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期刊名称

agricultural and forest meteorology(1)

关键词

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

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作者

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

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cas engineering laboratory for yellow river delta modern agriculture, institute of geographic sciences and natural resources research, chinese academy of sciences,beijing 100101, china(1)
department of ecology, evolution and natural resources, rutgers university, new brunswick, nj 08901, usa(1)
institute of environment and sustainable development in agriculture, chinese academy of agricultural sciences, beijing 100081, china(1)
state key laboratory of efficient utilization of arid and semi-arid arable land in northern china, institute of agricultural resources and regional planning, chinese academy of agricultural sciences, beijing, 100081, china(1)

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2024(1)

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资源类型: 外文期刊

作者:Fen Zhao(精确检索)

作者:Jiao Wang(精确检索)

作者:Hua Shang(精确检索)

作者:Lang Xia(精确检索)

作者:Qingzhu Gao(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

作者： Fen Zhao; Jiao Wang; Hua Shang; Lang Xia; Qingzhu Gao; SCIE（2024版）

机构： Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China; CAS Engineering Laboratory for Yellow River Delta Modern Agriculture, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences,Beijing 100101, China; Department of Ecology, Evolution and Natural Resources, Rutgers University, New Brunswick, NJ 08901, USA; State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China;

来源：Agricultural and Forest Meteorology

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