کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6458983 1421196 2017 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A likelihood-based time series modeling approach for application in dendrochronology to examine the growth-climate relations and forest disturbance history
ترجمه فارسی عنوان
رویکرد مدل سازی سری زمانی مبتنی بر احتمال برای کاربرد در دندرونگنولوژی برای بررسی روابط رشد اقتصادی-آب و هوا و تاریخ وقوع آشفتگی جنگل
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات علم هواشناسی
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Dendrochronologia - Volume 45, October 2017, Pages 132-144
نویسندگان
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