应用MaxEnt模型预测濒危植物虾藓Bryoxiphium norvegicum在中国的分布范围

Applying MaxEnt Model to predict geographical distribution of rare and endangered bryophytes Bryoxiphium norvegicum(Bryophyta: Bryaceae) in China

预测物种的分布对物种资源的评估及生物多样性保护非常重要。研究基于虾藓在中国的24个地理单位的分布数据,结合12个环境因子数据,使用最大熵模型(MaxEnt)预测虾藓在我国的分布范围,结果显示虾藓在我国的主要分布区域为东北大兴安岭、小兴安岭和长白山,中部秦岭,西南横断山、喜马拉雅山和东南台湾、福建、浙江、安徽一带。经预测,该种在重庆、福建、湖北有分布的可能性极大,另外新疆部分地区也可能有虾藓分布。本次研究表明虾藓在我国的潜在分布范围比目前记录的分布范围广,加强野外调查工作,可能会发现虾藓的新分布区域,为虾藓保护提供更科学的保护计划。

Prediction of the geographical distribution of rare and endangered species is important in their resources evaluation,protection and biological diversity management.Bryoxiphium norvegicum,a relic moss species in glacial and interglacial periods,has been mainly recorded from cold areas.It is also regarded as an endangered species.To predict the potential distribution regions of Bryoxiphium norvegicum in China for helping its conservation,its geographical distribution was modeled by a maximum entropy algorithm modeling program(MAXENT)based on 24 presence-only data and 12 environmental variables.The results show that the main distribution areas in China contain Great Xing’an Mountains,Xiaoxing’an Mountains and Changbai Mountain in Northeast China,Qin Mountain in Middle China,Hengduan Mountain and the Himalayas in Southwest China,Taiwan,Fujian,Zhejiang and Anhui in Southeast China.For the prediction,it is very possible that Bryoxiphium norvegicum distributes in Chongqing,Fujian,Hubei,although it is not found in these areas at present.This research shows that Bryoxiphium norvegicum distribution range is larger than the current record distribution range,so it is necessary to do more field investigation work,make clear the distribution,and to establish feasible plan for protect Bryoxiphium norvegicum in China.