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    <identifier>10.57760/sciencedb.36264</identifier>
    <datestamp>2026-01-30T16:08:59Z</datestamp>
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  <dc:date>2026-01-30</dc:date>
  <dc:title>LPJ-GUESS simulations of vegetation carbon-water dynamics under global change scenarios in Qinghai-Tibetan Plateau (1979-2018)</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.36264</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset contains outputs from the LPJ-GUESS (Lund-Potsdam-Jena General Ecosystem Simulator) dynamic global vegetation model for the period from 1979 to 2018 over the Qinghai-Tibetan Plateau, driven by daily gridded climate data at a spatial resolution of 0.1&amp;deg; from the China Meteorological Forcing Data. Following localized parameterization, the model was run under four simulation experiments with different combinations of [CO2] and temperature: (1) a historical scenario (Shis), in which both [CO2] and temperature varied according to historical observations; (2) a fixed-CO2&amp;nbsp;scenario (SfCO2,iTemp), in which [CO2] was held constant at the 1979 level (336.84 ppm), while temperature varied; (3) a fixed-temperature scenario (SiCO2,fTemp), in which temperature for each day was held constant at the 1979 level, while [CO2] varied according to observations; and (4) a fully fixed scenario (SfCO2,fTemp), in which both [CO2] and temperature were held constant at their 1979 values. The dataset provides annual outputs of key ecosystem variables, including gross primary productivity (GPP), foliar projective cover (FPC), plant&amp;nbsp;transpiration (Trans), and&amp;nbsp;evapotranspiration (ET), enabling the investigation of vegetation carbon-water dynamics and ecosystem responses to global change on the Qinghai-Tibetan Plateau.</dc:description>
  <dc:subject>LPJ-GUESS; Qinghai-Tibetan Plateau; global change</dc:subject>
  <dc:creator>Mingkai Jiang</dc:creator>
  <dc:creator>He Lyu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1038/s43247-026-03308-2</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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