High-Resolution Analytical Approach to Describe the Sensitivity of Tree–Environment Dependences through Stem Radial Variation

Stem radius variations are remarkably synchronous to weather conditions. Climate fluctuations can forecast the occurrence and severity of environmental disturbance on radial variations, as well as tissue sensitivity and tree growth. Radial variations were detected through dendrometers and were analy...

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Main Authors: Claudia Cocozza, Roberto Tognetti, Alessio Giovannelli
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Forests
Subjects:
Online Access:http://www.mdpi.com/1999-4907/9/3/134
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spelling doaj-9f873633d1da4c478f24806d667615f22020-11-25T00:25:31ZengMDPI AGForests1999-49072018-03-019313410.3390/f9030134f9030134High-Resolution Analytical Approach to Describe the Sensitivity of Tree–Environment Dependences through Stem Radial VariationClaudia Cocozza0Roberto Tognetti1Alessio Giovannelli2Istituto per la Protezione Sostenibile delle Piante (IPSP), Consiglio Nazionale delle Ricerche (CNR), 50019 Sesto Fiorentino, ItalyDipartimento di Agricoltura, Ambiente e Alimenti, Università degli Studi del Molise, 86100 Campobasso, ItalyIstituto Valorizzazione Legno e Specie Arboree (IVALSA), Consiglio Nazionale delle Ricerche (CNR), Via Madonna del Piano 10, 50019 Sesto Fiorentino, ItalyStem radius variations are remarkably synchronous to weather conditions. Climate fluctuations can forecast the occurrence and severity of environmental disturbance on radial variations, as well as tissue sensitivity and tree growth. Radial variations were detected through dendrometers and were analyzed coupled to environmental conditions to define stem sensitivity in response to experimental (logs in lab) and natural (trees in field) drivers. By using a mathematical approach for the analysis of plant traits and environmental variables, this study aimed at highlighting a methodological framework to analytically unravel the environmental control of stem cycles. A derivative analysis was performed on data derived from experimental measurements, which showed a high degree of agreement between environmental drivers and dendrometer signals. The analytical approach provided information on plant performance in response to environmental variation, removing the confounding effects of different variables. Coding of the dendrometer signal provided a process to quantify stem sensitivity to ambient temperature, to portray synchronicity of time series related to stem radial variations and air temperature events, and to identify time lags of environmental effects on plant traits.http://www.mdpi.com/1999-4907/9/3/134point dendrometerstem sensitivityenvironmental signal
collection DOAJ
language English
format Article
sources DOAJ
author Claudia Cocozza
Roberto Tognetti
Alessio Giovannelli
spellingShingle Claudia Cocozza
Roberto Tognetti
Alessio Giovannelli
High-Resolution Analytical Approach to Describe the Sensitivity of Tree–Environment Dependences through Stem Radial Variation
Forests
point dendrometer
stem sensitivity
environmental signal
author_facet Claudia Cocozza
Roberto Tognetti
Alessio Giovannelli
author_sort Claudia Cocozza
title High-Resolution Analytical Approach to Describe the Sensitivity of Tree–Environment Dependences through Stem Radial Variation
title_short High-Resolution Analytical Approach to Describe the Sensitivity of Tree–Environment Dependences through Stem Radial Variation
title_full High-Resolution Analytical Approach to Describe the Sensitivity of Tree–Environment Dependences through Stem Radial Variation
title_fullStr High-Resolution Analytical Approach to Describe the Sensitivity of Tree–Environment Dependences through Stem Radial Variation
title_full_unstemmed High-Resolution Analytical Approach to Describe the Sensitivity of Tree–Environment Dependences through Stem Radial Variation
title_sort high-resolution analytical approach to describe the sensitivity of tree–environment dependences through stem radial variation
publisher MDPI AG
series Forests
issn 1999-4907
publishDate 2018-03-01
description Stem radius variations are remarkably synchronous to weather conditions. Climate fluctuations can forecast the occurrence and severity of environmental disturbance on radial variations, as well as tissue sensitivity and tree growth. Radial variations were detected through dendrometers and were analyzed coupled to environmental conditions to define stem sensitivity in response to experimental (logs in lab) and natural (trees in field) drivers. By using a mathematical approach for the analysis of plant traits and environmental variables, this study aimed at highlighting a methodological framework to analytically unravel the environmental control of stem cycles. A derivative analysis was performed on data derived from experimental measurements, which showed a high degree of agreement between environmental drivers and dendrometer signals. The analytical approach provided information on plant performance in response to environmental variation, removing the confounding effects of different variables. Coding of the dendrometer signal provided a process to quantify stem sensitivity to ambient temperature, to portray synchronicity of time series related to stem radial variations and air temperature events, and to identify time lags of environmental effects on plant traits.
topic point dendrometer
stem sensitivity
environmental signal
url http://www.mdpi.com/1999-4907/9/3/134
work_keys_str_mv AT claudiacocozza highresolutionanalyticalapproachtodescribethesensitivityoftreeenvironmentdependencesthroughstemradialvariation
AT robertotognetti highresolutionanalyticalapproachtodescribethesensitivityoftreeenvironmentdependencesthroughstemradialvariation
AT alessiogiovannelli highresolutionanalyticalapproachtodescribethesensitivityoftreeenvironmentdependencesthroughstemradialvariation
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