欢迎访问《生态学杂志》官方网站,今天是 分享到:

生态学杂志 ›› 2023, Vol. 42 ›› Issue (8): 1953-1962.doi: 10.13292/j.1000-4890.202308.015

• 研究报告 • 上一篇    下一篇

2011—2020年云南西双版纳MODIS火点的时空动态特征

任静,沈才明*,刘芳,叶燎原   

  1. (云南师范大学地理学部, 云南省高原地理过程与环境变化重点实验室, 昆明 650500)
  • 出版日期:2023-08-10 发布日期:2023-07-27

Temporal and spatial dynamics of MODIS fire points in Xishuangbanna, Yunnan during 2011 to 2020.

REN Jing, SHEN Caiming*, LIU Fang, YE Liaoyuan   

  1. (Faculty of Geography, Yunnan Normal University, Yunnan Key Laboratory of Plateau Geographical Processes and Environmental Changes, Kunming 650500, China).
  • Online:2023-08-10 Published:2023-07-27

摘要: 云南西双版纳是我国西南生态安全屏障的重要组成部分,也是全球生物多样性保护的关键地区。本文综合考虑自然和人类活动要素,采用空间相关分析和概率密度估计的方法,探讨2011—2020年西双版纳MODIS火点的时空动态特征。结果表明:(1)西双版纳MODIS火点的莫兰指数大于0.94,空间分布存在显著的相关性;(2)MODIS火点的时间分布存在明显的季节性,主要发生在每年的2—4月;(3)显著性水平为0.01时,火点的高程、坡度、距水系距离、冬夏季FVC、降水量、气温、风速、湿度等要素的概率分布服从Gamma分布,表明这些要素均对火点具有统计意义的贡献;(4)核密度估计结果揭示,西双版纳MODIS火点主要分布在距离居民点5~8 km,且距离道路2.5 km以内的林地内(占58.7%)。研究结果不仅为理解火的发生规律提供了科学基础,且对热带雨林区的火情防控及生态保护具有借鉴意义。


关键词: MODIS火点, 核密度估计, 空间相关性, 西双版纳

Abstract: Xishuangbanna is an important part of the ecological security barrier in southwest China and a key area for global biodiversity protection. We analyzed the spatiotemporal dynamics of MODIS fire points in Xishuangbanna from 2011 to 2020 using spatial correlation analysis and probability density estimation of fire points and natural and anthropogenic elements. The results showed that: (1) Global Moran’s index of the MODIS fire points in Xishuangbanna exceeded 0.94, with significant correlation in spatial distribution; (2) the temporal distribution of the MODIS fire points had an obvious seasonality, with fire points mainly occurring between February and April; (3) when the significance level was set at 0.01, the probability distributions of the fire points’ elevation, slope, distance from the water system, fractional vegetation coverage in winter and summer, precipitation, air temperature, wind speed, and humidity all followed Gamma distribution, indicating that these natural factors all contributed significantly to fire points; (4) the kernel density estimation results showed that MODIS fire points were mainly distributed in the forests within the distance of 5-8 km from the residential areas and within 2.5 km from the roads (accounting for 58.7%). Our results provided a scientific basis for understanding the pattern of fire occurrence, and a reference for fire prevention and control as well as ecological protection in tropical rainforest areas.


Key words: MODIS fire point, kernel density estimation, spatial correlation, Xishuangbanna.