气候变化领域集成服务门户(CCPortal): Quantitative Changes in the Surface Frozen Days and Potential Driving Factors in Northern Northeastern China

CCPortal

DOI	10.3390/land13030273
	Quantitative Changes in the Surface Frozen Days and Potential Driving Factors in Northern Northeastern China
	Yang, Dongyu; Xiao, Yang; Li, Miao; Man, Haoran; Luo, Dongliang; Zang, Shuying; Wan, Luhe
发表日期	2024
EISSN	2073-445X
起始页码	13
结束页码	3
卷号	13 期号:3
英文摘要	Surface freezing and thawing processes pose significant influences on surface water and energy balances, which, in turn, affect vegetation growth, soil moisture, carbon cycling, and terrestrial ecosystems. At present, the changes in surface freezing and thawing states are hotspots of ecological research, but the variations of surface frozen days (SFDs) are less studied, especially in the permafrost areas covered with boreal forest, and the influence of the environmental factors on the SFDs is not clear. Utilizing the Advanced Microwave Scanning Radiometer for EOS (AMSRE) and Microwave Scanning Radiometer 2 (AMSR2) brightness temperature data, this study applies the Freeze-Thaw Discriminant Function Algorithm (DFA) to explore the spatiotemporal variability features of SFDs in the Northeast China Permafrost Zone (NCPZ) and the relationship between the permafrost distribution and the spatial variability characteristics of SFDs; additionally, the Optimal Parameters-based Geographical Detector is employed to determine the factors that affect SFDs. The results showed that the SFDs in the NCPZ decreased with a rate of -0.43 d/a from 2002 to 2021 and significantly decreased on the eastern and western slopes of the Greater Khingan Mountains. Meanwhile, the degree of spatial fluctuation of SFDs increased gradually with a decreasing continuity of permafrost. Snow cover and air temperature were the two most important factors influencing SFD variability in the NCPZ, accounting for 83.9% and 74.8% of the spatial variation, respectively, and SFDs increased gradually with increasing snow cover and decreasing air temperature. The strongest explanatory power of SFD spatial variability was found to be the combination of air temperature and precipitation, which had a coefficient of 94.2%. Moreover, the combination of any two environmental factors increased this power. The findings of this study can be used to design ecological environmental conservation and engineer construction policies in high-latitude permafrost zones with forest cover.
英文关键词	Northeastern China permafrost zone; surface frozen days; influencing factors; freeze-thaw discriminant function algorithm; Optimal Parameters-based Geographical Detector
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Studies
WOS记录号	WOS:001192959800001
来源期刊	LAND
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/304835
作者单位	Harbin Normal University; Chinese Academy of Sciences
推荐引用方式 GB/T 7714	Yang, Dongyu,Xiao, Yang,Li, Miao,et al. Quantitative Changes in the Surface Frozen Days and Potential Driving Factors in Northern Northeastern China[J],2024,13(3).
APA	Yang, Dongyu.,Xiao, Yang.,Li, Miao.,Man, Haoran.,Luo, Dongliang.,...&Wan, Luhe.(2024).Quantitative Changes in the Surface Frozen Days and Potential Driving Factors in Northern Northeastern China.LAND,13(3).
MLA	Yang, Dongyu,et al."Quantitative Changes in the Surface Frozen Days and Potential Driving Factors in Northern Northeastern China".LAND 13.3(2024).