Individual-tree diameter growth model for rebollo oak (Quercus pyrenaica Willd.) coppices

断面积 数学 胸径 站点索引 混合模型 统计 树(集合论) 森林资源清查 变量 林业 竞赛(生物学) 森林经营 生态学 地理 生物 数学分析
作者
Patricia Adame,Jari Hynynen,Isabel Cañellas,Miren del Rı́o
出处
期刊:Forest Ecology and Management [Elsevier BV]
卷期号:255 (3-4): 1011-1022 被引量:105
标识
DOI:10.1016/j.foreco.2007.10.019
摘要

In this study, a distance-independent mixed model was developed for predicting the diameter growth of individual trees in Mediterranean oak (Quercus pyrenaica Willd.) coppices located in northwest Spain. The data used to build the model came from 41 permanent plots belonging to the Spanish National Forest Inventory with the dependent variable being 10-year diameter increment over bark for trees larger than 7.5 cm at breast height. The basic field data required for predictions had been divided into four main groups: size of the tree, stand variables, competition indices and biogeoclimatic variables. The most significant independent variables were the individual-tree diameter, the basal area of trees larger than the subject tree, dominant height, site index and biogeoclimatic stratum. The model was defined as a mixed linear model with random plot effect, achieving an efficiency of 44.38%. The accuracy of the model was tested against the modelling data and against independent data from the same stands. Mixed model calibration of diameter increment was carried out with the independent data using a different sample of complementary observations of the dependent variable. The calibrated model was an improvement on the trivial model, which assumes constancy in diameter increment for a short projection period, especially the pattern of residuals with respect to predicted diameter and the independent variables.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
鲲神发布了新的文献求助10
刚刚
瘦瘦寻菡发布了新的文献求助30
1秒前
1秒前
大模型应助健壮的冷雪采纳,获得10
1秒前
风逝完成签到,获得积分10
1秒前
xixidong完成签到,获得积分10
1秒前
syh应助ini采纳,获得10
2秒前
2秒前
张栋发布了新的文献求助10
3秒前
桃桃好困发布了新的文献求助10
3秒前
Allen发布了新的文献求助10
3秒前
小雯完成签到,获得积分10
4秒前
4秒前
5秒前
yebao发布了新的文献求助20
5秒前
5秒前
ljloveljj完成签到,获得积分10
5秒前
molihuakai应助hongyun采纳,获得10
6秒前
6秒前
6秒前
科研通AI6.4应助图图羊采纳,获得10
6秒前
Taozhi完成签到,获得积分10
7秒前
无花果应助Sikii采纳,获得10
7秒前
诚心的剑完成签到,获得积分10
8秒前
8秒前
9秒前
11秒前
三尺微命完成签到 ,获得积分10
11秒前
州州完成签到,获得积分10
11秒前
11秒前
11秒前
11秒前
11秒前
11秒前
12秒前
ME完成签到 ,获得积分10
12秒前
MZ完成签到,获得积分10
12秒前
zoex发布了新的文献求助10
13秒前
13秒前
搞怪人杰完成签到,获得积分10
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Quality by Design - An Indispensable Approach to Accelerate Biopharmaceutical Product Development 800
Pulse width control of a 3-phase inverter with non sinusoidal phase voltages 777
Signals, Systems, and Signal Processing 610
Research Methods for Applied Linguistics: A Practical Guide 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6400775
求助须知:如何正确求助?哪些是违规求助? 8217602
关于积分的说明 17414697
捐赠科研通 5453797
什么是DOI,文献DOI怎么找? 2882298
邀请新用户注册赠送积分活动 1858872
关于科研通互助平台的介绍 1700612