Analysis of Freeze-Thaw Patterns and Driving Factors of Seasonal Frozen Soil in Daxing’anling Forest Area

YANGLiping, WANGYuchen, ZHANGLanbiao, TANGJiaqi, ZHANGYiyao, ZHANGCunhou

Chin Agric Sci Bull ›› 2026, Vol. 42 ›› Issue (17) : 106-112.

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Chin Agric Sci Bull ›› 2026, Vol. 42 ›› Issue (17) : 106-112. DOI: 10.11924/j.issn.1000-6850.casb2026-0071

Analysis of Freeze-Thaw Patterns and Driving Factors of Seasonal Frozen Soil in Daxing’anling Forest Area

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Abstract

To rationally utilize frozen soil resources and promote regional sustainable development, based on long-term (1991-2024) frozen soil data and synchronous meteorological observation data from surface meteorological stations in the Daxing’anling forest area, statistical analysis methods such as linear trend estimation and Pearson correlation coefficient were employed to systematically analyze the spatiotemporal variation characteristics of key freeze-thaw parameters of frozen soil and their correlations with meteorological and geographical factors. The results indicated that: (1) during the study period, the seasonal frozen soil showed a significant degradation trend, characterized by “delayed freezing, advanced thawing, and reduced freezing depth”. The initial freezing date was delayed by 2.6 days per decade; the initial thawing date and final thawing date were advanced by 1.6 days and 5.5 days per decade, respectively; the maximum frozen soil depth decreased by 4.3 cm per decade, and the freeze-thaw cycle continued to be shortened. (2) The freeze-thaw process exhibited obvious spatiotemporal differentiation: the initial freezing date was earlier in the north and later in the south, the initial thawing date was earlier in the southeast than in the northwest, the final thawing date spanned nearly 4 months, and the maximum frozen soil depth presented a distribution feature of “shallow in the southeast and deep in the northwest”. (3) Meteorological and geographical factors synergistically drove the changes of frozen soil. The key meteorological factors were autumn average temperature and autumn precipitation (affecting the initial freezing date), annual average temperature (affecting the initial thawing date), and annual/summer precipitation (affecting the maximum frozen soil depth). The core geographical factors were altitude (regulating freeze-thaw timing), longitude (influencing the initial thawing date and frozen soil depth), and latitude (acting on key freeze-thaw timing and frozen soil depth). This study clarifies the freeze-thaw patterns and main driving factors of seasonal frozen soil in the Daxing’anling forest area, providing a scientific basis for frozen soil resource management, ecological protection, and climate change adaptation in the forest area.

Key words

seasonal frozen soil / freeze-thaw patterns / spatiotemporal evolution / driving mechanism / climate change / frozen soil degradation / Daxing’anling

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YANG Liping , WANG Yuchen , ZHANG Lanbiao , et al . Analysis of Freeze-Thaw Patterns and Driving Factors of Seasonal Frozen Soil in Daxing’anling Forest Area[J]. Chinese Agricultural Science Bulletin. 2026, 42(17): 106-112 https://doi.org/10.11924/j.issn.1000-6850.casb2026-0071

