BIOMETRIC ASSESSMENT OF EARLY STEM GROWTH AT A COMMERCIAL STAND OF AFRICAN MAHOGANY (Khaya grandifoliola)

被引:0
作者
Matias, Renan Krupok [1 ]
Brito, Camilla Nascimento [2 ]
Resende, Rafael Tassinari [3 ,6 ]
Rios, Jovan Martins [2 ]
Santana, Gabriel Mendes [4 ]
De Oliveira, Guilherme Murilo [5 ]
Venturoli, Fabio [5 ]
机构
[1] Univ UniAraguaia, Agron, Goiania, Go, Brazil
[2] Univ Fed Goias, Grad Program Agron, Goiania, Go, Brazil
[3] Univ Fed Goias, Sch Agron Plant Improvement, Goiania, Go, Brazil
[4] Univ Fed Parana, Dept Forest Engn, Curitiba, Parana, Brazil
[5] Univ Fed Goias, Sch Agron Plant Improvement, Goiania, Go, Brazil
[6] Univ Brasilia, Forest Engn, Brasilia, DF, Brazil
来源
BIOSCIENCE JOURNAL | 2023年 / 39卷
关键词
Forest Modeling; Hardwood; Production; Tree Crops; Validation Study; EUCALYPTUS-GRANDIS; TREES; HEIGHT;
D O I
10.14393/BJ-v39n0a2023-62994
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
African mahogany species (Khaya spp.) have proven to be promising in the Brazilian forestry scenario, replacing native mahogany owing to their medium-fast growth and relevant timber value. This study aimed to carry out forest inventory and assessments of a Khaya grandifoliola plantation in the first years after planting, test hypsometric models to describe tree growth, and identify the maximum commercial stem yield (i.e., greater than 6 m in height). The stand was located in the municipality of Piracanjuba (GO), where seedlings of seed origin were used. Twenty random plots with a 15 m radius were allocated, and the total height (HT), stem height (HS), diameter at breast height (DBH), crown area, and forest canopy were measured. Four hypsometric models were employed in this study. The best equation was selected based on determination coefficients and standard errors. Further, the models were cross-validated to evaluate predictability and bias. At four years of planting, the largest class of HS was found to range from 3.1 to 4.1 m, and most trees had a DBH ranging from 0.084 to 0.126 m. The percentage of trees with stems > 6 m was 8.35%. The linear model ensured more consistent results for estimating HT, while the quadratic and Weibull models led to more consistent results for HS. By using models, stem measurements can be measured based on DBH, ultimately aiding the selection of stem management strategies for the growth of forests with greater commercial value.
引用
收藏
页数:10
相关论文
共 32 条
  • [1] Koppen's climate classification map for Brazil
    Alvares, Clayton Alcarde
    Stape, Jose Luiz
    Sentelhas, Paulo Cesar
    de Moraes Goncalves, Jose Leonardo
    Sparovek, Gerd
    [J]. METEOROLOGISCHE ZEITSCHRIFT, 2013, 22 (06) : 711 - 728
  • [2] GENETIC VARIATION FOR SILVICULTURAL TRAITS IN OPEN-POLLINATED PROGENIES OF Astronium graveolens Jacq. (ANACARDIACEAE)
    Araujo, Daniela
    Sebbenn, Alexandre Magno
    Scatena Zanatto, Antonio Carlos
    Zanata, Marcelo
    Morais, Euripedes
    Teixeira de Moraes, Mario Luiz
    Menezes Freitas, Miguel Luiz
    [J]. CERNE, 2014, 20 (01) : 61 - 67
  • [3] Boaretto MAC., 1997, SERIE TECNICA IPEF, V11, P31
  • [4] BOLFE E.L., 2020, Dinamica Agricola no Cerrado: Analises e projecoes
  • [5] Importance of early selective thinning in the development of long-term stand stability and improved log quality: a review
    Cameron, AD
    [J]. FORESTRY, 2002, 75 (01): : 25 - 35
  • [6] Stem production, light absorption and light use efficiency between dominant and non-dominant trees of Eucalyptus grandis across a productivity gradient in Brazil
    Campoe, Otavio Camargo
    Stape, Jose Luiz
    Nouvellon, Yann
    Laclau, Jean-Paul
    Bauerle, William L.
    Binkley, Dan
    Le Maire, Guerric
    [J]. FOREST ECOLOGY AND MANAGEMENT, 2013, 288 : 14 - 20
  • [7] Campos J., 2006, Mensuracao florestal: perguntas e respostas, V2
  • [8] CARMONA I. N., 2018, Revista Agroecossistemas, V10, P131
  • [9] Hipsometric, Volumetric and Growth Equations for Khaya ivorensis, Planted in Pirapora
    da Silva, Liniker Fernandes
    Ferreira, Giselle Lima
    Albuquerque dos Santos, Ana Carolina
    Leite, Helio Garcia
    da Silva, Marcio Lopes
    [J]. FLORESTA E AMBIENTE, 2016, 23 (03): : 362 - 368
  • [10] da Silva Marilia Gabriela, 2020, Advances in Forestry Science, V7, P1009, DOI 10.34062/afs.v7i2.9793