华东师范大学学报(自然科学版)

• 生态与环境科学 • 上一篇    

气候变化下我国蔓藓属(Meteorium)适生分布的预测

刘艳   

  1. 重庆师范大学 生命科学学院, 重庆 401331
  • 收稿日期:2015-12-18 出版日期:2016-11-25 发布日期:2017-01-13
  • 通讯作者: 刘 艳, 女, 博士, 副教授, 研究方向为苔藓植物学. E-mail: tracy-moss@hotmail.com.
  • 基金资助:

    国家自然科学基金(31300173); 重庆市自然科学基金(cstc2016jcyjA0031)

Predictions of suitable distribution of Meteorium in China under climate change

LIU Yan   

  1. College of Life Sciences, Chongqing Normal University, Chongqing 401331, China
  • Received:2015-12-18 Online:2016-11-25 Published:2017-01-13

摘要:

基于我国蔓藓属 6 种 166 个地理分布记录和 19 个生物气候变量, 利用 ArcGIS 和 Maxent 模型预测、比较不同气候情景下该属物种适生区及其变化, 以期为气候变化对苔藓植物地理分布的影响提供科学依据. 结果表明:气温年变化范围、最冷季度平均气温、温度季节性变化(标准差)和最热月最高气温是影响我国蔓藓属分布的主要气候因子. 在近代气候条件下, 蔓藓属的适生分布区集中在秦岭淮河以南的各省大部分地区. 在未来气候情景下(21 世纪 50 年代和 21 世纪 70 年代), 蔓藓属适生分布区均将略微减少, 分别将是近代气候情景下适生区面积的94.48%和95.78%.

关键词: 苔藓植物, 气候变化; , 最大熵模型, 蔓藓属; , 物种分布

Abstract:

According to 166 geographic distribution records of six Meteorium species and 19 bioclimatic variables, the present study employed both Maximum entropy (Maxent) model and the spatial analysis methods in the ArcGIS 10.2 to predict the potential distribution of Meteorium in China and compare the range size of each projection under different climate scenarios, in order to provide scientific evidence of the impact of ongoing climate change for bryophytes’ distribution. The results showed that temperature annual range, mean temperature of coldest quarter, temperature seasonality (standard deviation *100) and max temperature of warmest month were the major factors influencing the distribution of Meteorium in China. Under current climate condition, the suitable distribution of Meteorium located in large parts of southern Qin Ling and Huai River. While in future climate scenarios (i.e. 2050s and 2070s), both of the ranges were predicted to decrease slightly. It will become 94.48% and 95.78% of the current suitable area in 2050s and 2070s, respectively.

Key words: bryophytes, climate change, maximum entropy model, Meteorium, species distribution