4.5 Article

Ambrosia pollen source inventory for Italy: a multi-purpose tool to assess the impact of the ragweed leaf beetle (Ophraella communa LeSage) on populations of its host plant

期刊

INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
卷 62, 期 4, 页码 597-608

出版社

SPRINGER
DOI: 10.1007/s00484-017-1469-z

关键词

Aerobiology; Atmosphere-biosphere analysis; Digital elevation model; Ecosystem analysis; Invasive weed; Species distribution maps

资金

  1. EU COST Action [FA1203]
  2. COST [COST-STSM-FA1203-020215-053027, COST-STSM-FA1203-20573, COST-STSM-FA1203-250415-058150]
  3. Ministry of Science Republic of Serbia [OI173002, III43006]
  4. Swiss National Science Foundation [IZ73Z0_152348]
  5. European Commission [CIG631745]
  6. Swiss National Science Foundation (SNF) [IZ73Z0_152348] Funding Source: Swiss National Science Foundation (SNF)

向作者/读者索取更多资源

Here, we produce Ambrosia pollen source inventories for Italy that focuses on the periods before and after the accidental introduction of the Ophraella communa beetle. The inventory uses the top-down approach that combines the annual Ambrosia pollen index from a number of monitoring stations in the source region as well as Ambrosia ecology, local knowledge of Ambrosia infestation and detailed land cover information. The final inventory is gridded to a 5 x 5-km resolution using a stereographic projection. The sites with the highest European Infection levels were recorded in the north of Italy at Busto Arsizio (VA3) (European Infection level 2003-2014 = 52.1) and Magenta (MI7) (European Infection level 2003-2014 = 51.3), whereas the sites with the lowest (i.e. around 0.0) were generally located to the south of the country. Analysis showed that the European Infection level in all of Italy was significantly lower in 2013-2014 compared to 2003-2012, and this decrease was even more pronounced at the sites in the area where Ophraella communa was distributed. Cross-validations show that the sensitivity to the inclusion of stations is typically below 1% (for two thirds of the stations) and that the station Magenta (MI7) had the largest impact compared to all other stations. This is the first time that pollen source inventories from different temporal periods have been compared in this way and has implications for simulating interannual variations in pollen emission as well as evaluating the management of anemophilous plants like Ambrosia artemisiifolia.

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