Journal of Basic and Applied Zoology (May 2021)

Predicting the geographic distribution habitats of Schizomyia buboniae (Diptera: Cecidomyiidae) and its host plant Deverra tortuosa (Apiaceae) in Egypt by using MaxEnt modeling

  • Mohamed Kamel,
  • Ahmed S. Bream,
  • Mohamed M. Moursy,
  • Sanad H. Ragab

DOI
https://doi.org/10.1186/s41936-021-00226-x
Journal volume & issue
Vol. 82, no. 1
pp. 1 – 13

Abstract

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Abstract Background In some localities of the Mediterranean coast and the Nile land region, the gall midge Schizomyia buboniae Frauenfeld, 1859 (Diptera: Cecidomyiidae) induce small barrel-shaped galls on the stem of Deverra tortuosa (Desf.) DC. (Family: Apiaceae). Host plants interact with several insects in a different manner. The current work studies the interaction of S. buboniae with D. tortuosa. Furthermore, the present work predicted the distribution of S. buboniae and its host plant D. tortuosa in Egypt by using MaxEnt modeling, in addition to the effect of elevation and vegetation cover on its distribution. Results The predominance of S. buboniae occurred during late winter to spring. The S. buboniae larvae are occasionally attacked by endoparasitoids of the genus Inostemma (Platygastridae). There was a significant positive correlation between the number of galls per plant and the plant cover within the study localities. Meanwhile, there was no significant correlation between the number of galls per plant and the altitude within the study localities. Also, the high temperature and altitude were the most important predictors for the habitat distribution of S. buboniae and its host plant D. tortuosa. The predicted distribution range size for S. buboniae is less than the total predicted distribution range size for D. tortuosa. Conclusions The current study suggests that the gall inducer prefers large plants more than small ones. The present study suggests that the habitat distribution patterns of S. buboniae and its host plant D. tortuosa in Egypt can be modeled using a small number of occurrence records together with environmental variable layers for the study area through the maximum entropy modeling technique.

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