Japoshvili, G და Fallahzadeh, M და Mumladze, Levan (2015) Predictive modeling for better understanding distribution and systematics of useful encyrtids (Hymenoptera: Chalcidoidea: Encyrtidae). Annals of Agrarian Science, 13 (1). С. 33-42. ISSN 1512-1887
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ტექსტი
Japoshvili, Fallahzadeh, Mumladze - 2015 - Predictive modeling for better understanding distribution and systematics of useful encyrtids.pdf Download (1MB) | გადახედვა |
რეზიუმე
Using a Maximum Entropy (Maxent) approach based on climate variables (~5 km resolution) we constructed predictive distribution models (PDM) of climate niches for eight encyrtid species (Anagyrus pseudococci (Girault), A. aligarhensis Agarwal and Alam, A. dactylopii (Howard), A. sp. nr. pseudococci, Syrphophagus aphidivorus (Mayr), Ageniaspis fuscicollis (Dalman), Discodes coccophagus (Ratzeburg), Cerapterocerus mirabilis Westwood (Hymenoptera: Chalcidoidea, Encyrtidae)) – all of them important in biological control as case studies for PDM. Models successfully predicted all of the known distribution for each species and identifi ed additional suitable areas where each species could be used as a biological control agent. The results show that all the modeled species are highly associated with temperature variables. The mean annual temperature, minimal temperature of coldest month and isothermality are the most important determinants for the distribution of encyrtids. These parameters (and all other bioclimatic variables in general) are not fully independent and may confound the interpretation of variable importance. Modeling results showed that the distribution range of A. sp. nr. pseudococci falls within the ranges of two other Anagyrus species, except the extreme southeast, which could be the bias caused by improper taxon sampling. Here, we suggest that A. sp.nr. pseudococci should be considered as a synonym of A. dactylopii (Howard). In this study we show relatively fast and simple ways of using PDM for encyrtid species in the biological control planning and solving of taxonomic problems.
| ობიექტის ტიპი: | სტატია |
|---|---|
| თემატიკა: | Q Science > Ecology Q Science > QL Zoology |
| ქვეგანყოფილება: | Institutes > Institute of Ecology Institutes > Institute of Zoology |
| განმათავსებელი მომხმარებელი: | Dr ლევან მუმლაძე |
| განთავსების თარიღი: | 23 მარტი 2016 07:24 |
| ბოლო ცვლილება: | 23 მარტი 2016 07:24 |
| URI: | http://eprints.iliauni.edu.ge/id/eprint/4296 |
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