气候变化领域集成服务门户(CCPortal): Site index estimation for clonal eucalypt plantations in Brazil: A modeling approach refined by environmental variables

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DOI	10.1016/j.foreco.2020.118079
	Site index estimation for clonal eucalypt plantations in Brazil: A modeling approach refined by environmental variables
	Scolforo H.F.; McTague J.P.; Burkhart H.; Roise J.; Alvares C.A.; Stape J.L.
发表日期	2020
ISSN	0378-1127
卷号	466
英文摘要	Growth models have been applied to assess the growth potential for areas without previous forest plantation records and to update forest inventory when commercial stands have been planted. However, there is a lack of growth models capable of incorporating environmental variables for updating forest inventories and recomputing site quality throughout Brazil. Consequently, this research aimed to deliver a compatible set of prediction and projection growth equations with parameters refined by environmental variables. The dataset used through this study is composed of remeasurement information of 16 research sites in Brazil. At each site, the same eleven eucalypt clones were planted in single block plots. Extra block plots were also installed in 14 sites to evaluate eucalyptus growth under drier climate scenarios. Four different competing model forms were tested. A common parameter of the best compatible set of growth equations was refined to test the magnitude of the environment effect on the prediction and projections of dominant height/site index in clonal eucalypt stands in Brazil. The compatible set of Chapman-Richards growth equations displayed the most accurate estimates of dominant height for clonal eucalypt plantations in Brazil. The common asymptote parameters between the growth models were refined as a function of annual soil water deficit (SWD), and a gain in accuracy of the projected and predicted dominant height estimates was observed. It is relevant to highlight that the developed set of growth equations possesses the ability to make short-, medium- and long-term predictions and projections with more assuredness about the biological behavior and its soundness. This feature ensures accurate estimation of site-specific growth curves. © 2020 Elsevier B.V.
英文关键词	Site index; Site-specific management; Soil water deficit
语种	英语
scopus关键词	Forecasting; Plants (botany); Soil moisture; Accurate estimation; Biological behavior; Environment effects; Environmental variables; Eucalypt plantations; Long-term prediction; Site-index estimations; Soil water deficit; Forestry; dicotyledon; ecological modeling; environmental gradient; forest inventory; plantation; site index; soil water; Brazil; Equations; Forecasts; Forestry; Growth; Height; Set; Variables; Brazil; Eucalyptus
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/155280
作者单位	Department of Forestry and Environmental Resources, North Carolina State University, 2820 Faucette Dr., Campus Box 8001, Raleigh, NC 27695, United States; Department of Forest Science, Federal University of Lavras, Campus Universitário, Campus Box 3037, LEMAF, 37200-000 LavrasMinas Gerais, Brazil; Department of Forest Resources and Environmental Conservation, Virginia Polytechnic Institute and State University, 310 W Campus Dr, Campus Box 169, Blacksburg, VA 24061, United States; Forestry Science and Research Institute, Via Comendador Pedro Morganti, 3500 - Bairro Monte Alegre, Piracicaba, São Paulo 13415-000, Brazil; Department of Forest Science, State University of São Paulo, Avenida Universitária, n° 3780, Botucatu, São Paulo 18610-034, Brazil; Department of Forest Science, University of São Paulo, Avenida Pádua Dias, 11, Piracicaba, São Paulo 13418-900, Brazil
推荐引用方式 GB/T 7714	Scolforo H.F.,McTague J.P.,Burkhart H.,et al. Site index estimation for clonal eucalypt plantations in Brazil: A modeling approach refined by environmental variables[J],2020,466.
APA	Scolforo H.F.,McTague J.P.,Burkhart H.,Roise J.,Alvares C.A.,&Stape J.L..(2020).Site index estimation for clonal eucalypt plantations in Brazil: A modeling approach refined by environmental variables.Forest Ecology and Management,466.
MLA	Scolforo H.F.,et al."Site index estimation for clonal eucalypt plantations in Brazil: A modeling approach refined by environmental variables".Forest Ecology and Management 466(2020).