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• 研究报告 • 上一篇    下一篇

基于不同空间尺度的林火面积分布格局——以江西省为例

闫赛佳1,2,吴志伟1*,付婧婧1,2,顾先丽1,2,张宇婧1,2,杜林翰1,2   

  1. (1江西师范大学鄱阳湖湿地与流域研究教育部重点实验室, 南昌 330022; 2江西师范大学地理与环境学院, 南昌 330022)
  • 出版日期:2020-07-10 发布日期:2021-01-09

Multiple spatial-scale analysis on the distribution patterns of forest burned areas: A case study of Jiangxi Province.

YAN Sai-jia1,2, WU Zhi-wei1*, FU Jing-jing1,2, GU Xian-li1,2, ZHANG Yu-jing1,2, DU Lin-han1,2   

  1. (1Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, China; 2School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China).
  • Online:2020-07-10 Published:2021-01-09

摘要: 单一空间尺度的研究难以揭示林火分布特征。本文采用变异系数、空间自相关统计和尺度方差分析等方法,研究2003—2015年江西省林火面积在地市、县区、乡镇3个尺度上分布的变异性、关联性及尺度效应。结果表明:各年份林火面积变化存在明显差异,总体呈先上升后下降的趋势,其中,2008年林火面积值最大,空间变异性最小,呈明显的空间聚集特征;不同空间尺度上林火面积的分布格局存在差异,随着研究尺度的减小,林火面积空间自相关程度增强,对总空间分布格局的贡献份额增大;各尺度林火发生热点区主要分布在赣中南地区,这与当地自然和人类活动因素存在密切联系。理解不同尺度上林火面积分布特征,可为合理分配区域森林防火资源提供科学依据。

关键词: 热岛效应, 实地观测, 降温效应, 城市绿地

Abstract: It is difficult to reveal spatial distribution patterns of forest fire at a single spatial scale. Here, we explored the spatial variability, correlation, and scale effects of forest burned area in Jiangxi Province between 2003 and 2015 at three spatial scales (city, county, and township levels) using the approaches of variation coefficient, spatial autocorrelation statistics, and scale variance analysis. There were significant differences in the changes of forest burned area among different years, with an overall pattern of increasing first and then decreasing over time. The burned area was the largest in 2008, and the spatial variability was the smallest, showing obvious aggregation characteristics. The distribution pattern of forest burned area differed across spatial scales. With the decreases of spatial scale, the degree of spatial autocorrelation of forest burned area increased, with an increased contribution rate to the whole spatial distribution pattern of forest burned areas. The hotspots of burned area were mainly distributed in the central and southern Jiangxi, which were closely related to local natural and human activities. Understanding distribution patterns of forest burned areas at different spatial scales provide a scientific basis for rational resources allocation of regional forest fire prevention.

Key words: urban green space, urban heat island., cooling effect, field measurement