Modeling and mapping the current and future distribution of Pseudomonas syringae pv. actinidiae under climate change in China.

ABSTRACT:

Objective

Bacterial canker of kiwifruit caused by Pseudomonas syringae pv. actinidiae (Psa) is a major threat to the kiwifruit industry throughout the world and accounts for substantial economic losses in China. The aim of the present study was to test and explore the possibility of using MaxEnt (maximum entropy models) to predict and analyze the future large-scale distribution of Psa in China.

Method

Based on the current environmental factors, three future climate scenarios, which were suggested by the fifth IPCC report, and the current distribution sites of Psa, MaxEnt combined with ArcGIS was applied to predict the potential suitable areas and the changing trend of Psa in China. The jackknife test and correlation analysis were used to choose dominant climatic factors. The

SUBMITTER: Wang R 

PROVIDER: S-EPMC5794145 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature