Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/20940
Title: Spatio-temporal dynamic climate model for Neoleucinodes elegantalis using CLIMEX
Contributor(s): da Silva, Ricardo Siqueira (author); Kumar, Lalit (author)orcid ; Shabani, Farzin (author); da Silva, Ezio Marques (author); da Silva Galdino, Tarcisio Visintin (author); Picanco, Marcelo Coutinho (author)
Publication Date: 2017
DOI: 10.1007/s00484-016-1256-2
Handle Link: https://hdl.handle.net/1959.11/20940
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.
Publication Type: Journal Article
Source of Publication: International Journal of Biometeorology, 61(5), p. 785-795
Publisher: Springer
Place of Publication: Germany
ISSN: 1432-1254
0020-7128
Field of Research (FOR): 050101 Ecological Impacts of Climate Change
050204 Environmental Impact Assessment
090903 Geospatial Information Systems
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Statistics to Oct 2018: Visitors: 60
Views: 115
Downloads: 0
Appears in Collections:Journal Article

Files in This Item:
2 files
File Description SizeFormat 
Show full item record

SCOPUSTM   
Citations

2
checked on Nov 26, 2018

Page view(s)

100
checked on Feb 7, 2019
Google Media

Google ScholarTM

Check

Altmetric

SCOPUSTM   
Citations

 

WEB OF SCIENCETM
Citations

 

Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.