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Morphometry of leaf and shoot variables to assess aboveground biomass structure and carbon sequestration by different varieties of white mulberry ( Morus alba L.)
Journal of Forestry Research ( IF 3.4 ) Pub Date : 2021-01-03 , DOI: 10.1007/s11676-020-01268-7
Ghulam Ali Bajwa , Muhammad Umair , Yasir Nawab , Zahid Rizwan

Mulberry is economically important and can also play a pivotal role in mitigating greenhouse gases. Leaf and shoot traits were measured for Morus alba var. Kanmasi, M. alba var. Karyansuban, M. alba var. Latifolia, and M. alba var. PFI-1 to assess aboveground biomass (AGB) and carbon sequestration. Variety-specific and multivariety allometric AGB models were developed using the equivalent diameter at breast height (EDBH) and plant height (H). The complete-harvest method was used to measure leaf and shoot traits and biomass, and the ash method was used to measure organic carbon content. The results showed significant (p < 0.01) varietal differences in leaf and shoot traits, AGB and carbon sequestration. PFI-1 variety had the greatest leaf density (mean ± SE: 1828.3 ± 0.3 leaves tree−1), Karyansuban had the largest mean leaf area (185.94 ± 8.95 cm2). A diminishing return was found between leaf area and leaf density. Latifolia had the highest shoot density per tree (46.6 ± 1.83 shoots tree−1), total shoot length (264.1 ± 2.32 m), dry biomass (16.69 ± 0.58 kg tree−1), carbon sequestration (9.99 ± 0.32 kg tree−1) and CO2 mitigation (36.67 ± 1.16 kg). The variety-specific AGB models b(EDBH) and b(EDBH)2 showed good fit and reasonable accuracy with a coefficient of determination (R2) = 0.98–0.99, standard error of estimates (SEE) = 0.1125–0.3130 and root mean square error (RMSE) = 0.1084–0.3017. The multivariety models bln(EDBH) and (EDBH)0.756 showed good-fitness and accuracy with R2 = 0.85–0.86, SEE = 1.6231–1.6445 and RMSE = 1.609–1.630. On the basis of these findings, variety Latifolia has good potential for biomass production, and allometric equations based on EDBH can be used to estimate AGB with a reasonable accuracy.



中文翻译:

叶片和枝条变量的形态测定法,以评估地上生物量结构和不同品种的白桑carbon(Morus alba L.)的固碳

桑ally在经济上很重要,在缓解温室气体方面也可以发挥关键作用。测量桑叶的叶片和枝条性状。Kanmasi,白兰变种。Karyansuban,M. alba var。Latifolia和M. alba var。PFI-1评估地上生物量(AGB)和碳固存。使用当量胸高(EDBH)和植株高(H)的等效直径,开发了特定品种和多品种异体性AGB模型。完全收获法用于测量叶片和枝条性状和生物量,灰分法用于测量有机碳含量。结果显示显着(p <0.01)叶片和枝条性状,AGB和碳固存的品种差异。PFI-1品种的叶密度最大(平均值±SE:1828.3±0.3叶树-1),Karyansuban的平均叶面积最大(185.94±8.95 cm 2)。发现叶面积和叶密度之间的收益递减。阔叶树具有最高的树苗密度(46.6±1.83棵树-1),总苗长(264.1±2.32 m),干燥生物量(16.69±0.58 kg树-1),固碳(9.99±0.32 kg树-1))和CO 2缓解(36.67±1.16 kg)。特定品种的AGB型号b(EDBH)和b(EDBH)2显示出良好的拟合度和合理的准确度,测定系数(R 2)= 0.98–0.99,估计标准误(SEE)= 0.1125–0.3130,均方根误差(RMSE)= 0.1084-0.3017。多元模型b ln(EDBH)和(EDBH)0.756显示出良好的拟合度和准确性,R 2  = 0.85-0.86,SEE = 1.6231-1.6445和RMSE = 1.609-1.630。基于这些发现,阔叶树种具有很高的生物质生产潜力,并且基于EDBH的异速方程可以用于以合理的准确性估算AGB。

更新日期:2021-01-03
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