清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Comparing effects of uncertainty in predictions of local and pantropical allometric models on large-area estimates for mean aboveground biomass per unit area

泛热带 异速滴定 生物量(生态学) 单位(环理论) 环境科学 统计 生态学 数学 生物 数学教育
作者
Laio Zimermann Oliveira,Ronald E. McRoberts,Alexander Christian Vibrans,Veraldo Liesenberg,Heitor Felippe Uller
出处
期刊:Forestry [Oxford University Press]
标识
DOI:10.1093/forestry/cpaf008
摘要

Abstract In the absence of regional/local allometric models of known accuracy, pantropical models (PMs) are often employed for predicting aboveground biomass (AGB) for trees growing in (sub)tropical forests. Using accurate models for a given population is crucial to increase accuracy and reduce uncertainty in estimates for mean AGB per unit area. This study evaluated the effects of local models (LMs) and PMs on large-area estimates for mean AGB (Mg ha$^{-1}$) in the Brazilian subtropical evergreen rainforest. In addition to the uncertainty due to sampling variability in the forest inventory dataset, uncertainty in model parameter estimates and residual variability were incorporated into standard errors (SEs) of the estimator of the mean through a Monte Carlo scheme. Generally, estimates for mean AGB were somewhat similar regardless of the model. Estimates for mean AGB obtained using a PM constructed with moist forest sites only and an LM were not statistically significantly different at significance level of 0.05. However, substantially less precise estimates for mean AGB were obtained with LMs constructed with 50 sample trees or fewer relative to an LM constructed with 105 trees and PMs, mainly as an indirect effect of greater uncertainty in model parameter estimates. When correlation among tree observations on the same sample location was accounted for when fitting the PMs, SEs increased as much as 26%. Further, although the PMs were constructed with many-fold larger datasets, they yielded less precise estimates for mean AGB than the LM constructed with 105 trees. Nevertheless, the evaluated PMs may still be regarded as accurate for the studied population.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
2秒前
雪白小丸子完成签到,获得积分10
3秒前
naczx完成签到,获得积分0
9秒前
喵叽完成签到 ,获得积分20
16秒前
冷傲半邪完成签到,获得积分10
21秒前
冠冠冠冠发布了新的文献求助150
54秒前
喵叽关注了科研通微信公众号
1分钟前
冠冠冠冠完成签到,获得积分10
1分钟前
简单的雅蕊完成签到,获得积分10
1分钟前
1分钟前
1分钟前
zsmj23完成签到 ,获得积分0
1分钟前
1分钟前
t铁核桃1985完成签到 ,获得积分10
1分钟前
李健应助简单的雅蕊采纳,获得10
1分钟前
彭于晏应助Betty采纳,获得10
2分钟前
辣酒猫完成签到,获得积分20
3分钟前
辣酒猫发布了新的文献求助10
3分钟前
3分钟前
周周南完成签到 ,获得积分10
3分钟前
3分钟前
3分钟前
533发布了新的文献求助10
3分钟前
稻子完成签到 ,获得积分10
3分钟前
梨子茶发布了新的文献求助30
3分钟前
领导范儿应助Huck采纳,获得10
3分钟前
3分钟前
Huck发布了新的文献求助10
4分钟前
Huck完成签到,获得积分10
4分钟前
整齐的蜻蜓完成签到 ,获得积分10
4分钟前
4分钟前
zhang完成签到,获得积分10
4分钟前
4分钟前
小余同学发布了新的文献求助10
4分钟前
coolplex完成签到 ,获得积分10
4分钟前
5分钟前
5分钟前
lenny发布了新的文献求助10
5分钟前
迷茫的一代完成签到,获得积分10
5分钟前
可爱沛蓝完成签到 ,获得积分10
5分钟前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
Immigrant Incorporation in East Asian Democracies 600
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3968504
求助须知:如何正确求助?哪些是违规求助? 3513331
关于积分的说明 11167297
捐赠科研通 3248697
什么是DOI,文献DOI怎么找? 1794417
邀请新用户注册赠送积分活动 875030
科研通“疑难数据库(出版商)”最低求助积分说明 804652