GSTDTAP  > 气候变化
DOI10.1016/j.foreco.2018.08.045
Eucalyptus growth and yield system: Linking individual-tree and stand-level growth models in clonal Eucalypt plantations in Brazil
Scolforo, Henrique Ferraco1; McTague, John Paul1; Burkhart, Harold2; Roise, Joseph1; Campoe, Otavio3; Stape, Jose Luiz4,5
2019-01-15
发表期刊FOREST ECOLOGY AND MANAGEMENT
ISSN0378-1127
EISSN1872-7042
出版年2019
卷号432页码:1-16
文章类型Article
语种英语
国家USA; Brazil
英文摘要

Linking individual-tree and stand-level growth models is required for estimating future forest stand structure, while maintaining the desired accuracy for forest management decision making. There is a scarcity of studies addressing this issue for clonal Eucalypt stands in Brazil. Thus, this paper aims to develop a compatible individual-tree and stand-level growth and yield system for clonal Eucalypt stands in Brazil. The dataset used in this study is derived from remeasurement information of sixteen TECHS sites. At every site, eleven Eucalypt clones were planted in single block plots, while extra plots under a rainfall exclusion regime were also installed in fourteen sites. Prediction and projection diameter percentile equations were developed, as well as an individual-tree mortality equation and a generalized height-diameter equation. In addition, a detailed explanation of the structural architecture of the developed compatible growth and yield system is provided. Differences when forecasting forest afforestation and updating forest inventories were highlighted in order to provide the proper use of the developed growth and yield system. Finally, the individual-tree equations were validated through the use of the rainfall exclusion regime plots as was the growth and yield system when applied for prediction and projection purposes. The individual-tree level equations provided accurate estimates. The newly developed compatible growth and yield system also displayed unbiased and accurate estimates. The system achieved full compatibility between individual-tree and stand-level estimates and produced accurate stand table estimates. The growth and yield system presented is a powerful analytical tool that can serve to update inventory data in tropical Brazil and also to provide estimates for expected forest afforestation. The system has the capability of providing detailed outputs, which allows forest managers to consider merchandizing the clonal Eucalypt stands into multiple products.


英文关键词Multiple products Compatibility Climate variation Consistency Stand table
领域气候变化
收录类别SCI-E
WOS记录号WOS:000455068700001
WOS关键词PINE PLANTATIONS ; BASAL AREA ; CLIMATE
WOS类目Forestry
WOS研究方向Forestry
引用统计
被引频次:41[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/23104
专题气候变化
作者单位1.North Carolina State Univ, Dept Forestry & Environm Resources, 2820 Faucette Dr,Campus Box 8001, Raleigh, NC 27695 USA;
2.Virginia Polytech Inst & State Univ, Dept Forest Resources & Environm Conservat, 310 W Campus Dr,Campus Box 169, Blacksburg, VA 24061 USA;
3.Univ Fed Santa Catarina, Dept Forestry Agr & Biodivers, Campus Box 101,Rod Ulysses Gaboardi,Km 3, BR-89520000 Curitibanos, SC, Brazil;
4.State Univ Sao Paulo, Dept Forest Sci, Ave Univ,3780, BR-18610034 Botucatu, SP, Brazil;
5.Univ Sao Paulo, Dept Forest Sci, Ave Padua Dias,11, BR-13418900 Piracicaba, SP, Brazil
推荐引用方式
GB/T 7714
Scolforo, Henrique Ferraco,McTague, John Paul,Burkhart, Harold,et al. Eucalyptus growth and yield system: Linking individual-tree and stand-level growth models in clonal Eucalypt plantations in Brazil[J]. FOREST ECOLOGY AND MANAGEMENT,2019,432:1-16.
APA Scolforo, Henrique Ferraco,McTague, John Paul,Burkhart, Harold,Roise, Joseph,Campoe, Otavio,&Stape, Jose Luiz.(2019).Eucalyptus growth and yield system: Linking individual-tree and stand-level growth models in clonal Eucalypt plantations in Brazil.FOREST ECOLOGY AND MANAGEMENT,432,1-16.
MLA Scolforo, Henrique Ferraco,et al."Eucalyptus growth and yield system: Linking individual-tree and stand-level growth models in clonal Eucalypt plantations in Brazil".FOREST ECOLOGY AND MANAGEMENT 432(2019):1-16.
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