TreeNet–The Biological Drought and Growth Indicator Network

The TreeNet research and monitoring network has been continuously collecting data from point dendrometers and air and soil microclimate using an automated system since 2011. The goal of TreeNet is to generate high temporal resolution datasets of tree growth and tree water dynamics for research and t...

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Autores principales: Roman Zweifel, Sophia Etzold, David Basler, Reinhard Bischoff, Sabine Braun, Nina Buchmann, Marco Conedera, Patrick Fonti, Arthur Gessler, Matthias Haeni, Günter Hoch, Ansgar Kahmen, Roger Köchli, Marcus Maeder, Daniel Nievergelt, Martina Peter, Richard L. Peters, Marcus Schaub, Volodymyr Trotsiuk, Lorenz Walthert, Micah Wilhelm, Werner Eugster
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Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/a23ce7e6b3de4ec7a083c417ea538d69
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spelling oai:doaj.org-article:a23ce7e6b3de4ec7a083c417ea538d692021-11-04T09:17:24ZTreeNet–The Biological Drought and Growth Indicator Network2624-893X10.3389/ffgc.2021.776905https://doaj.org/article/a23ce7e6b3de4ec7a083c417ea538d692021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/ffgc.2021.776905/fullhttps://doaj.org/toc/2624-893XThe TreeNet research and monitoring network has been continuously collecting data from point dendrometers and air and soil microclimate using an automated system since 2011. The goal of TreeNet is to generate high temporal resolution datasets of tree growth and tree water dynamics for research and to provide near real-time indicators of forest growth performance and drought stress to a wide audience. This paper explains the key working steps from the installation of sensors in the field to data acquisition, data transmission, data processing, and online visualization. Moreover, we discuss the underlying premises to convert dynamic stem size changes into relevant biological information. Every 10 min, the stem radii of about 420 trees from 13 species at 61 sites in Switzerland are measured electronically with micrometer precision, in parallel with the environmental conditions above and below ground. The data are automatically transmitted, processed and stored on a central server. Automated data processing (R-based functions) includes screening of outliers, interpolation of data gaps, and extraction of radial stem growth and water deficit for each tree. These long-term data are used for scientific investigations as well as to calculate and display daily indicators of growth trends and drought levels in Switzerland based on historical and current data. The current collection of over 100 million data points forms the basis for identifying dynamics of tree-, site- and species-specific processes along environmental gradients. TreeNet is one of the few forest networks capable of tracking the diurnal and seasonal cycles of tree physiology in near real-time, covering a wide range of temperate forest species and their respective environmental conditions.Roman ZweifelSophia EtzoldDavid BaslerDavid BaslerReinhard BischoffSabine BraunNina BuchmannMarco ConederaPatrick FontiArthur GesslerArthur GesslerMatthias HaeniGünter HochAnsgar KahmenRoger KöchliMarcus MaederMarcus MaederDaniel NievergeltMartina PeterRichard L. PetersRichard L. PetersRichard L. PetersMarcus SchaubVolodymyr TrotsiukLorenz WalthertMicah WilhelmWerner EugsterFrontiers Media S.A.articleearly-warningradial wood and bark growthforest dynamicsResearch Infrastructuretree water relationsobservation systemForestrySD1-669.5Environmental sciencesGE1-350ENFrontiers in Forests and Global Change, Vol 4 (2021)
institution DOAJ
collection DOAJ
language EN
topic early-warning
radial wood and bark growth
forest dynamics
Research Infrastructure
tree water relations
observation system
Forestry
SD1-669.5
Environmental sciences
GE1-350
spellingShingle early-warning
radial wood and bark growth
forest dynamics
Research Infrastructure
tree water relations
observation system
Forestry
SD1-669.5
Environmental sciences
GE1-350
Roman Zweifel
Sophia Etzold
David Basler
David Basler
Reinhard Bischoff
Sabine Braun
Nina Buchmann
Marco Conedera
Patrick Fonti
Arthur Gessler
Arthur Gessler
Matthias Haeni
Günter Hoch
Ansgar Kahmen
Roger Köchli
Marcus Maeder
Marcus Maeder
Daniel Nievergelt
Martina Peter
Richard L. Peters
Richard L. Peters
Richard L. Peters
Marcus Schaub
Volodymyr Trotsiuk
Lorenz Walthert
Micah Wilhelm
Werner Eugster
TreeNet–The Biological Drought and Growth Indicator Network
description The TreeNet research and monitoring network has been continuously collecting data from point dendrometers and air and soil microclimate using an automated system since 2011. The goal of TreeNet is to generate high temporal resolution datasets of tree growth and tree water dynamics for research and to provide near real-time indicators of forest growth performance and drought stress to a wide audience. This paper explains the key working steps from the installation of sensors in the field to data acquisition, data transmission, data processing, and online visualization. Moreover, we discuss the underlying premises to convert dynamic stem size changes into relevant biological information. Every 10 min, the stem radii of about 420 trees from 13 species at 61 sites in Switzerland are measured electronically with micrometer precision, in parallel with the environmental conditions above and below ground. The data are automatically transmitted, processed and stored on a central server. Automated data processing (R-based functions) includes screening of outliers, interpolation of data gaps, and extraction of radial stem growth and water deficit for each tree. These long-term data are used for scientific investigations as well as to calculate and display daily indicators of growth trends and drought levels in Switzerland based on historical and current data. The current collection of over 100 million data points forms the basis for identifying dynamics of tree-, site- and species-specific processes along environmental gradients. TreeNet is one of the few forest networks capable of tracking the diurnal and seasonal cycles of tree physiology in near real-time, covering a wide range of temperate forest species and their respective environmental conditions.
format article
author Roman Zweifel
Sophia Etzold
David Basler
David Basler
Reinhard Bischoff
Sabine Braun
Nina Buchmann
Marco Conedera
Patrick Fonti
Arthur Gessler
Arthur Gessler
Matthias Haeni
Günter Hoch
Ansgar Kahmen
Roger Köchli
Marcus Maeder
Marcus Maeder
Daniel Nievergelt
Martina Peter
Richard L. Peters
Richard L. Peters
Richard L. Peters
Marcus Schaub
Volodymyr Trotsiuk
Lorenz Walthert
Micah Wilhelm
Werner Eugster
author_facet Roman Zweifel
Sophia Etzold
David Basler
David Basler
Reinhard Bischoff
Sabine Braun
Nina Buchmann
Marco Conedera
Patrick Fonti
Arthur Gessler
Arthur Gessler
Matthias Haeni
Günter Hoch
Ansgar Kahmen
Roger Köchli
Marcus Maeder
Marcus Maeder
Daniel Nievergelt
Martina Peter
Richard L. Peters
Richard L. Peters
Richard L. Peters
Marcus Schaub
Volodymyr Trotsiuk
Lorenz Walthert
Micah Wilhelm
Werner Eugster
author_sort Roman Zweifel
title TreeNet–The Biological Drought and Growth Indicator Network
title_short TreeNet–The Biological Drought and Growth Indicator Network
title_full TreeNet–The Biological Drought and Growth Indicator Network
title_fullStr TreeNet–The Biological Drought and Growth Indicator Network
title_full_unstemmed TreeNet–The Biological Drought and Growth Indicator Network
title_sort treenet–the biological drought and growth indicator network
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/a23ce7e6b3de4ec7a083c417ea538d69
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