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期刊名称

  • agricultural and forest meteorology(1)

关键词

  • carbon and water fluxes; temporal scale; canopy interception; improved biome-bgc model; subtropical coniferous forest(1)

作者

  • Zhao, Fen AND Gao, Qingzhu AND Xia, Lang AND Wang, Jiao AND Shang, Hua(0)

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  • chinese acad agr sci, inst agr resources & reg planning, state key lab efficient utilizat arid & semiarid a, beijing 100081, peoples r china(1)
  • chinese acad agr sci, inst environm & sustainable dev agr, beijing 100081, peoples r china(1)
  • chinese acad sci, inst geog sci & nat resources res, cas engn lab yellow river delta modern agr, beijing 100101, peoples r china(1)
  • rutgers state univ, dept ecol evolut & nat resources, new brunswick, nj 08901 usa(1)

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年份

  • 2024(1)
科研产出
资源类型: 外文期刊
作者:Zhao, Fen(精确检索)
作者:Gao, Qingzhu(精确检索)
作者:Xia, Lang(精确检索)
作者:Wang, Jiao(精确检索)
作者:Shang, Hua(精确检索)
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1An improved canopy interception scheme into biogeochemical model for precise simulation of carbon and water fluxes in subtropical coniferous forest

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来源：AGRICULTURAL AND FOREST METEOROLOGY

关键词： Carbon and water fluxes; Temporal scale; Canopy interception; Improved Biome-BGC model; Subtropical coniferous forest

年份：2024

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