干旱区生态环境知识资源中心(Arid): Allometric Equations for PredictingAgave lechuguillaTorr. Aboveground Biomass in Mexico

Arid

DOI	10.3390/f11070784
	Allometric Equations for PredictingAgave lechuguillaTorr. Aboveground Biomass in Mexico
	Flores-Hernandez, Cristobal de J.; Mendez-Gonzalez, Jorge; Sanchez-Perez, Felix de J.; Mendez-Encina, Fatima M.; Lopez-Diaz, Oscar M.; Lopez-Serrano, Pablito M.
通讯作者	Mendez-Gonzalez, J
来源期刊	FORESTS
EISSN	1999-4907
出版年	2020
卷号	11 期号:7
英文摘要	Quantifying biomass is important for determining the carbon stores in land ecosystems. The objective of this study was to predict aboveground biomass (AGB) ofAgave lechuguillaTorr., in the states of Coahuila (Coah), San Luis Potosi (SLP) and Zacatecas (Zac), Mexico. To quantify AGB, we applied the direct method, selecting and harvesting representative plants from 32 sampling sites. To predict AGB, the potential and the Schumacher-Hall equations were tested using the ordinary least squares method using the average crown diameter (Cd) and total plant height (Ht) as predictors. Selection of the best model was based on coefficient of determination (R(2)adj.), standard error (S-xy), and the Akaike information criterion (AIC). Studentized residues, atypical observations, influential data, normality, variance homogeneity, and independence of errors were also analyzed. To validate the models, the statistic prediction error sum of squares (PRESS) was used. Moreover, dummy variables were included to define the existence of a global model. A total of 533A. lechuguillaplants were sampled. The highest AGB was 8.17 kg; the plant heights varied from 3.50 cm to 118.00 cm. The Schumacher-Hall equation had the best statistics (R(2)adj. = 0.77, Sxy = 0.418, PRESS = 102.25, AIC = 632.2), but the dummy variables revealed different populations of this species, that is, an equation for each state. Satisfying the regression model assumptions assures that the predictions ofA. lechuguilla AGBare robust and efficient, and thus able to quantify carbon reserves of the arid and semiarid regions of Mexico.
英文关键词	allometric equations aboveground biomass Schumacher-Hall dummy variables robust regression
类型	Article
语种	英语
开放获取类型	DOAJ Gold
收录类别	SCI-E
WOS记录号	WOS:000557342700001
WOS关键词	ROBUST ; REGRESSION ; FOREST ; CARBON ; SHRUB ; BIAS
WOS类目	Forestry
WOS研究方向	Forestry
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/325502
作者单位	[Flores-Hernandez, Cristobal de J.; Mendez-Gonzalez, Jorge; Mendez-Encina, Fatima M.; Lopez-Diaz, Oscar M.] Autonomous Agr Univ Antonio Narro, Forest Dept, Coahuila 25315, Mexico; [Lopez-Serrano, Pablito M.] Juarez Univ State Durango, Inst Forestry & Wood Ind, Durango 34120, Mexico
推荐引用方式 GB/T 7714	Flores-Hernandez, Cristobal de J.,Mendez-Gonzalez, Jorge,Sanchez-Perez, Felix de J.,et al. Allometric Equations for PredictingAgave lechuguillaTorr. Aboveground Biomass in Mexico[J],2020,11(7).
APA	Flores-Hernandez, Cristobal de J.,Mendez-Gonzalez, Jorge,Sanchez-Perez, Felix de J.,Mendez-Encina, Fatima M.,Lopez-Diaz, Oscar M.,&Lopez-Serrano, Pablito M..(2020).Allometric Equations for PredictingAgave lechuguillaTorr. Aboveground Biomass in Mexico.FORESTS,11(7).
MLA	Flores-Hernandez, Cristobal de J.,et al."Allometric Equations for PredictingAgave lechuguillaTorr. Aboveground Biomass in Mexico".FORESTS 11.7(2020).