References

[1]
褚永磊, 王鹏, 张诗琪. 多年冻土退化及其趋势初步评估综述[J]. 内蒙古林业调查设计, 2017, 40(2):89-92,94.
[2]
周幼吾, 郭东信, 程国栋, 等. 中国冻土[M]. 北京: 科学出版社, 2000.
[3]
徐学祖, 王家澄, 张立新, 冻土物理学[M]北京: 科学出版社, 2001.
[4]
周梅, 余新晓, 冯林, 等. 大兴安岭林区冻土及湿地对生态化境的作用[J]. 北京林业大学学报, 2003, 6(25):91-93.
[5]
WU M S, ZHAO Qiang, JANSSON P E. Improved soil hydrological modeling with the implementation of saltinduced freezing point depression in CoupModel: model calibration and validation[J]. Journal of hydrology, 2021, 596:125693.
[6]
CUI L H, ZHU Yan, ZHAO T X, et al. Evaluation of upward flow of groundwater to freezing soils and rational per-freezing water table depth in agricultural areas[J]. Journal of hydrology, 2020, 585: 124825.
[7]
李保琦, 张楚楚, 周毓彦, 等. 1960-2023年我国东北典型季节性冻土区冻融指数及冻土退化影响因素分析[J]. 水利水电技术, 2024, 55(8):161-173.
[8]
王燕, 白吉萍, 袁世龙, 等. 柴达木盆地季节性冻土变化特征分析研究[J]. 农业灾害研究, 2025, 15(3):204-206.
[9]
冯晓莉, 李红梅, 罗斯琼, 等, 1961-2020年三江源地区季节性冻土冻融特征分析[J]. 高原气象, 2022, 41(2):295-305.
[10]
吴小丽, 刘桂民, 李新星, 等. 青藏高原多年冻土和季节性冻土区土壤水分变化及其与降水的关系[J]. 水文, 2021, 41(1):73-78,101.
[11]
刘帆, 李峰平, 孙建, 等. 长白山季节性冻土区土壤温湿度变化及其模拟[J]. 水资源与水工程学报, 2025, 36(4):206-216.
[12]
燕玉亮. 季节性冻土区冻融过程的水文效应与模拟预估--以西流松花江流域为例[D]. 哈尔滨: 黑龙江大学, 2025.
[13]
杨丽萍, 张胜利, 张存厚, 等. 额尔古纳兴安落叶松物候期与季节性冻土关系研究[J]. 中国农学通报, 2025, 41(35):80-87.
开展兴安落叶松物候期与季节性冻土变化特征的关系研究,对于合理利用冻土资源,科学指导当地林业生产实践具有重要意义。利用1991—2023年额尔古纳地面气象站冻土数据和农牧业气象观测站物候观测资料,选择代表性树种兴安落叶松为研究对象,采用线性倾向估计、Pearson相关系数等统计分析方法,重点探讨额尔古纳兴安落叶松不同物候期及其与季节性冻土变化特征的关系。结果表明:(1)研究区季节性冻土变化特征明显,冻结初日平均每10 a推迟5 d,融化终日平均每10 a提前18 d,融化初日相对较稳定;最大冻土深度、融化日数和冻融周期平均每10 a分别减小29 cm、缩短16 d和23 d。(2)研究时段内,兴安落叶松春季物候期和秋季物候期都表现为推迟趋势,花芽开放期和展叶始期平均每10 a推迟5 d,叶完全变色期和落叶末期平均每10 a推迟11 d;生长季长度平均每10 a延长6 d,处于生长季中期的展叶始期—叶完全变色期持续日数的延长贡献最大。(3)兴安落叶松不同物候期与季节性冻土关系较为密切,兴安落叶松不同物候期的推迟及生长季的延长,都与冻土冻结初日的推迟、融化终日的提前、融化日数和冻融周期的缩短紧密相关,另外最大冻土深度变浅对兴安落叶松物候期的推迟也存在一定影响。该研究得出了额尔古纳兴安落叶松物候期及其与季节性冻土变化关系,为指导科学林业生产提供参考。
[14]
魏凤英. 现代气候统计诊断与预测技术(第2版)[M]. 北京: 气象出版社, 2007.
[15]
何蓓蓓, 雷文君, 郑盐源. 西藏阿里地区气候变化及其对季节性冻土的影响[J]. 陕西农业科学, 2025, 71(12):70-77.
[16]
冯晓莉, 刘振磊, 严继云, 等. 未来青藏高原东北部季节冻土变化趋势[J]. 干旱区研究, 2026, 43(1):25-36.
基于22个经过偏差降尺度校正的高分辨率多模式数据(NEX-GDDP-CMIP6),对21世纪中期(2025—2060年)和后期(2061—2100年)不同排放情景下青藏高原东北部季节冻土年最大冻结深度、冻结初始日、融化终止日的变化趋势及冻土面积变化进行预估。结果表明,21世纪中期,不同排放情景下(SSP1-2.6、SSP2-4.5和SSP5-8.5)年最大冻结深度将显著减小,较历史参考期减小9.8~14.9 cm。同时,三种排放情景下季节冻土冻结初始日将以1~3 d·(10a)<sup>-1</sup>的速率推迟,融化终止日则以-2~-4 d·(10a)<sup>-1</sup>的速率提前,融化终止日提前速率约为冻结初始日推迟速率的两倍,且排放情景越高,冻结期缩短越明显。在低排放情景下,21世纪后期季节冻土变化趋势相对平稳;21世纪后期中等排放情景下最大冻结深度和冻融期变化速率,与21世纪中期低排放情景预估结果接近;而在高排放情景下,最大冻结深度将继续大幅减小,冻结期显著缩短。从不同生态功能区来看,21世纪中、后期,低、中排放情景下东部农业区季节冻土年最大冻结深度减小最快,而在高排放情景下三江源地区季节冻土年最大冻结深度减小速率最快;三江源地区季节冻土冻结期缩短最为明显。21世纪中期,不同排放情景下季节冻土面积较参考期增加14.4×10<sup>4</sup>~19.8×10<sup>4</sup> km<sup>2</sup>;至21世纪后期,季节冻土面积进一步扩大,低、中、高排放情景下分别再增加2.2×10<sup>4</sup> km<sup>2</sup>、8.6×10<sup>4</sup> km<sup>2</sup>、12.4×10<sup>4</sup> km<sup>2</sup>。总体而言,未来青藏高原东北部季节冻土对气候变化响应显著,高排放情景下季节冻土最大冻结深度减小与冻结期缩短最为显著,且多年冻土向季节冻土转化加剧,而节能减排有助于减缓未来冻土的退化趋势。
[17]
王晓敏, 多杰卓么, 罗智勇, 等. 高寒季节冻土变化及对土壤水分影响的研究[J]. 农业灾害研究, 2025, 15(4):124-126.
[18]
严继云, 李红梅, 冯晓莉, 等. 1961-2020年三江源地区季节性冻土时空分布特征分析[J]. 农业灾害研究, 2024, 14(10):186-188.
[19]
赵维俊, 牛赟, 成彩霞, 等. 祁连山典型流域季节冻土冻融状态时空变化及影响因素[J]. 山地学报, 2025, 43(5):682-696.
[20]
冯心鱼. 东北地区季节性冻土深度时空变化特征及影响因素[D]. 沈阳: 沈阳农业大学, 2025.
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