根据地形、林分特征设置具有代表性的样地,计9块油松林(Pinus tabulaeformis Forest)和11块侧柏林(Platycladus orientalis Forest),记录林分的地形、林分因子,林下植被特征,利用收获法调查地表枯落物、草本及灌木的...
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Natural Pinus tabulaeformis forest 天然油松林
secondary Pinus tabulaeformis forest 次生油松林
aerial Pinus tabulaeformis forest 油松飞播林
Pinus tabulaeformis forest areal 油松林分布区
Artificial Pinus tabulaeformis forest 人工油松林
secondary natural Pinus tabulaeformis forest 油松天然次生林
BIOME-BGC was used to simulate net primary productivity(NPP) of a Pinus tabulaeformis forest in Beijing Shisanling Forest Farm in response to different climate change scenarios.
应用BIOME-BGC模型模拟北京十三陵林场油松林净初级生产力对不同气候变化情景的响应。
参考来源 - 北京山区油松林净初级生产力对气候变化情景的响应·2,447,543篇论文数据,部分数据来源于NoteExpress
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