欢迎访问林业科学,今天是

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

• 论文与研究报告 • 上一篇    下一篇

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   

  1. 北京林业大学林学院 北京 100083
  • 收稿日期:2014-12-29 修回日期:2015-08-26 出版日期:2016-07-25 发布日期:2016-08-16
  • 通讯作者: 牛树奎
  • 基金资助:
    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)。

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

Zhang Chen, Niu Shukui, Chen Feng, Shao Xiao, Wang Huan   

  1. College of Forestry, Beijing Forestry University Beijing 100083
  • Received:2014-12-29 Revised:2015-08-26 Online:2016-07-25 Published:2016-08-16

摘要: [目的] 研究景观格局对森林火灾的影响,为深入研究森林景观对林火干扰的抗性和控制的机制奠定理论基础。[方法] 以云南省为研究区,依据森林防火条例结合研究区实际情况对森林火灾进行等级分类。对遥感影像进行前期预处理以及重分类,得到云南省土地利用分类图。利用ArcGIS格网法对其格网化,选取7种景观指数(板块数量、平均斑块面积、板块密度指数、蔓延性指数、景观丰度、斑块丰度密度指数和香浓多样性指数)并计算,利用相关性分析及Bootstrap显著性检验方法对云南省森林火灾面积与景观指数的关系进行研究。[结果] 2005-2008年云南省共发生火灾1 457起,其中重大火灾98起。在边长为10 km的格网中,随着针叶林、阔叶林、草地和灌木的平均斑块面积增大,发生高等级森林火灾的概率增大;针阔混交林、河流和水体反之。在100 hm2以上的森林火灾中,斑块丰度密度指数、蔓延性指数、景观丰度、香农多样性指数、斑块密度指数、斑块数量与森林火灾面积的相关系数分别为-0.022,0.300,0.253,-0.333,-0.360,-0.302,其中蔓延性指数、香农多样性指数、斑块密度指数和斑块数量显著相关。根据Bootstrap显著性检验得出,在(0,1]hm2森林火灾中,蔓延性指数与森林火灾面积的相关性在0.01水平上可信;在(50,100]hm2的森林火灾中,蔓延性指数和香农多样性指数的Bootstrap显著性在0.01和0.05水平上可信。随着森林火灾向≥100 hm3以上转变时,香农多样性指数对火面积的负相关达到最大值,负相关系数为-0.333,并在0.01水平上显著。[结论] 1)针叶林、阔叶林、草地和灌木平均斑块面积的增大对森林火灾蔓延有促进作用,针阔混交林、河流和水体平均斑块面积增大则对森林火灾蔓延有抑制作用;2)在(0,1]hm2森林火灾中,香农多样性指数、景观丰度和蔓延性指数对火灾面积的影响程度依次降低;在(50,100]hm2森林火灾中,蔓延性指数、香农多样性指数和斑块数量对火灾面积影响程度依次降低,以上排序可通过Bootstrap显著性检验;3)香农多样性指数、斑块数量和斑块密度的相关系数随着火灾等级(面积扩大)提高向更高的负相关转化,对森林火灾面积的抑制作用逐渐增加。相反,蔓延性指数的相关系数随着火灾等级提高逐渐向正相关发展,对森林火灾面积变化起到促进作用。以上景观指数对100 hm2以上的森林火灾面积变化的影响程度最为明显。

关键词: 景观格局, 景观指数, 森林火灾

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 1457 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.

Key words: landscape pattern, landscape index, forest fires

中图分类号: