JOURNAL ARTICLE

Changing Southern/Lower Limits of Latitudinal/Mountain Permafrost (SLLP/LLMP) in Northeast China: An Overview.

  • Published In: Permafrost & Periglacial Processes, 2025, v. 36, n. 3. P. 563 1 of 3

  • Database: Environment Complete 2 of 3

  • Authored By: Jin, Huijun; Huang, Shuai; Jin, Xiaoying; Liang, Junhe; Li, Xiaoying; Li, Anyuan; Lü, Lanzhi; Şerban, Raul‐David; Gagarin, Leonid S.; Wang, Yongping 3 of 3

Abstract

This paper investigates the spatiotemporal dynamics and their changes of the southern limit of latitudinal permafrost (SLLP) and the lower limit of mountain permafrost (LLMP) in Northeast China, emphasizing the roles of climate change and human activities. Permafrost in this region is primarily distributed in the northern parts of the Da and Xiao Xing'anling mountain ranges and in the upper parts of the Changbai Mountains and at the summits of the Huanggangliang Mountains in the southern part of the Da Xing'anling Mountain Range. Permafrost degradation, ongoing since at least the local Holocene Megathermal Period (8.5–6.0 ka BP), has intermittently reversed during cooler climatic intervals but continues to exert significant impacts on regional environments, infrastructure stability, and carbon storage. Notably, the northward retreats of the SLLP since the mid‐19th century underscore the sustained nature of this degradation, especially in southern patchy permafrost zones increasingly sensitive to warming and anthropogenic influences. LLMP variability is similarly shaped by a combination of climatic, hydrometeorological, ecological, and topographic factors. The distributions of SLLP and LLMP are further complicated by the presence of relict and sporadic permafrost, as well as the hydrothermal effects of vegetation and snow cover. Addressing the challenges of mapping and modeling boreal permafrost in Northeast China requires comprehensive field investigations, long‐term in situ monitoring via station networks, and advanced numerical modeling. Emerging technologies, including satellite and airborne remote sensing (RS), geographic information systems (GIS), unmanned aerial vehicles (UAVs), surface geophysical methods, and big data analytics, offer new possibilities for enhancing permafrost monitoring and mapping. Integrating these tools with conventional field studies can significantly improve our understanding of permafrost dynamics. Continued efforts in monitoring, technological innovation, multidisciplinary collaboration, and international cooperation are essential to meet the challenges posed by permafrost degradation in a changing climate. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Permafrost & Periglacial Processes. 2025/07, Vol. 36, Issue 3, p563
  • Document Type:Article
  • Subject Area:Agriculture and Agribusiness
  • Publication Date:2025
  • ISSN:1045-6740
  • DOI:10.1002/ppp.2285
  • Accession Number:186640648
  • Copyright Statement:Copyright of Permafrost & Periglacial Processes is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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