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首页> 外文期刊>Journal of Agricultural Science >Biomass Distribution and Development of Allometric Equations for Non-Destructive Estimation of Carbon Sequestration in Grafted Mango Trees
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Biomass Distribution and Development of Allometric Equations for Non-Destructive Estimation of Carbon Sequestration in Grafted Mango Trees

机译:嫁接芒果树中固碳的非破坏性估计的生物量分布和异速方程的发展

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The general equations available/developed for forest/wild mango trees based on measurement of diameter at breast height (DBH) (cannot be used) are not applicable for mango orchards which are predominantly established with grafted plants. Hence allometric equations were developed with destructive sampling of grafted mango trees. The selected parameters showed that allometric parameters were significantly related with age of the trees. The proportion of roots (22%) in grafted mangos was found to be higher than those reported for tropical forest trees (18%) with a R ratio of 0.291. The biomass expansion factor (BEF) varied with age. Initially the BEF was very high followed by a decreasing phase and finally a steady phase by and large attained stability beyond 20 years. The equations generally fitted the data well, and in most cases more than 50% of the observed variation in biomass was explained by primary branch girth (PBG) × number of primary branches (NPB). All equations were statistically significant (p 0.05) for both scaling parameters, a and b. Based on the R2 values the best fit model for estimation of above ground biomass of grafted mango trees is a power model using PBG × NPB as the best dimension: There was a good agreement between the observed and the predicted biomass using this equation.
机译:基于胸高直径(DBH)的测量,可用于森林/野生芒果树的可用/开发的通用方程式(无法使用)不适用于主要由嫁接植物建立的芒果园。因此,通过对嫁接的芒果树进行破坏性采样,开发了方程方程。选择的参数表明,异速生长参数与树木的年龄显着相关。发现嫁接芒果的根部比例(22%)高于热带林木中报道的根部比例(18%),R值为0.291。生物量膨胀因子(BEF)随年龄而变化。最初,BEF很高,其后是下降阶段,最后是稳定阶段,并在超过20年的时间里获得了很大的稳定性。这些方程式通常可以很好地拟合数据,并且在大多数情况下,观察到的生物量变化的50%以上是由初级分支周长(PBG)×初级分支数(NPB)解释的。对于两个缩放参数a和b,所有方程均具有统计学意义(p <0.05)。基于R2值,用于估算嫁接芒果树地上生物量的最佳拟合模型是一种以PBG×NPB为最佳尺寸的幂模型:使用此方程,观察到的生物量与预测的生物量之间有很好的一致性。

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