Agrometeorology and models for the parasite cycle forecast.
Insects are strongly influenced by meteorological variables in their natural environment. In agriculture, mathematical models have been developed to understand and forecast the cycle of pests based on climate data. By this manner, with the goal of reduce and rationalize plant chemical treatments, agrometeorological models have been realized to estimate the length and starting times of parasites phenological phases. In Sicily a new network of 95 GSM meteorological stations and a specific mathematical model for Aonidiella aurantii are used by Sicilian Agrometeorological Information System (SIAS) for the integrated pest management program of citrus orchards in the Island. As the plants parasites, vector borne diseases are influenced by climate in their appearance and abundance. In lights of the benefits that could derive from a model for the control of Leishmania vectors, SIAS experiences in modelling were used to develop a deductive model for Phlebotomus perniciosus which represents the major vector of human and canine leishmaniasis in Sicily.
Pasotti
L
L
Regione Sicilia, Servizio Informativo Agrometeorologico Siciliano, Catania, Italy.
Maroli
M
M
Giannetto
S
S
Brianti
E
E
D000383:Agriculture; D000465:Algorithms; D000818:Animals; D001042:Aphids / Q000502:physiology*; D002957:Citrus / Q000469:parasitology*; D004283:Dog Diseases / Q000196:embryology / Q000453:epidemiology / Q000469:parasitology; D004285:Dogs; D006801:Humans; D007303:Insect Vectors / Q000469:parasitology* / Q000502:physiology; D007896:Leishmaniasis / Q000453:epidemiology* / Q000635:transmission / Q000662:veterinary; D008018:Life Cycle Stages; D008685:Meteorological Concepts; D008962:Models, Theoretical; D010691:Phlebotomus / Q000469:parasitology* / Q000502:physiology; D012802:Sicily / Q000453:epidemiology; D013696:Temperature