Morphometry of leaf and shoot variables to assess aboveground biomass structure and carbon sequestra

• 作 者: Ghulam Ali Bajwa Muhammad Umair Yasir Nawab Zahid Rizwan
• 机 构: Pakistan Forest Institute,Peshawar 25130,Pakistan;National Textile University,Faisalabad 37610,Pakis
• 出 处: 林业研究（英文版）
• 发表日期: 2021年6期
• 关键词: Allometry Biomass estimation CO2 mitigation Moraceae Mulberry Regression models

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 car-bon 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 dimin-ishing 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 C02 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 coeffi-cient 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 mod-els 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,vari-ety Latifolia has good potential for biomass production,and allometric equations based on EDBH can be used to estimate AGB with a reasonable accuracy.