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פותח על ידי קלירמאש פתרונות בע"מ -
Spatio-temporal population dynamics and area-wide delineation of Bactrocera oleae monitoring zones using multi-variate geostatistics
Year:
2012
Authors :
כהן, יפית
;
.
נסטל, דוד
;
.
Volume :
13
Co-Authors:
Castrignanò, A., Agricultural Research Council, Research Unit for Cropping Systems in Dry Environments, Via Celso Ulpiani, 5, 70125 Bari, Italy
Boccaccio, L., Agricultural Research Council, Research Unit for Cropping Systems in Dry Environments, Via Celso Ulpiani, 5, 70125 Bari, Italy
Cohen, Y., Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, P.O. Box 6, 50250 Bet-Dagan, Israel
Nestel, D., Institute of Plant Protection, Volcani Center, P.O. Box 6, 50250 Bet-Dagan, Israel
Kounatidis, I., Department of Genetics, Development and Molecular Biology, School of Biology, Faculty of Sciences, Aristotle University of Thessaloniki (AUTH), 541 24 Thessaloniki, Greece
Papadopoulos, N.T., Department of Agriculture, Crop Production and Rural Environment, University of Thessaly, 382 21 Volos, Greece
de Benedetto, D., Agricultural Research Council, Research Unit for Cropping Systems in Dry Environments, Via Celso Ulpiani, 5, 70125 Bari, Italy
Mavragani-Tsipidou, P., Department of Genetics, Development and Molecular Biology, School of Biology, Faculty of Sciences, Aristotle University of Thessaloniki (AUTH), 541 24 Thessaloniki, Greece
Facilitators :
From page:
421
To page:
441
(
Total pages:
21
)
Abstract:
Area-wide integrated pest management requires an understanding of insect population dynamics and definition of suitable techniques to quantify spatio-temporal variability to make better pest management decisions. However, the viability of area-wide integrated pest management has often been questioned because of the high monitoring costs. The present study aimed to: (i) analyse the spatial and temporal dynamics of the olive fruit fly over a large olive growing area (Ormylia, Greece), and (ii) define a methodology to determine monitoring zones to optimize the monitoring effort over space and time in area-wide integrated pest management programmes. Data from an olive fruit fly monitoring network based on McPhail traps were utilized. The multi-variate spatial (elevation) and temporal (6 periods) data of olive fruit fly population density were analysed by principal component analysis, co-kriging and factor kriging to produce thematic maps and to delineate monitoring zones. Olive fruit fly density was spatially correlated from 200 to 4 000 m. The spatial pattern changed over the monitoring season. Areas with high density of olive fruit flies shifted from high altitudes in summer to lower altitudes towards autumn. Three recommended levels of monitoring intensity were defined, thus delineating homogeneous monitoring zones for summer (July to September) and October. It was concluded that delineating monitoring zones through multi-variate geostatistics is a suitable approach for optimising the monitoring effort, because population density distribution is spatially structured over large areas and changes over time. © 2012 Springer Science+Business Media, LLC.
Note:
Related Files :
Area-wide pest management
fly
Geostatistics
integrated pest management
kriging
optimization
population density
עוד תגיות
תוכן קשור
More details
DOI :
10.1007/s11119-012-9259-4
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
28282
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:38
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Scientific Publication
Spatio-temporal population dynamics and area-wide delineation of Bactrocera oleae monitoring zones using multi-variate geostatistics
13
Castrignanò, A., Agricultural Research Council, Research Unit for Cropping Systems in Dry Environments, Via Celso Ulpiani, 5, 70125 Bari, Italy
Boccaccio, L., Agricultural Research Council, Research Unit for Cropping Systems in Dry Environments, Via Celso Ulpiani, 5, 70125 Bari, Italy
Cohen, Y., Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, P.O. Box 6, 50250 Bet-Dagan, Israel
Nestel, D., Institute of Plant Protection, Volcani Center, P.O. Box 6, 50250 Bet-Dagan, Israel
Kounatidis, I., Department of Genetics, Development and Molecular Biology, School of Biology, Faculty of Sciences, Aristotle University of Thessaloniki (AUTH), 541 24 Thessaloniki, Greece
Papadopoulos, N.T., Department of Agriculture, Crop Production and Rural Environment, University of Thessaly, 382 21 Volos, Greece
de Benedetto, D., Agricultural Research Council, Research Unit for Cropping Systems in Dry Environments, Via Celso Ulpiani, 5, 70125 Bari, Italy
Mavragani-Tsipidou, P., Department of Genetics, Development and Molecular Biology, School of Biology, Faculty of Sciences, Aristotle University of Thessaloniki (AUTH), 541 24 Thessaloniki, Greece
Spatio-temporal population dynamics and area-wide delineation of Bactrocera oleae monitoring zones using multi-variate geostatistics
Area-wide integrated pest management requires an understanding of insect population dynamics and definition of suitable techniques to quantify spatio-temporal variability to make better pest management decisions. However, the viability of area-wide integrated pest management has often been questioned because of the high monitoring costs. The present study aimed to: (i) analyse the spatial and temporal dynamics of the olive fruit fly over a large olive growing area (Ormylia, Greece), and (ii) define a methodology to determine monitoring zones to optimize the monitoring effort over space and time in area-wide integrated pest management programmes. Data from an olive fruit fly monitoring network based on McPhail traps were utilized. The multi-variate spatial (elevation) and temporal (6 periods) data of olive fruit fly population density were analysed by principal component analysis, co-kriging and factor kriging to produce thematic maps and to delineate monitoring zones. Olive fruit fly density was spatially correlated from 200 to 4 000 m. The spatial pattern changed over the monitoring season. Areas with high density of olive fruit flies shifted from high altitudes in summer to lower altitudes towards autumn. Three recommended levels of monitoring intensity were defined, thus delineating homogeneous monitoring zones for summer (July to September) and October. It was concluded that delineating monitoring zones through multi-variate geostatistics is a suitable approach for optimising the monitoring effort, because population density distribution is spatially structured over large areas and changes over time. © 2012 Springer Science+Business Media, LLC.
Scientific Publication
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