Predictive distribution of Aculus schlechtendali (Acari: Eriophyidae) in southern Brazil

• Published in: International journal of acarology Vol. 47; no. 1; pp. 70 - 73
• Main Authors: Costa Corrêa, Luiz Liberato, Silva, Darliane Evangelho, Nascimento, Joseane Moreira do, Oliveira, Stefan Vilges, Ferla, Noeli Juarez
• Format: Journal Article
• Language: English
• Published: Philadelphia Taylor & Francis Ltd 02-01-2021
• Subjects: Algorithms; Bioclimatology; Economic importance; Geographical distribution; Prediction models; Species; Brazil
• ISSN: 0164-7954; 1945-3892
• DOI: 10.1080/01647954.2020.1870548

The potential (predictive) distribution modelling is a forecasting tool for species distribution, using occurrence records and correlating them with the interaction of algorithms and environmental variables. Aculus schlechtendali (Nalepa) is a phytophagous mite of economic importance, associated with losses in apple trees. The present study aimed to predict the potential distribution of A. schlechtendali in southern Brazil. Available information on species occurrence in Brazil was compiled in the database of previous reports and additional data from the Laboratory of Acarology – Univates. The MaxEnt algorithm and bioclimatic variables (from Bio1 to Bio19) were used to limit the predictive model. Current records of A. schlechtendali have indicated that it is present in 17 sites, among the states of Rio Grande do Sul, Santa Catarina, and Paraná; the major producers of apple in Brazil. The most significant bioclimatic variables evaluated were Mean Temperature of the Coldest Quarter (Bio11) and Annual Mean Temperature (Bio1). Using the modelling tool, areas with environmental suitability for this mite were predicted and established in southern Brazil. These results benefit apple agricultural chain, guiding the farmers in mite management, seeking mechanisms to prevent the establishment of this species in the areas indicated as suitable for their occupation.