Modelling the effects of needle mortality rate and needle area distribution on dry matter production of Douglas fir.

Modelling the effects of needle mortality rate and needle area distribution on dry matter production of Douglas fir.
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模拟针死亡率和针面积分布对花旗松干物质生产的影响。

DOI:
10.18174/njas.v38i1.16610
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发表时间:
1990
期刊:
Netherlands Journal of Agricultural Science
影响因子:
--
通讯作者:
H. Bartelink
H. Bartelink
中科院分区:
--
文献类型:
--
作者:
G. Mohren;H. Bartelink

文献摘要

被引文献

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利用生理模拟模型分析了针叶死亡率增加和针叶面积分布(LAI)变化对道格拉斯冷杉林分初级生产力的影响。针叶的寿命可能会因空气污染和土壤酸化而减少,这是森林衰退的一个重要方面。结果表明,模拟模型可以用来研究这些现象在林分中可能产生的后果。该模型量化了总叶面积指数和林分生长之间的关系(考虑了由于针叶面积分布和针叶聚集而导致的冠层内不同的光分布)。提高针叶死亡率的效果强烈依赖于初始叶面积指数:在较低的初始叶面积指数下,由于针叶死亡率的增加和光截获的减少,生产力将下降;在高初始叶面积指数时,光截获不一定随着针叶死亡率的增加而显著减少,但由于维持呼吸的减少,生产力甚至可能增加。对这些影响进行了讨论,并与叶面积指数相对较低的樟子松等其他树种进行了比较。作者建议在森林衰退清单中使用更多的定量技术(例如,根据光截留测量来估计叶面积指数),以解释这些叶面积指数的差异。(摘要由CABI许可从CAB摘要中检索)
A physiological simulation model was used to analyse the effects of increased needle mortality rate and changes in needle area distribution (LAI) on primary production of a Douglas fir (Pseudotsuga menziesii) stand. Needle life-span, which may decrease as a result of air pollution and soil acidification, is an important aspect of forest decline. Results show that simulation models can be used to study the possible consequences of these phenomena in forest stands. The model quantified the relationship between total LAI and stand growth (taking into account different light distributions within the canopy that result from needle area distribution and clustering of needles). The effect of an increase in needle mortality rate was strongly dependent on initial LAI: at low initial LAI, productivity will decrease as a result of an increase in needle mortality and decreased light interception; at high initial LAI, light interception does not necessarily decrease significantly when needle mortality increases, but productivity may even increase because of decreased maintenance respiration. These effects are discussed, and compared with other species, such as Scots pine (Pinus sylvestris) which has a relatively low LAI. The authors recommend using more quantitative techniques in forest decline inventories (e.g. estimating LAI from light interception measurements) in order to account for these LAI differences. (Abstract retrieved from CAB Abstracts by CABI’s permission)