Content area

Abstract

Seasonal variations are important components in understanding the ecology of insect population of crops. Ecological studies through modeling may be a useful tool for enhancing knowledge of seasonal patterns of insects on field crops as well as seasonal patterns of favorable climatic conditions for species. Recently CLIMEX, a semi-mechanistic niche model, was upgraded and enhanced to consider spatio-temporal dynamics of climate suitability through time. In this study, attempts were made to determine monthly variations of climate suitability for Neoleucinodes elegantalis (Guenée) (Lepidoptera: Crambidae) in five commercial tomato crop localities through the latest version of CLIMEX. We observed that N. elegantalis displays seasonality with increased abundance in tomato crops during summer and autumn, corresponding to the first 6 months of the year in monitored areas in this study. Our model demonstrated a strong accord between the CLIMEX weekly growth index (GIw) and the density of N. elegantalis for this period, thus indicating a greater confidence in our model results. Our model shows a seasonal variability of climatic suitability for N. elegantalis and provides useful information for initiating methods for timely management, such as sampling strategies and control, during periods of high degree of suitability for N. elegantalis. In this study, we ensure that the simulation results are valid through our verification using field data.

Details

Title
Spatio-temporal dynamic climate model for Neoleucinodes elegantalis using CLIMEX
Author
Da Silva, Ricardo Siqueira 1 ; Kumar, Lalit 2 ; Shabani, Farzin 2 ; Da Silva, Ezio Marques 3 ; Da Silva Galdino, Tarcisio Visintin 4 ; Picanço, Marcelo Coutinho 5 

 Departamento de Fitotecnia, Universidade Federal de Viçosa, Viçosa, MG, Brazil; Ecosystem Management, School of Environmental and Rural Science, University of New England, Armidale, NSW, Australia 
 Ecosystem Management, School of Environmental and Rural Science, University of New England, Armidale, NSW, Australia 
 Instituto de Ciências Agrárias, Universidade Federal de Viçosa, Campus de Rio Paranaíba, MG, Brazil 
 Departamento de Fitotecnia, Universidade Federal de Viçosa, Viçosa, MG, Brazil 
 Departamento de Fitotecnia, Universidade Federal de Viçosa, Viçosa, MG, Brazil; Departamento de Entomologia, Universidade Federal de Viçosa, Viçosa, MG, Brazil 
Pages
785-795
Publication year
2017
Publication date
May 2017
Publisher
Springer Nature B.V.
ISSN
0020-7128
e-ISSN
1432-1254
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1899614304
Copyright
International Journal of Biometeorology is a copyright of Springer, 2017.