气候变化领域集成服务门户(CCPortal): Improving the accuracy of aboveground biomass estimations in secondary tropical dry forests

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DOI	10.1016/j.foreco.2020.118384
	Improving the accuracy of aboveground biomass estimations in secondary tropical dry forests
	Bojórquez A.; Martínez-Yrízar A.; Búrquez A.; Jaramillo V.J.; Mora F.; Balvanera P.; Álvarez-Yépiz J.C.
发表日期	2020
ISSN	0378-1127
卷号	474
英文摘要	Biomass estimates in tropical forests are mainly available for old-growth forests, but the expansion of tropical secondary forests urges the development of tools for more accurate estimations of biomass and carbon pools. In this study, we developed local allometric models to estimate aboveground biomass in secondary tropical dry forests of the Chamela region in western Mexico and compared their accuracy to that of non-local (“foreign”) allometric models. We harvested 303 trees from 27 woody species contributing ≥75% of total basal area in secondary forest plots (5–45 y-old) distributed across the landscape. Nine to 14 individuals per species, covering the full natural range in stem diameter (DBH) found in an inventory, were measured for DBH and height (H) before harvesting. Subsamples from each stem and branches were used for dry mass and wood specific density (WSD) determinations. Power model functions were fitted to relate tree AGB to one or a multiplicative combination of three predictors (DBH, H, and WSD). Species-specific models with DBH alone explained a high percentage of the variance in tree AGB (R2 = 0.927 to 0.999). Among our multispecies models, fit and prediction of biomass improved when pooling the species into low and high WSD functional groups. Using local or global WSD data did not affect the accuracy of our multispecies models. In contrast, bias increased in foreign models with the use of global WSD values. We discuss the applicability of our allometric models and foreign models to improve the accuracy of biomass predictions in secondary tropical dry forests. © 2020 Elsevier B.V.
英文关键词	Aboveground biomass; Accuracy; Allometric models; Carbon storage; Estimation bias; Mexico; Tropical forests
语种	英语
来源期刊	Forest Ecology and Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/155065
作者单位	Instituto de Ecología, Universidad Nacional Autónoma de México, Blvd. Colosio y Sahuaripa s/n, Los Arcos, Hermosillo, Sonora 83250, Mexico; Instituto de Investigaciones en Ecosistemas y Sustentabilidad, Universidad Nacional Autónoma de México-Campus Morelia, Apartado Postal 27-3, Santa María de Guido, Morelia, Michoacán 58090, Mexico; Unidad Académica de Estudios Territoriales Oaxaca, Universidad Nacional Autónoma de México, Reforma Centro 68000, Oaxaca, Oaxaca, Mexico; Instituto Tecnológico de Sonora, 5 de Febrero 818 Sur, Centro, Ciudad Obregón, Sonora 85000, Mexico
推荐引用方式 GB/T 7714	Bojórquez A.,Martínez-Yrízar A.,Búrquez A.,et al. Improving the accuracy of aboveground biomass estimations in secondary tropical dry forests[J],2020,474.
APA	Bojórquez A..,Martínez-Yrízar A..,Búrquez A..,Jaramillo V.J..,Mora F..,...&Álvarez-Yépiz J.C..(2020).Improving the accuracy of aboveground biomass estimations in secondary tropical dry forests.Forest Ecology and Management,474.
MLA	Bojórquez A.,et al."Improving the accuracy of aboveground biomass estimations in secondary tropical dry forests".Forest Ecology and Management 474(2020).