Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2017.07.027 |
Estimating the self-thinning line from mortality data | |
Trouve, Raphael1; Nitschke, Craig R.1; Robinson, Andrew P.2,3; Baker, Patrick J.1 | |
2017-10-15 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT |
ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2017 |
卷号 | 402 |
文章类型 | Article |
语种 | 英语 |
国家 | Australia |
英文摘要 | Context: Self-thinning is fundamental to modern density-based forest management. The process of self thinning arises from the dynamic interaction of stand growth and mortality at equilibrium conditions. However, despite the dynamic basis for the self-thinning process, it is typically modeled using static size-density data. Material and methods: We tested the ability of a simple stand mortality model to estimate the self thinning line. We used data from long-term silvicultural experiments for six common Eucalyptus species in southeastern Australia. Our approach built on existing mortality model structure that predicts survival trajectories that follow a self-thinning line. We used Poisson and negative binomial generalized linear models for count data as well as a non-linear least squares procedure on the integrated scale to calibrate the mortality model. Derived self-thinning parameters were compared to parameters calibrated on the static allometry between quadratic mean diameter (Dq) and stand density (N) using two reference methods (linear model and stochastic frontier analysis). Results: Our dynamic mortality models provided estimates of the self-thinning line that were as good as or better than those obtained using reference methods; however, this required accounting for overdispersion of mortality count data. We validated survival trajectories using independent data for the three most abundant eucalypt species and found that they showed excellent behavior. Discussion: Survival trajectories predicted by the mortality models were consistent with, and accurately estimated, the self-thinning line for the eucalypt species in our study. The simplicity of calibrating mortality models using GLM methods raises the possibility of quantifying how environmental drivers influence the dynamic self-thinning equilibrium. (C) 2017 Elsevier B.V. All rights reserved. |
英文关键词 | Self-thinning Survival Forest dynamics Allocation Allometry Relative density |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000411534000012 |
WOS关键词 | STAND-DENSITY INDEX ; EVEN-AGED STANDS ; BOUNDARY LINE ; PLANT-POPULATIONS ; GROWTH-MODEL ; SIZE ; ECOLOGY ; RULE ; MANAGEMENT ; L. |
WOS类目 | Forestry |
WOS研究方向 | Forestry |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/22544 |
专题 | 气候变化 |
作者单位 | 1.Univ Melbourne, Sch Ecosyst & Forest Sci, 500 Yarra Blvd, Richmond, Vic 3121, Australia; 2.Univ Melbourne, CEBRA, Melbourne, Vic 3010, Australia; 3.Univ Melbourne, Sch Math & Stat, Melbourne, Vic 3010, Australia |
推荐引用方式 GB/T 7714 | Trouve, Raphael,Nitschke, Craig R.,Robinson, Andrew P.,et al. Estimating the self-thinning line from mortality data[J]. FOREST ECOLOGY AND MANAGEMENT,2017,402. |
APA | Trouve, Raphael,Nitschke, Craig R.,Robinson, Andrew P.,&Baker, Patrick J..(2017).Estimating the self-thinning line from mortality data.FOREST ECOLOGY AND MANAGEMENT,402. |
MLA | Trouve, Raphael,et al."Estimating the self-thinning line from mortality data".FOREST ECOLOGY AND MANAGEMENT 402(2017). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论