Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Quang V. Cao"'
Autor:
M Teimouri, Quang V. Cao
Publikováno v:
Environmental Resources Research, Vol 8, Iss 2, Pp 97-108 (2020)
For a given sample of grouped and ungrouped (raw) data, the maximum likelihood (ML) estimator is obtained using iterative algorithms such as Newton-Raphson (NR), which may not be converged always. Three-parameter Birnbaum-Saunders (BS) and Weibull di
Externí odkaz:
https://doaj.org/article/1ec488ab379f4f2baae628f1723af9be
Publikováno v:
Forests, Vol 10, Iss 7, p 596 (2019)
Pine-oak mixed forests in the Qinling Mountains are an essential part of the ecosystem in Northwestern China. Diameter distribution models for four species groups of pine-oak mixed forests were developed using the Weibull function. Both moment and hy
Externí odkaz:
https://doaj.org/article/3cbae3249b81499c9e579c194e7047d5
Publikováno v:
Canadian Journal of Forest Research. 53:178-187
The development of stand survival models can provide an important basis for the sustainable management of forest resources. In a new approach developed in this study, parameters of four survival quantile regression models were predicted from a quanti
Autor:
Quang V. Cao
Publikováno v:
Canadian Journal of Forest Research.
Recent research studies have shown that an integrated system can be constructed to provide future predictions when the inputs are from plot summary, a tree list, or a diameter distribution. The current study addresses the missing link, allowing this
Autor:
Quang V. Cao
Publikováno v:
Canadian Journal of Forest Research. 52:561-567
This study discussed four methods to project a diameter distribution from age A1 to age A2. Method 1 recovers parameters of the distribution at age A2 from stand attributes at that age. Method 2 uses a stand-level model to grow the quadratic mean dia
Autor:
Quang V. Cao
Publikováno v:
Canadian Journal of Forest Research. 52:169-174
In this study, a new method was developed to derive a tree survival and diameter growth model from any existing stand-level model, without the need for individual-tree growth data. Predictions from the derived tree model are constrained to match the
Publikováno v:
Forest Science. 68:8-16
Accurately assessing forest structure and productivity is critical to making timely management decisions and monitoring plant communities. This study aims to evaluate the prediction accuracy of site-level stand and biomass tables from the diameter di
Publikováno v:
CERNE, Volume: 28, Article number: e102991, Published: 16 DEC 2022
Background: Diameter distribution models are one of the most important components of growth and yield models. Diameter distribution models, based on the Weibull function, were developed for even-aged mixed-oak stands (Turkey oak, Sessile oak, and Hun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e4f7932723b0aebf4584d9bfb4744bf
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-77602022000100301&lng=en&tlng=en
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-77602022000100301&lng=en&tlng=en
Autor:
Suxia Ren, Xia Qu, Xiuqiang Zhang, Lili Dong, Yantao Yang, Danbee Lee, Quang V. Cao, Qinglin Wu, Tingzhou Lei
Publikováno v:
Industrial Crops and Products. 193:116251
Publikováno v:
Forest Science. 66:361-370
The self-thinning rule has played a critical role in controlling stand stocking and modeling stand development in forest stands. Chinese fir (Cunninghamia lanceolata) is a native and fast-growing tree species used for timber production and is widely