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浙江天目山自然保护区森林景观格局分析

吴兆艳 汤孟平 洪海峰 邓英英 赵明水

西南林业大学学报2011,Vol.31Issue(5):62-66,71,6.
西南林业大学学报2011,Vol.31Issue(5):62-66,71,6.DOI:10.3969/j.issn.2095-1914.2011.05.014

浙江天目山自然保护区森林景观格局分析

Analysis of Forest Landscape Pattern in Mount Tianmu National Nature Reserve

吴兆艳 1汤孟平 1洪海峰 1邓英英 1赵明水2

作者信息

  • 1. 浙江农林大学环境科技学院,浙江临安311300
  • 2. 天目山国家级自然保护区管理局,浙江临安311300
  • 折叠

摘要

Abstract

Mount Tianmu National Nature Reserve in Zhejiang Province was taken as the study object, the terrain map, remote sensing images and the data required by the 2nd class forest management inventory were collected to analyze the characteristics of the forest landscape pattern. The forest landscape of Mount Tianmu National Nature Reserve was classified into five types of forest landscape patches including broadleaved forest, coniferous forest, coniferous and broadleaved mixed forest, non-timber product forest and bamboo forest. The forest landscape was classified into two categories, I. E. , the natural landscape and the semi-natural landscape. Then, the patch density, shape index, diversity index and dominance index, etc. Were selected as landscape pattern indices which were used in analyzing forest landscape characteristics based on GIS and RS techniques. The results showed that the patch density and the separation index of non-timber product plantations were the biggest, and those of the broadleaved forests were the least. The patches of bamboo forest had the most complex shape feature, while the non-timber product plantations had the most regular patch shape. The landscape diversity indexes were ordered as the whole landscape > natural landscape > semi-natural landscape, whereas the order of the dominance indexes was that the semi-natural landscape > the whole landscape > natural landscape.

关键词

天目山/森林景观格局/景观指数/GIS

Key words

Mount Tianmu/forest landscape pattern/landscape indices/Geographic Information System

分类

农业科技

引用本文复制引用

吴兆艳,汤孟平,洪海峰,邓英英,赵明水..浙江天目山自然保护区森林景观格局分析[J].西南林业大学学报,2011,31(5):62-66,71,6.

基金项目

国家自然科学基金项目(30871963)资助 (30871963)

浙江省科技厅项目(2009C32063)资助. (2009C32063)

西南林业大学学报

OACSTPCD

2095-1914

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