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首页> 外文期刊>Scandinavian Journal of Forest Research >Modeling stem volume growth of Qinghai spruce (Picea crassifolia Kom.) in Qilian Mountains of Northwest China
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Modeling stem volume growth of Qinghai spruce (Picea crassifolia Kom.) in Qilian Mountains of Northwest China

机译:西北祁连山青海云杉(Picea crassifolia Kom。)茎干生长模拟

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摘要

Qinghai spruce (Picea crassifolia Kom.), the dominant species in Qilian Mountains of Northwest China, has an important role in ecological service function, especially in carbon sequestration. The current work simulated stem volume growth of Qinghai spruce at individual and stand levels using a widespread bio-geochemical cycle (BIOME-BGC) model and considering the crown projection area (CPA). CPA was introduced because photosynthesis was only carried out on the vegetation canopy. The results showed that: (1) the CPA-simulated stem volume of individual Qinghai spruce in the three sites fitted well with the observed stem volume; (2) the introduction of CPA corrected the over-predicted stem volume for relatively younger stands and the under-predicted stem volume for relatively older stands in BIOME-BGC; and (3) meteorological factors may be crucial parameters that influence the model accuracy, aside from CPA. Therefore, CPA should be considered in correcting the carbon simulated by BIOME-BGC, and the meteorological data should be improved to obtain high-accuracy BIOME-BGC outputs.
机译:青海云杉(Picea crassifolia Kom。)是中国西北祁连山的优势种,在生态服务功能,尤其是固碳方面具有重要作用。目前的工作使用广泛的生物地球化学循环(BIOME-BGC)模型并考虑树冠投影面积(CPA),模拟了青海云杉在个体和林分水平上茎的生长。引入CPA是因为仅在植被冠层上进行了光合作用。结果表明:(1)CPA模拟的青海云杉三个部位的茎秆体积与观察到的茎秆体积非常吻合; (2)引入CPA纠正了BIOME-BGC中相对年轻的林分的过高预测的茎体积和相对较旧的林分的过低预测的茎体积; (3)除了CPA,气象因素可能是影响模型准确性的关键参数。因此,在校正BIOME-BGC模拟的碳时应考虑CPA,并应改进气象数据以获得高精度BIOME-BGC输出。

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