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林业资源管理 ›› 2018, Vol. 0 ›› Issue (5): 99-104.doi: 10.13466/j.cnki.lyzygl.2018.05.016

• 技术应用 • 上一篇    下一篇

滇西北寒温山地硬叶常绿阔叶林的潜在分布预测

李望军1(), 周瑞伍2, 冯图1, 骆强1, 何斌1, 肖群英1, 彭明春3()   

  1. 1.贵州工程应用技术学院 生态工程学院,贵州 毕节 551700
    2.中国科学院西双版纳热带植物园 热带森林生态学重点实验室,云南 勐腊 666303
    3.云南大学生态学与地植物学研究所,昆明 650091
  • 收稿日期:2018-09-03 修回日期:2018-10-21 出版日期:2018-10-28 发布日期:2020-09-24
  • 通讯作者: 彭明春
  • 作者简介:李望军(1986-),男,湖南人,讲师,博士,主要从事植被生态学研究。Email: 40133853@qq.com
  • 基金资助:
    贵州省教育厅青年科技人才成长项目(黔教合KY字〔2018〕394);贵州工程应用技术学院高层次人才科研启动基金(院科合字G2018006);贵州工程应用技术学院高层次人才科研启动基金(G2012009);贵州省重点学科“生态学”资助(黔学位合字ZDXK〔2013〕11);贵州高原湿地生态工程协同创新中心(2015XT003)

Potential Distribution Prediction of Cold—temperate Mountainous Sclerophyllous Evergreen Broad—leaved Forests in Northwest Yunnan

LI Wangjun1(), ZHOU Ruiwu2, FENG Tu1, LUO Qiang1, HE Bin1, XIAO Qunying1, PENG Mingchun3()   

  1. 1. School of Ecological Engineering,Guizhou University of Engineering Science,Bijie,Guizhou 551700,China
    2. Key Laboratory of Tropical Forest Ecology,Xishuangbanna Tropical Botanical Garden,Chinese Academy of Sciences,Mengla,Yunnan 666303,China
    3. Institute of Ecology and Geobotany,Yunnan University,Kunming 650091,China
  • Received:2018-09-03 Revised:2018-10-21 Online:2018-10-28 Published:2020-09-24
  • Contact: PENG Mingchun

摘要:

植被潜在分布区的预测是植被-气候关系研究的起点,对植被的保护和恢复具有重要的指导意义。基于滇西北地区的气候数据及寒温山地硬叶常绿阔叶林的现状分布数据,应用Maxent模型,预测了滇西北寒温山地硬叶常绿阔叶林的潜在分布区,结果表明:1)模型训练数据(Training data)的AUC值为0.976,检验数据(Texting data)的AUC值为0.973,模型的预测精度达到优秀水平;2)最冷月最低温度(Bio6)、 最冷季度平均温度(Bio11)、最干月降水量(Bio14)和最湿季度平均温度(Bio8)等 4个气候因子为影响滇西北寒温山地硬叶常绿阔叶林潜在分布的主导因子,其中最冷月最低温度(Bio6)最为关键;3)滇西北寒温山地硬叶常绿阔叶林潜在分布区总面积9 233.92 km2,占滇西北地区总面积的13.40%;4)滇西北寒温山地硬叶常绿阔叶林潜在分布区海拔分布范围为2 452~4 127m,平均海拔3 034m。

关键词: Maxent模型, 植被-气候关系, 滇西北, 寒温山地硬叶常绿阔叶林, 潜在分布

Abstract:

Prediction of potential vegetation distribution has great significance on protection and restoration of vegetation as a starting point of studies refering to vegetation-climate relationship.On the basis of climate data and current distribution data in Northwest Yunnan,the study predict potential distribution areas of cold-temperate mountainous sclerophyllous evergreen broad-leaved forests by means of Maxent model.Results are as follows:(1) AUC value of training data and texting data are 0.976 and 0.973 respectively,demonstrating that accuracy of the maxent model is excellent.(2) Four climatic factors including Bio6,Bio11,Bio14 and Bio8 become the leading factors affecting the potential distribution of cold-temperate mountainous sclerophyllous evergreen broad-leaved forests in Northwest Yunnan,in which bio6 is the most critical.(3) With a total area of 9 233.92 km2,potential distribution of cold-temperate mountainous sclerophyllous evergreen broad-leaved forests occupy 13.40 percent of Northwest Yunnan.(4)Elevation range of potential distribution areas of cold-temperate mountainous sclerophyllous evergreen broad-leaved forests in Northwest Yunnan is 2 452~4 127m,with an average of 3 034m.

Key words: Maxent model, vegetation-climate relationship, Northwest Yunnan, cold-temperate mountainous sclerophyllous evergreen broad-leaved forests, potential distribution

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