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林业科学 ›› 2013, Vol. 49 ›› Issue (11): 183-188.doi: 10.11707/j.1001-7488.20131126

• 研究简报 • 上一篇    下一篇

顾及耦合作用的森林景观多尺度分类

赵春燕1, 李际平1, 马文俊2, 袁晓红1, 郑柳1   

  1. 1. 中南林业科技大学 长沙 410004;
    2. 四川省林业勘察设计研究院 成都 610081
  • 收稿日期:2013-01-24 修回日期:2013-05-06 出版日期:2013-11-25 发布日期:2013-11-26
  • 通讯作者: 李际平
  • 基金资助:

    国家自然科学基金项目(30972362);中南林业科技大学青年基金项目(QJ2011045B);中南林业科技大学人才引进项目。

Multi-Scale Forest Landscape Classification Considering Coupling Effect

Zhao Chunyan1, Li Jiping1, Ma Wenjun2, Yuan Xiaohong1, Zheng Liu1   

  1. 1. Central South University of Forestry & Technology Changsha 410004;
    2. Sichuan Forestry Exploration and Design Institute Chengdu 610081
  • Received:2013-01-24 Revised:2013-05-06 Online:2013-11-25 Published:2013-11-26

关键词: 耦合作用, 多尺度, 森林景观, 景观分类, 森林资源二类调查数据

Abstract:

Based on the data of forest resource inventory in the west Dongting Lake region, a classification method, suitable for vectorized data, was proposed and developed for multi-scale landscape components. The dominant tree species, age and crown closure, altitude, slope, slope aspect and slope position were selected as the influencing factors for the classification. The small-scale forest landscape classification mainly considers the grading of vegetation factors and environmental factors, however the large-scale classification needs to take consideration of the coupling effects among the elements of forest landscape types. These concerns act as a rule to merge the small forest landscape patches into their adjacent units. In this study the attribute characteristics of space unit in the vector graphics was based to analyze its semantic proximity relation, and the spatial analysis function of ArcGIS was used to realize the merger of space unit. According to the edge effect and coupling strength between different forest landscape types, small patches was eliminated, and merged into patches of landscape types with high environmental coupling. Thus, multiscale landscape classification database was established, and multi-scale forest landscape classification were realized.

Key words: coupling effects, multi-scale, forest landscape, landscape classification, forest resource inventory data for management

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