摘要
采用最近邻体距离法和相关性分析分别选取样本数据和环境变量,并应用最大熵方法(Maxent)建立生态位模型,分析了影响醉马草潜在分布的主要环境因素,预测了醉马草在青海省的潜在分布区域。结果表明:等温性、最潮湿季节的平均温度、年平均降水量和季节性降水量对醉马草的潜分布影响较大;醉马草在青海省有广泛的潜在分布区,主要分布在青海湖附近和黄河流域。虽然目前醉马草的现实分布区远小于潜在分布范围,但其具有相当大的扩散空间,应高度重视醉马草的危害性,严格监控其向潜在适生区域扩散蔓延。
At present study, the occurrence records and environment variables were respectively selected by the nearest neighbor distance method and correlation analysis. Then, theecologicalniche modelwasestablishedusingmaxi- mum entropy (Maxent). Based on Maxent simulations, the main environmental factors affecting the potential distri- butionofA, inebrians was analyzed. And the potential distribution regionsofA, inebrians in Qinghaiwerepredicted. Results showed that isothermality, mean temperature of the wettest quarter,annual average precipitationandprecipi- tation seasonalityhave great influence on the potential distribution of A. inebrians. There are a wide range of potential distribution areas of A. inebrians in Qinghai province, mainly in the vicinity of Qinghai lake and the Yellow River ba- sin.Although the current distribution of A. inebrians is far from the biggest potential distribution range, it is still likely to continue to spread. The perniciousness of A. inebrians should he attached high attention.And the dynamics of spread to the potential distribution area should be strictly monitored.
出处
《绿色科技》
2018年第4期1-3,共3页
Journal of Green Science and Technology
基金
国家自然科学基金(编号:31560127)
甘肃省自然科学基金(编号:1506RJZA274)
中国博士后自然科学基金(编号:2013M530542)
关键词
生态位模型
醉马草
潜在分布区
最大熵模型
ecological niche model
Achnatheruminebriansl potential distribution
maxent