应用生态学报2017，Vol.28Issue(6)：1833-1842,10.DOI:10.13287/j.1001-9332.201706.017
基于MaxEnt模型的黄河三角洲滨海湿地优势植物群落潜在分布模拟
Predicting the potential distribution of dominant species of the coastal wetland in the Yellow River Delta, China using MaxEnt model
摘要
Abstract
Soil and vegetation community were investigated using the method of kilometer grid sampiing.In addition,using the maximum entropy (MaxEnt) and the GIS spatial analysis technique,the potential distribution of dominant species in the Yellow River Delta and their major environmental variables and ecological parameters were quantitatively analyzed.The results showed that the dominant species of the coastal wetland were Tamarix chinensis,Phragmites australis and Suaeda salsa in the Yellow River Delta.Among the environmental variables,six variables were significant contributors to the potential distribution model of T.chinensis:NO3--N,salt,slope,Mg,altitude and NH4+-N.The environmental variables influencing the distribution of P.australis were NO3--N,salt,TP,pH,altitude and NH4+-N.NO3--N,salt and NH4+-N were the significant factors determining the potential distribution of S.salsa.The probability of presence of dominant species of the coastal wetland in the Yellow River Delta was positively correlated with salt,but it was negatively correlated with the other major environmental variables.The model predicted that the core potential distribution of dominant species in the Yellow River Delta was mainly in the coastal areas.In addition,P.australis had a wider range of distribution,compared with T.chinensis and S.salsa.关键词
MaxEnt模型/潜在分布/优势物种Key words
MaxEnt model/potential distribution/dominant species引用本文复制引用
宗敏,韩广轩,栗云召,王光镇,王安东,杨显基..基于MaxEnt模型的黄河三角洲滨海湿地优势植物群落潜在分布模拟[J].应用生态学报,2017,28(6):1833-1842,10.基金项目
本文由中国科学院科技服务网络计划项目(KFJ-EW-STS-127)和国家自然科学基金项目(41671089)资助 This work was supported by the Science and Technology Service Network Initiative (KFJ-EW-STS-127) and the National Natural Science Foundation of China (41671089). （KFJ-EW-STS-127）
