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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) ; 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 |
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Appears in Collections: | Journal Article |
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