Variation and control of soil organic carbon and other nutrients in permafrost regions on central Qinghai-Tibetan Plateau
The variation and control of soil organic carbon (SOC) and other nutrients in permafrost regions are critical for studying the carbon cycle and its potential feedbacks to climate change; however, they are poorly understood. Soil nutrients samples at depths of 0–10, 10–20, 20–30, and 30–40 cm, were s...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2014-01-01
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| Series: | Environmental Research Letters |
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| Online Access: | https://doi.org/10.1088/1748-9326/9/11/114013 |
| _version_ | 1797748020471660544 |
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| author | Wenjie Liu Shengyun Chen Qian Zhao Zhizhong Sun Jiawen Ren Dahe Qin |
| author_facet | Wenjie Liu Shengyun Chen Qian Zhao Zhizhong Sun Jiawen Ren Dahe Qin |
| author_sort | Wenjie Liu |
| collection | DOAJ |
| description | The variation and control of soil organic carbon (SOC) and other nutrients in permafrost regions are critical for studying the carbon cycle and its potential feedbacks to climate change; however, they are poorly understood. Soil nutrients samples at depths of 0–10, 10–20, 20–30, and 30–40 cm, were sampled eight times in 2009 in alpine swamp meadow, alpine meadow and alpine steppe in permafrost regions of the central Qinghai-Tibetan Plateau. SOC and total nitrogen (TN) in the alpine swamp meadow and meadow decreased with soil depth, whereas the highest SOC content in the alpine steppe was found at depths of 20–30 cm. The vertical profiles of total and available phosphorus (P) and potassium (K) were relatively uniform for all the three grassland types. Correlation and linear regression analyses showed that soil moisture (SM) was the most important parameter for the vertical variation of SOC and other soil nutrients, and that belowground biomass (BGB) was the main source of SOC and TN. The spatial variations (including seasonal variation) of SOC and TN at plot scale were large. The relative deviation of SOC ranged from 7.18 to 41.50 in the alpine swamp meadow, from 2.88 to 35.91 in the alpine meadow, and from 9.33 to 68.38 in the alpine steppe. The spatial variations in the other soil nutrients varied among different grassland types. The most important factors for spatial variations (including seasonal variation) of SOC, TN, total P, available P, and both total and available K were: SM, SM and temperature, SM, air temperature, and SM and BGB, respectively. The large variation in the three grassland types implies that spatial variation at plot scale should be considered when estimating SOC storage and its dynamics. |
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| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T15:59:54Z |
| publishDate | 2014-01-01 |
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| spelling | doaj.art-b83cfeccccf54b55a6cb8b1d393e8f6c2023-08-09T14:43:08ZengIOP PublishingEnvironmental Research Letters1748-93262014-01-0191111401310.1088/1748-9326/9/11/114013Variation and control of soil organic carbon and other nutrients in permafrost regions on central Qinghai-Tibetan PlateauWenjie Liu0Shengyun Chen1Qian Zhao2Zhizhong Sun3Jiawen Ren4Dahe Qin5State Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou Gansu 730000, People’s Republic of China; Qilian Shan Station of Glaciology and Ecologic Environment, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou Gansu 730000, People’s Republic of ChinaState Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou Gansu 730000, People’s Republic of China; Qilian Shan Station of Glaciology and Ecologic Environment, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou Gansu 730000, People’s Republic of ChinaState Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou Gansu 730000, People’s Republic of China; Qilian Shan Station of Glaciology and Ecologic Environment, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou Gansu 730000, People’s Republic of China; University of Chinese Academy of Sciences , Beijing 100049, People’s Republic of ChinaBeiluhe Observation and Research Station on Frozen Soil Engineering and Environment in Qinghai-Tibet Plateau, State Key Laboratory of Frozen Soil Engineering, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou Gansu 730000, People’s Republic of ChinaState Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou Gansu 730000, People’s Republic of ChinaState Key Laboratory of Cryospheric Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou Gansu 730000, People’s Republic of ChinaThe variation and control of soil organic carbon (SOC) and other nutrients in permafrost regions are critical for studying the carbon cycle and its potential feedbacks to climate change; however, they are poorly understood. Soil nutrients samples at depths of 0–10, 10–20, 20–30, and 30–40 cm, were sampled eight times in 2009 in alpine swamp meadow, alpine meadow and alpine steppe in permafrost regions of the central Qinghai-Tibetan Plateau. SOC and total nitrogen (TN) in the alpine swamp meadow and meadow decreased with soil depth, whereas the highest SOC content in the alpine steppe was found at depths of 20–30 cm. The vertical profiles of total and available phosphorus (P) and potassium (K) were relatively uniform for all the three grassland types. Correlation and linear regression analyses showed that soil moisture (SM) was the most important parameter for the vertical variation of SOC and other soil nutrients, and that belowground biomass (BGB) was the main source of SOC and TN. The spatial variations (including seasonal variation) of SOC and TN at plot scale were large. The relative deviation of SOC ranged from 7.18 to 41.50 in the alpine swamp meadow, from 2.88 to 35.91 in the alpine meadow, and from 9.33 to 68.38 in the alpine steppe. The spatial variations in the other soil nutrients varied among different grassland types. The most important factors for spatial variations (including seasonal variation) of SOC, TN, total P, available P, and both total and available K were: SM, SM and temperature, SM, air temperature, and SM and BGB, respectively. The large variation in the three grassland types implies that spatial variation at plot scale should be considered when estimating SOC storage and its dynamics.https://doi.org/10.1088/1748-9326/9/11/114013permafrostalpine grasslandbelowground biomasssoil moisturesoil temperature |
| spellingShingle | Wenjie Liu Shengyun Chen Qian Zhao Zhizhong Sun Jiawen Ren Dahe Qin Variation and control of soil organic carbon and other nutrients in permafrost regions on central Qinghai-Tibetan Plateau Environmental Research Letters permafrost alpine grassland belowground biomass soil moisture soil temperature |
| title | Variation and control of soil organic carbon and other nutrients in permafrost regions on central Qinghai-Tibetan Plateau |
| title_full | Variation and control of soil organic carbon and other nutrients in permafrost regions on central Qinghai-Tibetan Plateau |
| title_fullStr | Variation and control of soil organic carbon and other nutrients in permafrost regions on central Qinghai-Tibetan Plateau |
| title_full_unstemmed | Variation and control of soil organic carbon and other nutrients in permafrost regions on central Qinghai-Tibetan Plateau |
| title_short | Variation and control of soil organic carbon and other nutrients in permafrost regions on central Qinghai-Tibetan Plateau |
| title_sort | variation and control of soil organic carbon and other nutrients in permafrost regions on central qinghai tibetan plateau |
| topic | permafrost alpine grassland belowground biomass soil moisture soil temperature |
| url | https://doi.org/10.1088/1748-9326/9/11/114013 |
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