The driving factors and their interactions of fire occurrence inGreater Khingan Mountains, China The driving factors and their interactions of fire occurrence inGreater Khingan Mountains, China

最小化 最大化

Vol17 No.11: 2674-2690

Title】The driving factors and their interactions of fire occurrence inGreater Khingan Mountains, China

Author】GUO Xiao-yi1; ZHANG Hong-yan1*; WANG Ye-qiao2*; ZHAO Jian-jun1; ZHANG Zheng-xiang1

Addresses】1 Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, School of Geographical Sciences, Northeast Normal University, Changchun 130024, China; 2 Department of Natural Resources Science, University of Rhode Island, Kingston, Rhode Island 02881, USA

Corresponding author】ZHANG Hong-yan

Citation】Guo XY, Zhang HY, Wang YQ, et al. (2020) The driving factors and their interactions on the spatial patterns of fire occurrence in Greater Khingan Mountains, China. Journal of Mountain Science 17(11).https://doi.org/10.1007/s11629-020-6036-0

DOI】https://doi.org/10.1007/s11629-020-6036-0

Abstract】Fire is an important disturbance in terms of forest management. A comprehensive understanding of the relationships between the spatial distribution of fire occurrence and its driving factors are critical for effective forest fire management. To reveal biogeoclimatic and anthropogenic influences, this study introduced a geographical detector model to quantitatively examine the effects of multiple individual factors and their combinations on spatial patterns of fire occurrence in the Greater Khingan Mountains between 1980 and 2009. The geographical detector computes the explanatory power (q value) to measure the connection between driving factors and spatial distributions of fire occurrence. Kernel density estimation revealed the spatial variability of fire occurrence which was impacted by bandwidth. 30 km might be the optimal bandwidth in this study. The biogeoclimatic and anthropogenic effects were explored using topography, climate, vegetation, and human activity factors as proxies. Our results indicated that solar radiation had the most influence on the spatial pattern of fire occurrence in the study area. Meanwhile, Normalized Difference Vegetation Index, temperature, wind speed, and vegetation type were determined as the major driving factors. For various groups of driving factors, climate variables were the dominant factors for the density of fire occurrence, while vegetation exerted a strong influence. The interactions between the driving factors had a more significant impact than a single factor. Individually, the factors in the topography and human activity groups exhibited weaker influences. However, their effects were enhanced when combined with climate and vegetation factors. This study improves our understanding of various driving factors and their combined influences on fire occurrences of the study area in a spatial context. The findings of this study verify that the geographical detector is applicable in revealing the driving factors of fire occurrence.

Keywords】Fire occurrence;Driving factors;Interactions;Geographical detector;Greater Khingan Mountains