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首页> 外文期刊>Journal of Forest Science >Allometric equations for predicting aboveground biomass of beech'hornbeam stands in the Hyrcanian forests of Iran
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Allometric equations for predicting aboveground biomass of beech'hornbeam stands in the Hyrcanian forests of Iran

机译:预测伊朗Hycanian森林中山毛榉角地上生物量的异速方程

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摘要

A better understanding of the carbon biomass from forests is needed to improve both models and mitigation efforts related to the global C cycle and greenhouse gas mitigation. Despite the importance of Hyrcanian forests for biodiversity conservation, no study with biomass destruction has been done to predict biomass and carbon pools from this forest. Mixed-specific regression equations with 45 sample trees using different input variables such as diameter, height and wood density were developed to estimate the aboveground biomass of beech-hornbeam stands. All the sample trees were harvested and the diameter at breast height (DBH) spanned from 31 to 104 cm so as to represent the diameter distribution reported in the beech-hornbeam stand management. Using only diameter as an input variable, the stands regression model estimates the aboveground biomass of the stand with an average deviation of 19% {R^^ = 0.92; SEE = 0.22). Adding height as the second explanatory variable slightly improved the estimation with an average deviation of 18% = 0.95; SEE = 0.17). Adding only height or wood density did not improve significantly the estimations. Using the three variables together improved the precision of bole biomass prediction of stands with an average deviation of 10.3% = 0.965; SEE = 0.167). 68% of the observed variation in the aboveground biomass of beech-hornbeam stands was explained only by diameter.
机译:需要更好地了解森林中的碳生物量,以改善与全球碳循环和温室气体减排相关的模型和减排努力。尽管Hyrcanian森林对于保护生物多样性很重要,但尚未进行生物量破坏研究来预测该森林的生物量和碳库。建立了具有45种样本树的混合特定回归方程,使用不同的输入变量(例如直径,高度和木材密度)来估计山毛榉-角树林地上生物量。收集所有样品树,胸高(DBH)的直径从31厘米扩展到104厘米,以代表在山毛榉-角树架管理中报告的直径分布。林分回归模型仅使用直径作为输入变量,估计林分的地上生物量,平均偏差为19%{R ^^ = 0.92; SEE = 0.22)。增加高度作为第二个解释变量,使估计值稍有改善,平均偏差为18%= 0.95; SEE = 0.17)。仅增加高度或木材密度并不能显着改善估计值。将这三个变量一起使用,可以提高林分生物预测生物量的准确性,其平均偏差为10.3%= 0.965; SEE = 0.167)。仅通过直径解释了观察到的山毛榉-角树林地上生物量变化的68%。

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