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基于GIS的景观格局对云南省森林火灾的影响

张晨 牛树奎 陈锋 邵潇 王欢

林业科学2016,Vol.52Issue(7):96-103,8.
林业科学2016,Vol.52Issue(7):96-103,8.DOI:10.11707/j.1001-7488.20160712

基于GIS的景观格局对云南省森林火灾的影响

Effect of Landscape Pattern on Forest Fires in Yunnan Province Based on GIS

张晨 1牛树奎 1陈锋 1邵潇 1王欢1

作者信息

  • 1. 北京林业大学林学院 北京 100083
  • 折叠

摘要

Abstract

Objective]In this study,the influences of landscape pattern on forest fires in Yunnan Province were studied. The landscape index was calculated and the correlation analysis was conducted to examine the influences of different land use types on forest fires,as well as the influence strength of the increasing fire burned area. This study aimed to lay a theoretical foundation for future in-depth study on the impact of forest landscape on forest fires. [Method]Forest fires were classified based on the Forest Protection Regulations combined with the actual situation in the study area in Yunnan Province. The remote sensing images were pretreated and reclassified,and the land use classification diagram of Yunnan Province was granted. The ArcGIS grid method was used to grid and seven kinds of landscape indexes were chosen[number of plaques ( NP ) ,mean patch size ( MPS ) ,patch density ( PD ) ,contagion index ( CONTAG ) ,patch richness( PR ) ,patch richness density ( PRD ) ,Shannon ’s diversity index ( SHDI) ] and calculated. The correlation analysis and the Bootstrap method were applied to study the relationship between forest fires and the landscape index, furthermore to investigate the influence of landscape pattern on forest fires.[Result]A total of 1 457 fires occurred during 2005 to 2008 in Yunnan Province,and among which the 98 were major fires. Within the grid with the side length of 10 km,the chance of high-grade forest fire occurrence was increased with the increase of the average plaque area of coniferous forest,broadleaf forest,grass and shrubs,but it decreased with the increase of mixed coniferous and broad-leaved forest, river and wetland. In more than 100 hectares of forest fires,the correlation coefficient of contagion,Shannon diversity index,landscape shape index,patch density,the number of plaques and forest fire area were -0. 022,0. 300,0. 253,-0. 333,- 0. 360 and - 0. 302,respectively. All correlations except for that with landscape shape index were significant. In 0 -1 hm2 of forest fires,the correlation between the contagion index and the forest fire area was believable at the 0. 01 level. For forest fires with burned area of 50 -100 hm2 ,Bootstrap significance of CONTAG and SHDI was credible at 0. 01 and 0. 05 levels. When forest fire area was more than 100 hm2 ,burned area was negatively correlated with SHDI with the negative correlation coefficient of -0. 333,and the correlation was significant at the 0. 01 level.[Conclusion]The increase of the average patch area of coniferous forest,broadleaf forest,grassland and shrub promoted the spread of forest fires,while the increase of the average patch area of the mixed broadleaved-conifer forest and wetland inhibited the spread of forest fires. Through the Bootstrap test of significance,the influences of Shannon diversity index, landscape abundance and spread index on burned area dropped in the range of 0 -1 hm2 fire burned area. However,in the range of 50 -100 hm2 fire burned area,the influences of spread index,Shannon diversity index and plaque quantity on burned area decreased. The correlations of forest fire and Shannon diversity index,the patch number and the patch density were changed to more negative with the increase of fire rating,and the inhibiting effect on forest fire gradually increased. On the contrary,the correlation of forest fire and spread index was changed to more positive with the increase of fire rating,and the promoting effect gradually increased. The impacts of landscape indices on fire burned area were obvious for major forest fires.

关键词

景观格局/景观指数/森林火灾

Key words

landscape pattern/landscape index/forest fires

分类

农业科技

引用本文复制引用

张晨,牛树奎,陈锋,邵潇,王欢..基于GIS的景观格局对云南省森林火灾的影响[J].林业科学,2016,52(7):96-103,8.

基金项目

国家林业科学技术推广项目“云南省森林火灾中长期多时空尺度预测技术与示范”(2015-04)。 (2015-04)

林业科学

OA北大核心CSCDCSTPCD

1001-7488

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