These spatial layers contain risk factors and overall risk scores, representing relative risk of Phytophthora infection (Phytophthora ramorum and P. kernoviae), for Core Native Woodland and known larch fragments across Scotland. Risk factors include climate suitability, proximity to road and river networks and suitability of habitat for key hosts of Phytophthora and were broadly concurrent with the period between 2007 and 2013. This research was funded by the Scottish Government under research contract CR/2008/55, 'Study of the epidemiology of Phytophthora ramorum and Phytophthora kernoviae in managed gardens and heathlands in Scotland' and involved collaborators from St Andrews University, Science and Advice for Scottish Agriculture (SASA), Scottish Natural Heritage (SNH), Forestry Commission, the Food and Environment Research Agency (FERA) and the Centre for Ecology & Hydrology (CEH).
Publication date: 2016-07-07
This dataset is part of the following
Risk factors were extracted and summarised for Core Native Woodland and Larch fragments, and included habitat suitability for the principal sporulation host, Rhododendron ponticum, and predicted abundance for the additional host, Vaccinium myrtillus, climatic suitability for growth and sporulation, proximity to inspected garden or trade premises, proximity to infected premises, and proximity to larch and infected larch. Final weighting for risk factors were agreed with partners for the final calculation of risk scores. Newly developed methods for modelling habitat suitability of invasive species were used to predict habitat suitability for the invasive shrub Rhododendron ponticum.A suite of climate, soil, biotic and abiotic factors were used to predict percent cover for Vaccinium myrtillus. Data on outbreaks in 2011, 2012 and up to May 2013 were provided by SASA and locations of larch infections up to April 2013 were provided by the Forestry Commission. A small proportion of core native woodland fragments were missing data for climate and Vaccinium myrtillus habitat suitability. Adam Butler from Biomathematics and Statistics Scotland (BioSS) provided statistical advice for habitat suitability modelling.