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A likelihood-based time series modeling approach for application in dendrochronology to examine the growth-climate relations and forest disturbance history

机译：基于似然度的时间序列建模方法在树轮年代学中的应用以检查生长-气候关系和森林扰动历史

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摘要

A time series intervention analysis (TSIA) of dendrochronological data to infer the tree growth-climate-disturbance relations and forest disturbance history is described. Maximum likelihood is used to estimate the parameters of a structural time series model with components for climate and forest disturbances (i.e., pests, diseases, fire). The statistical method is illustrated with a tree-ring width time series for a mature closed-canopy Douglas-fir stand on the west slopes of the Cascade Mountains of Oregon, USA that is impacted by Swiss needle cast disease caused by the foliar fungus, Phaecryptopus gaeumannii (Rhode) Petrak. The likelihood-based TSIA method is proposed for the field of dendrochronology to understand the interaction of temperature, water, and forest disturbances that are important in forest ecology and climate change studies.

机译：描述了树木年代学数据的时间序列干预分析（TSIA），以推断树木的生长-气候-干扰关系和森林干扰历史。使用最大似然来估计结构时间序列模型的参数，该模型具有气候和森林干扰（例如，虫害，疾病，火灾）的成分。统计方法以树轮宽度时间序列举例说明，该树形宽度序列位于美国俄勒冈州喀斯喀特山脉西坡的成熟封闭冠层道格拉斯冷杉林地上，受到了由叶真菌Phaecryptopus引起的瑞士针叶病的影响gaeumannii（罗德）佩特拉克。在树轮年代学领域，提出了基于似然的TSIA方法，以了解温度，水和森林干扰的相互作用，这在森林生态学和气候变化研究中很重要。

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期刊名称 other
作者
E. Henry Lee; Charlotte Wickham; Peter A. Beedlow; Ronald S. Waschmann; David T. Tingey;
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作者单位

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年(卷),期 -1(45),-1
年度 -1
页码 132–144
总页数 34
原文格式 PDF
正文语种
中图分类
关键词
Seasonal time series intervention analysis outlier detection spline regression maximum likelihood dendrochronology;

机译：季节性时间序列;干预分析;离群值检测;样条回归;最大似然;树木年代学;

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专利

1. A likelihood-based time series modeling approach for application in dendrochronology to examine the growth-climate relations and forest disturbance history [J] . Dendrochronologia . 2017,第期

机译：基于可能性的时间序列建模方法，用于探讨生长气候关系和森林扰动史的应用
2. An Automated Approach to Map the History of Forest Disturbance from Insect Mortality and Harvest with Landsat Time-Series Data [J] . Christopher S.R. Neigh, Douglas K. Bolton, Jennifer J. Williams, Remote Sensing . 2014,第4期

机译：利用Landsat时间序列数据从昆虫死亡率和砍伐图绘制森林干扰历史的自动化方法
3. An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks [J] . Huang CQ, Coward SN, Masek JG, Remote Sensing of Environment: An Interdisciplinary Journal . 2010,第1期

机译：使用密集Landsat时间序列堆栈重建最近森林干扰历史的自动化方法
4. Change Detection in Image Time-Series Affected by Directional Reflectance and Phenological Variability: Application to Forest Disturbance Monitoring [C] . Nielsen Eric, Finco Mark, Hinkley Everett International Geoscience Remote Sensing Symposium . 2008

机译：通过定向反射率和挥发性变异性影响的图像时间序列中的变化检测：森林扰动监测的应用
5. Application of Landsat Time Series to the Spatially Explicit Estimation of the Forest Disturbance History and Growing Stock Volume in Georgia, United States [D] . ?Obata, Shingo 2020

机译：在格鲁吉亚，美国的森林干扰历史的空间直观估计陆地卫星的时间序列中的应用和蓄积量
6. Likelihood-based estimation of continuous-time epidemic models from time-series data: application to measles transmission in London [O] . Simon Cauchemez, Neil M Ferguson 2008

机译：基于时间序列数据的基于可能性的连续时间流行病模型估计：在伦敦麻疹传播中的应用
7. A likelihood-based time series modeling approach for application in dendrochronology to examine the growth-climate relations and forest disturbance history [O] . E. Henry Lee, Charlotte Wickham, Peter A. Beedlow, 2017

机译：一种基于可能的时间序列建模方法，用于探讨生长 - 气候关系和森林干扰史的应用
8. Automated Approach to Map the History of Forest Disturbance from Insect Mortality and Harvest with Landsat Time-Series Data. [R] . Neigh, C. S. R., Bolton, D. K., Diabate, M., 2014

机译：利用Landsat时间序列数据绘制昆虫死亡和收获的森林扰动历史的自动化方法。

A likelihood-based time series modeling approach for application in dendrochronology to examine the growth-climate relations and forest disturbance history

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