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林业科学 ›› 2014, Vol. 50 ›› Issue (3): 1-9.doi: 10.11707/j.1001-7488.20140301

• 论文与研究报告 • 上一篇    下一篇

基于生态用小波的古尔班通古特沙漠梭梭分布格局的周期性特征

宋于洋1,2, 李园园1, 李明艳1   

  1. 1. 石河子大学农学院林学系 石河子 832003;
    2. 西北农林科技大学 教育部西部环境与生态重点实验室 杨凌 712100
  • 收稿日期:2012-11-15 修回日期:2014-01-20 出版日期:2014-03-25 发布日期:2014-04-16
  • 基金资助:

    新疆生产建设兵团重点公益林生物多样性保护及生态状况监测项目(兵财企2006.813号)。

Periodic Characteristics of Distribution Pattern of Haloxylon ammodendron in Gurbantunggut Desert Based on Eco-Used Wavelet

Song Yuyang1,2, Li Yuanyuan1, Li Mingyan1   

  1. 1. Department of Forestry, Agricultural College, Shihezi University Shihezi 832003;
    2. Key Laboratory of Environment and Ecology in Western China, Ministry of Education Northwest A & F University Yangling 712100
  • Received:2012-11-15 Revised:2014-01-20 Online:2014-03-25 Published:2014-04-16

摘要:

应用Mexican Hat和Morlet生态用小波,研究3个地点、3种沙丘类型梭梭分布格局的波动特征。结果表明:Mexican Hat和Morlet生态用小波识别的主周期与沙丘的延伸距离接近,即梭梭分布格局的波动周期与沙丘长度基本一致;同时Morl生态用小波能在较小尺度辨别局部聚集特征;通过特征尺度下突变点的检验,发现只有突变点显著尺度,才能对未来格局有较好的预测;影响梭梭空间分布格局的因素有沙丘形态、坡位和土壤因素。

关键词: 生态用小波, 周期, 多尺度突变与预测, 梭梭

Abstract:

In this paper, the eco-used wavelet with Mexican Hat and Morlet was used to research the wave characteristic of Haloxylon ammodendron distribution pattern in three sites and three dune types. The results showed that: the eco-used wavelet with Mexican Hat and Morlet educed the primary cycle which was closed to the extension distance of sand dunes, suggesting that the length of sand dunes was consistent with the wave cycle of H. ammodendron distribution pattern. The application of Morlet wavelet in smaller scales was able to identify the characteristic of portion accumulation. By the examination of mutation point for characteristic scale, the result showed that It is only at the significant mutation points in which the method can well predict the future distribution pattern of H. ammodendron. This study indicated some factors, such as the sand dunes shape, slope position and soil factors, affected the Haloxylon ammodendron distribution pattern.

Key words: eco-used wavelet, cycle, multi-scale abrupt change and prediction, Haloxylon ammodendron

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