Climate warming benefits plant growth but net carbon uptake: Simulation of Alaska tundra and needle leaf forest using LPJ-GUESS
Cite this dataset
Wu, Xiaodong (2022). Climate warming benefits plant growth but net carbon uptake: Simulation of Alaska tundra and needle leaf forest using LPJ-GUESS [Dataset]. Dryad. https://doi.org/10.5061/dryad.m63xsj451
Abstract
Climate warming has important effects on Arctic vegetation, but the roles of Arctic vegetation as a carbon sink or source in the future remain largely unknown. In this study, we selected the tundra and needle leaf forest areas in Alaska to examine vegetation growth and carbon exchange using the LPJ-GUESS model. We used flux site data to verify the accuracy of GPP and NEE simulated with climate variables, then simulated GPP and NEE from 1992 to 2014 and GPP and NEE from 2020 to 2100 under different climate scenarios, and compared the GPP and LAI simulated by the model with those under future scenarios. We used LPJ-GUESS model to explore the importance of climate variables on GPP and NEE.
Methods
Datasets include:
- Precipitation changes in the future
- Temperature changes in the future
- Solar radiation changes in the future
- Simulated and observed NEE and GPP
- Monthly NEE and GPP
- Changes in NEE and GPP from 1992 to 2014
- Changes in NEE and GPP from 2020 to 2100
- Comparison of GPP value between model simulation and ESM output
- Comparison of LAI value between model simulation and ESM output
- Changes in NEE and GPP from 2020 to 2100 by re-driving in ATQ
- Changes in NEE and GPP from 2020 to 2100 by re-driving in PRR
Funding
National Natural Science Foundation of China, Award: 41941015