Remotely monitoring ecosystem respiration from various grasslands along a large-scale east-west transect across northern China
文献类型：期刊论文
| 作者 | Tang, Xuguang; Zhou, Yanlian; Li, Hengpeng; Yao, Li; Ding, Zhi; Ma, Mingguo; Yu, Pujia |
| 刊名 | CARBON BALANCE AND MANAGEMENT
 |
| 出版日期 | 2020 |
| 卷号 | 15期号:1 |
| 英文摘要 | Background Grassland ecosystems play an important role in the terrestrial carbon cycles through carbon emission by ecosystem respiration (R-e) and carbon uptake by plant photosynthesis (GPP). Surprisingly, given R-e occupies a large component of annual carbon balance, rather less attention has been paid to developing the estimates of R-e compared to GPP. Results Based on 11 flux sites over the diverse grassland ecosystems in northern China, this study examined the amounts of carbon released by R-e as well as the dominant environmental controls across temperate meadow steppe, typical steppe, desert steppe and alpine meadow, respectively. Multi-year mean R-e revealed relatively less CO2 emitted by the desert steppe in comparison with other grassland ecosystems. Meanwhile, C emissions of all grasslands were mainly controlled by the growing period. Correlation analysis revealed that apart from air and soil temperature, soil water content exerted a strong effect on the variability in R-e, which implied the great potential to derive R-e using relevant remote sensing data. Then, these field-measured R-e data were up-scaled to large areas using time-series MODIS information and remote sensing-based piecewise regression models. These semi-empirical models appeared to work well with a small margin of error (R-2 and RMSE ranged from 0.45 to 0.88 and from 0.21 to 0.69 g C m(-2) d(-1), respectively). Conclusions Generally, the piecewise models from the growth period and dormant season performed better than model developed directly from the entire year. Moreover, the biases between annual mean R-e observations and the remotely-derived products were usually within 20%. Finally, the regional R-e emissions across northern China's grasslands was approximately 100.66 Tg C in 2010, about 1/3 of carbon fixed from the MODIS GPP product. Specially, the desert steppe exhibited the highest ratio, followed by the temperate meadow steppe, typical steppe and alpine meadow. Therefore, this work provides a novel framework to accurately predict the spatio-temporal patterns of R-e over large areas, which can greatly reduce the uncertainties in global carbon estimates and climate projections. |
| 源URL | [http://159.226.73.51/handle/332005/20202]  |
| 专题 | 中国科学院南京地理与湖泊研究所 |
| 推荐引用方式 GB/T 7714 | Tang, Xuguang,Zhou, Yanlian,Li, Hengpeng,et al. Remotely monitoring ecosystem respiration from various grasslands along a large-scale east-west transect across northern China[J]. CARBON BALANCE AND MANAGEMENT,2020,15(1). |
| APA | Tang, Xuguang.,Zhou, Yanlian.,Li, Hengpeng.,Yao, Li.,Ding, Zhi.,...&Yu, Pujia.(2020).Remotely monitoring ecosystem respiration from various grasslands along a large-scale east-west transect across northern China.CARBON BALANCE AND MANAGEMENT,15(1). |
| MLA | Tang, Xuguang,et al."Remotely monitoring ecosystem respiration from various grasslands along a large-scale east-west transect across northern China".CARBON BALANCE AND MANAGEMENT 15.1(2020). |
入库方式： OAI收割
来源：南京地理与湖泊研究所
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