Distributive features of soil carbon and nutrients in permafrost regions affected by forest fires in northern Da Xing’anling (Hinggan) Mountains, NE China

Li, Xiaoying; Luo, Dongliang; Wang, Hongwei; Wu, Xiaodong; YunXiang, Huang; He, Ruixia; Jin, Xiaoying

doi:10.1016/j.catena.2019.104304

Cited by 29 publications

(18 citation statements)

References 55 publications

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“…Other additional MAGT measurements from 19 boreholes in Northeast China are from Li et al (2019) and Chang (2011). Additional ALT measurements from 149 sites were mainly compiled from permafrost studies on the Qinghai-Tibet Plateau and the Tian Shan (Zhao et al, 2010a;Luo, 2012Luo, , 2018bYu et al, 2013;Wu et al, 2015;Cao et al, 2017Cao et al, , 2018Ali et al, 2018;Wani et al, 2020) and Northeast China (Chang, 2011;He et al, 2018;Li et al, 2020b). Only the measurement data from the undisturbed (natural) sites were used.…”

Section: Field Measurement Datamentioning

confidence: 99%

New high-resolution estimates of the permafrost thermal state and hydrothermal conditions over the Northern Hemisphere

Ran

Cheng

et al. 2022

Earth Syst. Sci. Data

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121

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Abstract. Monitoring the thermal state of permafrost (TSP) is important in many environmental science and engineering applications. However, such data are generally unavailable, mainly due to the lack of ground observations and the uncertainty of traditional physical models. This study produces novel permafrost datasets for the Northern Hemisphere (NH), including predictions of the mean annual ground temperature (MAGT) at the depth of zero annual amplitude (DZAA) (approximately 3 to 25 m) and active layer thickness (ALT) with 1 km resolution for the period of 2000–2016, as well as estimates of the probability of permafrost occurrence and permafrost zonation based on hydrothermal conditions. These datasets integrate unprecedentedly large amounts of field data (1002 boreholes for MAGT and 452 sites for ALT) and multisource geospatial data, especially remote sensing data, using statistical learning modeling with an ensemble strategy. Thus, the resulting data are more accurate than those of previous circumpolar maps (bias = 0.02±0.16 ∘C and RMSE = 1.32±0.13 ∘C for MAGT; bias = 2.71±16.46 cm and RMSE = 86.93±19.61 cm for ALT). The datasets suggest that the areal extent of permafrost (MAGT ≤0 ∘C) in the NH, excluding glaciers and lakes, is approximately 14.77 (13.60–18.97) × 106 km2 and that the areal extent of permafrost regions (permafrost probability >0) is approximately 19.82×106 km2. The areal fractions of humid, semiarid/subhumid, and arid permafrost regions are 51.56 %, 45.07 %, and 3.37 %, respectively. The areal fractions of cold (≤-3.0 ∘C), cool (−3.0 ∘C to −1.5 ∘C), and warm (>-1.5 ∘C) permafrost regions are 37.80 %, 14.30 %, and 47.90 %, respectively. These new datasets based on the most comprehensive field data to date contribute to an updated understanding of the thermal state and zonation of permafrost in the NH. The datasets are potentially useful for various fields, such as climatology, hydrology, ecology, agriculture, public health, and engineering planning. All of the datasets are published through the National Tibetan Plateau Data Center (TPDC), and the link is https://doi.org/10.11888/Geocry.tpdc.271190 (Ran et al., 2021a).

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Section: Field Measurement Datamentioning

confidence: 99%

New high-resolution estimates of the permafrost thermal state and hydrothermal conditions over the Northern Hemisphere

Ran

Cheng

et al. 2022

Earth Syst. Sci. Data

Self Cite

121

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“…[23][24][25][26][27][28] Moreover, Northeast China is a region of highly frequent wildfires, and the occurrences of wildfires will also trigger and intensify permafrost degradation and a large amount of soil carbon and nitrogen emissions, resulting in positive feedback between climate warming and permafrost degradation. [29][30][31] Therefore, it is very important to timely and systematically study and simulate the distribution of permafrost in Northeast China and its dynamic changes.…”

