Conference PaperPDF Available

Species composition of Tetranychoidea (Acari: Trombidiformes: Prostigmata) in seven parks of Tehran, Iran

Authors:
... This pest was firstly reported on cassava (Skovgård et al. 1993;Navajas et al. 1994;De Moraes et al. 1995;Bonato & Gutierrez 1996;Nukenine et al. 2002;Robinson 2005;Lu et al. 2012). Ghasemi Moghadam et al. (2013) recorded this genus for the first time from Iran, but there is no information on its biology in the country. Temperature seasonality, precipitation of wettest months, precipitation seasonality and altitude were the variables that most influenced the Mononychellus sp. ...
... Tetranychus ludeni occurs in all continents and widely distributed in the tropics, which has been recorded from more than 300 plant species (Zhang et al. 2002;Adango et al. 2006;Mendonça et al. 2011). It was also reported from Tehran by Ghasemi Moghadam et al. (2013). Mean diurnal range, isothermality, mean temperature of driest quarter and annual precipitation were considered as the important factors in distribution of T. ludeni. ...
Article
Full-text available
Tetranychoid communities from urban landscapes of Tehran area were compared in 2012. The landscapes covering two main climates of Tehran Province and the related regions were mostly planted with Ulmus, Platanus, Ficus and Morus trees. A total of 259 mite specimens, belonging to two families, were collected. Cenopalpus meyerae was the dominant species in Lavizan Forest Park, Qeytariyeh, Taleqani, Laleh, Besat and Golbon parks with 96.1%, 89.6%, 85.72%, 64.86%, 40% and 32%, respectively, while in Chitgar Forest Park, Tetranychus urticae and C. meyerae had the highest dominancy with 40%. Among the species, C. meyerae, Tetranychus sp., T. urticae and Eotetranychus sp. were found in most of parks. Eutetranychus orientalis, Eu. africanus and Eutetranychus sp. were only found in Golbon Park with mainly ornamental plants; and Mononychellus sp. occurred occurred in Laleh Park and only found on Ficus species. Modelling of ecological niches by support vector machines method showed the most suitable areas for each species. Accuracy of the model according to maximum Kappa value and the area under the receiver operating characteristic curve values were high.
ResearchGate has not been able to resolve any references for this publication.