Higher recent peat C accumulation than that during the Holocene on the Zoige Plateau

Wang, Mei; Yang, Guanying; Gao, Yongheng; Chen, Huai; Wu, Ning; Peng, Changhui; Zhu, Qiuan; Zhu, Dan; Wu, Jianghua; He, Yixin; Tian, Jianqing; Zhao, Xinquan; Zhang, Yao

doi:10.1016/j.quascirev.2015.01.025

Cited by 35 publications

(27 citation statements)

References 65 publications

(79 reference statements)

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“…The Zoige Plateau (101˝30 1 -103˝30 1 E, 32˝20 1 -34˝00 1 N, 3400 m a.s.l), located at the eastern edge of the Qinghai-Tibetan Plateau in China (Figure 1a), covers an area of approximately 4600 km 2 of peatlands [32]. It is regarded as one of the largest alpine peat swamp in the world with about 40 percent of peat stocks in China [33].…”

Section: Study Areamentioning

confidence: 99%

Simulation of the Grazing Effects on Grassland Aboveground Net Primary Production Using DNDC Model Combined with Time-Series Remote Sensing Data—A Case Study in Zoige Plateau, China

Wang

Bian

2016

Remote Sensing

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Abstract:Measuring the impact of livestock grazing on grassland above-ground net primary production (ANPP) is essential for grass yield estimation and pasture management. However, since there is a lack of accurate and repeatable techniques to obtain the details of grazing locations and stocking rates at the regional scale, it is an extremely challenging task to study the influence of regional grazing on the grassland ANPP. Taking Zoige County as a case, this paper proposes an approach to quantify the spatial and temporal variation of grazing intensity and grazing period through time-series remote sensing data, simulated grassland ANPP through the denitrification and decomposition (DNDC) model, and then explores the impact of grazing on grassland ANPP. The result showed that the model-estimated ANPP while considering grazing had a significant relationship with the field-observed ANPP, with the coefficient of determination (R 2 ) of 0.75, root mean square error (RMSE) of 122.86 kgC/ha, and average relative error (RE) of 8.77%. On the contrary, if grazing activity was not considered in simulation, a large uncertainty was found when the model-estimated ANPP was compared with the field observation, showing R 2 of 0.4, RMSE of 211.51 kgC/ha, and average RE of 32.5%. For the whole area of Zoige County in 2012, the statistics of the estimation showed that the total regional ANPP was up to 3.815ˆ10 5 tC, while the total regional ANPP, without considering grazing, would be overestimated by 44.4%, up to 5.51ˆ10 5 tC. This indicates that the grazing parameters derived in this study could effectively improve the accuracy of ANPP simulation results. Therefore, it is feasible to combine time-series remote sensing data with the process model to simulate the grazing effects on grassland ANPP. However, some issues, such as selecting proper remote sensing data, improving the quality of model input parameters, collecting more field data, and exploring the data assimilation approaches, still should be considered in the future work.

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Section: Study Areamentioning

confidence: 99%

Simulation of the Grazing Effects on Grassland Aboveground Net Primary Production Using DNDC Model Combined with Time-Series Remote Sensing Data—A Case Study in Zoige Plateau, China

Wang

Bian

2016

Remote Sensing

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“…The known data were about the 8 cm depth detected by 137 Cs in Wang et al, 2015 and the 91-100 depth detected by 14 C in Chen et al, 2014. Thus the 10-20 cm soil age was calculated based on the recent carbon accumulate rate in Wang et al, 2015, and the 21-90 cm soil age was calculated based on an average accumulate rate (Table 1) …”

Section: Soil Character Analysismentioning

confidence: 99%

“…MBC concentration and the activities of phenol oxidase, peroxidase and cellulase decreased substantially with the depth (P b 0.05, Table 1). Calculated from the assumption of stable accumulation rate and the age of soil carbon of 4340 Cal BP at 90-100 cm as detected by 14 C in Chen et al (2014) and 137 Cs in Wang et al (2015), the peat age of each 10 cm interval was found to be 52 -4340 yr BP (Table 1).…”

Section: Soil Characteristicsmentioning

confidence: 99%

“…Different letters among depths indicate significant differences (Duncan test; P b 0.05 for lowercase and P b 0.01 for uppercase). $ : data from (Wang et al, 2015), with soil collected at the same field at Riganqiao. & : data calculated based on peat accumulation rate as 0.9 mm/yr at 10-20 cm in (Wang et al, 2015).…”

Section: Variations Of Mbc Concentration and Enzyme Activity During Imentioning

confidence: 99%

“…$ : data from (Wang et al, 2015), with soil collected at the same field at Riganqiao. & : data calculated based on peat accumulation rate as 0.9 mm/yr at 10-20 cm in (Wang et al, 2015). ⁎ : data from , with soil collected at the same field at Riganqiao.…”

Section: Variations Of Mbc Concentration and Enzyme Activity During Imentioning

confidence: 99%

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Responses of peat carbon at different depths to simulated warming and oxidizing

Liu

Chen

Zhu

et al. 2016

Science of The Total Environment

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Paleoenvironment change and its impact on carbon and nitrogen accumulation in the Zoige wetland, northeastern Qinghai‐Tibetan Plateau over the past 14,000 years

Zeng

Zhu

Song

et al. 2017

Geochem Geophys Geosyst

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As the largest alpine wetland and peat deposition area in China, the Zoige wetland is climatically sensitive. The organic matter (OM) in peat stores copious environmental information. Here we report new data on the organic geochemistry of a 4.5 m peat profile HY2014 from southern Zoige wetland. Based on closely spaced accelerator mass spectrometry (AMS) 14C dating, we established a high‐resolution geochronological framework beginning at 14,057 a BP. Moreover, we estimated the sedimentation flux of TOC and TN (SFs) and their influencing factors. Before 10,916 a BP, the lake shrunk and peat began to develop under cold and dry conditions, and SFs were at their lowest values due to low productivity. More OM originated from hydrophyte and marsh plants. From 10,916 to 3050 a BP, peat was widely and well developed, and the climate was warm and humid, despite a cooling and drying trend. The HY2014 profile experienced an optimum climate during 10,916 − 6000 a BP, when SFs had the highest values that benefited from high productivity, and OM mainly originated from terrestrial plants. After 3050 a BP, the climate was the coldest and driest. The high SFs over the past 2000 a BP were mainly resulted from the low decomposition rate. The plant community, primary productivity, and decomposition rate were closely linked with the temporal variation of SFs. The environment change was mainly controlled by summer solar insolation, and the Zoige wetland was significantly influenced by the Indian summer monsoon.

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Higher recent peat C accumulation than that during the Holocene on the Zoige Plateau

Cited by 35 publications

References 65 publications

Simulation of the Grazing Effects on Grassland Aboveground Net Primary Production Using DNDC Model Combined with Time-Series Remote Sensing Data—A Case Study in Zoige Plateau, China

Simulation of the Grazing Effects on Grassland Aboveground Net Primary Production Using DNDC Model Combined with Time-Series Remote Sensing Data—A Case Study in Zoige Plateau, China

Responses of peat carbon at different depths to simulated warming and oxidizing

Paleoenvironment change and its impact on carbon and nitrogen accumulation in the Zoige wetland, northeastern Qinghai‐Tibetan Plateau over the past 14,000 years

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