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

永久冻土 地质学 中国 自然地理学 中国南方 地球科学 地貌学 气候学 地理 考古 海洋学
作者
Huijun Jin,Shuai Huang,Xiaoying Jin,Jingjing Liang,Xiaoying Li,Anyuan Li,Lanzhi Lü,Raul‐David Şerban,Leonid Gagarin,Yongping Wang
出处
期刊:Permafrost and Periglacial Processes [Wiley]
标识
DOI:10.1002/ppp.2285
摘要

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‐19 th 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.
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