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作 者:PAN Song PENG De-liang LI Ying-mei CHEN Zhi-jie ZHAI Ying-yan LIU Chen HONG Bo
机构地区:[1]Shaanxi Key Laboratory of Plant Nematology,Bio-Agriculture Institute of Shaanxi,Shaanxi Academy of Sciences,Xi’an 710043,P.R.China [2]State Key Laboratory for Biology of Plant Diseases and Insect Pests,Institute of Plant Protection,Chinese Academy of Agricultural Sciences,Beijing 100193,P.R.China
出 处:《Journal of Integrative Agriculture》2023年第7期2138-2150,共13页农业科学学报(英文版)
基 金:supported by the Key R&D Project of Shaanxi Province,China(2020ZDLNY07-06);the Science and Technology Program of Shaanxi Academy of Sciences(2022k-11).
摘 要:In recent years,Meloidogyne enterolobii has emerged as a major parasitic nematode infesting many plants in tropical or subtropical areas.However,the regions of potential distribution and the main contributing environmental variables for this nematode are unclear.Under the current climate scenario,we predicted the potential geographic distributions of M.enterolobii worldwide and in China using a Maximum Entropy(MaxEnt)model with the occurrence data of this species.Furthermore,the potential distributions of M.enterolobii were projected under three future climate scenarios(BCC-CSM2-MR,CanESM5 and CNRM-CM6-1)for the periods 2050s and 2090s.Changes in the potential distribution were also predicted under different climate conditions.The results showed that highly suitable regions for M.enterolobii were concentrated in Africa,South America,Asia,and North America between latitudes 30°S to 30°N.Bio16(precipitation of the wettest quarter),bio10(mean temperature of the warmest quarter),and bio11(mean temperature of the coldest quarter)were the variables contributing most in predicting potential distributions of M.enterolobii.In addition,the potential suitable areas for M.enterolobii will shift toward higher latitudes under future climate scenarios.This study provides a theoretical basis for controlling and managing this nematode.
关 键 词:Meloidogyne enterolobii species distribution model MAXENT climate change future climate scenarios centroid change
分 类 号:S436.67[农业科学—农业昆虫与害虫防治]
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