岷江干旱河谷区峨眉蔷薇地上生物量及模型研究Study on Aboveground Biomass and Model of Rosa omeiensi in Dry Valley of the Minjiang River
张军,章路,张琴,郑绍伟,慕长龙,黎燕琼
ZHANG Jun,ZHANG Lu,ZHANG Qin,ZHENG Shaowei,MU Changlong,LI Yanqiong
摘要(Abstract)：
岷江干旱河谷区是植被恢复困难地带,研究峨眉蔷薇生物量及模型,可对岷江干旱河谷区植被保护与恢复工作提供科学理论依据。研究结果表明:(1)不同径级的峨眉蔷薇各器官生物量分配大小,在阴阳坡均表现为干生物量>枝生物量>皮生物量>叶生物量,占比最大的主干部分对地上生物量总量贡献较大;(2)峨眉蔷薇对海拔梯度的响应,在阴阳坡均表现为中坡位的峨眉蔷薇植株地上生物量占鲜重比是最低的,说明在该区域的中坡位,受土壤含水率低的影响,峨眉蔷薇植株生长受到影响,木质化程度低,在相同鲜重的情况下,地上部分生物量明显低于其他坡位;(3)冠幅(C)、基径(D)和树高(H)都是和灌木生物量有密切相关关系的自变量因子;而峨眉蔷薇生物量估测模型筛选结果显示,幂函数模型和三多项式模型都有令人满意的R2值,最优模型多以三次多项式为佳,因为三次多项式模型R2值更高,但由于灌木形态各异,所以应根据实际情况进行自变量因子的选择。
Vegetation restoration is very difficult in the dry valley of the Minjiang River. Research on the biomass and model of Rosa omeiensis can provide scientific theoretical basis for vegetation protection and restoration in the dry valley of the Minjiang River. The results showed that:(1) Regardless of the slopes, the biomass distribution of different organs of Rosa omeiensis with different diameters was in the order: dry biomass > branch biomass > bark biomass >leaf biomass. The main stem with the largest proportion contributed greatly to the total aboveground biomass.(2) The ratio of aboveground biomass to fresh weight of Rosa omeiensis plants in the middle slope position was the lowest,which indicated that the growth of Rosa omeiensis plants was affected by the low soil moisture content in the middle slope position in this area, and the degree of lignification was low. Under the same fresh weight, the aboveground biomass was significantly lower than other slope positions.(3) The crown width(C), basal diameter(D) and tree height(H) were all independent variables closely related to shrub biomass. The screening results of Rosa omeiensis biomass estimation model showed that both power function model and triple polynomial model had satisfactory correlation coefficient values. The optimal model was mostly the cubic polynomial, because the R2 value of cubic polynomial model was higher. Considering the different shrub morphology, the independent variable factors should be selected according to the actual conditions.
关键词(KeyWords)：
生物量;模型;相关关系;自变量因子
Biomass;Model;Correlation relationship;Independent variable factor
基金项目(Foundation): 省财政专项课题“城市森林植源性污染防控技术研究”
作者(Author):
张军,章路,张琴,郑绍伟,慕长龙,黎燕琼
ZHANG Jun,ZHANG Lu,ZHANG Qin,ZHENG Shaowei,MU Changlong,LI Yanqiong
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