![]() Tree height and dbh are the two most important factors in surveys, production and management of forest resources and research on forest ecosystems. ![]() The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Ĭompeting interests: The authors have declared that no competing interests exist. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: Relevant data are within doi: 10.6084/m9.figshare.4956284.įunding: This work was supported by Study on Extracting Forest Management Information and Modeling by Using Digital Camera ) and the Study on Spatial Environmental Effect Model and Forestation Decision Support System for Forest Vegetation in Beijing ( ). Received: JanuAccepted: JPublished: August 17, 2017Ĭopyright: © 2017 Liu et al. PLoS ONE 12(8):Įditor: Ben Bond-Lamberty, Pacific Northwest National Laboratory, UNITED STATES (2017) Development and evaluation of height diameter at breast models for native Chinese Metasequoia. In this study, the method of developing the recommended models for predicting the tree height of native Metasequoias aged 50–485 years is statistically reliable and can be used for reference in predicting the growth and production of mature native Metasequoia.Ĭitation: Liu M, Feng Z, Zhang Z, Ma C, Wang M, Lian B-l, et al. Other variables such as tree height, main dbh and altitude, etc can also affect models. The amount of data is also an important parameter what can improve the reliability of models. Although tree age is not the most important variable in the study of the relationship between tree height and dbh, the consideration of tree age when choosing models and parameters in model selection can make the prediction of tree height more accurate. The results show that the allometry equation of tree height which has diameter at breast height as independent variable can better reflect the change of tree height in addition the prediction accuracy of the multivariate composite models is higher than that of the single variable models. These models were divided into two groups of single models and multivariate models according to the number of independent variables. We studied 53 fitted models, of which 7 were linear models and 46 were non-linear models. A total of 5503 Chinese Metasequoia trees were used in this study. ![]() Accurate tree height and diameter at breast height (dbh) are important input variables for growth and yield models.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |