Predicting annual canopy litterfall production for Norway spruce (Picea abies (L.) Karst.) stands
Predicting annual canopy litterfall production for Norway spruce (Picea abies (L.) Karst.) stands
复制标题
DOI：
10.1016/j.foreco.2007.01.071
复制
发表时间：
2007-04
影响因子：
3.7
通讯作者：
A. Saarsalmi;M. Starr;T. Hokkanen;L. Ukonmaanaho;M. Kukkola;P. Nöjd;R. Sievänen
中科院分区：
文献类型：
--
作者：
A. Saarsalmi;M. Starr;T. Hokkanen;L. Ukonmaanaho;M. Kukkola;P. Nöjd;R. Sievänen
Canopy annual litterfall production in 18 Norway spruce stands in Finland was studied and predictive models developed. The stands ranged in age from 32 to 163 years old and located at latitudes from 60 to 68°N. Stand litterfall had been continuously collected using 6–12 traps per stand for periods of 1–43 years. Dry weight annual total litterfall production (LFtotal) values ranged from 44 to 677gm−2and needle litterfall production (LFneedle) values from 27 to 465gm−2. Stand characteristics (stocking density, height, breast height diameter, stem volume and basal area) were measured and canopy needle biomass estimated using an allometric function. Both mean LFtotaland LFneedlewere significantly and negatively correlated with latitude, which was considered to reflect the effects of climate. Of the stand characteristics, mean height was the most important. More detailed analysis revealed that observed inter-annular variability in both LFtotaland LFneedlewas related to the effective temperature sum, July temperature and annual precipitation amount, and that significant lag effects for up to 3 years occurred. Multiple linear regression (MLR) models could explain 88% and 82% of the variation respectively in mean LFtotaland LFneedlewhen only stand and site variables were allowed to enter the model. Corresponding S.E.estvalues, reflecting model precision, were 33 and 23gm−2. Interestingly, latitude did not enter the model. MLR models to predict LFtotaland LFneedlefor any specific year (by allowing specific weather variables to enter) explained 80% of LFtotalvariability and nearly 70% of LFneedlevariability. After testing the models with an independent data set from Sweden, we concluded that the models can be used to predict annual canopy litterfall of mature Norway spruce stands for sites in the boreal zone.
