InSAR 测量的瑞典北部帕萨泥炭地永久冻土退化情况

Samuel Valman, Matthias Siewert, Doreen S. Boyd, Martha J Ledger, David Gee, Betsabé de la Barreda-Bautista, A. Sowter, Sofie Sjögersten
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摘要

摘要气候变暖正在使整个环北极永久冻土地区的麻风泥炭地退化。永冻土退化可能导致生态系统崩溃,并可能产生强烈的气候反馈作用,因为该生态系统是重要的碳储存库,并可能转变为温室气体的大量排放者。需要对永久冻土退化进行地貌测量,以监测气候变暖的影响。地表下沉是衡量冻土退化变化的一个有用指标,可利用干涉合成孔径雷达(InSAR)卫星技术进行监测。我们将使用 ASPIS 算法处理的 InSAR 数据(用于监测 2017 年至 2021 年间的地面运动)与机载光学和激光雷达数据相结合,研究了瑞典北部帕萨泥炭地的沉降速度。我们的研究表明,在瑞典最大的八块palsa泥炭地中,有55%的泥炭地目前正在下沉,这可归因于底层的永久冻土地貌及其退化。退化速度最快的是研究区域最北部最大的泥炭沼泽群,这也是整个绘制湿地图区域中泥炭沼泽覆盖率最高的地区。此外,在冬季降水量大幅增加的地区,也发现了较高的退化率。根据激光雷达数字高程模型(DEM)计算出的粗糙度指数可作为退化的替代指标,该指数会随着沉降率的增加而增加,因此可作为棕榈属植物退化的补充指标。我们的研究表明,将利用遥感技术捕获的数据集结合起来,可以对正在发生的永久冻土退化进行区域范围的估算,这是估算未来气候变化对依赖永久冻土的生态系统的影响的重要一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
InSAR-measured permafrost degradation of palsa peatlands in northern Sweden
Abstract. Climate warming is degrading palsa peatlands across the circumpolar permafrost region. Permafrost degradation may lead to ecosystem collapse and potentially strong climate feedbacks, as this ecosystem is an important carbon store and can transition to being a strong greenhouse gas emitter. Landscape-level measurement of permafrost degradation is needed to monitor this impact of warming. Surface subsidence is a useful metric of change in palsa degradation and can be monitored using interferometric synthetic-aperture radar (InSAR) satellite technology. We combined InSAR data, processed using the ASPIS algorithm to monitor ground motion between 2017 and 2021, with airborne optical and lidar data to investigate the rate of subsidence across palsa peatlands in northern Sweden. We show that 55 % of Sweden's eight largest palsa peatlands are currently subsiding, which can be attributed to the underlying permafrost landforms and their degradation. The most rapid degradation has occurred in the largest palsa complexes in the most northern part of the region of study, also corresponding to the areas with the highest percentage of palsa cover within the overall mapped wetland area. Further, higher degradation rates have been found in areas where winter precipitation has increased substantially. The roughness index calculated from a lidar-derived digital elevation model (DEM), used as a proxy for degradation, increases alongside subsidence rates and may be used as a complementary proxy for palsa degradation. We show that combining datasets captured using remote sensing enables regional-scale estimation of ongoing permafrost degradation, an important step towards estimating the future impact of climate change on permafrost-dependent ecosystems.
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