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); Picanço, 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
Fields of Research (FoR) 2008: 050101 Ecological Impacts of Climate Change
050204 Environmental Impact Assessment
090903 Geospatial Information Systems
Fields of Research (FoR) 2020: 410102 Ecological impacts of climate change and ecological adaptation
410402 Environmental assessment and monitoring
401302 Geospatial information systems and geospatial data modelling
Socio-Economic Objective (SEO) 2008: 960305 Ecosystem Adaptation to Climate Change
960302 Climate Change Mitigation Strategies
960301 Climate Change Adaptation Measures
Socio-Economic Objective (SEO) 2020: 190102 Ecosystem adaptation to climate change
190301 Climate change mitigation strategies
190101 Climate change adaptation measures (excl. ecosystem)
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article

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