The driving factors and their interactions of fire occurrence in Greater Khingan Mountains, China
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The driving factors and their interactions of fire occurrence in Greater Khingan Mountains, China GUO Xiao-yi1
https://orcid.org/0000-0002-8651-615X; e-mail: [email protected]
ZHANG Hong-yan1* WANG Ye-qiao2* ZHAO Jian-jun1
https://orcid.org/0000-0001-5262-8076;
e-mail: [email protected]
https://orcid.org/0000-0003-3273-5047; e-mail: [email protected] https://orcid.org/0000-0002-0336-5764; e-mail: [email protected]
ZHANG Zheng-xiang1
https://orcid.org/0000-0001-9949-7114; e-mail: [email protected]
* Corresponding author 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 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/s11629-0206036-0
© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2020
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 Received: 10-Sep-2019 1st Revision: 15-Apr-2020 2nd Revision: 08-Jun-2020 Accepted: 28-Jul-2020
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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 wit
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