Predicting the geographical distribution of Glycaspis brimblecombei (Hemiptera: Psylloidea) in Brazil. Issue 1 (5th December 2012)

• Record Type: Journal Article
• Authors: de, Dalva Luiz; Majer, Jonathan; Burckhardt, Daniel; Zanetti, Ronald; Fernandez, Jaime Ivan R; de, Elisiane Castro; Garrastazu, Marilice; Fernandes, Bianca Vique; dos, Norivaldo
• Is Part Of: Australian journal of entomology. Volume 52:Issue 1(2013:Feb.)
• Page Start: 20
• Page End: 30
• Publication Date: 2012-12-05
• Subjects: Entomology -- Australia -- Periodicals; Entomology -- Periodicals; 595.7
• DOI: 10.1111/aen.12001
• Languages: English
• ISSNs: 1326-6756

Abstract

<abstract abstract-type="main"> <title>Abstract</title> <p>The red gum lerp psyllid, <italic>Glycaspis brimblecombei</italic> Moore, has been introduced from Australia into several countries, mostly in the Americas and Europe. It was first discovered in Brazil in 2003 and has continued to spread there. Today, the species is a major pest in eucalypt plantations and often requires expensive control measures. Ecological modelling is used here to estimate the potential spread of <italic>G. brimblecombeii</italic>, worldwide and particularly in Brazil, based on environmental variables from 502 records of <italic>G. brimblecombei</italic> around the world. Distribution data from Australia were obtained from the literature and recent field surveys. For the first time, <italic>G. brimblecombei</italic> is recorded from Western Australia. Through the Openmodeller® program interface, 22 bioclimatic variables were used to test the efficacy of the following models: BIOCLIM, Climate Space Model, Envelope Score, Environmental Distance, GARP with best subsets (new Openmodeller implementation), GARP new Openmodeller implementation, GARP best subsets (Desktop GARP implementation), Niche Mosaic and Support Vector Machines. Among these models, Environmental Distance was the best predictor for the potential distribution of <italic>G. brimblecombei</italic> in new regions. Temperate areas appeared to be more favourable for <italic>G. brimblecombei</italic>. Regions with highest probability of occurrence in Brazil, in hierarchical order are: the southern part of the Atlantic Forest, Pampa, Caatinga and Cerrado. This modelling procedure provides a useful tool that should be incorporated in future strategies for pest management in eucalypt plantations.</p> </abstract>