This paper presents 3 years of GIS-based monitoring of western corn rootworm (WCR – Diabrotica virgifera virgifera LeConte), a pest which invaded Northern Italy in 1998. The Veneto Region established a regional monitoring network to detect this important quarantine pest and to employ an eradication programme. Data were collected by means of sex pheromone PAL traps and analysed by Indicator Kriging, a geostatistics tool that determines the probability of data values in a given area being greater than a defined threshold value. Geostatistical analysis proved to be effective in mapping the spread of WCR. The temporal sequence of the probability maps was useful in interpreting the expansion of the insect. The detailed description of the pattern of WCR presence in 2006–2008 proves the temporary and local efficacy of the eradication programme carried out up to the 2006 season in Venezia province. An interpretation of the spatial pattern of WCR between the 2006 and 2008 seasons suggests that the pest colonized the eradication area coming from other invasion fronts. The large-scale pattern of WCR dispersion can be accurately described by the spatial approach, thus optimizing the monitoring and subsequent control of this important insect pest of Northern Italy. Other data analyses, based on stochastic interpolations and a demographical approach are in progress. An interesting perspective would be to build predictive simulation models based on climatic and agronomic data taking into account the spatial representation of WCR patterns.
Results of WCR monitoring plans and evaluation of an eradication programme using GIS and Indicator Kriging
DE LUIGI, VALENTINO;BURGIO, GIOVANNI
2011
Abstract
This paper presents 3 years of GIS-based monitoring of western corn rootworm (WCR – Diabrotica virgifera virgifera LeConte), a pest which invaded Northern Italy in 1998. The Veneto Region established a regional monitoring network to detect this important quarantine pest and to employ an eradication programme. Data were collected by means of sex pheromone PAL traps and analysed by Indicator Kriging, a geostatistics tool that determines the probability of data values in a given area being greater than a defined threshold value. Geostatistical analysis proved to be effective in mapping the spread of WCR. The temporal sequence of the probability maps was useful in interpreting the expansion of the insect. The detailed description of the pattern of WCR presence in 2006–2008 proves the temporary and local efficacy of the eradication programme carried out up to the 2006 season in Venezia province. An interpretation of the spatial pattern of WCR between the 2006 and 2008 seasons suggests that the pest colonized the eradication area coming from other invasion fronts. The large-scale pattern of WCR dispersion can be accurately described by the spatial approach, thus optimizing the monitoring and subsequent control of this important insect pest of Northern Italy. Other data analyses, based on stochastic interpolations and a demographical approach are in progress. An interesting perspective would be to build predictive simulation models based on climatic and agronomic data taking into account the spatial representation of WCR patterns.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
