Spatial Analysis for Pest Management in Tuscany

• Autor(a) principal: Marziali,Lorenzo
• Data de Publicação: 2011
• Outros Autores: Marianelli,Leonardo, Bagnoli,Marco, Roversi,Pio Federico
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://scielo.pt/scielo.php?script=sci_arttext&pid=S0870-63522011000200016
• topic: Matsucoccus feytaudi Ducasse; Thaumetopoea processionea; monitoring; spatial analysis

Within the META project (Extensive Monitoring System of Tuscan Forests) a monitoring campaign has been carried out since 2000 aimed at producing an historical database and map, gathering knowledge on the updated phytosanitary status of the Tuscan forests of Italy. The aim of the present work was to study both population levels and trends among insect pests, in order to foresee new outbreaks of two very damaging forest pests, i.e., the maritime pine bast scale, Matsucoccus feytaudi Duc. (Hom. Coccoidea Margarodidae), and the oak moth processionary, Thaumetopoea processionea (L.) (Lep. Thaumetopoeidae). Monitoring the pine bast scale by pheromone traps got data on its diffusion by means of many georeferenced observation points. This data has been spatialized by the "Thiessen Polygons algorithm" and analyzed by the "Least Accumulative Distance method" to obtain a forecasting map. Monitoring of the oak processionary was done by collecting oak twigs with both new and old egg masses; its population dynamics were analised by a trend index (IT). Data was spatialized by means of "Inverse Distance Weighted Interpolation System" (IDW). The data led to the forecasting of infestation levels. Maps obtained by these spatial analyses are presently used in forest pest management in Tuscany.