures at the pixel resolution (1. km). The estimated canopy temperature was used as input for the olive fly population model. Our main aim was to demonstrate the use of satellite-acquired information for modelling biological and ecological phenomena. Eleven years (2001-2012) of olive fly population fluctuations were simulated for three different geographic locations, representing different geo-climatic conditions. The model successfully simulated the seasonal population fluctuations throughout the 11-year period and did a good job of connecting all of the life stages of the insect. To evaluate the validity of these findings, we compared them with adult olive-fly trapping data. We observed a high degree of correlation between the trapping data and our model's predictions. Here, we demonstrate that satellite thermal data can be used to predict insect pest population fluctuations for IPM purposes. The study also advances some new modelling concepts, such as the "window of opportunity" which links physiological development with chronological age. © 2015 Elsevier B.V.
Scientific Publication
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