气候变化领域集成服务门户(CCPortal): Calibrating individual tree biomass models for contrasting tropical species at an uneven-aged site in the native Atlantic Forest of Brazil: A direct comparison of alternative approaches, sample sizes, and sample selection methods

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DOI	10.1016/j.foreco.2020.118306
	Calibrating individual tree biomass models for contrasting tropical species at an uneven-aged site in the native Atlantic Forest of Brazil: A direct comparison of alternative approaches, sample sizes, and sample selection methods
	Colmanetti M.A.A.; Weiskittel A.; Scolforo H.F.; Sotomayor J.F.M.; do Couto H.T.Z.
发表日期	2020
ISSN	0378-1127
卷号	473
英文摘要	Tree biomass equations are important yet difficult, time-intensive, and expensive to develop. However, the calibration of previously developed, species-specific models could be a viable alternative, particularly for highly diverse and protected forests like the Atlantic Forest of Brazil. Consequently, the primary research goal of this study was to conduct a comprehensive evaluation of the potential to calibrate an existing individual tree aboveground biomass model for a new species and/or site by using linear mixed-effects. Specific research objectives were to determine the optimal approach for effective calibration by allowing sample selection method, sample size, and range of tree sizes sampled to vary. In particular, a certain set of species was used as a primary dataset to fit both generalized and species-specific biomass models, that were then calibrated for a secondary dataset at a different site and location. Both similar and divergent species at the secondary site were used to calibrate and evaluate the previous models. Our results suggested that species-level calibration was efficient for the majority of the species or individuals examined that can greatly improve the performance at much lower sample sizes required to develop a new equation, especially for the larger trees in the stand. In general, one to three randomly selected trees were sufficient to effectively calibrate a biomass model for a new species. We expect the combination of model calibration for abundant species associated with the use of the previous developed generalized model for less abundant species can drastically reduce the need for destructive sampling and improve predictions, which is important for highly threatened forests like the Atlantic Forest in Brazil. Overall, the results highlight the potential of model calibration to significantly improve both biomass and carbon estimates in species-rich forests like those in the tropics. © 2020 Elsevier B.V.
英文关键词	Atlantic Forest; Best linear unbiased predictor; Biomass equations; Destructive sampling; Tropical forests
语种	英语
scopus关键词	Biomass; Importance sampling; Sampling; Site selection; Tropics; Above ground biomass; Comprehensive evaluation; Destructive sampling; Generalized models; Model calibration; Optimal approaches; Research objectives; Species specifics; Forestry; aboveground biomass; biomass; calibration; data set; endangered species; new species; numerical model; performance assessment; prediction; sampling; Biomass; Brazil; Calibration; Forestry; Models; Sampling; Trees; Tropics; Atlantic Forest; Brazil
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/155152
作者单位	Interdisciplinary Center of Energy Planning/University of Campinas, 330 Cora Coralina St., Campinas, SP Zip Code: 13083-896, Brazil; University of Maine, Center for Research on Sustainable Forests, 5755 Nutting Hall, University of Maine, Orono, ME Zip Code: 004469-5755, United States; Department of Forest Science, University of Lavras/SUZANO-SA, Aquenta Sol, St., Lavras, MG Zip Code: 37200-900, Brazil; Facultad de Ingeniería y Ciencias Aplicadas, Universidad de las AméricasQuito 170125, Ecuador; Department of Forest Science, University of São Paulo (USP), Luiz de Queiroz College of Agriculture (ESALQ), 11 Pádua Dias, Ave., Piracicaba, SP Zip Code: 13418-900, Brazil
推荐引用方式 GB/T 7714	Colmanetti M.A.A.,Weiskittel A.,Scolforo H.F.,et al. Calibrating individual tree biomass models for contrasting tropical species at an uneven-aged site in the native Atlantic Forest of Brazil: A direct comparison of alternative approaches, sample sizes, and sample selection methods[J],2020,473.
APA	Colmanetti M.A.A.,Weiskittel A.,Scolforo H.F.,Sotomayor J.F.M.,&do Couto H.T.Z..(2020).Calibrating individual tree biomass models for contrasting tropical species at an uneven-aged site in the native Atlantic Forest of Brazil: A direct comparison of alternative approaches, sample sizes, and sample selection methods.Forest Ecology and Management,473.
MLA	Colmanetti M.A.A.,et al."Calibrating individual tree biomass models for contrasting tropical species at an uneven-aged site in the native Atlantic Forest of Brazil: A direct comparison of alternative approaches, sample sizes, and sample selection methods".Forest Ecology and Management 473(2020).