# Title of Dataset:Climate warming benefits plant growth but net carbon uptake: Simulation of Alaska tundra and needle leaf forest using LPJ-GUESS ------------------ These files include all the original data in the paper entitled "Climate warming benefits plant growth but net carbon uptake: Simulation of Alaska tundra and needle leaf forest using LPJ-GUESS". 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. ## Description of the Data and file structure Summary Metrics --------------- * File count: 11 * Total file size: 64.7KB * Range of individual file sizes: 1KB - 10KB * File formats: .csv Table of Contents ----------------- * changes_in_NEE_and_GPP_from_1992_to_2014.csv * changes_in_NEE_and_GPP_from_2020_to_2100.csv * changes_in_NEE_and_GPP_from_2020_to_2100_by_re-driving_in_ATQ.csv * changes_in_NEE_and_GPP_from_2020_to_2100_by_re-driving_in_PRR.csv * comparison_of_GPP_value_between_model_simulation_and_ESM_output.csv * comparison_of_LAI_value_between_model_simulation_and_ESM_output.csv * monthly_NEE_and_GPP.csv * precipitation_changes_in_the_future.csv * simulated_and_observed_NEE_and_GPP.csv *solar_radiation_changes__in_the_future.csv *temperature_changes_in_the_future.csv * Variables: ----- *CO2:Mole Fraction of CO2;Unit:mol mol-1 *Pr:Precipitation;Unit:mm *Ta:Air Temperature;Unit:℃ *Rss:Net Shortwave Surface Radiation;Unit:W m-2 *GPP:Gross Primary Production;Unit:gC m-2 yr-1 *NEE:Net Ecosystem Exchanges;Unit:gC m-2 yr-1 *LAI:Leaf Area Index;Unit:1 ----- ATQ:Atqasuk, with the site name US-ATQ (70.47°N, 157.41°W). PRR:The Poker Flat Research Range Black Spruce Forest, with the site name of US-PRR (65.12°N, 147.48°W). ------- *changes_in_NEE_and_GPP_from_2020_to_2100.csv Time(a):Simulation of GPP in ATQ site. Time(b):Simulation of NEE in ATQ site. Time(c):Simulation of GPP in PRR site. Time(d):Simulation of NEE in PRR site. * changes_in_NEE_and_GPP_from_2020_to_2100_by_re-driving_in_ATQ.csv Time(a):Simulation of GPP in ATQ. Based on the SSP1-2.6 scenario, we changed the climate factor to the factor corresponding to the SSP2-4.5 path to re-drive the model. Time(b):Simulation of GPP in ATQ. Based on the SSP1-2.6 scenario, we changed the climate factor to the factor corresponding to the SSP5-8.5 path to re-drive the model. Time(c):Simulation of NEE in ATQ. Based on the SSP1-2.6 scenario, we changed the climate factor to the factor corresponding to the SSP2-4.5 path to re-drive the model. Time(d):Simulation of NEE in ATQ. Based on the SSP1-2.6 scenario, we changed the climate factor to the factor corresponding to the SSP5-8.5 path to re-drive the model. * changes_in_NEE_and_GPP_from_2020_to_2100_by_re-driving_in_PRR.csv Time(a):Simulation of GPP in PRR. Based on the SSP1-2.6 scenario, we changed the climate factor to the factor corresponding to the SSP2-4.5 path to re-drive the model. Time(b):Simulation of GPP in PRR. Based on the SSP1-2.6 scenario, we changed the climate factor to the factor corresponding to the SSP5-8.5 path to re-drive the model. Time(c):Simulation of NEE in PRR. Based on the SSP1-2.6 scenario, we changed the climate factor to the factor corresponding to the SSP2-4.5 path to re-drive the model. Time(d):Simulation of NEE in PRR. Based on the SSP1-2.6 scenario, we changed the climate factor to the factor corresponding to the SSP5-8.5 path to re-drive the model. * comparison_of_GPP_value_between_model_simulation_and_ESM_output.csv Time(a):GPP in SSP1-2.6 scenario in ATQ site. Time(b):GPP in SSP2-4.5 scenario in ATQ site. Time(c):GPP in SSP5-8.5 scenario in ATQ site. Time(d):GPP in SSP1-2.6 scenario in PRR site. Time(e):GPP in SSP2-4.5 scenario in PRR site. Time(f):GPP in SSP5-8.5 scenario in PRR site. * comparison_of_LAI_value_between_model_simulation_and_ESM_output.csv Time(a):LAI in SSP1-2.6 scenario in ATQ site. Time(b):LAI in SSP2-4.5 scenario in ATQ site. Time(c):LAI in SSP5-8.5 scenario in ATQ site. Time(d):LAI in SSP1-2.6 scenario in PRR site. Time(e):LAI in SSP2-4.5 scenario in PRR site. Time(f):LAI in SSP5-8.5 scenario in PRR site. * precipitation_changes_in_the_future.csv Time(ATQ):Pr in ATQ site. Time(PRR): Pr in PRR site. *solar_radiation_changes__in_the_future.csv Time(ATQ):Rss in ATQ site. Time(PRR): Rss in PRR site. *temperature_changes_in_the_future.csv Time(ATQ):Ta in ATQ site. Time(PRR): Ta in PRR site. ## Sharing/access Information Precipitation, temperature, solar radiation, carbon dioxide, gross primary production (GPP) and leaf area index (LAI) for three climate scenarios SSP1-2.6, SSP2-4.5 and SSP5-8.5 were downloaded from the website (https://esgf-node.llnl.gov/search/cmip6/). The climate data for the ATQ tundra and the PRR needle leaf forest sites (1992-2014), including the monthly precipitation, monthly air temperatures, monthly solar radiation and the annual atmospheric carbon dioxide concentrations, were downloaded from the website (https://fluxnet.org/data/download-data/).