Section: Introductionmentioning

confidence: 99%

TTOP‐model‐based maps of permafrost distribution in Northeast China for 1961–2020

Jin

Sun

et al. 2022

Permafrost & Periglacial

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Northeast China has experienced rapid and substantial climate warming over the past 60 years, and permafrost is degrading rapidly. In this study, permafrost distribution and extent in Northeast China were estimated from monitored ground surface temperatures using the temperature at the top of permafrost (TTOP) model and geographically weighted regression method. Using the TTOP model, the computed mean annual ground temperatures (MAGT@TOP) at the top of permafrost of Northeast China increased significantly from 1961–1990 (1.8°C) to 1991–2020 (3.0°C). The areal extents of permafrost defined by a subzero MAGT@TOP (MAGT@TOP ≤ 0°C) in Northeast China in the period 1961–1990 and 1991–2020 were estimated at 461.5 × 103 and 365.8 × 103 km2, respectively, indicating a decline of 95.7 × 103 km2. On average, the simulated MAGT@TOP values were 2.07°C lower than the observed MAGT@TOP values in boreholes. The linear correlation coefficient between the simulated and measured MAGT@TOP values was 0.63. Compared with the simulation results of other previous models, the result of this research is more reliable and accurate. The compiled maps of permafrost distribution can serve as an important reference for the study of permafrost changes in Northeast China.

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“…Furthermore, as the largest terrestrial biomes covering 11% of the Earth's terrestrial surfaces, hemiboreal forest is also extensively found in Northeast China (Jin et al, 2019). Boreal forests and wetlands are sensitive and vulnerable to anthropogenic activities and climate change (Li et al, 2020; Șerban et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Influence of wildfire on the rapidly changing features of patchy permafrost, Northeast China

Jin

et al. 2023

Land Degrad Dev

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As an active ecological agent in the boreal forest, wildfires have many important impacts on the underlying permafrost. However, investigations of post‐fire changes in the features of ecosystem‐protected permafrost are extremely limited in the patchy permafrost regions, Northeast China. Additionally, the impacts of wildfires on patchy permafrost are complicated in this region. In this paper, based on field surveys and observations, permafrost features and their influencing factors were analyzed in the area burned in 2006. The results showed notably lower soil temperatures in shrub‐wetland (NWH1, unburned and NWH2, light burn) in comparison with those in the birch‐larch forest (NWH3, light burn and NWH4, moderate burn). Changes in shallow ground temperatures (0–4 m in depth) were significant. Mean annual soil temperatures (MAST) and annual maximum soil temperature at the light‐burn NWH2 site were 0.3–5.2°C higher than those of unburned NWH1, but annual minimum soil temperatures, 0.3–2.1°C lower. MASTs at the moderately burned NWH4 were 0.6–1.6°C higher than those at the light‐burn NWH3. The active layer thickness (ALT) was greater at burned sites, and; at the moderately burned site, only seasonal frost was found when 13 years after the burn. The contents of soil organic carbon and total nitrogen were the highest at the unburned NWH1 from 0.0 to 0.4 m in depth, followed by those at the lightly‐burned NWH2 and NWH3, and the lowest at the moderately‐burned NWH4. Climate warming, forest fires, and changing local factors (e.g., soil moisture contents, snow cover, soil texture and drainage conditions) worked together to increase ground temperature and ALT. These research results could provide important scientific basis for the protection of boreal forest and wetlands and the ecosystem‐protected permafrost under a warming climate.

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Distributive features of soil carbon and nutrients in permafrost regions affected by forest fires in northern Da Xing’anling (Hinggan) Mountains, NE China

Cited by 29 publications

References 55 publications

New high-resolution estimates of the permafrost thermal state and hydrothermal conditions over the Northern Hemisphere

New high-resolution estimates of the permafrost thermal state and hydrothermal conditions over the Northern Hemisphere

TTOP‐model‐based maps of permafrost distribution in Northeast China for 1961–2020

Influence of wildfire on the rapidly changing features of patchy permafrost, Northeast China

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