Combining inferential and deductive approaches to estimate the potential geographical range of the invasive plant pathogen, Phytophthora ramorum

PLoS One. 2013 May 7;8(5):e63508. doi: 10.1371/journal.pone.0063508. Print 2013.

Abstract

Phytophthora ramorum, an invasive plant pathogen of unknown origin, causes considerable and widespread damage in plant industries and natural ecosystems of the USA and Europe. Estimating the potential geographical range of P. ramorum has been complicated by a lack of biological and geographical data with which to calibrate climatic models. Previous attempts to do so, using either invaded range data or surrogate species approaches, have delivered varying results. A simulation model was developed using CLIMEX to estimate the global climate suitability patterns for establishment of P. ramorum. Growth requirements and stress response parameters were derived from ecophysiological laboratory observations and site-level transmission and disease factors related to climate data in the field. Geographical distribution data from the USA (California and Oregon) and Norway were reserved from model-fitting and used to validate the models. The model suggests that the invasion of P. ramorum in both North America and Europe is still in its infancy and that it is presently occupying a small fraction of its potential range. Phytophthora ramorum appears to be climatically suited to large areas of Africa, Australasia and South America, where it could cause biodiversity and economic losses in plant industries and natural ecosystems with susceptible hosts if introduced.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Africa
  • Australasia
  • Climate
  • Ecosystem
  • Europe
  • Geography*
  • Introduced Species*
  • Models, Biological
  • North America
  • Phytophthora / physiology*
  • Plants / microbiology*
  • Software
  • South America

Grants and funding

The authors would like to acknowledge the support of the Australian Government’s Cooperative Research Centres Program and the Cooperative Research Centre for National Plant Biosecurity in particular. We also acknowledge the financial support of the Australian Government Department of Sustainability, Environment, Water, Population and Communities and the School of Biological Sciences at Murdoch University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.