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.
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
语种	英语
来源机构	Forest Ecology and Management
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/132817
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]. Forest Ecology and Management,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.,466.
MLA	Scolforo H.F.,et al."Site index estimation for clonal eucalypt plantations in Brazil: A modeling approach refined by environmental variables".466(2020).