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Part 4 Climate Matching. Climate Matching. Unlike other NAPPFAST models, climate matching creates models from the observed distribution of the pest not from biological or experimental data.
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Part 4 Climate Matching
Climate Matching • Unlike other NAPPFAST models, climate matching creates models from the observed distribution of the pest not from biological or experimental data. • Climate matching works well for weeds but for arthropods or pathogens there is insufficient observations. • Observations can be obtained from taxonomic portals such as the Global Biodiversity Information Facility.
Climate Matching • Simple climate matching procedure similar to BIOCLIM. • Climate envelope defines habitat space within 1.28 standard deviations of average for each variable. • Weather data is based on a 32 K NCEP grid includes 12+ climate variables • The climate match is expressed as a percentage of the total years x total variables for each pixel. Beaumont et al 2005 Ecological modeling
Climate Matching Variables (1) annual values of extreme minimum temperature, (2) extreme maximum temperature, (3) annual number of frost free days, (4) annual degree days, (5) annual precipitation, (6) annual Potential Evapotraspiration (PET), (7) average temperature of the three warmest months in the year, (8) PET for the 3-month period found in 7, and (9) precipitation for the period found in 7.
Climate Matching Procedure • Search for species observations in GBIF • Format the observations data • Compile a configuration file to select variables • Submit to ZedX (offline) • Wait for products
Products • Map of observed locations • Map of predicted zones • Quality control statistics • Percent accuracy (all, withheld) • Number of observations/ Number of continental regions • Average date of observations • Area projections for US
Acacia decurrens home.vicnet.net.au
Acacia decurrens Australian herbarium
Kikuyu grass Australian Herbaria Calflora www.tropicalgrasslands.asn.au
Kikuyu grass Australian Herbaria Calflora