Invasive alien ants(IAAs)are among the most aggressive,competitive,and widespread invasive alien species(IAS)worldwide.Wasmannia auropunctata,the greatest IAAs threat in the Pacific region and listed in“100 of the wo...Invasive alien ants(IAAs)are among the most aggressive,competitive,and widespread invasive alien species(IAS)worldwide.Wasmannia auropunctata,the greatest IAAs threat in the Pacific region and listed in“100 of the world’s worst IAS”,has established itself in many countries and on islands worldwide.Wild populations of W.auropunctata were recently reported in southeastern China,representing a tremendous potential threat to China’s agricultural,economic,environmental,public health,and social well-being.Estimating the potential geographical distribution(PGD)of W.auropunctata in China can illustrate areas that may potentially face invasion risk.Therefore,based on the global distribution records of W.auropunctata and bioclimatic variables,we predicted the geographical distribution pattern of W.auropunctata in China under the effects of climate change using an ensemble model(EM).Our findings showed that artificial neural network(ANN),flexible discriminant analysis(FDA),gradient boosting model(GBM),Random Forest(RF)were more accurate than categorical regression tree analysis(CTA),generalized linear model(GLM),maximum entropy model(MaxEnt)and surface distance envelope(SRE).The mean TSS values of ANN,FDA,GBM,and RF were 0.820,0.810,0.843,and 0.857,respectively,and the mean AUC values were 0.946,0.954,0.968,and 0.979,respectively.The mean TSS and AUC values of EM were 0.882 and 0.972,respectively,indicating that the prediction results with EM were more reliable than those with the single model.The PGD of W.auropunctata in China is mainly located in southern China under current and future climate change.Under climate change,the PGD of W.auropunctata in China will expand to higher-latitude areas.The annual temperature range(bio7)and mean temperature of the warmest quarter(bio10)were the most significant variables affecting the PGD of W.auropunctata in China.The PGD of W.auropunctata in China was mainly attributed to temperature variables,such as the annual temperature range(bio7)and the mean temperature of the warmest quarter(bio10).The populations of W.auropunctata in southern China have broad potential invasion areas.Developing strategies for the early warning,monitoring,prevention,and control of W.auropunctata in southern China requires more attention.展开更多
小火蚁Wasmannia auropunctata原产于新热带地区,被世界自然保护联盟(International Union for Conservation of Nature,IUCN)列为全球最具威胁的入侵物种之一。2022年,小火蚁在广东汕头地区首次被发现,成为中国内地一种新发现的重大外...小火蚁Wasmannia auropunctata原产于新热带地区,被世界自然保护联盟(International Union for Conservation of Nature,IUCN)列为全球最具威胁的入侵物种之一。2022年,小火蚁在广东汕头地区首次被发现,成为中国内地一种新发现的重大外来入侵有害生物。为实现快速、准确鉴定小火蚁,本研究采用形态学方法对小火蚁标本进行分析,编译了沃氏蚁属Wasmannia 10种工蚁和10种蚁后的检索表,并利用DNA条形码技术对形态学鉴定结果进行了验证。本研究为小火蚁的准确鉴定提供了重要的技术参考。展开更多
基金supported by the National Key R&D Program of China(2021YFC2600400)the Technology Innovation Program of the Chinese Academy of Agricultural Sciences(caascx-2017-2022-IAS)the Key R&D Program of Yunnan Province,China(202103AF140007)。
文摘Invasive alien ants(IAAs)are among the most aggressive,competitive,and widespread invasive alien species(IAS)worldwide.Wasmannia auropunctata,the greatest IAAs threat in the Pacific region and listed in“100 of the world’s worst IAS”,has established itself in many countries and on islands worldwide.Wild populations of W.auropunctata were recently reported in southeastern China,representing a tremendous potential threat to China’s agricultural,economic,environmental,public health,and social well-being.Estimating the potential geographical distribution(PGD)of W.auropunctata in China can illustrate areas that may potentially face invasion risk.Therefore,based on the global distribution records of W.auropunctata and bioclimatic variables,we predicted the geographical distribution pattern of W.auropunctata in China under the effects of climate change using an ensemble model(EM).Our findings showed that artificial neural network(ANN),flexible discriminant analysis(FDA),gradient boosting model(GBM),Random Forest(RF)were more accurate than categorical regression tree analysis(CTA),generalized linear model(GLM),maximum entropy model(MaxEnt)and surface distance envelope(SRE).The mean TSS values of ANN,FDA,GBM,and RF were 0.820,0.810,0.843,and 0.857,respectively,and the mean AUC values were 0.946,0.954,0.968,and 0.979,respectively.The mean TSS and AUC values of EM were 0.882 and 0.972,respectively,indicating that the prediction results with EM were more reliable than those with the single model.The PGD of W.auropunctata in China is mainly located in southern China under current and future climate change.Under climate change,the PGD of W.auropunctata in China will expand to higher-latitude areas.The annual temperature range(bio7)and mean temperature of the warmest quarter(bio10)were the most significant variables affecting the PGD of W.auropunctata in China.The PGD of W.auropunctata in China was mainly attributed to temperature variables,such as the annual temperature range(bio7)and the mean temperature of the warmest quarter(bio10).The populations of W.auropunctata in southern China have broad potential invasion areas.Developing strategies for the early warning,monitoring,prevention,and control of W.auropunctata in southern China requires more attention.
文摘小火蚁Wasmannia auropunctata原产于新热带地区,被世界自然保护联盟(International Union for Conservation of Nature,IUCN)列为全球最具威胁的入侵物种之一。2022年,小火蚁在广东汕头地区首次被发现,成为中国内地一种新发现的重大外来入侵有害生物。为实现快速、准确鉴定小火蚁,本研究采用形态学方法对小火蚁标本进行分析,编译了沃氏蚁属Wasmannia 10种工蚁和10种蚁后的检索表,并利用DNA条形码技术对形态学鉴定结果进行了验证。本研究为小火蚁的准确鉴定提供了重要的技术参考。
